microsoft business intelligence software strategy

If up until now, the main aim of BI has been to process and analyze historical data, now the focus is on prediction. On the other hand, it’s easy to imagine that BI will be an essential part of optimizing business processes in a few years’ time. Today, industrial data processing is still in its infancy. Industries 4.0 will generate more and more industrial data, and there is no doubt that those who can extract value from this data will stand out from their competitors. Thanks to the various technological and analytical advances of recent years, Business Intelligence is perfectly suited to meet the requirements of 4.0.

While the principle has not really changed since then, BI has been able to take advantage of various technological advances to improve over time. The concept was simple: rely on historical data, not instinct, to develop his organization’s strategy. Richard Millar Devens is credited with the first use of the term “Business Intelligence” when, in 1865, he described how Sir Henry Furnese, a banker, was getting ahead of his competitors by collecting data to better support his business decisions.

The term “Business Intelligence” encompasses technologies, processes and tools designed to extract exploitable knowledge from raw data to support better decision-making in companies. This is where the interest of Business Intelligence lies. The transformation of enterprise data into knowledge is becoming a major challenge to ensure its growth. This is especially true for every decision-maker in an organization.

Microsoft business intelligence software strategy