RISK MANAGEMENT BUY CLICK FORECASTING RESPOND ACTIONABLE OPTIMIZE PREDICTIVE SCORE BUSINESS INTELLIGENCE TECHNOLOGY PREDICT FRAUD QUALITY LOSS PREVENTION BIG DATA D A T A MINING E X AMINE HISTORICAL DATA UPDATE 39 % Benchmark research sources: Predictive Analytics and Technology Innovation Research Sponsored By: www.ventanaresearch.com 49 % 83 % 70 % IT VALUE 35 % Predictive analytics is a relatively straightforward idea: It is the use of past data to evaluate the likelihood of future outcomes. Predictive analytics can support multiple lines of business and can improve effectiveness. Deploying Predictive Analytics for Competitive Advantage Predictive analytics is very important to organizations 68% of companies say that predictive analytics gives them competitive advantage and is important in revenue related functions such as forecasting (72%) and marketing (70%). Predictive analytics is increasingly an integral part of business analytics, which is ranked the most important of six major technology innovation categories with 39 percent of organizations ranking it #1. of organizations believe that predictive analytics capabilities are critical to satisfy the organization’s analytics needs. Predictive analytics require skill and data The right tools are required for predictive analytics Accessing data is a top obstacle for predictive analytics in 35% of organizations. Of organizations do not have necessary training for predictive analytics. Lack of training is preventing deployment where only 38% use them in customer service. Of organizations have experts that are responsible for success in predictive analytics. Find tools that can be used by broader groups of analysts and business users. The top buying criterion for predictive analytics is usability (70%). Look for tools with analytic workflow that can use any information source.

Deploying Predictive Analytics for Competitive Advantage

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Predictive analytics is a relatively straightforward idea: It is the use of past data to evaluate the likelihood of future outcomes. Predictive analytics can support multiple lines of business and can improve effectiveness.

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Page 1: Deploying Predictive Analytics for Competitive Advantage

RIS

AGEM

ENT

BUY

CLICK

FORECASTING

RES

POND

ACTI

ABLE

OPT

IMIZ

PRED

ICTIVE

SCOR

EBUSINESSINTELLIGENCETECHNOLOGY

PREDICTFRAUDQUALITY

LOSS

ENTION

BIG

DAT

DATA

MIN

ING

EXAMINE

HISTORICAL DATA UPDATE

39%

Benchmark research sources:Predictive Analytics and Technology Innovation Research

Sponsored By:

www.ventanaresearch.com

49%

83%

70%

VALU

35%

Predictive analytics is a relativelystraightforward idea: It is the use ofpast data to evaluate the likelihood offuture outcomes. Predictive analyticscan support multiple lines of business

and can improve effectiveness.

Deploying PredictiveAnalytics for

Competitive Advantage

Predictive analytics is veryimportant to organizations

68% of companies say thatpredictive analytics gives themcompetitive advantage and is importantin revenue related functions suchas forecasting (72%) andmarketing (70%).

Predictive analytics is increasingly anintegral part of business analytics,which is ranked the most important ofsix major technology innovationcategories with 39 percent oforganizations ranking it #1.

of organizations believe that predictive analytics capabilities are critical to satisfy the organization’s analytics needs.

Predictive analyticsrequire skill and data

The right tools are requiredfor predictive analytics

Accessing data is a top obstacle for predictive analyticsin 35% of organizations.

Of organizations do not have necessary training for predictive analytics. Lack of training is preventing deployment where only 38% use them in customer service.

Of organizations have experts that are responsible for success in predictive analytics. Find tools that can be used by broader groups of analysts and business users.

The top buying criterion forpredictive analytics is usability(70%). Look for tools withanalytic workflow that can useany information source.