"My son has told me he’s accepted a finance-related job that he’ll start in July and that it is a once-in-a-lifetime opportunity. He’ll earn more money in one day than I earned in nine years of working, but it’s an analytical research job. It’s an analytic research job that has no room for financial disclosures. I have earned a PhD in economics, but I earned it after seven years of graduate school. I’m 40 years old and I’ve learned the financial-disclosure and accounting secrets of investing, paying taxes, paying off student loans, and earning a retirement income. Yes, I’m tempted to suggest that he work for me for a little while. But I’d rather earn money for my own retirement than spend a lifetime trying to save my son’s for mine. My son would rather earn the money himself than earn the right to earn it. I want him to work to earn the money he thinks he needs to earn. On the positive side, the analytical research job will take him a couple of years to complete, so he’ll have the opportunity to earn money while he’s earning his doctorate. And it will also help him develop the skill sets he needs to find a job where he earns more money over the long term. Yes, there are many opportunities for people who earn a finance degree to earn a lot of money. But there’s no guarantee that he’ll earn much more than the person with the analytical research job. If my son earns $100,000 over the next 10 years, then the analytical research person will probably earn $150,000 in 10 years and the finance person will earn $120,000 in 10 years. If my son earns $30,000 more than the finance person, then he’ll earn twice as much as the finance person for the same period of time. If my son earns $75,000 more than the finance person, then he’ll earn four times as much as the finance person over the same period of time. If he earns $150,000 more than the finance person, then he’ll earn 6.5 times as much as the finance person. Okay, that’s the math for now. I’m sure you can guess what I’m going to say next. I’m concerned that my son will earn less over the long term. He’ll earn less than someone who earns a PhD in a broad field of research and earn more than someone who’s paid to do it. I’ll probably earn more over the long term, but it’s hard to know for sure, and I’m not sure I’ll be in a position to make a calculated judgment at that point in time. If I earn $50,000 more over the next 10 years, then I’ll earn $50,000 more than someone who earns a PhD in finance. If I earn $100,000 more over the next 10 years, then I’ll earn $100,000 more than someone who earns a PhD in finance. If I earn $250,000 more over the next 10 years, then I’ll earn $250,000 more than the person who earns a PhD in finance. And if I earn $500,000 more over the next 10 years, then I’ll earn $500,000 more than the person who earns a PhD in finance. I’ll admit that even $250,000 of higher earnings over the next 10 years might not keep my son out of debt, but it will certainly put him ahead"

"Recommending technology firms and research organizations, the multi-billion dollar global investment bank and brokerage firm Credit Suisse said last week it expects the analytical analytics market to grow from $23 billion in 2015 to $96 billion in 2025. One of the fastest growing industries over the next decade is analytics in finance, fueled by new analytical tools and machine learning. At the same time, it is only logical that new analytics tools are popping up around other industries as well, and Credit Suisse agrees. ""More than $120 billion is currently invested globally to employ data analytics techniques to determine commercial lending decisions and also develop new analytical tools and""

"Companies are beginning to offer financial services such as mortgages and financial advice, as opposed to the traditional services of credit cards, insurance, and mutual funds. Strategic Finance Group, which opened this week in Singapore, offers credit cards, mortgages, and financial advice, as well as advisory services for international investing. The Singapore-based company — which has also opened in New York, Sydney, London, and Hong Kong — employs an “analytical model to combine rigorous finance, financial technology, and a range of other services and processes, which enable companies to focus their attention on their core business operations,” according to Chief Executive Officer John Stevenson"

"The practice of launching new research and analytics products before collecting actual data on customers is called “research and analytics earn, earn, earn.” Businesses buy solutions and launch a product before actually gathering analytics from actual customers. Because they can’t sell it before analyzing what customers actually do with the solution, they assume those customers will have a profitable future with the product. But those customers may not have that outcome. “Analytics generate a profit when the customer actually buys the product. Marketing research doesn’t generate a profit. They generate a marketing report,” says Tim Boyd, senior vice president of product marketing at Salesforce Financial analysts do earn a profit, Boyd says,"

"If you're making more money for less work, you are a savvy businessman, but can't quite shake your uncle's attitude toward a career in finance? It sounds like a catch-22: It's impossible to make more money with less work, but if you take on even more work and try to earn more money, you will end up working even more. "We have this culture of allocating a significant portion of our time doing work that we enjoy, that we're good at, that makes us feel smart, but that doesn't necessarily have the big returns," according to Louis Adamski, senior business analyst at the financial firm First Edge. "If that's not something that gets you excited and motivated, it may be harder to work as hard as you have to in order to gain an edge on others." You can't generate more profits with more cash, right? That's exactly what I've been saying"

"In fact, despite their resistance to think differently and constantly seeking to justify their actions, those analysts in the financial community appear quite comfortable with some very similar kinds of research. Finance Analyst Geoffrey Lofthouse writes in Analytical Finance that “financial analysts routinely quote financial reports or analyses that are replete with analytical elements… To know how to be analytical is to figure out how to do research and to learn the tools of analysis, but also to understand how to work with research data, where to look for evidence, where to interpret it and where to interpret what you have found.” And Jason Dixon, who wrote an article titled How to Earn an MBA in"

"When you hear that money may be the driving factor, you don’t necessarily immediately think of saving or spending as you would save your salary or raise your kid to be an accountant. But it is all finance after all, isn’t it? And if you think of earning money as a strategy to earn more, what else can you do to earn more? In this article, I am going to cover how you can earn more and how you can keep your finance from getting stale. Earn More by Owning Your Own Data Research Solutions If you are a regular here on Alpha X Research, you already know that analytics is a very active topic on our research blog. In fact, we started the Analytics Blog a few years back, and there are many more articles on analytics coming our way. But, on this article, I want to focus on those analytics solutions that you can earn money for, if you own them. Why You Should Own Data Research Solutions? When you own your own analytics solution, you get the data that you are analyzing for free. No, I don’t mean you get access to the data and analytics software to keep your analytic projects going; I mean you get access to the data and the data analytics software without paying. The data analytics software is the software and tools that most organizations are moving towards and as it is becoming increasingly more efficient, we would expect that business intelligence and analytics solutions will also be moving towards that way. What can you do with a free analytics solution? Well, if you can execute with less than a handful of data, you can probably save money, right? Isn’t that the case in your company right now? If you have just one data set, that would probably be a lot of money, wouldn’t it? So, if you are using a free analytics solution, you are probably spending a lot less than that. As a matter of fact, you can think about saving more than your money, wouldn’t you? In many cases, in fact, we see that organizations are making money and investing in analytics solutions without even charging for them. I want you to think about the analytics solutions that you already own. How much do you make? What would happen if you could earn a little bit more on top of that, wouldn’t you? What Should You Do To Make More From Your Data Research Solutions? I can’t help but think that you may have a few analytics solutions of your own, but the way you are using them can be very different. For example, some organizations will have an analytics team that develops analytic solutions for their company. In those cases, their analytics solutions can be very powerful, so it wouldn’t be a bad idea to own your analytics solutions, wouldn’t you? It is a smart idea, isn’t it? So if you do own an analytics solution, what can you do to make more money? If you are not sure, it would be wise to visit the website of the analytics solutions, understand how they operate, and see if you can alter the analytics solution to earn more. After all, if you are planning to have your own"

"A Business Analyst’s Guide to Predictive Analytics We’ve all seen the breakthrough predictions by highly analytical forecasters. Researchers like Patrick McKeever and Andrew Hone with MDA Research & Consulting help organizations predict future outcomes with greater accuracy than even human analysts. Take a look at how it works. Our prediction tool uses machine learning techniques to detect meaningful patterns in data and interpret them in order to predict the future state. With the technology behind predictive analytics becoming increasingly powerful and accurate, organizations are pushing their analytics agenda to drive operational and financial performance. Find out how predictive analytics can give you confidence to make better business decisions, maximize financial returns, and measure and improve operational performance. You’ll learn how to: Learn how to use advanced analytics to gain quick insights and make accurate, timely decisions Use advanced analytics to make accurate, timely decisions Learn how to create accurate predictive models using advanced analytic techniques like machine learning Let our predictive analytics model do the research and analysis for you. Apply machine learning to process raw data and uncover new insights and patterns in a business. With a research and analytical model that’s smart enough to explain your future and trigger the actions you need to take, your business will start earning profits again. By learning how to build predictive models using advanced analytics and machine learning techniques, you’ll gain confidence and control over the analytics equation. With a greater understanding of your business, you’ll know how to use your business knowledge to strategically drive business results. Learn how to maximize your data insights, balance your analytical performance, and produce analytics that generate real business results. Learn how to increase your analytical skill set and analytic efficiency so you can uncover data"

"Study Details WebMoney also earned an Analyst Earnings Performance Score of 7.6, which indicates superior earnings performance relative to competing analytical firms such as E^ST, Bloomberg, NAG, Thomson Reuters, Analisa Financial, Sisense and Predictious, the report says. WebMoney is the fifth-largest online financial market provider by annual transaction volume, with revenue growing more than 50 percent annually since 2011. It’s worth noting that WebMoney is already firmly established as a financial research platform. In fact, it already offers analytics for 10 global banks, including Citigroup, Credit Suisse, Deutsche Bank and Societe Generale. See more details from the report: The Excel-based"

"The revenue is so impressive that Silicon Valley investors are already raising money for the start-up. The firm aims to sign up five to 10 new members a day, said co-founder Peter Pi. Some would be paid by the market and others would earn less but get help with research or marketing. Although employees would be part of an established firm, Silicon Valley is hungry for analytics firms that can earn money as they build their businesses. The idea isn't entirely new. There are companies that sell advice and promote financial products to the investor community. But Acuity has a new perspective: It wants to do analytics for everyone who thinks they want to invest, whether they're top traders in the stock market or people who aren't interested in financial markets. The firm has already developed several sophisticated features. It can analyze the text of articles to show investors where they could earn higher returns. In practice, the product doesn't appear to have many competitors and only a few clients have requested it so far, said Pi. In a way, the firm is the complete opposite of Wall Street, which needs to make big profits to justify its stock market status. Another feature is Analytical Trading, which shows analysts in real time what companies are doing, helping them boost earnings by finding ways to meet earnings forecasts or gain a better understanding of a certain industry. It also uses big data to show investors how to buy an undervalued stock, getting them a price they can afford. Another advantage is that Analytics for Financial Markets is supposed to operate at a lower cost than typical financial products. Analysts can have access to the tools, for free, when they use Analytics for Financial Markets, but that will depend on the company's performance in the market, said Pi. In practice, some analysts at established banks do deliver research on demand and profit from that. But the value of the analytic product is beyond doubt. "It's not the money,""

"A financial tech company that provides trading tools to hedge funds, banks and investors has bought research firm ThinkAnalytics. Financial terms of the deal were not disclosed. ThinkAnalytics is one of the fastest-growing analytics firms in finance and focuses on analyzing the financial data produced by investors. It says it has access to more than 1.5 trillion financial transactions on its clients’ behalf, and its tools are often used by corporate finance departments, wealth managers and financial advisors to help make investment decisions. Scott Scherr, ThinkAnalytics’ founder and chief executive, said the acquisition will allow the company to provide clients with more insights about the performance of individual assets and broader market indices. “We are now positioned as a financial research powerhouse to help our"

"This chart displays the number of earnings adjustments (earnings gains and losses) on the earnings before taxes line. This typically goes to the profit margin, but these earnings adjustments also go into earnings reserves and to revenue from treasury. Analysts and investors want to see earnings and revenue grow by as much as possible, regardless of how much they would need to earn on the current portfolio to offset the debt servicing costs. Earnings and revenue need to grow so the firm can pay higher profits, to generate higher revenue and larger profits, so the firm can pay back higher profit-generating investments, etc. Earnings growth reflects not only what the company needs to earn, but the"

"What Is It? In recent years, a new era has dawned on fund companies. About 30 of the biggest in the US – including Fidelity, Goldman Sachs, Morgan Stanley and BlackRock – have launched new funds on a predetermined fee structure. Fund companies claim that the fees paid to fund managers are going down, not up. Although fees vary widely, many are by far the lowest in the fund industry. Industry research shows that typical equity funds had an effective expense ratio of 1.7% last year, according to Morningstar. Fees are being dragged lower, but with limited exceptions, most fund companies have slashed all expenses to about 1%. Even funds that have plenty of underwriters or yield to fund companies are adopting a one-price-fits-all approach. When Is It Coming? Only a few of the new funds have launched, but the expectation is that
"

"Will the world's largest hedge fund use data science to build better portfolios? Early reports of David Einhorn's plans were scant at best. However, it turns out that Einhorn has some interest in analytics. At last week's Sohn Conference in New York, Einhorn said that he would like to make finance more analytic by ""getting more analytic and get data science into the fund industry."" Earlier this month, Einhorn released a market overview and presentation with a blizzard of graphics. The report covers the financial climate, the S&P 500, Apple, and Google. The company used analytical methods in order to decipher ""the facts"" about these issues. The presentation showed whether the prices of Apple and""

"You would probably think I was crazy for promoting earning a six-figure income in the finance sector, but if your goal is to earn a six-figure salary, getting started now is critical. Now, I realize not every business has $6-figures in profit, and it’s not realistic to expect to earn a six-figure salary in finance, any industry. That being said, most industries do earn plenty of money. For example, the average senior analyst salary in the financial sector for 2013 was $131,440, and the average chief financial officer salary was $196,641. So, if you want to earn a six-figure salary, start saving now, and think like an investor who makes money from other people’s money. How Do You Earn Six Figures? Here’s a snapshot of the careers and job descriptions that typically earn six-figure salaries. Most of them start out as analyst roles. Financial Analysts, Analyst/Investment Bankers, Finance Consulting Financial Analysts, Analyst/Investment Bankers, Finance Consulting Accountant/Auditors Accountant/Auditors Accountant/Auditors Banking/Investment Banker Banking/Investment Banker Contractor Competitors The competition for earning a six-figure salary in the finance industry is intense, and some jobs even require some sacrifice. To earn a six-figure salary, you’ll have to sell your work in a highly analytical manner. For example, a contract worker who earns a six-figure salary typically has a highly analytical job. In the finance world, a contract worker would typically have a thorough understanding of the finances of the corporation. He or she would analyze every aspect of the firm’s business to make accurate estimates. During this process, the contract worker would also analyze a company’s employees and think strategically about how to increase profits. For example, let’s say a client bought a $1-million account. A financial analyst would analyze the financial information, and determine if it’s profitable for the company to earn $1,000 per year from the"