Chapter 9

Asset Management

The goal of a business analytics team is to create value. Getting there involves creating a variety of intermediary assets including processes, reports, and potentially advanced analytics models. Like any other asset, these need attention if they’re to be curated and used effectively.

Most organizations take a fairly lackadaisical approach to asset management. Most struggle with:

  • Making the transition from often ad-hoc activities into an asset-based approach
  • Understanding the value of their assets
  • Identifying how to get the most out of their assets
  • Linking the effort they expend to the value they create

The solutions described in the next section focus on techniques and approaches to overcome these challenges.

MOVING TO OPERATIONAL ANALYTICS

CASE STUDY: WHY READ THIS?
When will this help?
Read this if most of your insight is never acted on.
How will it help you?
Using this approach will drive direct value from business analytics.
What are the guiding principles?
  • Drive outcomes, not insight
  • Start flexible, become structured
  • Eliminate bottlenecks
  • Always have a plan B
  • Function should dictate form
  • Watch the dynamic, not just the static
What else should you read?
  • Augmenting operational systems
  • Coping with information overload
  • Scaling past the PC
  • Smoothing growth with the cloud
  • Reducing time to recommendation
  • Enabling real-time scoring
  • Blending rules with models

The Background: The Best Answers Are Worthless if They’re Not Timely and Actioned

Organizations ...

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