Database Marketing Quotes

Life is Beautiful? Beyond all the vicissitudes that are presented to us on this short path within this wild planet, we can say that life is beautiful. No one can ever deny that experiencing the whirlwind of emotions inside this body is a marvel, we grow with these life experiences, we strengthen ourselves and stimulate our feelings every day, in this race where the goal is imminent death sometimes we are winners and many other times we lose and the darkness surprises us and our heart is disconnected from this reality halfway and connects us to the server of the matrix once more, debugging and updating our database, erasing all those experiences within this caracara of flesh and blood, waiting to return to earth again. "Life is beautiful gentlemen" is cruel and has unfair behavior about people who looked like a bundle of light and left this platform for no apparent reason, but its nature is not similar to our consciousness and feelings, she has a script for each of us because it was programmed that way, the architects of the game of life they know perfectly well that you must experiment with all the feelings, all the emotions and evolve to go to the next levels. You can't take a quantum leap and get through the game on your own. inventing a heaven and a hell in order to transcend, that comes from our fears of our imagination not knowing what life has in store for us after life is a dilemma "rather said" the best kept secret of those who control us day by day. We are born, we grow up, we are indoctrinated in the classrooms and in the jobs, we pay our taxes, we reproduce, we enjoy the material goods that it offers us the system the marketing of disinformation, Then we get old, get sick and die. I don't like this story! It looks like a parody of Noam Chomsky, Let's go back to the beautiful description of beautiful life, it sounds better! Let's find meaning in all the nonsense that life offers us, 'Cause one way or another we're doomed to imagine that everything will be fine until the end of matter. It is almost always like that. Sometimes life becomes a real nightmare. A heartbreaking horror that we find impossible to overcome. As we grow up, we learn to know the dark side of life. The terrors that lurk in the shadows, the dangers lurking around every corner. We realize that reality is much harsher and ruthless than we ever imagined. And in those moments, when life becomes a real hell, we can do nothing but cling to our own existence, summon all our might and fight with all our might so as not to be dragged into the abyss. But sometimes, even fighting with all our might is not enough. Sometimes fate is cruel and takes away everything we care about, leaving us with nothing but pain and hopelessness. And in that moment, when all seems lost, we realize the terrible truth: life is a death trap, a macabre game in which we are doomed to lose. And so, as we sink deeper and deeper into the abyss, while the shadows envelop us and terror paralyzes us, we remember the words that once seemed to us so hopeful: life is beautiful. A cruel and heartless lie, that leads us directly to the tragic end that death always awaits us.

When the marketing department needed data from Diane’s database, they could use extremely personal information in their mailings to not only customize a sales pitch to that person but also let them know “we care about you so much that we looked up everything we could find about you in real life.” Customers were often so flattered by this gesture that they would send thank-you notes like “How did you find all this out?” or “Who are you people?” or “I have never told anyone this fact, so how did you know?

Since it is all based on statistics, the size of the company's database is the key to make accurate predictions. Hence the first company to build a giant genetic database will provide customers with the best predictions, and will potentially corner the market. US biotech companies are increasingly worried that strict privacy laws in the USA combined with Chinese disregard for individual privacy may hand China the genetic market on a plate.

In fact, as these companies offered more and more (simply because they could), they found that demand actually followed supply. The act of vastly increasing choice seemed to unlock demand for that choice. Whether it was latent demand for niche goods that was already there or a creation of new demand, we don't yet know. But what we do know is that the companies for which we have the most complete data - netflix, Amazon, Rhapsody - sales of products not offered by their bricks-and-mortar competitors amounted to between a quarter and nearly half of total revenues - and that percentage is rising each year. in other words, the fastest-growing part of their businesses is sales of products that aren't available in traditional, physical retail stores at all. These infinite-shelf-space businesses have effectively learned a lesson in new math: A very, very big number (the products in the Tail) multiplied by a relatives small number (the sales of each) is still equal to a very, very big number. And, again, that very, very big number is only getting bigger. What's more, these millions of fringe sales are an efficient, cost-effective business. With no shelf space to pay for - and in the case of purely digital services like iTunes, no manufacturing costs and hardly any distribution fees - a niche product sold is just another sale, with the same (or better) margins as a hit. For the first time in history, hits and niches are on equal economic footing, both just entries in a database called up on demand, both equally worthy of being carried. Suddenly, popularity no longer has a monopoly on profitability.

So when Amazon opened up the Kindle platform to allow people to publish their own books, it was like every author’s prayers had been answered. Here was a way to put your book onto the database of the biggest bookseller on the planet – completely free of charge – and earn up to 70% royalties. Many authors jumped in gleefully – ourselves included. We’ve done very well from Amazon and have no complaints. Nancy was traditionally published originally and decided to leave her last publisher to become an Indie (independent author) because the royalties were higher. She knows first-hand just how little marketing publishers actually do for their authors.

1. No cold calling. Ever. You should attempt to sell only to warm leads. 2. Before you try to sell anything, you must know how much you’re willing to pay to get a new customer. 3. A prospect who “finds” you first is more likely to buy from you than if you find him. 4. You will dramatically enhance your credibility as a salesperson by authoring, speaking, and publishing quality information. 5. Generate leads with information about solving problems, not information about the product itself. 6. You can attain the best negotiating position with customers only when your marketing generates “deal flow” that exceeds your capacity. 7. The most valuable asset you can own is a well-maintained customer database, because people who’ve already bought from you are way easier to sell to than strangers.

Radically better software robustness and productivity are to be had only by moving up a level, and making programs by the composition of modules, or objects. An especially promising trend is the use of mass-market packages as the platforms on which richer and more customized products are built. A truck-tracking system is built on a shrink-wrapped database and communications package; so is a student information system. The want ads in computer magazines offer hundreds of Hypercard stacks and customized templates for Excel, dozens of special functions in Pascal for MiniCad or functions in AutoLisp for AutoCad.

Include every person you can think of. EVERY person. It doesn’t matter if you think they are a prospect or not. Your database will be one of your most important assets. Everyone goes on the list. If they are negative, put them on your list. If you hate them, put them on your list. If they are your best friend, put them on your list. If they’ve said, “I’ll never be involved in Network Marketing,” put them on your list. If they’re 98 years old, put them on your list. If they’re 18 years old, put them on your list.

Organizations seeking to commercialize open source software realized this, of course, and deliberately incorporated it as part of their market approach. In a 2013 piece on Pando Daily, venture capitalist Danny Rimer quotes then-MySQL CEO Mårten Mickos as saying, “The relational database market is a $9 billion a year market. I want to shrink it to $3 billion and take a third of the market.” While MySQL may not have succeeded in shrinking the market to three billion, it is interesting to note that growing usage of MySQL was concurrent with a declining ability of Oracle to sell new licenses. Which may explain both why Sun valued MySQL at one third of a $3 billion dollar market and why Oracle later acquired Sun and MySQL. The downward price pressure imposed by open source alternatives have become sufficiently visible, in fact, as to begin raising alarm bells among financial analysts. The legacy providers of data management systems have all fallen on hard times over the last year or two, and while many are quick to dismiss legacy vendor revenue shortfalls to macroeconomic issues, we argue that these macroeconomic issues are actually accelerating a technology transition from legacy products to alternative data management systems like Hadoop and NoSQL that typically sell for dimes on the dollar. We believe these macro issues are real, and rather than just causing delays in big deals for the legacy vendors, enterprises are struggling to control costs and are increasingly looking at lower cost solutions as alternatives to traditional products. — Peter Goldmacher Cowen and Company

As such, the company’s value from a technology perspective isn’t software, strictly speaking, but rather outsourced effort. Any business can download and run software like MySQL or PostgreSQL at no cost. But hosting it, keeping it up and running, backing up the databases, and exposing them safely to other applications requires expertise and effort. For many customers, and AWS customers in particular, then, the value isn’t in the software itself — because that is available at no cost — but the saved expertise and effort of consuming the infrastructure software as a service. Amazon, in other words, is making money with software, rather than from software.

As a result, the most important recommendation for organizations of all shapes and sizes moving forward is to anticipate worst case scenarios at a minimum. Even in cases where organizations cannot or will not make some of the operational changes recommended below, the exercise of focusing on nonsoftware areas of a given business can help identify under-realized or -appreciated assets within an organization. Particularly ones for whom the sale of software has been low effort, brainstorming about other potential revenue opportunities is unlikely to be time wasted. One vendor in the business intelligence and analytics space has privately acknowledged doing just this; based on current research and projecting current trends forward, it is in the process of building out a 10-year plan over which it assumes that the upfront licensing model will gradually approach zero revenue. In its place, the vendor plans to build out subscription and data-based revenue streams. Even if the plan ultimately proves to be unnecessary, the exercise has been enormously useful internally for the insight gained into its business.

The factors that usually decide presidential elections—the economy, likability of the candidates, and so on—added up to a wash, and the outcome came down to a few key swing states. Mitt Romney’s campaign followed a conventional polling approach, grouping voters into broad categories and targeting each one or not. Neil Newhouse, Romney’s pollster, said that “if we can win independents in Ohio, we can win this race.” Romney won them by 7 percent but still lost the state and the election. In contrast, President Obama hired Rayid Ghani, a machine-learning expert, as chief scientist of his campaign, and Ghani proceeded to put together the greatest analytics operation in the history of politics. They consolidated all voter information into a single database; combined it with what they could get from social networking, marketing, and other sources; and set about predicting four things for each individual voter: how likely he or she was to support Obama, show up at the polls, respond to the campaign’s reminders to do so, and change his or her mind about the election based on a conversation about a specific issue. Based on these voter models, every night the campaign ran 66,000 simulations of the election and used the results to direct its army of volunteers: whom to call, which doors to knock on, what to say. In politics, as in business and war, there is nothing worse than seeing your opponent make moves that you don’t understand and don’t know what to do about until it’s too late. That’s what happened to the Romney campaign. They could see the other side buying ads in particular cable stations in particular towns but couldn’t tell why; their crystal ball was too fuzzy. In the end, Obama won every battleground state save North Carolina and by larger margins than even the most accurate pollsters had predicted. The most accurate pollsters, in turn, were the ones (like Nate Silver) who used the most sophisticated prediction techniques; they were less accurate than the Obama campaign because they had fewer resources. But they were a lot more accurate than the traditional pundits, whose predictions were based on their expertise. You might think the 2012 election was a fluke: most elections are not close enough for machine learning to be the deciding factor. But machine learning will cause more elections to be close in the future. In politics, as in everything, learning is an arms race. In the days of Karl Rove, a former direct marketer and data miner, the Republicans were ahead. By 2012, they’d fallen behind, but now they’re catching up again.

Structured methods for learning Method Uses Useful for Organizational climate and employee satisfaction surveys Learning about culture and morale. Many organizations do such surveys regularly, and a database may already be available. If not, consider setting up a regular survey of employee perceptions. Useful for managers at all levels if the analysis is available specifically for your unit or group. Usefulness depends on the granularity of the collection and analysis. This also assumes the survey instrument is a good one and the data have been collected carefully and analyzed rigorously. Structured sets of interviews with slices of the organization or unit Identifying shared and divergent perceptions of opportunities and problems. You can interview people at the same level in different departments (a horizontal slice) or bore down through multiple levels (a vertical slice). Whichever dimension you choose, ask everybody the same questions, and look for similarities and differences in people’s responses. Most useful for managers leading groups of people from different functional backgrounds. Can be useful at lower levels if the unit is experiencing significant problems. Focus groups Probing issues that preoccupy key groups of employees, such as morale issues among frontline production or service workers. Gathering groups of people who work together also lets you see how they interact and identify who displays leadership. Fostering discussion promotes deeper insight. Most useful for managers of large groups of people who perform a similar function, such as sales managers or plant managers. Can be useful for senior managers as a way of getting quick insights into the perceptions of key employee constituencies. Analysis of critical past decisions Illuminating decision-making patterns and sources of power and influence. Select an important recent decision, and look into how it was made. Who exerted influence at each stage? Talk with the people involved, probe their perceptions, and note what is and is not said. Most useful for higher-level managers of business units or project groups. Process analysis Examining interactions among departments or functions and assessing the efficiency of a process. Select an important process, such as delivery of products to customers or distributors, and assign a cross-functional group to chart the process and identify bottlenecks and problems. Most useful for managers of units or groups in which the work of multiple functional specialties must be integrated. Can be useful for lower-level managers as a way of understanding how their groups fit into larger processes. Plant and market tours Learning firsthand from people close to the product. Plant tours let you meet production personnel informally and listen to their concerns. Meetings with sales and production staff help you assess technical capabilities. Market tours can introduce you to customers, whose comments can reveal problems and opportunities. Most useful for managers of business units. Pilot projects Gaining deep insight into technical capabilities, culture, and politics. Although these insights are not the primary purpose of pilot projects, you can learn a lot from how the organization or group responds to your pilot initiatives. Useful for managers at all levels. The size of the pilot projects and their impact will increase as you rise through the organization.

I was marketing a database called DB2. DB2 was best known as the leading database platform on a mainframe (that’s what we used to call giant, powerful computers back in the olden days).

In our quest to create the Valuegraphics Database, we discovered the outrageous inaccuracies of demographic profiling. Turns out, people who share a demographic label are incredibly different from each other and don’t share the same values at all.

This picture is clear to Bruce Cobb, general manager of a company that sells cattle to meatpackers on behalf of feedlots. Cobb’s company, Consolidated Beef Producer, keeps reams of data on the cattle market. The state of competition is the lifeblood of his firm because it negotiates its sales. Cobb kept a database of feedlot auctions and sales for a one-year period in 2010. The database covered sales in Texas, Oklahoma, and New Mexico. It showed that during the year, there were only two weeks when all four of the big meatpackers were bidding for cattle.

Can one unearth above-average fund managers, who can consistently or over time beat the market? Once again, the academic research is gloomy for the investment industry. Using the database first started by Jim Lorie’s Center for Research in Security Prices, S&P Dow Jones Indices publishes a semiannual “persistence scorecard” on how often top-performing fund managers keep excelling. The results are grim reading, with less than 3 percent of top-performing equity funds remaining in the top after five years. In fact, being a top performer is more likely to presage a slump than a sustained run.18 As a result, as Fernando’s defenestration highlighted, the hurdle to retain the faith of investors keeps getting higher, even for fund managers who do well.* In the 1990s, the top six deciles of US equities-focused mutual funds enjoyed investor inflows, according to Morgan Stanley.19 In the first decade of the new millennium, only the top three deciles did so, and in the 2010–20 period, only the top 10 percent of funds have managed to avoid outflows, and gathered assets at a far slower pace than they would have in the past.

One way to make yourself less vulnerable to copycats is to build a moat around your business. How Can I Build a Moat? As you scale your company, you need to think about how to proactively defend against competition. The more success you have, the more your competitors will grab their battering ram and start storming the castle. In medieval times, you’d dig a moat to keep enemy armies from getting anywhere near your castle. In business, you think about your economic moat. The idea of an economic moat was popularized by the business magnate and investor Warren Buffett. It refers to a company’s distinct advantage over its competitors, which allows it to protect its market share and profitability. This is hugely important in a competitive space because it’s easy to become commoditized if you don’t have some type of differentiation. In SaaS, I’ve seen four types of moats. Integrations (Network Effect) Network effect is when the value of a product or service increases because of the number of users in the network. A network of one telephone isn’t useful. Add a second telephone, and you can call each other. But add a hundred telephones, and the network is suddenly quite valuable. Network effects are fantastic moats. Think about eBay or Craigs-list, which have huge amounts of sellers and buyers already on their platforms. It’s difficult to compete with them because everyone’s already there. In SaaS—particularly in bootstrapped SaaS companies—the network effect moat comes not from users, but integrations. Zapier is the prototypical example of this. It’s a juggernaut, and not only because it’s integrated with over 3,000 apps. It has widened its moat with nonpublic API integrations, meaning that if you want to compete with it, you have to go to that other company and get their internal development team to build an API for you. That’s a huge hill to climb if you want to launch a Zapier competitor. Every integration a customer activates in your product, especially if it puts more of their data into your database, is another reason for them not to switch to a competitor. A Strong Brand When we talk about your brand, we’re not talking about your color scheme or logo. Your brand is your reputation—it’s what people say about your company when you’re not around.

Lastly, for journalists, the challenge ahead is to be polymaths, able to study and work with audiences, manage active databases, curate other content, and work closely with digital engineers and designers to make it all sing. They will need to be more entrepreneurial in their work arrangements, allowing the collective agreements that once ensured jobs for life to morph into new deals that reward journalists for their output as well as their input, and allow their news organizations to move staff more quickly when the market changes.

Most job seekers don’t understand this. If you are not in the recruiter’s database and you are not present on the Internet, to the recruiter, you don’t exist.

THE SEVEN CARDINAL RULES OF THE 80/20 SALES PRO These are the seven cardinal rules of the 80/20 sales professional: 1. No cold calling. Ever. You should attempt to sell only to warm leads. 2. Before you try to sell anything, you must know how much you’re willing to pay to get a new customer. 3. A prospect who “finds” you first is more likely to buy from you than if you find him. 4. You will dramatically enhance your credibility as a salesperson by authoring, speaking, and publishing quality information. 5. Generate leads with information about solving problems, not information about the product itself. 6. You can attain the best negotiating position with customers only when your marketing generates “deal flow” that exceeds your capacity. 7. The most valuable asset you can own is a well-maintained customer database, because people who’ve already bought from you are way easier to sell to than strangers.

Driving the move is a focus by Beijing on the Internet and innovation-driven sectors to boost slowing growth by easing listing rules. Another factor is a stock rally that has seen the Shanghai Composite Index climb 43% this year, although it fell 6.5% on Thursday. Meanwhile, Chinese investors are pouring money into funds that target startups. In 2014, 39 angel investment funds were set up in China, raising $1.07 billion, a 143% increase from the previous high in 2012, according to investment database pedata.cn, which is run by Zero2IPO Research in Beijing. Angel investors typically provide personal funds to finance small startups. High valuations and the loosening of listing rules will draw more Chinese companies to their home market, said Jianbin Gao of PricewaterhouseCoopers in China. “We anticipate significant growth in technology listings on domestic exchanges,” he said.

uninhabitable for the first time since it was declared America’s capital in 1790, and the scientific community predicts that it will remain so for a decade. The stock market plunges as investors anticipate draconian customs regimes that will choke global trade. Fear of further attacks paralyzes America and much of the Western world. Hours after the explosion, a little known terrorist group claims responsibility. It is the first time the president, who was not in Washington at the time of the blast, and his surviving cabinet members, including the director of national intelligence, have heard of the group. After searching intelligence databases, analysts report that the group is linked to three hostile governments, all of which have issued statements condemning the

Companies that build and maintain databases in the cloud are snagging a growing slice of the $36 billion market.

We have a very vast array of hands on computer technical support experience spanning twenty years as licensed Microsoft, Cisco and Novell computer network engineers. Computer Repair, Computer Service, Computer Support, Computer Consultant, Tech Support, IT Service, IT Support, PC Repair, Network Repair, Laptop Repair, Data Recovery, Disaster Recovery, Data Transfer, IT Repair, IT Consultant, PC Service, PC Support, PC Consultant, Network Service, Network Support, Network Consultant, Laptop Service, Laptop Support, IT Management, Computer Virus Removal, Computer Spyware Removal, Computer Services, Network and Wireless Installation, Server and Workstation Installation, Repair, Programming, IT Recruitment and Placement, Website Design, Website Promotion, Database Design, E-Commerce, Network Design, Network Audits, Internet Research and Sourcing, Computer Science Expert Witness, Computer Science Forensics, Disaster Recovery and Planning, Computer Consulting, Project Management, IT Department Outsourcing and Management, Maintenance Contracts, IT Audits, Free Onsite Needs Assessment, Search Engine Marketing, Search Engine Optimization, Computer Server Repair, Computer Network Repair.

The big problem is that the messages, while they can be and sometimes are personalized, are seldom filled with dynamic content based on what we know about each customer. We have these rich databases, but we do not use the rich data that they hold. To use it requires many creative staff members who dream up the dynamic content. The thought is, “Subscribers who are over 65 have certain interests, while other subscribers are college students who have different interests. We will vary our messages based on this knowledge, and also do that for about a half-dozen other subscriber segments to make our relationships richer for them and more profitable for us.” This makes a lot of sense, but few marketers today are doing anything like that. They are blasting identical content to every subscriber or customer whose e-mail or address they can get their hands on.

Social marketing is distinguished from other planning frameworks discussed in this book by four principles: (1) a commitment to create satisfying exchanges, (2) the use of marketing’s conceptual framework to design interventions, (3) a data-based consumer orientation, and (4) segmentation of populations and careful selection of target audiences.

One result of this productive system is that the middle class has grown from being about 15 percent of the population in 1920 to being 86 percent of the population in 2011. While some of the population always seem to live at the poverty line, the vast majority of Americans today are affluent compared to their grandparents. They have the money to buy the products produced by American industry. In the process, the definition of poverty has changed. The majority of Americans who are classified by the government as living at the poverty level have indoor plumbing, color television sets, cell phones, air-conditioning, washers and dryers, microwaves, automobiles, and access to free health care. They are also a significant buying group.

Creating Key User Segments The beauty with segmentation is that it can be used for more than email targeting. You can use your segmentation for tracking and reporting, to recruit candidates for interviews, and for quality assurance. If your segmentation doesn’t get you the right users, you want to find out as quickly as possible. Before starting to write emails, you’ll want to create key user segments. Those could be: people who haven’t signed up for your product (if the required data is available); people who signed up today; people who signed up in the last seven days; people who signed up in the last seven days, but didn’t engage, or didn’t activate; people who signed up in the last 30, 60 or 90 days and activated; inactive users; users whose trial is about to end or just ended and that you would eventually like to convert; paid subscribers in their first month; paid subscribers retained for two months or more; subscribers on annual plans; users who you think would be willing to refer your product to others; subscribers who cancelled; subscribers who cancelled more than once; or signups per specific acquisition channel. Don’t go too far, but do try to test real segments with real data. Let them run a few weeks. Do users flow through the way you’d expect them to? Go through random profiles in each of these segments and compare with the data from your database. Are those the users you’d expect to find in each of these segments? Any issues? You want to uncover issues with the implementation or your segmentation as early as possible. It’s easier if you do this—and much less costly in terms of mistakes—before you start sending emails than after. Make sure you can track users across different segments and that your segments truly are mutually exclusive when they need to be. Identify issues, adjust, and refine. This step will save your team a lot of headaches later on. As you test your segments, make them available to the rest of your team. Your colleagues can also help point out issues. At this point, if there aren’t any major issues, your setup is complete. Let’s get started sending some emails!

Finally, Christians can use more-advanced strategies like geofencing. Geofencing is a powerful marketing strategy my marketing company uses for commercial clients. It targets prospects and gathers their mobile IDs based on their physical location. You can target your prospect by time and/or location — for example, anyone who went to a selected church in the last week, in the last month, or in the last six months. You can also select anyone who went just one time, two times in one month, four times in two months, and so on. It’s a great way to get very specific contact lists that meet pretty much any criteria you can think of. If a pastor simply won’t talk about the election, geofencing their church is a good way to get directly to the church attendees. For one campaign, my company “fenced” 74 different evangelical churches in a candidate's district and gathered 94,000 mobile IDs, thereby building a large database in a short amount of time. In the end, we collected the contact information of 10,000 highly motivated voters who were also considered “low propensity” voters for the clients’ database. We also generated potential voters by getting: • 100,000+ landing page visitors. • 942,000 ad impressions. • 288,000 video views. All these views and ad impressions led to increased voter awareness and turnout for our client.

Understanding Financial Risks and Companies Mitigate them? Financial risks are the possible threats, losses and debts corporations face during setting up policies and seeking new business opportunities. Financial risks lead to negative implications for the corporations that can lead to loss of financial assets, liabilities and capital. Mitigation of risks and their avoidance in the early stages of product deployment, strategy-planning and other vital phases is top-priority for financial advisors and managers. Here's how to mitigate risks in financial corporates:- ● Keeping track of Business Operations Evaluating existing business operations in the corporations will provide a holistic view of the movement of cash-flows, utilisation of financial assets, and avoiding debts and losses. ● Stocking up Emergency Funds Just as families maintain an emergency fund for dealing with uncertainties, the same goes for large corporates. Coping with uncertainty such as the ongoing pandemic is a valuable lesson that has taught businesses to maintain emergency funds to avoid economic lapses. ● Taking Data-Backed Decisions Senior financial advisors and managers must take well-reformed decisions backed by data insights. Data-based technologies such as data analytics, science, and others provide resourceful insights about various economic activities and help single out the anomalies and avoid risks. Enrolling for a course in finance through a reputed university can help young aspiring financial risk advisors understand different ways of mitigating risks and threats. The IIM risk management course provides meaningful insights into the other risks involved in corporations. What are the Financial Risks Involved in Corporations? Amongst the several roles and responsibilities undertaken by the financial management sector, identifying and analysing the volatile financial risks. Financial risk management is the pinnacle of the financial world and incorporates the following risks:- ● Market Risk Market risk refers to the threats that emerge due to corporational work-flows, operational setup and work-systems. Various financial risks include- an economic recession, interest rate fluctuations, natural calamities and others. Market risks are also known as "systematic risk" and need to be dealt with appropriately. When there are significant changes in market rates, these risks emerge and lead to economic losses. ● Credit Risk Credit risk is amongst the common threats that organisations face in the current financial scenarios. This risk emerges when a corporation provides credit to its borrower, and there are lapses while receiving owned principal and interest. Credit risk arises when a borrower falters to make the payment owed to them. ● Liquidity Risk Liquidity risk crops up when investors, business ventures and large organisations cannot meet their debt compulsions in the short run. Liquidity risk emerges when a particular financial asset, security or economic proposition can't be traded in the market. ● Operational Risk Operational risk arises due to financial losses resulting from employee's mistakes, failures in implementing policies, reforms and other procedures. Key Takeaway The various financial risks discussed above help professionals learn the different risks, threats and losses. Enrolling for a course in finance assists learners understand the different risks. Moreover, pursuing the IIM risk management course can expose professionals to the scope of international financial management in India and other key concepts.

...SQL is very far from being the “perfect” relational language—it suffers from numerous sins of both omission and commission. ...the overriding issue is simply that SQL fails in all too many ways to support the relational model properly. As a consequence, it is not at all clear that today's SQL products really deserve to be called “relational” at all! Indeed, as far as this writer is aware, there is no product on the market today that supports the relational model in its entirety. This is not to say that some parts of the model are unimportant; on the contrary, every detail of the model is important, and important, moreover, for genuinely practical reasons. Indeed, the point cannot be stressed too strongly that the purpose of relational theory is not just “theory for its own sake”; rather, the purpose is to provide a base on which to build systems that are 100 percent practical. But the sad fact is that the vendors have not yet really stepped up to the challenge of implementing the theory in its entirety. As a consequence, the “relational” products of today regrettably all fail, in one way or another, to deliver on the full promise of relational technology.

Positioning Story: From database to data warehouse Early in my career I worked at a startup founded by a group of folks with PhDs in database technology. Our product was a special kind of database that could quickly find something in a very large collection of data, much faster than the popular databases on the market at the time. We never questioned the way we thought about that product — we were database people and we had built a new kind of database — what else could it be? The problem, of course, was that at that time the world didn’t know it needed a fancy new database. When we met with potential customers and started with “Hi, we’d love to show you our database...,

Roomba, made headlines when the company’s CEO, Colin Angle, told Reuters about its data-based business strategy for the smart home, starting with a new revenue stream derived from selling floor plans of customers’ homes scraped from the machine’s new mapping capabilities. Angle indicated that iRobot could reach a deal to sell its maps to Google, Amazon, or Apple within the next two years. In preparation for this entry into surveillance competition, a camera, new sensors, and software had already been added to Roomba’s premier line, enabling new functions, including the ability to build a map while tracking its own location. The market had rewarded iRobot’s growth vision, sending the company’s stock price to $102 in June 2017 from just $35 a year earlier, translating into a market capitalization of $2.5 billion on revenues of $660 million.1 Privacy

Guns are one of the many things which haven't changed as much as everyone thought they would. Sure, there was a period when you saw laser pistols on the streets. Problem was, it was a little too easy to catch a reflection in the heat of the moment and end up slicing your own head off. Also, they were just a bit plasticky. When you go marching into some bad situation you want to be racking a shell into a pump-action shotgun. It feels right. It feels tough. It scares the shit out of the other guy. Nervously fingering a little switch wasn't visceral enough and neither was the sound the lasers made. You don't want something which goes ‘tzzz’ or ‘schvip’. You want something which goes CRACK! or BANG! Trust me; I know what I'm talking about. The manufacturers tried to get round the problem by putting little speakers in the laser which played a sampled bang when you pulled the trigger, but it always sounded a bit tinny. And the ones that played a snatch of Chopin's Death March were just fucking silly. Then there was a phase of guns which had moral qualms. Originally, they came out of the home defence market. The guns had a built-in database of legal precedent, monitored any given situation closely, and wouldn't let you fire unless they were sure you had a good cause for a self-defence plea. Most of these guns had other settings too, like ‘Justifiable Homicide’, ‘Manslaughter’, ‘Murder Two’, and ultimately ‘Murder One’. I kept mine on ‘Murder One’ the whole time. So did everyone else. The whole thing was completely pointless. In the end I threw mine away.

The Instagram versus Hipstamatic story is perhaps the canonical example of a strategy made famous by Chris Dixon’s 2015 essay “Come for the tool, stay for the network.” Chris writes: A popular strategy for bootstrapping networks is what I like to call “come for the tool, stay for the network.” The idea is to initially attract users with a single-player tool and then, over time, get them to participate in a network. The tool helps get to initial critical mass. The network creates the long term value for users, and defensibility for the company.40 There are many other examples across many sectors beyond photo apps: The Google Suite provides stand-alone tools for people to create documents, spreadsheets, and presentations, but also network features around collaborative editing, and comments. Games like Minecraft or even classics like Street Fighter can be played in single-player mode where you play against the computer, or multiplayer mode where you play with friends. Yelp started out effectively as a directory tool for people to look up local businesses, showing addresses and phone numbers, but the network eventually built out the database of photos and reviews. LinkedIn started as a tool to put your resume online, but encouraged you to build up your professional network over time. “Come for the tool, stay for the network” circumvents the Cold Start Problem and makes it easier to launch into an entire network—with PR, paid marketing, influencers, sales, or any number of tried-and-true channels. It minimizes the size requirement of an atomic network and in turn makes it easy to take on an entire network. Whether it’s photo-sharing apps or restaurant directories, in the framework of the Cold Start Theory, this strategy can be visualized. In effect, a tool can be used to “prop up” the value of the network effects curve when the network is small.

To do index arbitrage, PNP developed techniques in the mid-1980s for finding baskets of stocks that did a particularly good job of tracking an index. We used this very profitably the day after “Black Monday,” October 19, 1987, to capture a spread of over 10 percent between the S&P 500 Index and the futures contracts on it. Quants have honed this to a fine art and, through their trading, generally keep the price discrepancy very small. To cut taxes, start with a tracking basket and, each time a stock drops, say, 10 percent, sell the loser and reinvest the proceeds in another stock or stocks chosen so the new basket continues to track well. If you want only short-term losses, which is usually best, sell within a year of purchase. I advise anyone considering doing this in a serious way to study it first with simulations using historical databases.

CRM (Customer Relationship Management) is a marketing strategy that focuses on managing interactions and relationships with customers. CRM enables businesses to improve customer satisfaction, loyalty, and retention by providing personalized experiences that meet their needs. CRM is an essential aspect of modern marketing as it enables businesses to understand their customers' behavior, preferences, and needs and develop targeted marketing campaigns that resonate with them. In Go High Level, CRM (Customer Relationship Management) is a core component of the platform. The CRM functionality in Go High Level enables businesses to manage their customer interactions and relationships more effectively, improving customer satisfaction, loyalty, and retention. The CRM functionality in Go High Level includes a range of features and tools designed to help businesses automate and streamline their customer-facing processes, as well as provide them with insights into their customers' behavior, preferences, and needs. In essence, CRM is a set of practices, technologies, and strategies that businesses use to manage their customer interactions and relationships. The goal of CRM is to build stronger, more meaningful relationships with customers by providing them with personalized experiences and tailored solutions. CRM in marketing can be divided into three main categories: operational CRM, analytical CRM, and collaborative CRM. Operational CRM focuses on automating and streamlining customer-facing processes, such as sales, marketing, and customer service. This type of CRM is designed to improve efficiency and productivity by automating repetitive tasks and providing a centralized database of customer information. Operational CRM includes features such as sales pipeline management, lead nurturing, and customer service management. Analytical CRM focuses on analyzing customer data to gain insights into their behavior, preferences, and needs. This type of CRM enables businesses to make data-driven decisions by providing them with a better understanding of their customers' needs and preferences. Analytical CRM includes features such as customer segmentation, data mining, and predictive analytics. Collaborative CRM focuses on enabling businesses to collaborate and share customer information across different departments and functions. This type of CRM helps to break down silos within organizations and improve communication and collaboration between different teams. Collaborative CRM includes features such as customer feedback management, social media monitoring, and knowledge management. CRM is important for marketing because it enables businesses to build stronger, more meaningful relationships with customers. By understanding their customers' behavior, preferences, and needs, businesses can develop targeted marketing campaigns that resonate with them. This results in higher customer satisfaction, loyalty, and retention. CRM can also help businesses to improve their sales and marketing processes by providing them with better visibility into their sales pipeline and enabling them to track and analyze their marketing campaigns' effectiveness. This enables businesses to make data-driven decisions to improve their sales and marketing strategies, resulting in increased revenue and growth. Another benefit of CRM in marketing is that it enables businesses to personalize their marketing campaigns. Personalization is essential in modern marketing as it enables businesses to tailor their marketing messages and solutions to meet their customers' specific needs and preferences. This results in higher engagement and conversion rates, as customers are more likely to respond to marketing messages that resonate with them. Lead Generation: Go High Level provides businesses with a range of tools to generate leads, including customizable landing pages, web forms, and social media integrations.

I believe the technological industry is switching in a different direction that one may think in the Metaverse. Why spend trillions of dollars on big data when it is becoming more useless? We need dynamic content to create a boom in the tech industry for the next millennium. Why hire someone with a 4 year degree from college for a career in database administration when companies can't afford to pay 100k a year? We can manage it quite fine in google sheets or excel. The utilization of AI will then completely defeat the purpose of Data As A Service when a program can dynamically build hash objects in random access memory by simply using a small script like (via switch) while creating a [5th XYZ Stargate] just like the Diablo version, but with a smaller seed. You could then store those objects for the blockchain Inna virtualized file container ;)." - Jonathan Roy Mckinney

I define that the tech industry switches in all directions contrary to what people believe as the norm for the new Metaverse. Why spend trillions of dollars on big data when it is becoming more useless? We need dynamic content to create a boom in the tech industry for the next millennium. Why hire someone with a 4 year college degree for a career in database administration when companies can't afford to pay 100k a year? We can manage information stores perfectly fine with google sheets or microsoft excel. I thought that utilizing AI would completely switch off problematics in relationship to Data As A Service when programs are dynamically building hash tables for objects in random access memory, storing them as blockchains Inna virtualized file container ;)." - Jonathan Roy Mckinney

As a physics major, before getting her hands dirty in New York, she had assumed that money is printed by a nation’s central bank, from where it is distributed to commercial banks. But while this is indeed how cash is created, cash accounts for only 3 per cent of all money. What of the remaining 97 per cent? Surprise and then foreboding were the reactions of every student to whom she had explained how the missing 97 per cent was created – and by whom: not by central banks but by commercial and investment bankers. At this point, her students would ask, ‘Without access to state-sanctioned printing presses, how do private bankers create money?’ ‘Simple,’ she would reply. ‘Every time a banker approves a loan of, say, one million dollars for Jack, a typical business customer, the banker just types 1,000,000 on Jack’s bank statement. However incredible it may seem, that’s all it takes. Bankers create money by granting loans by typing in some numbers!’ The crucial thing, she would explain, is that these numbers are typed into a shared database – or ledger – to which only the bankers have access. When their customers transfer this ‘money’ between them – when Jack transfers numbers from his account to the account of a supplier, say Jill, or of a builder, say Bob, or of a worker, say Kate, and when in turn, Jill, Bob and Kate transfer their numbers on, in the same way, to others to whom they owe money – these numbers simply migrate from one cell in the database to another. For this system to be sustainable, and not merely a pyramid scheme, there is a single condition: that, somewhere down the line, the one million dollars which some banker typed into existence on Jack’s behalf results in new goods and services whose total market value exceeds one million dollars. It is from this surplus that the banker takes his interest and Jack his profit. This is what Iris was referring to as a fool’s wager when she said that bankers plundered value from the future, or when Costa had once claimed that capitalism, like science fiction, trades in future assets using fictitious currency. It is in their nature that the wealthier bankers become by creating money, the more money they tend to create. The danger of such a system, of course, is that the banks end up typing into existence sums of money vastly larger than the market value of the goods and services created as a result of Jack, Jill, Bob and Kate’s endeavours. At the point when the bankers have collectively created money sums greater than the resulting values, the present can no longer repay the future for the money it borrowed from it. The moment Jack, Jill, Bob and Kate get a whiff of this, they may demand their bank balances in cash, sensing that the total value on the bankers’ database is lower than the actual value of their customers’ assets. ‘At that point, a bank run sets in,’ Eva would tell her students, ‘and that’s when the system comes crashing down.

Tendersontime offers details on the most recent Uttar Pradesh Tenders e-Tender Uttar Pradesh, and Uttar Pradesh Government Tenders, which are issued by the Uttar Pradesh Government's various agencies. Visitors can check for market opportunities in Uttar Pradesh's largest Tender Database, which includes tender up, e-tender Uttar Pradesh, and online tender notices published in the state.

Todo.ly is an online to-do list and task manager. The founders had a goal to reach millions of new users and make Todo.ly widely available as a web application. They succeeded in securing a partnership with Google Chrome and were able to leverage their 200 million user database to help them achieve their one-year growth goal in just three weeks: ● 1000% increase in average daily traffic ● 780% increase in user base ● 400,000 new tasks each month The key was that the Chrome platform was brand new and the Todo.ly application was submitted three to four months prior its launch date. As the Todo.ly app was exactly what Google was looking for to add to the Chrome Webstore, they have contacted the founders and asked for an integrated two clicks login through Google OpenID. Todo.ly has implemented that and became featured from day one. There was a huge marketing campaign around the Chrome Webstore, TV spots, prints, and press conference. Peter Varadi, the founder of Todo.ly, shared his advice based on his personal experience: “Look for new waves of technology, new platforms that are expected to be used by a massive number of people and try to be on that platform as one of first.” In Todo. ly case, it was clearly visible that Chrome had 200 million users already and when they launched their webstore, they would obviously put it front of all their users. Google needed web apps to fill their webstore for the launch and they opened the app submission process a few months earlier. That was a timely opportunity for Todo.ly to jump in. What could be your new wave and chance?

During an interview with Diversity Inc.’s director of research and product development, she walked me through a typical presentation used to pitch the value of the company’s software to prospective clients. I learned that their products are especially valuable to those industries not allowed to collect ethno-racial data directly from individuals because of civil rights legislation that attempts to curb how these data are used to discriminate. But now those who work in finance, housing, and healthcare can use predictive software programs to ascertain information that they cannot request directly. The US Health Insurance Portability and Accountability Act (HIPAA) privacy rule, for example, strictly monitors the collection, storage, and communication of individuals’ “protected health information,” among other features of the law. This means that pharmaceutical companies, which market to different groups, need indirect methods to create customer profiles, because they cannot collect racial-ethnic data directly. This is where Diversity Inc. comes in. Its software programs target customers not only on the basis of race and ethnicity, but also on the basis of socioeconomic status, gender, and a growing list of other attributes. However, the company does not refer to “race” anywhere in their product descriptions. Everything is based on individuals’ names, we are told. “A person’s name is data,” according to the director of research and product development. She explains that her clients typically supply Diversity Inc. with a database of client names and her team builds knowledge around it. The process, she says, has a 96 percent accuracy rate, because so many last names are not shared across racial–ethnic groups – a phenomenon sociologists call “cultural segregation.”18

Platforms beat pipelines by using data-based tools to create community feedback loops.

Web Application Development In this modern world of computer technology all people are using internet. In particular, to take advantage of this scenario the web provides a way for marketers to get to know the people visiting their sites and start communicating with them. One way of doing this is asking web visitors to subscribe to newsletters, to submit an application form when requesting information on products or provide details to customize their browsing experience when next visiting a particular website. In computing, a web application is a client–server software application in which the client runs in a web browser. HTML5 introduced explicit language support for making applications that are loaded as web pages, but can store data locally and continue to function while offline. Web Applications are dynamic web sites combined with server side programming which provide functionalities such as interacting with users, connecting to back-end databases, and generating results to browsers. Examples of Web Applications are Online Banking, Social Networking, Online Reservations, eCommerce / Shopping Cart Applications, Interactive Games, Online Training, Online Polls, Blogs, Online Forums, Content Management Systems, etc.. Applications are usually broken into logical chunks called “tiers”, where every tier is assigned a role. Traditional applications consist only of 1 tier, which resides on the client machine, but web applications lend themselves to an n-tiered approach by nature. Though many variations are possible, the most common structure is the three-tiered application. In its most common form, the three tiers are called presentation, application and storage, in this order. A web browser is the first tier (presentation), an engine using some dynamic Web content technology (such as ASP, CGI, ColdFusion, Dart, JSP/Java, Node.js, PHP, Python or Ruby on Rails) is the middle tier (application logic), and a database is the third tier (storage).The web browser sends requests to the middle tier, which services them by making queries and updates against the database and generates a user interface. Client Side Scripting / Coding – Client Side Scripting is the type of code that is executed or interpreted by browsers. Client Side Scripting is generally viewable by any visitor to a site (from the view menu click on “View Source” to view the source code). Below are some common Client Side Scripting technologies: HTML (HyperTextMarkup Language) CSS (Cascading Style Sheets) JavaScript Ajax (Asynchronous JavaScript and XML) jQuery (JavaScript Framework Library – commonly used in Ajax development) MooTools (JavaScript Framework Library – commonly used in Ajax development) Dojo Toolkit (JavaScript Framework Library – commonly used in Ajax development) Server Side Scripting / Coding – Server Side Scripting is the type of code that is executed or interpreted by the web server. Server Side Scripting is not viewable or accessible by any visitor or general public. Below are the common Server Side Scripting technologies: PHP (very common Server Side Scripting language – Linux / Unix based Open Source – free redistribution, usually combines with MySQL database) Zend Framework (PHP’s Object Oriented Web Application Framework) ASP (Microsoft Web Server (IIS) Scripting language) ASP.NET (Microsoft’s Web Application Framework – successor of ASP) ColdFusion (Adobe’s Web Application Framework) Ruby on Rails (Ruby programming’s Web Application Framework – free redistribution) Perl (general purpose high-level programming language and Server Side Scripting Language – free redistribution – lost its popularity to PHP) Python (general purpose high-level programming language and Server Side Scripting language – free redistribution). We also provide Training in various Computer Languages. TRIRID provide quality Web Application Development Services. Call us @ 8980010210

Services Provided by TRIRID Welcome to TRIRID. Services Provided By TRIRID Mobile Application Development Web Application Development Custom Software Development Database Management Wordpress / PHP Search Engine Optimization Mobile Application Development We offer various Mobile Application Development services for most major platforms like Android, iPhone, .Net etc. At Tririd we develop customized applications considering the industry standards which meet all the customers requirements. Web Application Development Web Application Development technologies include PHP, Ajax, .Net, WordPress, HTML, JavaScript, Bootstrap, Joomla, etc. PHP language is considered one of the most popular & most widely accepted open source web development technology. PHP development is gaining ground in the technology market. Web development using these technologies is considered to offer the most efficient website solutions. The open source based products and tools are regularly studied, used, implemented and deployed by TRIRID. Custom Software Development TRIRID has incredible mastery in Windows Apps Development platform working on the .NET framework. We have done bunch of work for some companies and helping them to migrate to a new generation windows based solution. We at TRIRID absolutely comprehend your custom needs necessities and work in giving high caliber and adaptable web API services for your web presence. TRIRID offers a range of utility software packages to meet and assortment of correspondence needs while including peripherals. We offer development for utility software like plugin play, temperature controller observation or embedding solutions. Database Management In any organization data is the main foundation of information, knowledge and ultimately the wisdom for correct decisions and actions. On the off chance that the data is important, finished, exact, auspicious, steady, significant and usable, at that point it will doubtlessly help in the development of the organization If not, it can turn out to be a useless and even harmful resource. Our team of database experts analyse your database and find out what causes the performance issues and then either suggest or settle the arrangement ourselves. We provide optimization for fast processing better memory management and data security. Wordpress / PHP WordPress, based on MySQL and PHP, is an open source content management system and blogging tool. TRIRID have years of experience in offering different Web design and Web development solutions to our clients and we specialize in WordPress website development. Our capable team of WordPress designers offers all the essential services backed by the stat-of-the-art technology tools. PHP is perhaps the most effective and powerful programming language used to create dynamic sites and applications. TRIRID has extensive knowledge and experience of giving web developing services using this popular programming language. Search Engine Optimization SEO stands for search engine optimization. Search engine optimization is a methodology of strategies, techniques and tactics used to increase the amount of visitors to a website by obtaining a high-ranking placement in the search results page of a search engine (SERP) — including Google, Bing, Yahoo and other search engines. Call now 8980010210

personal conversation last year, “SQL is the new HTML.” Database management is a core competency of Web 2.0 companies, so much so that we have sometimes referred to these applications as "infoware" rather than merely software. This fact leads to a key question: Who owns the data? In the internet era, one can already see a number of cases where control over the database has led to market control and outsized financial returns. The

You will run an aggressive marketing and prospecting campaign built off of the list in Figure 10 on page 138. These activities generate leads. All of these leads go into your 8 x 8 program to establish your relationship with these individuals. Their names are then added to your Met database and they get the 33 Touch treatment each year. The 33 Touch program should then result in repeat and referral business at a rate of one referral and one repeat for every twelve people in the program (or a 12:2 ratio*).

The time was right for our project because the necessary high-quality databases and the powerful new computers with which to explore them were just becoming affordable. By luck, one of our researchers almost immediately found the basic idea behind statistical arbitrage.

Shaking his head, he continues, “It’s harder than ever to convince the business to do the right thing. They’re like kids in a candy store. They read in an airline magazine that they can manage their whole supply chain in the cloud for $499 per year, and suddenly that’s the main company initiative. When we tell them it’s not actually that easy, and show them what it takes to do it right, they disappear. Where did they go? They’re talking to their Cousin Vinnie or some outsourcing sales guy who promises they can do it in a tenth of the time and cost.” I laugh. “A couple of years ago, someone in Marketing asked my group to support a database reporting tool that one of their summer interns wrote. It was actually pretty brilliant, given that she only had a couple of months to work on it, and then it started being used in daily operations. How in the hell do you support and secure something that’s written in Microsoft Access? When the auditors found out that we couldn’t secure access to all the data, we spent weeks cobbling together something that satisfied them. “It’s like the free puppy,” I continue. “It’s not the upfront capital that kills you, it’s the operations and maintenance on the back end.

Here is a quote from marketingcharts.com in January 2013, referring to a recent research campaign into the best converting online marketing techniques. “The study, which examined more than 62 million visits, 215 million page views and 350,000 leads from more than 600 small- and medium-sized B2B websites during 2012, found email’s conversion rate to be 81% higher than the average (2.89% vs. 1.6%) and 42% higher than the next-best performer, referrals (2.04%). “Paid search (1.96%) also had an above-average conversion rate, with direct traffic (1.64%) closer to the mean. Organic search (1.45%) and social media (1.22%) were the lowest-rated in this regard.” It is believed that a database of 10,000 emails is worth more than $100,000 a year to your business, so the sooner you start collecting, the better.