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Predictive Analytics
for Business Advantage
Today, predictive analytics is used mostly in marketing (64%) and sales (54%) for help
in retention, cross-sell/upsell, and direct marketing efforts (source: Figure 3).
But change is coming…
TDWI INFOGRAPHIC
In the near future, respondents believe
that business analysts will be the primary
users, along with statisticians:
Currently, statisticians and business
analysts are the primary builders of
predictive models:
Statisticians Business Analysts
86%79%
Statisticians Business Analysts
63%76%
Source: Figures 8, 10
The user is changingNew use cases are on the horizon over
the next three years, including:
Source: Figure 2
72%
Big data is also driving change
Source: page 22
Most of those who use or are investigating
predictive analytics have a big data effort
under way in some form:
77%
69%
52%
Optimization
Risk
Quality
assurance
New data types will be used
Source: Figure 4
Organizations plan to include more than
just structured data in their predictive
analyses in the next three years:
71%
Real-time
72%
Geospatial
76%
Text
© 2014 by TDWI (The Data Warehousing InstituteTM
), a division of 1105 Media, Inc. All rights reserved.
Reproductions in whole or in part are prohibited except by written permission. E-mail requests or feedback to info@tdwi.org.
Product and company names mentioned herein may be trademarks and/or registered trademarks of their respective companies.
Presented by
TDWI is the premier
provider of in-depth,
high-quality education
and research in the
business intelligence
and data warehousing
industry.
tdwi.org
Sponsored by
SAP’s market-leading
combination of real-time
business intelligence (BI)
and predictive analytics
make it easy for you to
extract forward-looking
insights from big data,
harness the power of R,
and create stunning data
visualizations with ease.
Click here to learn more.
TDWI’s Best
Practices Report
Predictive Analytics
for Business
Advantage
data from
Download PDF

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TDWI Infographic: Predictive Analytics for Business Advantage

  • 1. Predictive Analytics for Business Advantage Today, predictive analytics is used mostly in marketing (64%) and sales (54%) for help in retention, cross-sell/upsell, and direct marketing efforts (source: Figure 3). But change is coming… TDWI INFOGRAPHIC In the near future, respondents believe that business analysts will be the primary users, along with statisticians: Currently, statisticians and business analysts are the primary builders of predictive models: Statisticians Business Analysts 86%79% Statisticians Business Analysts 63%76% Source: Figures 8, 10 The user is changingNew use cases are on the horizon over the next three years, including: Source: Figure 2 72% Big data is also driving change Source: page 22 Most of those who use or are investigating predictive analytics have a big data effort under way in some form: 77% 69% 52% Optimization Risk Quality assurance New data types will be used Source: Figure 4 Organizations plan to include more than just structured data in their predictive analyses in the next three years: 71% Real-time 72% Geospatial 76% Text © 2014 by TDWI (The Data Warehousing InstituteTM ), a division of 1105 Media, Inc. All rights reserved. Reproductions in whole or in part are prohibited except by written permission. E-mail requests or feedback to info@tdwi.org. Product and company names mentioned herein may be trademarks and/or registered trademarks of their respective companies. Presented by TDWI is the premier provider of in-depth, high-quality education and research in the business intelligence and data warehousing industry. tdwi.org Sponsored by SAP’s market-leading combination of real-time business intelligence (BI) and predictive analytics make it easy for you to extract forward-looking insights from big data, harness the power of R, and create stunning data visualizations with ease. Click here to learn more. TDWI’s Best Practices Report Predictive Analytics for Business Advantage data from Download PDF