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Tips & Tricks to Achieve & Maintain Data Quality
Have no fear,
data quality is near Ephrat Geisler
Director of Product Management
May 2021
What is salesforce data quality ?
—
why is data quality important ?
—
Tips on How to achieve & maintain data
quality
3
4
What is data quality in salesforce?
Key Characteristics:
 Completeness
 Uniqueness
 Accuracy
 consistency
 timeliness
 Validity
5
one quick question
before we start
Thank you for joining !
Why is data quality important?
Critical business decisions are based on Salesforce data
—
Builds the trust of your Teams
—
Affects Salesforce adoption
—
Other systems rely on Salesforce data
—
The success of your Salesforce changes & innovation relies on it
6
There’s no one-size-fits-all
• Define your company’s measures
• Understand: What are the business objectives? What data is required to achieve it?
What’s in it for you?
Users will trust Salesforce as the single source of truth
—
The business will successfully grow:
› Sales will not miss any opportunities or revenue
› Marketing team will benefit from targeting the right people
› Customer Success can accurately manage their portfolios
—
Teams will make the right decisions
—
High productivity
—
High user adoption
—
High customer success & support
—
No more frustrated users
7
5 steps to
#awesome data quality
8
5 steps to #awesome data quality
9
1 | Map & identify
2 | set the standards
3 | Clean up
4 | Monitor & validate
5 | Celebrate & communicate
Step #1 - Map & identify
Whatis your starting point ?
Do you have a Data Quality issue?
10
* https://hbr.org/2016/07/assess-whether-you-have-a-data-quality-problem
Try the “Friday Afternoon Measurement” method by Thomas C. Redman
?
step #2 - set the standards
11
Don’t keep track of everything - Not all data is relevant
—
Constantly revisit
Understand: What is right for your business
—
Determine what is mandatory vs. optional
—
Define the proper formats:
› Naming conventions
› Country/State abbreviations
› Phone Numbers
› IDs
step #3 – clean up
Fix whatever does not comply with the standards you’ve set
—
One-time vs. Periodic
—
Duplications, duplications, duplications
12
Fix fast & Be smart about it  Change Intelligence
—
Start with a smaller scale cleanup  Learn from it
step #4 – Monitor & validate
Maintain the data quality
—
Ongoing, automatic
—
Use the solutions that are right for you:
› Required Fields
› Workflows
› Validation Rules
› Set restrictions where needed
› Automate
› Use Default values
› Duplication prevention
› Reports & Dashboards, Alerts
13
Automate, expand & enrich the data where possible
Step #5 – celebrate & communicate
Communicate achievements
—
Celebrate the successes
14
Gamification. Make it fun & interactive
5 steps to #awesome data quality
15
1 | Map & identify
2 | set the standards
3 | Clean up
4 | Monitor & validate
5 | Celebrate & communicate
Ephrat Geisler
Director of Product Management
egeisler@panaya.com
Thank you
16
Panaya.com
Looking forward to having
you on our next webinar:
17
May 27, 2021, 9:00 EST
—
Innovation in Salesforce - Stand
Out with Innovative, Creative,
and Proactive Solutions
Forward Looking Statement
This presentation contains product features that are currently
under development or testing or certification
—
This presentation/overview of the new technology represents no
commitment from Panaya to deliver these features in any
generally available product
—
Features are subject to change, and must not be included in
contracts, RFP’s, purchase orders, or sales agreements of any kind
—
Technical feasibility and market demand will affect final delivery
—
Pricing and packaging for any new technologies or features
discussed or presented have not been determined
18

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Have no Fear, Salesforce Data Quality is Near

  • 1.
  • 2. — Tips & Tricks to Achieve & Maintain Data Quality Have no fear, data quality is near Ephrat Geisler Director of Product Management May 2021
  • 3. What is salesforce data quality ? — why is data quality important ? — Tips on How to achieve & maintain data quality 3
  • 4. 4 What is data quality in salesforce? Key Characteristics:  Completeness  Uniqueness  Accuracy  consistency  timeliness  Validity
  • 5. 5 one quick question before we start Thank you for joining !
  • 6. Why is data quality important? Critical business decisions are based on Salesforce data — Builds the trust of your Teams — Affects Salesforce adoption — Other systems rely on Salesforce data — The success of your Salesforce changes & innovation relies on it 6 There’s no one-size-fits-all • Define your company’s measures • Understand: What are the business objectives? What data is required to achieve it?
  • 7. What’s in it for you? Users will trust Salesforce as the single source of truth — The business will successfully grow: › Sales will not miss any opportunities or revenue › Marketing team will benefit from targeting the right people › Customer Success can accurately manage their portfolios — Teams will make the right decisions — High productivity — High user adoption — High customer success & support — No more frustrated users 7
  • 8. 5 steps to #awesome data quality 8
  • 9. 5 steps to #awesome data quality 9 1 | Map & identify 2 | set the standards 3 | Clean up 4 | Monitor & validate 5 | Celebrate & communicate
  • 10. Step #1 - Map & identify Whatis your starting point ? Do you have a Data Quality issue? 10 * https://hbr.org/2016/07/assess-whether-you-have-a-data-quality-problem Try the “Friday Afternoon Measurement” method by Thomas C. Redman ?
  • 11. step #2 - set the standards 11 Don’t keep track of everything - Not all data is relevant — Constantly revisit Understand: What is right for your business — Determine what is mandatory vs. optional — Define the proper formats: › Naming conventions › Country/State abbreviations › Phone Numbers › IDs
  • 12. step #3 – clean up Fix whatever does not comply with the standards you’ve set — One-time vs. Periodic — Duplications, duplications, duplications 12 Fix fast & Be smart about it  Change Intelligence — Start with a smaller scale cleanup  Learn from it
  • 13. step #4 – Monitor & validate Maintain the data quality — Ongoing, automatic — Use the solutions that are right for you: › Required Fields › Workflows › Validation Rules › Set restrictions where needed › Automate › Use Default values › Duplication prevention › Reports & Dashboards, Alerts 13 Automate, expand & enrich the data where possible
  • 14. Step #5 – celebrate & communicate Communicate achievements — Celebrate the successes 14 Gamification. Make it fun & interactive
  • 15. 5 steps to #awesome data quality 15 1 | Map & identify 2 | set the standards 3 | Clean up 4 | Monitor & validate 5 | Celebrate & communicate
  • 16. Ephrat Geisler Director of Product Management egeisler@panaya.com Thank you 16 Panaya.com
  • 17. Looking forward to having you on our next webinar: 17 May 27, 2021, 9:00 EST — Innovation in Salesforce - Stand Out with Innovative, Creative, and Proactive Solutions
  • 18. Forward Looking Statement This presentation contains product features that are currently under development or testing or certification — This presentation/overview of the new technology represents no commitment from Panaya to deliver these features in any generally available product — Features are subject to change, and must not be included in contracts, RFP’s, purchase orders, or sales agreements of any kind — Technical feasibility and market demand will affect final delivery — Pricing and packaging for any new technologies or features discussed or presented have not been determined 18