BigDataSolve™

BIGDATASOLVETM VIDEO OVERVIEW (1.75 Minutes)

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VIDEO

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CONSULTING

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QUICK SUMMARY

Ultra-High Performance Data Mining (UHP-DM)™ takes  predictive analytics to a new level.  And BigDataSolve™ is the core enabling technology that undergirds it.  BigDataSolveTM takes on the two key limitations that prevent other data mining software engines from yielding ultra high performance results:

  • THE DATA COMPLEXITY/CLEANING PROBLEMModern datamarts have thousands of potential predictors.  How can we find the handful of relevant predictors (usually less than 20) that typically contribute to an optimal predictive model?
  • THE NEEDLE IN THE HAYSTACK PROBLEM: Finding the optimal solution requires finding the optimum 1) algorithm 2) model form 3) sub-algorithm 4) iteration / convergence criteria 5) etc. etc. etc.

 

Net-net?

BigDataSolve™ is Predictive Analytics done better, smarter AND cheaper.

SHOW ME! (Slide show)  (Click on the first icon below to start the slide show.)

KEY BENEFITS (Place your pointer over the benefits to see the short description.)

BigDataSolve™:

KEY SOFTWARE FEATURES (Click on the plus signs below to expand.)

KEY PREDICTIVE ANALYTICS

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WHAT'S UNDER THE HOOD? (Enabling Technologies Video)

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PRICING and PURCHASE (Roll over to see pricing)

BigDataSolveTM v. 10.0 Plus Two-Day Training**

* = Quoted software pricing is for a single-seat license.  For volume or site license  pricing click here.

** = For on-site training add prevailing travel and expenses (typically $750.00) per diem.) All fees must be paid in advance to schedule travel.

FREE BigDataSolve™ DOWNLOAD AND 15 DAY TRIAL

The vertical consulting version of BigDataSolveTM (Version 9.0) is currently being converted to Version 10.0, which will be capable of being installed on any Windows laptop, desktop or server. BigDataSolveTM 10.0 (seen in action in the videos above) will be available for download in the fourth quarter of 2016.

BigDataSolve™ USER MANUAL REVIEW AND DOWNLOAD (PDF)

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Download the BigDataSolve™ User Manual   (1MB PDF)