The document discusses the challenges and risks associated with poor analytics governance, emphasizing the need for automation in BI testing to ensure accuracy and functionality. It highlights a case study of Red Hat, which successfully reduced testing time from days to minutes by implementing Wiiisdom Ops for Tableau. The overall goal is to streamline analytics workflows to minimize errors and build trust in data across organizations.

1. Jeremy Blaney
VP, Product Marketing
Kévin Mazille
Lead Solution Engineer
TEST SMARTER,
NOT HARDER
With Wiiisdom Ops for Tableau

2. Agenda
1
The personal and business risks of
poor analytics governance.
2
How to automate BI testing and
promote/certify content—at scale!
A live walkthrough and demo of
Wiiisdom Ops for Tableau.
3
Case Study: How Red Hat reduced
testing time from days to minutes.
4

3. The development process for BI content is made
up of several steps—validation is the most critical.
Backlog
Build New
Dashboard
Update
Analysis
Regulatory
Report
In Progress
Create New
Data
Source
Update
Dashboard
Prep for
Upgrade
Promote to Prod
Certify/Release
?
?
Validate
in Dev
□ Accurate?
□ Functional?
□ Performant
?
□ Secure?
Re-validate in Prod
Swap Data
Sources

4. But the backlog of data/analytics needs is ever-
growing, so people take shortcuts to keep up.
Promote to Prod
Certify/Release
Re-validate in Prod
?
?
□ Accurate?
□ Functional?
□ Performant
?
□ Secure?
Deliver
ASAP!
Skip this.
Backlog
Build New
Dashboard
Update
Analysis
Regulatory
Report
In Progress
Create New
Data
Source
Update
Dashboard
Prep for
Upgrade
Swap Data
Sources
Validate
in Dev
Spot check.

5. After BI content
has been released,
ongoing validation
and governance are
essential for staying
ahead of issues—but
this rarely happens.
New column name
Data type change
Error in ETL process
Extract refresh failure
Duplicate content
Outdated analysis

6. Finance Leader
The finance dashboard isn’t
working. It won’t load. I need this
for a meeting in 30 minutes. Can
you fix it?! 🙏
Analyst
It’s a long story, but something
happened to the data source. I
can’t fix this in 30 min.
Sales Executive
I used the data from this viz to
adjust our discounts… but the
numbers aren’t adding up. Is this
data accurate?!
Analyst
Oh no. It looks like I made a
mistake in the Discount Rate
calculation. I’ll get this fixed. 😞
Other errors aren’t
noticeable—until it’s
too late.
Some errors are
obvious. Something is
clearly wrong.

7. Poor analytics
governance can lead
to significant and
COSTLY RISKS for
your organization.
LOSS OF
Compliance
Opportunity
Reputational
Operational
Financial

8. Delivering AnalyticsOps for:

9. Build trust in data and analytics.
Catch all errors to minimize risk.
Test, promote, and certify at scale.
Automate BI testing and
streamline your analytics
governance workflows.
WARNING
14 errors detected
Before Migration After Migration

10. DEMO

11. Wiiisdom Ops for Tableau
ACCURACY
Analytics Reporting
Tableau Cloud
Migrations
Tableau
Upgrades
Ongoing
Maintenance
Database
Migrations
USER
EXPERIENCE
SECURITY PERFORMANCE
STRESS
TESTING
REGRESSION
Tableau Cloud
Tableau Server
Data Source
Certification
Test Results
Promotion
Notifications
CI/CD
Integration

12. Read the case study
and watch the webinar.
CHALLENGE
Red Hat utilizes Tableau Cloud with over 5,000 workbooks
and 4,000 data sources. Data sources undergo multiple
transformations before being displayed in dashboards,
requiring thorough testing for accuracy and functionality.
However, most testing was done manually, consuming
valuable resources and creating opportunities for error.
SOLUTION
Red Hat implemented Wiiisdom Ops for Tableau, which
reduced testing time from days to minutes. Red Hat also
automated tests, increasing efficiency and accuracy—and
building trust in data and analytics amongst business users.
Red Hat scales dashboard testing
and builds trust in analytics.
REDUCED
TESTING TIME
FROM
DAYS
TO
MINUTES
Red Hat

13. Visit Us:
www.wiiisdom.com
Get Started with
Wiiisdom Ops
for Tableau
START