Download - DATA FORUM MICROPOLE 2015 - Forrester - Data Gouvernance Valuation

Data Valuation and Data

Governance for MicropoleHenry Peyret, Principal Analyst

December, 2015

© 2015 Forrester Research, Inc. Reproduction Prohibited 3

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Agenda

›Data Valuation and Governance Effectiveness

›Data Governance Applications to improve Value

and Effectiveness

›Recommendations


Data Valuation : Internal Data Usage

› Usual :

• For « efficiency » by Process mapping

› Non Usual :

• For money making by Revenue mapping

• For strategic support by Objectives mapping

• For non tangible benefit by

• For customers value by Values mapping


Data Valuation : External Data Usage

› Data Economy

• OpenData

• External Data Sources Management

• Selling Data to aggregators (Axciom and

others)

› API Economy

• Selling Data

• Selling Services using your data


Customer Journey

-2 days

-2 hours

Flight

+2 hours

+2 days

APIs from « mobile moments » …

Core processes

Reservation

Customer Loyalty

Flight System

Bagage Handling

Each « Mobile Moment » generates an API

• Book

Reservation

• Change

reservation

• Request

Upgrade

• Reserve Seat

• Check In

• Confirm departure time

• Request lounge acces

• Confirm gate location

• Get Duty Free

• Check arrival

time

• Order food

• Order

entertainment

• Set up Wi-Fi

?

• Arrange ground transportation

• Report and track lost luggage

• Confirm mileage points earned

?

• Fill out customer survey

• Book reward travel

• Verify upcoming reservations


APIs from « mobile moments » … to « IoTevents »

Customer Journey

-2 days

-2 hours

Flight

+2 hours

+2 days

Core processes

Reservation

Customer Loyalty

Flight System

Bagage Handling

IoT Public Hubs

Mobile Moments IoT events+Insights

• Book Reservation

• Change reservation

• Request Upgrade

• Reserve Seat

Plane

OnBoarding Luggage

Passenger Presence

• Check In

• Confirm departure time

• Request lounge acces

• Confirm gate location

• Get Duty Free

• Check arrival time

• Order food

• Order entertainment

• Set up Wi-Fi

• Arrange ground transportation

• Report and track lost luggage

• Confirm mileage points earned

• Fill out customer survey

• Book reward travel

• Verify upcoming reservations

Beacon

OnBoarding Passenger

Airport/Lou

ngePresence

Taxi


There is no data valuation without DG

› Data Governance is the corollaryto Data Valuation and vice versa

› But this is a different and evolvingDG :

• « Risks vs rewards »

• Caring about data usage… and not just

collection

• Managing policies within ecosystems


What about data governance (1.0) valuation?

› Quality : efficiency in processes

› Uniqueness : efficiency in processes

› Lifecycle : costs savings about storage

› Compliance : risk avoidance and regulation trust

› Security : risk avoidance and customertrust

› Privacy : customer trust

© 2014 Forrester Research, Inc. Reproduction Prohibited

Data Governance 2.0 Motto: Protect And Serve

February 2014 “Data Governance Archetypes Shape The Focus And Fate Of Your Business”


The changing nature of Data Governance Objectives

DG 1.0 objectives DG 2.0 Objectives

Quality 100% “Good enough” depending on

usage

Uniqueness Unicity Multi viewpoint

Lifecycle

(compliance)

Storage and availability at

best cost

From real time to historical at “no

cost”

Security Classification Zero trust

Metadata Preliminar

Access and storage

After

Build automation, management

and context => machine learning

Privacy Like security Offer transparency for

“customers”

Graphical

representation

-------- Learning interpretation of large

volume, 3D “navigation”

Algorithms -------- Applicability

Integration -------- Nature of integration influence

the data usage (real time, data

context)


Agenda

›Data Governance Effectiveness Issues

›Data Governance Applications to improve

Value and Effectiveness

›Recommendations


Semantic and/or Machine Learning Examples

› IBM Watson

› Semantic in Data Preparation : Trifacta, Paxata, Liaison Technology Contivo, Alation, Informatica Live Data Map, Dell Boomi

› Big Data ingestion : Tamr

› MDM : Pitney Bowes Spectrum (Graph DB), NexJ (Graph Database)

› Semantic in analytics : Alteryx, Datameer,


But Machine Learning Does Not Replace Data Governance

› Govern your marchine learning : whatare the mechanisms to trust the machine

• What is the right set of documents?

• Have the results been reviewed by experts?

• Is the machine providing enough evidence and

transparency to justify the results?


DG Stewardship Application completesthe DG landscape


DG SA Vendors are forming an emerging market

› BackOffice Associates

› Collibra

› Diaku

› Datum

› Global Data Excellence

› IBM


Recommendations : DG is a journey

1. Road map your data quality and governance strategies by

business outcomes.

2. Plan for machine learning, semantic maps to replace traditional

DG tools but not replacing the need for DG

• Data variety and explosion of data engagement will outpace

manual development and stewardship of data

3. Consider DG Stewardship Applications to improve effectiveness

using Data Valuation

Thank you

forrester.com

Henry Peyret

+33 684829551

[email protected]

@hpeyret

mailto:[email protected]

Download - DATA FORUM MICROPOLE 2015 - Forrester - Data Gouvernance Valuation

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