Getting Started with Data Governance? Use Process Models!

© 2016 IDERA, Inc. All rights reserved.
Proprietary and confidential.
© 2017 IDERA, Inc. All rights reserved.
Proprietary and confidential.
GETTING STARTED WITH DATA
GOVERNANCE?
Use Process Models
Kim Brushaber, IDERA, Senior Product Manager

2© 2017 IDERA, Inc. All rights reserved. Proprietary and confidential.
WHAT IS DATA GOVERNANCE
 The official definition

“
Data Governance is a system of decision rights and
accountabilities for information-related processes, executed
according to agreed-upon models which describe who can
take what actions with what information, and when, under
what circumstances, using what methods.
– Data Governance Institue

“
Over 90% of all the data in the world was created in the
past 2 years.
- IBM

“
Around 100 hours of video are uploaded to YouTube
every minute and it would take you around 15 years
to watch every video uploaded by users in one day
- YouTube

WHY IS DATA GOVERNANCE IMPORTANT
 Things you should be thinking about

7© 2016 IDERA, Inc. All rights reserved. Proprietary and confidential. 7© 2017 IDERA, Inc. All rights reserved. Proprietary and confidential.
REGULATORY STANDARDS INFLUENCING DATA GOVERNANCE
Data Governance is essential for companies working in highly regulated
industries
 Sarbanes-Oxley (Accounting and Finance)
 Basel I, II and III (Banking)
 HIPAA (Healthcare)
 GDPR (Data Protection)

5 TYPES OF DATA
 BIG DATA – Predictive Analytics
 FAST DATA – Information that can be quickly analyzed (e.g. coupon upon
checkout)
 DARK DATA – Information that you can’t easily access (e.g. Videos)
 LOST DATA – Information that is collected but never reviewed
 NEW DATA – Information that you could have but aren’t harvesting
* Discussed in the Forbes Article from March 2016 - https://www.forbes.com/sites/michaelkanellos/2016/03/11/the-five-different-types-of-big-data

COMPANY DATASETS TO CONSIDER
 Marketing Analytics/Demographics
 Product Information
 Regulated Information
 Operational Data
 Financial Data
 HR Data
 Legal Data

BENEFITS OF DATA GOVERNANCE
 Increasing consistency and confidence in making data decision
 Decreasing the risk of regulatory fines
 Improving data security
 Maximizing the revenue generation potential of data
 Designating accountability for information quality
 Enabling better data planning
 Reducing data redundancy

POOR DATA GOVERNANCE CAN RESULT IN:
 Lawsuits
 Regulatory Fines
 Security Breaches
 Data Regulated risks that can be expensive and damaging to a
company’s reputation
 Legal Discovery – allowing too much information to be handed over

CHALLENGES WHEN DATA IS NOT UNDERSTOOD
 Data is thrown into a data lake waiting to be used one day
 Data is thrown out and discovered what is needed later
 If you don’t have Data Governance, increasing the scope and
scale of data just breeds confusion

WHY IS THERE SO MUCH ANGST?
 Outside regulations don’t provide guidance on how to handle the
data, leaving companies to figure it out for themselves
 Most companies compensate by archiving all of their data on central
file servers without understanding what they have or need (leaving
themselves open to greater risk)
 Companies tend to ignore data points that live outside their firewalls
 In most organizations, data quality is siloed and poor to begin with
 Data become fragmented, inconsistent and redundant

“
Google alone processes on average over 40 thousand search
queries per second, making it almost 4 billion in a single day
- InternetLiveStats.com

“
The number of Bits of information stored in the
digital universe is thought to have exceeded the
number of stars in the physical universe in 2007.
- Computerworld

PILLARS OF DATA GOVERNANCE
 The foundation of a good Data Governance Program

DATA GOVERNANCE PILLARS
Data Governance
DataQuality
DataDefinitions
DataAccess
Data ArchitectureDataLineage
DataModeling

 Data Quality
 Data Definitions
 Data Lineage
 Data Modeling
 Data Access

DATA QUALITY QUESTIONS
 How can you improve and maintain the quality of your data?
 How do you measure the quality of your data?
 What is the current condition of your data?
 How trustworthy is your data?
 How accurate does your data need to be?
 How well does the data align with your corporate and regulatory
policies?
 How do you identify issues with your data?
 How do you fix your data once you determine it is broken?
 How do we develop strong data quality parameters that are
consistent and repeatable?

 Data Quality
 Data Lineage
 Data Modeling
 Data Access

DATA DEFINITION QUESTIONS
 How do you define your data?
 How is your data mapped?
 What does your data mean?
 Do you have consistent definitions across your organization?
 Are you in alignment with terms and lexicons?
 How do you find the right elements to interact with?

 Data Quality
 Data Lineage
 Data Modeling
 Data Access

DATA LINEAGE QUESTIONS
 What happens to your data over time?
 How is your data used?
 What can the data be used for?
 Where can the data be used?
 What does the data produce?
 What does the data consume?
 What rules does it follow?
 What associations are there?

 Data Quality
 Data Lineage
 Data Modeling
 Data Access

DATA MODELING QUESTIONS
 What does your data look like?
 What controls and audits are put in place to ensure compliance?
 What meta data needs to be captured?
 Are there places you can reduce redundancy?
 Is your data consistent?

 Data Quality
 Data Lineage
 Data Modeling
 Data Access

DATA ACCESS QUESTIONS
 Who can access your data?
 How is your data protected?
 How is your data stored?
 How is your data managed?
 Who can influence your data?

“
If you burned all of the data created in just one
day onto DVDs you could stack them on top of
each other and reach the moon – twice.
- Computerworld

“
This year, there will be over 1.2 billion smart phones
in the world (which are stuffed full of sensors and
data collection features) and the growth is predicted
to continue.
- ZDNet

HOW PROCESS MODELS CAN HELP
 Visualizing what is happening with your data

IDERA ER/STUDIO BUSINESS ARCHITECT ELEMENTS

PROCESS MODELS FOR
 Who Can Access Which Data?
 Who Can Make Decisions?
 Who Is Accountable for Which Information?
 Who Can Act On The Data?
 When Can They Take These Actions?
 Which Info Can You Use?

WHO CAN ACCESS WHICH DATA?

PROCESS MODELS FOR

WHO CAN MAKE DECISIONS

PROCESS MODELS FOR

DETERMINE WHO IS ACCOUNTABLE/RESPONSIBLE FOR
 Accuracy
 Accessibility
 Consistency
 Completeness
 Updating/Cleansing

WHO IS ACCOUNTABLE FOR WHICH INFORMATION

PROCESS MODELS FOR

WHO CAN ACT ON THE DATA?

PROCESS MODELS FOR

WHEN CAN YOU TAKE THESE ACTIONS?

PROCESS MODELS FOR

WHICH INFO CAN YOU USE

“
Every 2 days we create as much information as we did
from the beginning of time until 2013
- Techcrunch

MORE DATA GOVERNANCE PROCESS MODELS
 Woohoo! More Diagrams! 

PROCESSES MUST BE DEFINED CONCERNING HOW DATA IS:
 Stored
 Mapped
 Archived
 Backed Up
 Protected from mishaps, theft or attack

HOW IS DATA STORED?

 Stored
 Mapped
 Archived
 Backed Up

HOW IS DATA MAPPED?

 Stored
 Mapped
 Archived
 Backed Up

HOW IS DATA ARCHIVED?

 Stored
 Mapped
 Archived
 Backed Up

HOW IS DATA BACKED UP?

 Stored
 Mapped
 Archived
 Backed Up

HOW IS DATA PROTECTED FROM MISHAPS OR THREATS?

“
Big data has been used to predict crimes before they
happen – a “predictive policing” trial in California
was able to identify areas where crime will occur
three times more accurately than existing methods
of forecasting.
- BusinessInsider

CONCLUSION
 Summing it all up!

CONCLUSION
 Data Governance is already a necessity for regulated industries
 Data Governance will become more essential as data continues to
grow in organizations
 Implementing good Data Governance Practices aren’t easy but
Business Process Models can help get you started

“
It’s expected that by 2020 the amount of digital
information in existence will have grown from 3.2
zettabytes today to 40 zettbytes
- IBM

“
The NSA is thought to analyze 1.6% of all global
internet traffic – around 30 petabytes (30
million gigabytes) every day.
- CNET

THANKS!
Any questions?
You can find me on Twitter at:
Kim Brushaber
@Brushaber_IDERA

Getting Started with Data Governance? Use Process Models!

More Related Content

What's hot (20)

Similar to Getting Started with Data Governance? Use Process Models! (20)

More from DATAVERSITY (20)

Recently uploaded (20)

Getting Started with Data Governance? Use Process Models!