reimagine enterprise data governance · 2018-10-04 · 2 © informatica. proprietary and...

1 © Informatica. Proprietary and Confidential.

Reimagine Enterprise Data Governance

Salvatore Moretto Informatica

Simone NegriCapgemini

2 © Informatica. Proprietary and Confidential.2

Data 3.0 – Trending by 2020

Data in

the Cloud

Over 92% of data

center traffic

will come from

the Cloud

New

Users

325 million

business data

users and growing

Explosion in

Data Volume

15.3 zettabytes

per year

in global data

center traffic

New Data

Types

(mobile, social, IoT)

20 billion

connected devices

Machine

Learning/AI

1 billion workers

will be assisted

by machine

learning or AI


Why Data Governance across the Enterprise?

Digital Transformation requirements drive Intelligent Data Governance

Because data consumers RELY on data, they must also RELY on the organisational insights about that data

Regulation & Compliance

Next-Gen Analytics

Information Supply Chain Transformation

Customer Centricity

Data Democratisation






Next-Gen Analytics


Customer Centricity


The GDPR Journey to Date: What is important Now?

WHAT

May 2018, GDPR

Enhance protection of personal data

WHO

Worldwide impact

Any business that processes personal

data of EU data subjects

WHY

Penalties

Cost of non-compliance could be as high as 4% of global revenue

WHY

Reputation

Retain loyal customers who share accurate

personal data for mutual benefit


A popular path to GDPR execution

Define & Discover: Data Governance

Execute: Data Masking & Archiving

Define & Discover: Sensitive Data Stores & Risk

Execute: Consent Mastering & Enacting Rights

Popular input direction

Bu

sin

ess P

rocess C

han

ge

Understanding of Data Subject Expectations/Actions


Protecting Sensitive Data and Unwanted Breaches

Existing Challenges

• Do you know what

data you hold, who

has access to it, and

for what purpose?

• Do you know where

all in-scope data is?

• Lack of controls to identify

where and when sensitive

data has been shared

and/or integrated across

the enterprise

• Missing Metadata

Management culture

Root Causes How do we help?

Discovery:

• Enterprise view of risk based on sensitive data

• Data Proliferation Analysis

• User Analytics

• Remediation planning

Define and Describe:

• Collaborative definition of policies, processes,

terms, categories, etc.

• Designation of owners/stakeholders

• Link policies to implementation, enforcement

and monitoring systems


Protecting Sensitive Data and Unwanted Breaches

Existing Challenges

• Do you know how

and which data you

need to protect and

apply appropriate

controls?

• Do you know how

you will enact all the

subject rights?

• Data pulled from

production systems for

Dev & Test or copies of

sensitive data for one off

business purposes usually

lack proper obfuscation

and masking

• Missing centralized

management of Consent

information


Execute: Masking & Archiving

• Masking solutions for both Dev & Test and

production environments

• Enforce retention policies through Archiving

Execute: Consent Mastering

• Enterprise-wide 360° extended view of subjects

(including consent information).

• History and audit trail for subject data

accountability

• Centralized ability to recognize through consent

information how data consumers can process

subject data.






Next-Gen Analytics


Customer Centricity



Value for Data Scientists

Potential benefits of moving from 80% data prep to 20% data prep

Potential net increase of 11* more

Next-Gen Analytics projects per

annum

• Due to having more resource bandwidth &

availability

• Shift from 80% data prep/20% analytics, to

20% data prep/20% analytics

Incremental Benefit

• If each Next-Gen Analytics project yields

€100k of financial benefit, the value of extra

projects provides an additional €1.1m* of

benefit

* Informatica assumptions

11 © Informatica. Proprietary and Confidential.

Journey to modern big data integration & governance

Find & prepare data for analytics guided

by intelligent recommendations

Process your data,

ingest, transform,

cleanse, mask on

Hadoop without code

Discover & catalog all your enterprise data on-premise

Cloud, and BigData


Harness the Power of Big Data for Business Success

Existing Challenges

• No clear picture on

whether data

required by

business users is

available or not and

if it meets the

required data quality

standards

• Heavy reliance on IT

organizations to

procure data for

business users,

driving up costs

across the business

• Missing Data Catalog

culture, leading to a limited

understanding and

knowledge of enterprise

data assets.

• Lack of self-service data

provisioning and

collaboration capabilities in

existing applications


Discover & Catalog

• Gather, Organize, Explain and Access Metadata

at Enterprise Scale

• Automated Metadata Capture

• Semantic Enrichment

• Stewardship (Data lineage, data profiling,

Change & Impact, Relationships discovery)

Prepare & Industrialize

• Self-service/business user friendly Data Lake

Management solution that enables self-

navigation to required data without IT involved

• Industrialize & operationalize self-service data

flows

Thank you foryour time!

Salvatore Moretto

Simone Negri

25th September 2018

reimagine enterprise data governance · 2018-10-04 · 2 © informatica. proprietary and...

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