Learn the benefits, challenges, and guidelines of governing your self-service BI, analytics, and data discovery environments.

1. DataDiscoveryandGovernance
Benefits, Challenges, Guidelines
4. Confidence in Data
9. Achieving Governance
6. Pitfalls5. Fraud Prevention
7. Data Silos 8. Dirty Data
3. Confidence in
Safe Sharing
2. Privacy and Security1. Why
?
4. Confidence in Data
9. Achieving Governance
6. Pitfalls5. Fraud Prevention
7. Data Silos 8. Dirty Data
3. Confidence in
Safe Sharing
2. Privacy and Security1. Why
4. Confidence in Data
9. Achieving Governance
6. Pitfalls5. Fraud Prevention
7. Data Silos 8. Dirty Data
3. Confidence in
Safe Sharing
2. Privacy and Security1. Why
4. Con
9. Achieving Governance
6. Pitf5. Fraud Prevention
7. Data Silos 8. Dir
3. Confidence in
Safe Sharing
9. Achieving Governance
5. Fraud Prevention
7. Data Silos
9. Achieving Governance
6. P5. Fraud Prevention
7. Data Silos 8. D

2. Why GovernYour Self-Service BI, Analytics,
and Data Discovery Environments?
Data governance helps organizations
realize the benefits of self-service
analytics and data discovery, and
avoid issues such as disparate and
disconnected tools and multiple
versions of the truth.
Find out some more reasons why here….
1. Why
?

3. Reason #1: Privacy and Security
As more users gain access to enterprise
data, the need to protect it from
unauthorized viewing increases
exponentially.
1. Why

4. Reason #2: Confidence in Safe Sharing
of Analytical Content
A governed environment ensures that
colleagues, customers, business partners,
and other stakeholders are comfortable
sharing the insights they have, such as
• Interactive visualizations
• Reports and charts
• In-document analytics
• And more
3. Confidence in
Safe Sharing

5. Reason #3: Having Confidence inYour Data
Surveys show that as many as 60 percent
of companies consider their data to be
unreliable, with as much as 25 percent
of the information in the average
database containing inaccuracies.1
1
“The Impact of Bad Data on Demand Generation,”Sirius Decisions, 2013
3. Confidence in
Safe Sharing

6. Reason #4: Fraud Prevention
Offering tools to a broader user
base creates the risk of inappropriate
or even illegal use of enterprise
information.5. Fraud Prevention
3. Confidence in
Safe Sharing

7. Pitfalls of Poor Governance
According to Eckerson Group, power
users in an ungoverned BI environment
“operate in silos – independent of
other users and analysts – and create
spreadmarts that conflict with other
corporate and departmental reports.”2
Read on for some of those pitfalls…
2
Eckerson, Wayne.“Governed Data Discovery: Balancing Flexibility
and Standards,” The New BI Leader, March 2016
5. Fraud Prevention
3. Confidence in
Safe Sharing

8. Pitfall #1: Data Silos
Data Silos hinder the sharing
of analytics content across
departments and business units.
7. Data Silos
How can I avoid creating Data Silos? Read more here: http://bit.ly/BigDataIssues

9. Pitfall #2: Dirty Data
Research from Experian Data Quality
shows that inaccurate data has a direct
impact on the bottom line of 88 percent
of companies, with the average company
losing 12 percent of its revenue.37. Data Silos
3
Davis, Ben.“The Cost of Bad Data: Stats,”Econsultancy, March 2014

10. Achieving Governance in Self-Service
Analytics and Data
A good governance plan must be backed
by the right supporting technologies.
Bad data drains resources, leads to poor
decision-making, and impacts the bottom
line. With Information Builders, organizations
can create and deploy robust self-service
analytics and data discovery environments,
while protecting the availability, reliability,
security, and quality of the data being
delivered through those environments.
9. Achieving Governance
7. Data Silos
For more information, visit us at informationbuilders.com and download our full white paper at:
http://bit.ly/2hakhUi