Conventional "best practice" consulting approaches) to predictive analytics demonstrate one or more of the following limitations:

• The data collected is incomplete or inadequate. The datamart:
  • Lacks important predictors especially
    • Critical behavioral predictors from behavioral tracking (new generation phone app capture)
    • Attitudes that drive behaviors
  • Needs desperately to be cleaned!
• The datamart itself (whether in the cloud or not...)
  • Is legacy (but has important information within it.)
  • The solution is NOT to rebuild it...though your consultant salivates at that idea!
• The modeling effort:
  • Is from the last century.  On average the typical DB analyst only builds a dozen models per week.
  • Doesn't build a solution space of all possible models and data transforms.
  • Doesn't  have hundreds of algorithms to choose from.
  • Doesn't  have dozens of validation tools to choose from.
  • Doesn't  automatically produce a model "assembly line."
  • Doesn't  build and test millions of models per week.
• The modeling hardware:
  • Doesn't operate at the lowest computational cost (dollars per model run.)
  • Doesn't securely harness idle computational cycles in hundreds of computers on your corporate network to form a virtual supercomputer.
• The consulting firm :
  • Imagines that they are your equity partner - and charges you that way.
  • Gives you the fish (the answer)...but not the pole (the Ultra-High Performance Data Mining System.)

What if you could leap-frog the limitations listed above by:

• Upgrading your datamart INNOVATIVELY and INEXPENSIVELY by backfilling missing predictors such as:
  • Critical behavioral predictors from (new generation phone app capture)
  • Attitudes that drive behaviors (via AIM: Attitudinal Imputation Modeling.)
  • NOT Rebuilding it, but by building a LOW COST, PARALLEL MODELING MART (Via  inexpensive RAPID EXTRACTOR middleware.)
• Using a New Generation Big Data Modeling Platform ( BigDataSolve ). BigDataSolve:
  • Builds a solution space of all possible models and data transforms.
  • Has a library of hundreds of algorithms and sub-algorithms to choose from.
  • Has a library of dozens of validation tools to choose from.
  • Creates a solution space of hundreds of millions of models.
  • Automatically builds and tests millions of models (via a model "assembly line".)
  • Securely creates a virtual supercomputer (by harnessing idle computational cycles on your corporate network.)

And... What if the consulting firm who provides this capability:

• • Charges one-third the cost of standard, low-performance consulting?
  • Delvers not just the "fish" (the answer) but also the fishing pole (the Ultra-High Performance Data Mining System)  when the project is over?

Decision Support-Enabled Predictive Analytics achieves all these outcomes and more.  The result? Far higher predictive lifts....at a far lower cost.  Delivered you way.  That's enablement.