operationalize predictive analytics

Operationalize Advanced Analytics

Mike Gualtieri, Principal Analyst

March 15, 2015 Webinar

Twitter: @mgualtieri

#Priority

Planning, implementing, or expanding the use ofadvanced analytics.

85%

Base: 984 Technology Decision-MakersSource: Forrester’s Business Technographics Global Data And Analytics Survey, 2015

Francis Bacon (1561–1626)

Founder of the modern scientific method to establish causation

between phenomenon.

“Knowledge is power.”

#Analytics

© 2015 Forrester Research, Inc. Reproduction Prohibited 6

Learn Model Detect Adapt

Only the analytical enterprise can compete and win in the age of the customer

Predictive Analytics

Streaming Analytics

Descriptive Analytics

Prescriptive Analytics

(Advanced Analytics)


Source: Forrester Research

Advanced analytics has enterprise momentum“What is your firm's/business unit's current use of the following technologies?”

Source: Forrester's Global Business Technographics Data And Analytics Survey, 2015 and 2014Base: 1805 (2015), 1063 (2014)

Non modeled data exploration and discoverySearch/interactive discovery

Streaming analyticsMetadata generated analytics

OLAPAdvanced visualization

Text analyticsLocation analytics

Predictive analyticsProcess analytics

Embedded analyticsWeb analytics

DashboardsPerformance analytics

Reporting

19%19%

24%31%

34%22%22%

35%31%

43%53%

54%50%50%

69%

39%42%42%

42%42%

43%43%

46%48%

52%54%

55%56%

57%

69%

2015

2014

#Applications

Enterprises have access to plenty of data…

…but, applications are not smart without a brain.

What are movers and shakers saying about equities that we cover right?

How can you know if your baby is sleeping soundly or if something is wrong right?

What offers should you make to your customer if they are within proximity of store?

Data scientists use a combination of statistical

and machine learning algorithms to find

patterns and predictive models.


They have an amazing set of valuable skills…


Data scientists struggle to make insights actionable

Insights for lines of business:

Source: October 16, 2014, “The Customer-Activated Enterprise” Forrester report


Enterprise-wide model deployment and monitoring can be a bear›Models must be translated to code that will run within a target application.

›Models call via services introduce latency

›PMML can limit the methods and algorithms use to build the model

›Models don’t usually include or deploy with monitoring code

#Streamline

Models must scale to handle high-volume applications and streaming data.

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Models must access all of the data they need at the time of scoring.

Work seamlessly within complex, heterogenous enterprise environments.

Easily embed models in IoT, mobile, web, and enterprise applications.

“An investment in knowledge

always pays the best interest.”

- Benjamin Franklin


Learn Model Detect Adapt

Operationalize models faster to make models actionable.

Predictive Analytics

Streaming Analytics

Descriptive Analytics

(Real-time)Prescriptive

Analytics

(Continuous Batch)

Invest here Invest here Invest here

forrester.com

Thank you

Mike [email protected]: @mgualtieri

mailto:[email protected]

©2016 RapidMiner, Inc. All rights reserved. - 28 -

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Level and Cost Of AutomationLow High

Report ApplicationsDatabase, Biz System write backScored/Calculated Data Export

Data Viz/BI bi-directional integrationBiz system updates based on data changesRescoring based on database entriesWeb application interaction

At POS recommendationsFraud Detection

Algorithmic Trading Requires High Speed CEP


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Java SE/EE ApplicationServer Application


RapidMiner Server

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Operationalization using Web Service/API

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Use Recent Data

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THANK YOU!

QUESTIONS & ANSWERS