The explosion in computing and data processing power has led to an exponential increase in data available to business. Paradoxically, this has led to business leaders becoming more uncertain about what to do with this data. Hence, business is scrambling to put the appropriate “analytics” capability in place. This generates a lot of friction and tension because business leaders and managers, who have been brought up in a very different world, have to scramble to learn new languages and redress their relationship with data.

This article explores the attributes of Big Data and considers whether having more data is always good. First, let's get back to the basics. What is Big Data? Put simply, big data refers to a vast variety of data with which an organisation can engage. The aim is to use big data to improve business performance. This is applicable to profit and non-profit organizations, financial and operational measures.

4-5 years ago in Microsoft, Cloud business was a small portion of the overall business, but now is the key business for the company, with new and diverse purchase options like subscription model on office 365, pay as you go model on Azure cloud platform... boosting and creating an avalanche of data every day.

According to a 2017 IBM report, "Every day, we create 2.5 quintillion bytes of data. To put that into perspective, 90 percent of the data in the world today has been created in the last two years alone." Those are some pretty staggering figures and businesses see the volume of their internally generated data growing all the time.

When FP&A is placed within this bigger picture, the link to strategic planning becomes evident. By translating the strategic intent of the company into business drivers made visible through the ‘use-of-funds’, the execution of the strategy becomes fact-based, transparent and verifiable: ‘talks & figures’. Just think about it, and add real value to your role and your company. 

The Financial Planning & Analysis (FP&A) function has become more prominent in the decision making process in most large organizations because of the emergence of BIG DATA (large volumes of unstructured and structured data). Today, most companies have access to vast amounts of data (financial and operational) and must figure out how to use it to drive growth and profitability.