sponsored by Sybase, an SAP company
Posted:  19 Dec 2011
Published:  16 Dec 2011
Format:  PDF
Length:  10  Page(s)
Type:  eGuide
Language:  English

Predictive analytics software can enable organizations to gain valuable business insights from pools of “big data” – large and complex data sets that often include various forms of unstructured information in addition to structured transaction data. But while the two are a natural combination, deploying and using predictive analytics tools in big-data environments can be complicated.

This e-book, intended for IT, business intelligence (BI) and analytics professionals as well as business executives involved in BI and analytics programs, offers expert advice on managing a predictive analytics program involving big data and the hurdles and pitfalls that can trip companies up.

Readers will get:

  • Tips from analytics professionals and consultants on key action items and issues to consider before launching a program combining predictive analytics and big data
  • A Q&A with Ventana Research analyst David Menninger on what the surge of big-data installations means for users of predictive analytics tools

Data Analytics | Data Quality | Predictive Analytics | Predictive Analytics Software | Structured Data | Unstructured Data

View All Resources sponsored by Sybase, an SAP company

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