
A Case for Decision Intelligence: From "What Data Is Needed?" to "What Decisions Need to Be Made?"
Description
A Case for Decision Intelligence: From "What Data Is Needed?" to "What Decisions Need to Be Made?"
This IDC Perspective introduces and defines decision intelligence software. It presents evidence to reconsider past approaches to investments in data processing and provides guidance for assessing opportunities for decision augmentation and decision automation using decision intelligence software. "Our contention, at IDC, is that collectively, we have not seen sufficient ROI on past investments in data processing and data analysis technology, staff, and services. If you agree, we would like to introduce you to a new discipline and technology to address current decision-making shortcomings and help you prepare to embrace the growing decision complexity," says Dan Vesset, group VP of Data, Analytics, and Enterprise Intelligence Research at IDC. "This opportunity will require a change in investment priorities, a change in how information is synthesized, how insights are developed, and decisions are made at scale, how collective learning and knowledge capture and sharing is performed, and how data culture and data literacy are promoted. This opportunity is decision intelligence.
Please Note: Extended description available upon request.
Table of Contents
17 Pages
- Executive Snapshot
- Situation Overview
- What Is Decision Intelligence?
- What Is Decision Making?
- Decision Intelligence Software
- Representative Examples for Decision Intelligence Software
- How Decision Intelligence Differs from Business Intelligence and Artificial Intelligence
- Decision Attributes
- Decision Intelligence Roles and Responsibilities
- Benefits and Promises: Why Should You Care about Decision Intelligence?
- Advice for the Technology Buyer
- Appendix
- A Small Sample of Decision-Making Frameworks
- Academics Referenced as Part of Research for This IDC Study
- Learn More
- Related Research
- Synopsis
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