Transcript
Page 1: Adaptive Apps: Reimagining the Future  - Forrester

Adaptive Apps: Reimagining The Future

Mike Gualtieri, Principal AnalystForrester

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Adaptive Apps: Reimagining The FutureMike Gualtieri, Principal AnalystSeptember 9, 2014

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© 2014 Forrester Research, Inc. Reproduction Prohibited 3

We have entered the age of the customer

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#Royalty

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Trend

Consumers want to be treated like royalty.

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Royalty experiences have contextual

awareness and adapt to serve a single consumer.

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Treat consumers like royalty to get their loyalty.

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How well do you know this consumer?› Male

› 35 years old

› Single

› Resides in New York City

› Makes $100,000 per year

What do you predict he would do if the bank accidently transferred $5,000 into his bank account?

A. Give the money back

B. Take the money and run

Quiz

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George Costanza

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#BigData

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Trend

Big Data means all your data++.

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30%

7%12%

21%

30%

9% 8%14%

35% 34%

Business Decision Makers Technology Decision Makers

Base: 452 North American technology decision-makersRespondents answering “don’t know” are not shownSource: Global Data and Analytics Survey, 2014

Base: 249 North American business decision-makersRespondents answering “don’t know” are not shownSource: Global Data and Analytics Survey, 2014

Most technology decision makers get it; 30% of business decision makers are confused.

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Big Data gushes from many sources…

• Data described by a schema

• Relational database, XML, delimited flat file, system events

Structured text

• Free-form text

• Email, documents, tweets, blog comments, Facebook status, genome

Unstructured text

• Audio, images, video

• Surveillance cameras, geological survey maps, Siri voice

Binary

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eCommerce

MR

P

Web analytics

eCommerce

Web

Mo

bile

Finance

Customer Service

CR

M

Cla

ims

BPM

Excel & Access

Dat

a

war

eho

use

Plan

nin

g

Em

ail

Customer Service

ERP

Marketing

So

cial

Med

ia

PO

S

Field Operations

VOC

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What percentage of enterprise data do firms use for analytics?

A. 12%

B. 34%

C. 53%

D. 76%

EnterpriseData

Quiz

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What percentage of enterprise data do firms use for analytics?

A. 12%

B. 34%

C. 53%

D. 76%

EnterpriseData

Quiz

Source: Forrester Research

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1100

1001

1011

001

0100

1001

1011

001

0100

1100

1101

101

0100

1001

1011

001

Historical

Transactions

Customer data

Ops

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Gather all your data to breakdown silos and prepare it for deeper analysis.

Data

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Now, analyze the heck out of it - every which way.

Process

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Predictive analytics and streaming analytics have momentum.

Non Modeled Data Exploration And Discovery

Advanced Visualization

Metadata Generated Analytics

Search/Interactive Discovery

Process Analytics

Embedded Analytics

Web Analytics

Reporting

10%13%

16%18%

21%21%

24%29%

33%37%

49%50%

56%58%

81%

15%21%

20%20%

27%32%

19%33%

42%35%

50%54%

59%57%

77%

20142012

“What is your firm's/business unit's current use of the following technologies?”

Base: : Forrsights BI/Big Data Survey, Q3 2012: 634 Business Intelligence users and planners

Reporting is the only

‘widely’ used BI technology

Base: : Forrsights BI/Big Data Survey, Q2 2014: 452 Tech decision makers

Advanced analytics is

growing strongly

+30%

+62%

+52%

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#Predictive

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Trend

Predictive models can predict customer attributes and behavior.

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DEFINITION

FORRESTERTechniques, tools, and technologies

that use data to find models – models that can anticipate outcomes with a significant probability of accuracy.

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Predictive models can be very powerful and profitable, but understand that:

› Predictive models are about probabilities, not absolutes

› Predictive models may not exist for every question

But, when they work they give you an “unfair” advantage.

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Predictive models can have a delightful, multiplicative effect on the bottom line

Direct Marketing – 1% response rate

Send marketing mail to 1,000,000 customers at cost of $2 per mailing to sell a $220 service.

$2 x 1,000,000 $2,000,000

1% response rate means 10,000 customer will buy service

$220 x 10,000 $2,200,000

Profit* $200,000

Predictive Direct Marketing – 3% response rate

Send marketing mail to 250,000 customers predicted most likely to buy at cost of $2 per mailing to sell a $220 service

$2 x 250,000 $500,000

3% response rate means 7,500 customer will buy service

$220 x 7,500 $1,650,000

Profit when using a predictive model* $1,150,000

Traditional

Predictive

* Profit calculation does not include other expenses

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Predictive analytics is very different from the traditional analytics approach

Traditional Analytics Data Science

• Choose a business outcome to improve

• Discuss and decide what data will be relevant

• Develop a data model

• Design reports and dashboards

• Choose business outcome to improve

• Assemble all possible data

• Run algorithms to find relevant data & predictive model

• Use the predictive model

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Big Data is the fuel of predictive analytics;

statistical and machine learning algorithms are

the engine.

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How can you provide a perfect , individualized product recommendation?

Recommend

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Turkey

How can you predict where customers will be on Thanksgiving.

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Repeat

Should you make an offer she can’t refuse or send a gentle nudge?

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Stop

What if you knew your customer was near your store on a sunny day?

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How can Spotify use accelerometer data generated by customers while they listen?

Activity

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How can you boost performance and retain your employees?

Performance

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#Streaming

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Data in motion is as valuable as data at rest.

Trend

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Apps are blind – use APIs to make them see.

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If you can measure it, then you can use it

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Streaming analytics can uniquely enable three new tiers of app functionality

Source: April 22, 2014, “Use Sensors To Take Apps To The Next Level Of Customer Engagement” Forrester report

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#Apps

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Adaptive apps anticipates a customer’s intent and adapts to serve them.

Trend

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Design principles for adaptive apps

› Learning who the customer really is

› Detect the customer’s intent in the moment

› Morph functionality and content to match intent

› Optimize for the device (or channel)

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Trip1

Easy. Buy a copper tube ice maker kit.

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Trip2

Buy a shut-off valve for the copper tubing.

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Trip3

Buy a T-connector to tap the cold water supply line.

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Trip4

Whoops. Also need to buy a hacksaw to cut the copper pipe.

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Trip5

Finally. A special drill bit to make a hole in the kitchen floor for the copper tubing.

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Adaptive apps can make your customers feel intensely loyal.

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You must infuse your app architecture with predictive components...

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…and expose them as APIs

Developer API API Team

Predictive Analytics

AppAdaptive App

Data Scientist

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#Opportunity?

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Perfect opportunity! Your competitors are busy with other priorities.

Source: “The State Of Retailing Online 2014” a Shop.org study conducted by Forrester Research

“What are your top three initiatives and priorities for your online (digital) business in 2014?”

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Customers are ready.

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#Imagination

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What kinds of apps could you develop if could

predict and adapt to what customers need in the

moment?

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Thank youMike Gualtieri

[email protected]


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