While Information is now recognised as the power for running the show, the insights that are brought about from it are ruling supreme! And that is where BI Analytics steps in. In digital world, Analytics is the interpretation of company’s bottom line. ‘Do the math’ is the order.
Risk. One of the most talked about words in the recent times! In fact, Google Trends shows that the ‘News Reference Volume’ for the terms ‘Risk Management’ and ‘Enterprise Risk Management’ increased manifold since the start of the year 2008. Though Risk is something not desired by any one! The economic turmoil started in that year may be a major reason for this surge. And now, not knowing about Risk Management, both at personal level and at enterprise level, is ‘big risk’!!So this topic, Risk Management is more relevant now more than ever.
Let us see data analysis with an example. World population is a raw data. World Internet user statistics is a raw data. Both are taken in to the table. Now both data are gone through with some thinking on finding out the usability of these data and arriving at some conclusions. Based on the conclusion decisions can be taken. World Internet penetration rates are presented as an analyzed result. Raw data can be available in a variety of forms.
You might have heard this in various forums; or from technology consultants; the use of predictive analytics can effectively change marketing plan, make it more effective, bring more customers and revenue, more profit and increased bottom line. And the moment the benefits are mentioned, everyone is interested; is it not? Well here in this blog post on predictive analytics, let us try to get a better picture of predictive analytics. Better picture of what is it, what it will do, and how you can handle it for your marketing, sales, company direction and related other activities.
We have been hearing of the term predictive analysis for a long time, but what exactly is it? Well to start with predictive analysis is a type of data mining which deals with forecasting of trends and probabilities. In short it is a form of statistical data that is used in predicting behavioral patterns. The fundamentals of predictive analysis are to correlate both the variables from the past data and the explanatory (current) data and forecast a trend or pattern.