As disk storage costs continue to fall, firms are storing more and more data. Executives are now younger than the traditional executives that "started in the mail room" and so are increasingly tertiary qualified and can better see the need to make business decisions based on solid data analysis. Company's data warehouses are either maturing or are finally being developed from scratch. 

As companies compete in an ever increasing globalized world, extracting analytics from data to gain a competitive edge has never been as important. Yet not enough Business or IT people are studying mathematics or statistics. The material below highlights why firms should increase their use of data analytics. Call Mathemetrica and we would be more than happy to show you how we can unleash the power of analytics on your data to make you money, save you money and add value back into society.

The Growing Need For Predictive Analytics

The value of analytics is to ensure that the actions one takes today will directly achieve the organization’s goals tomorrow. Simply put, that’s the way a Predictive Analytics Enterprise operates—and that’s what gives it a competitive advantage in the marketplace. Increasingly, organizations in virtually every industry around the globe are realizing the benefits of using data to align their current actions with their future objectives. By incorporating predictive analytics into their daily operations, these organizations have gained control over the decisions they make every day, so that they can successfully meet their business goals.

How are firms achieving this?

• They’re using Advanced Analytics to analyse their data, combining information on past circumstances, present events, and projected future actions.

• They’re capitalizing on a combination of attitudinal and behavioural information, and on both structured and unstructured data, to ensure that they have a complete view of their customers, employees, patients, students, or citizens.

• Then they’re using the insight that they gain from this analysis to direct, optimize, and automate their Decision Making. Essentially, they’re becoming Predictive Enterprises.

The result is successful achievement of specific organizational goals, whether they are associated with an increase in cross-sell revenue generation, a decrease in marketing costs, a reduction in fraudulent behavior, or an increase in promotional campaign response rates. The diagram below shows the hierarchy of organization's analytics maturity, showing that no matter where your company is in its data quality and processing, Mathemetrica has numerous ways to add value to your firm.