Finance
AP News
IBM Analytics in Refineries Now: HMEL Case
HMEL has adopted a new IBM analytics product to transform the way it manages the financial and operations data in order to improve business performance. The new IBM solution integrates information within the refinery and deliv...
Analytics
Big data to save taxpayers money
The recent report by London-based Policy Exchange Think Tank , “The Big Data Opportunity: Making government faster, smarter and more personal,” has something to offer for UK government. The report has said that Government cuts ...
Analytics
New Small Business Credit Index
The Experian/Moody's Analytics Small Business Credit Index tracks how businesses are faring over a period of time compared with a base point, with the first quarter of 2011 being equal to 100. The key factors that comprise the ...
Analytics
Predict Stock Market Via Twitter: Sentiment Analysis
By implementing a prediction model called a Self-Organizing Fuzzy Neural Network (SOFFNN) similar to one already used to successfully forecast electrical load needs, the researchers were able to demonstrate that public mood had...
Analytics
Fraud Analytics: How it saved for Santam
Fraud is a big problem for many businesses and can be of various types. Inaccurate credit applications, fraudulent transactions (both offline and online), identity thefts and false insurance claims are some examples of this pro...
Analytics
Fraud Analytics in Telecom: SAVIOR of Bad Times
Global Telecommunications industry estimate the fraud to be one of the most acute and persistent problems.Estimates of yearly fraudulent losses run up to $10 million according to industry reports.
Analytics
Financial analytics: Do we need it Really?
Financial analytics is a process by which the various internal and external business finance information is leveraged to create intelligent reports. Financial analytics is increasingly finding popularity among companies that ar...
Analytics
Monte Carlo Simulation
Quantitative risk analysis plays an important part in the assessment of the risks and uncertainties surrounding a decision problem. Monte Carlo simulation is a very powerful and flexible way of performing such quantitative risk...
