This is a review of a chapter from ""Competing on Analytics"-
Signposts of Effective IT for Analytical Competition:
  • Analysts have direct, nearly instantaneous access to data
  • Information workers spend their time analyzing data and understanding its implications rather than collecting and formatting data
  • Managers focus on improving processes and business performance, not culling data from laptops, reports and transaction systems
  • Data is managed from an enterprise wide perspective throughout its life cycle, from its initial creation to archiving or destruction
  • A hypothesis can be quickly analyzed and tested without a lot of manual behind the scenes preparation beforehand
  • Managers never argue over whose numbers are accurate
  • Both the supply and demand sides of the business rely on forecasts that are aligned and have been developed using a consistent set of data
  • High volume, mission critical decision making proceses are highly automated and integrated
  • Data is routinely and automatically shared between the customers and suppliers
  • Reports and analyses seamlessly integrate and synthesize information from may sources
  • Rather than have data warehouse or business intelligence initiatives, companies manage data as a strategic coporate resource in all initiatives

How can we make data more valuable?
  1. It is correct
  2. It is complete
  3. It is current
  4. It is consistent
  5. It is in context
  6. It is controlled


 


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