Making profitable business decisions faster and with greater agility is both a challenge and a goal for most organizations. But many companies still rely on manual decision-making processes that often prohibit consistency and efficiency. In some cases, they are completely unaware of valuable opportunities for cost-cutting or driving revenue. And it's not because they don't have the right data -- it's because they don't know how to leverage and maximize it.
Over the last several years, more sophisticated business intelligence technology has helped companies improve their data analysis and reporting capabilities. It has also extended data analysis responsibilities to more end-users within the organization (we've all heard the phrase 'BI for the casual user'). These are remarkable achievements. But forward-thinking companies will need to move from just managing data properly to capitalizing on it. A number of new trends and best practices can help companies learn more from their data so they can make better business decisions,automatically. This webcast will explain how.
Attendees of this webcast will get answers to questions like:
- What is "decision management technology" and who are some of the most noteworthy vendors?
- What kinds of decisions/processes should not be automated?
- What are rule-based systems and why are they advantageous?
- What are the main differences between decision support systems (DSS), business intelligence (BI), enterprise decision management (EDM) and business performance management (BPM)?
- How are the above practices/technologies measured?
CRM Research Library
