Results for Data Analytics:
Charles E. and Susan T. Harris Professor
Department: Professor of Finance
Contact: (617) 253-0920, firstname.lastname@example.org
Expertise: Analysts forecasts; Angel investing; Applied economics; Applied math; Applied probability; Arbitrage pricing theory; Artificial intelligence; Asset management and pricing; Banking; Banking management; Banking operations and policy; Banking regulation; Bankruptcy; Bayesian networks; Bayesian statistics; Bond markets; Bond negotiations; Bond pricing; Business education; Business intelligence; Business plans; Capital budgeting; Capital controls; Capital market; CEO compensation; Chat rooms, investment; Consumer behavior; Contagion; Corporate finance; Corporate governance; Corporate strategy and policy; Currency; Data acquisition; Data mining; Decision making, decision support; Deflation; Derivatives; Disaster recovery; Distance learning; Diversification, corporate; Dividend policy; Dot-com; E-commerce; Econometrics; Economic crisis; Economics; Economy, current conditions; Education; Emerging businesses; Entrepreneurial finance; Entrepreneurial management; Entrepreneurship / New ventures; Equities; Euro; Exchange rates; Executive compensation; Executive education; Federal Reserve; Financial econometrics; Financial engineering; Financial information technology; Financial markets; Financial reporting; Financial services; Financial statement analysis; Foreign investment; Futures; Government; Hedge funds; Hurdle rates; Inflation; Information technology; Information technology, artificial intelligence; Intellectual property; Intellectual property law; Interest rates; International finance; Intertemporal choice; Investment analysis; Investment banking; Investment risk; Investment strategies; Knowledge sharing; Law; Macroeconomics; Market, categorical structures in; Mathematical programming; MBA; Mergers and acquisitions; Mortgage funds; Mutual funds; Neural networks; New stock markets; New ventures; Non-linear dynamics; Online banking; Online feedback mechanisms; Operations research; Optimal control; Optimization; Options; Patents; Pensions; Personal finance; Portfolio choice; Portfolio design and management; Private equity; Probability, applied; Research and development; Research, academic; Retirement planning; Revenue management; Risk capital; Risk management; Sampling; Securities and Exchange Commission; Security prices; Simulation; Software agents; Startups; Statistics; Stochastic modeling; Stock exchange; Stock exchange consolidation; Stock market; Stock options; Stock trading; Sub-prime lending; Technology; Trading decisions; Treasuries; Valuation; Venture capital; Wall Street; Web-based marketing
Compared to five years ago, the amount of data we now generate is huge. Some companies collect that data, but more often than not they don’t do anything with it. Business analytics is an important tool to help organizations harness the power of that data. By unlocking its value, you can do things like improve profits, predict consumer behavior, better understand markets, and make more informed decisions. Most importantly, it can give you a competitive edge. For those of us in the field of operations research, data analytics is a huge and exciting area. It’s a critical tool for businesses moving forward. As a result, we’re offering MIT Sloan’s popular Analytics Edge course on the MITx online, interactive learning platform this spring. We want to share the cutting-edge knowledge generated at MIT on this important topic with people around the world. The MITx course, which is offered for free or … Read More »The post Unlocking the value of data – Allison O’Hair appeared first on MIT Sloan Experts.