Читать книгу Decision Intelligence For Dummies - Pamela Baker - Страница 35

IN THIS CHAPTER

Distinguishing between data driven targeting and decision targeting

Dealing with the fact that data may give you answers but still no one knows what to do

Reimagining actionable outcomes

Data driven decisioning is evolving beyond mere data discovery to results-based decision targeting. This newest step on the data science evolutionary chain is known as decision intelligence (DI), a discipline that combines data science, social science, and managerial science into a singularly focused approach to making the best decision possible in any given circumstance.

In this chapter, you find out why targeting an outcome at the outset trumps the traditional model of mining the data first. The result becomes the prime directive in this 180-degree turn in the definition and execution of the oft-sought actionable outcome.

In other words, the focus shifting from discovering information within established data sets to deciding what you most need to know and then actively searching for that knowledge wherever it may reside.

In short, data takes a supporting role rather than a starring role in decision intelligence. The human mind also moves from a role as data/analytics organizer to that of a high-value player in search of the best decision possible. And, last but not least, artificial intelligence (AI) becomes a helpful assistant rather than a dreaded human overlord or job slayer.

In this chapter, you see why this rethinking on how to use data spawned a rising transformative and disruptive force in business as well as in people’s daily lives. You also see why you should be quick to wield this force in any job role you may decide to take on over the course of your career.