by

1. Data Health Best Practices in
eTapestry
PRESENTED BY
PAM DECHERT CFRE AND SENIOR CONSULTANT
MIKE RUSCHE PRODUCT MANAGER - ETAPESTRY

2. Data Health = More more money for
my mission and Blackbaud can
help! #bbcon
2 #bbcon
Tweet this now

3. What is Data Health?
3 #bbcon

4. What is Data Health?
4 #bbcon
• Address Clean-up
• Social
• Deceased
• Age
• Phone Numbers
• Email
• Employment

5. What is Data Health?
5 #bbcon
• Address Clean-up
• Social (Scheduled for 2015)
• Deceased
• Age
• Phone Numbers
• Email
• Employment

6. Survey Time!
• How many of you have a Data Health Plan?
10%*
6 #bbcon
*
*Based on a 3rd Sector Labs Survey

7. Survey Time!
• When was the last time your organization did
any type of data cleanup?
• Less than 3 months ago
• More than 6 months ago
• Never or can not remember
7 #bbcon

8. Survey Time!
• When was the last time your organization did
any type of data cleanup?
• Less than 3 months ago
30%*
8 #bbcon
*Based on a 3rd Sector Labs Survey

9. Survey Time!
• When was the last time your organization did
any type of data cleanup?
• More than 6 months ago
40%*
9 #bbcon
*Based on a 3rd Sector Labs Survey

10. Survey Time!
• When was the last time your organization did
any type of data cleanup?
• Never or can not remember
30%*
10 #bbcon
*Based on a 3rd Sector Labs Survey

11. Survey Time!
• How many of you have someone responsible
for data quality?
67%*
11 #bbcon
*Based on a 3rd Sector Labs Survey

12. Why is it Important?
12 #bbcon

13. Why is Clean Data Important?
• Relationships
• If you don’t even know they moved, what does that
say about you wanting to build a long term
relationship with them.
• Retention
• If you don’t know they have have a new email
address, how do they get your communications?
• They will forget about you.
• Donations
• You will SAVE costs and RAISE more money.
13 #bbcon

14. Quiz Time!
• What percent of people in the US move each
year?
11.6%* 15%*
*Based on Non Profit Quarterly Data
14 #bbcon
*Based on US Census Data
• That means on average 1,100 to 1,500 people
per year need their addresses updated in a
10,000 name database!

15. Quiz Time!
• What percent of people will you have to mark
as deceased each year?
8%*
*Based US Census Data
• That means on average 800 people per year in
a 10,000 name database need to be updated
as deceased!
15 #bbcon

16. Quiz Time!
• What percent of people in the US create a new
email every 6 months?
17%*
*Based 2014 M+R Benchmark Study
• That means on average 1,700 people per year
in a 10,000 name database have a new email
address every six months!
16 #bbcon

17. Quiz Time!
• What percent of people actually change their
email annually?
30%*
*Based 2014 M+R Benchmark Study
• That means on average you have outdated
email addresses for 3,000 people per year in a
10,000 name database.
17 #bbcon

18. Quiz Time!
• What percent of the world joined an online
Social Network in the past two years?
18%*
*Based on a 2014 eMarket Report
• Numbers now show approximately 1 in 4
people around the world are on Social Media.
18 #bbcon

19. Clean data = $
• Example using Bad Addresses and Deceased:
• Sending a mailing to 10,000 names.
• Cost assumed at $1/per piece sent.
• Response rate 10%
• Average gift is $30
19 #bbcon

20. Clean data = $
• If you don’t clean your data:
• Mail sent to potential bad data = 1,800
• Responses you won’t get from bad data = 180
• Potential donations you won’t receive from bad data =
$5,400
• Extra costs because of bad data = $1,800
Total: $7,200
20 #bbcon

21. Clean data = $
• Example using eMail directing people to take
action on your eCommerce page:
• Sending an email to 10,000 names.
• Cost assumed at $.10 per email
• Response rate 7%
• Average gift is $163
21 #bbcon

22. Clean data = $
• If you don’t clean your data:
• People who won’t see your email = 1,700
• Responses you won’t get from bad data = 119
• Potential donations you won’t receive from bad data =
$19,397
• Extra costs because of bad data = $170
Total: $19,567
22 #bbcon

23. Clean data = $
• Example using Social Media:
• 10,000 Name Database.
• Cost: Minimal
• Response rate 18%
• Average gift is $59 (Source NPTech for Good)
23 #bbcon

24. Clean data = $
• If you don’t clean your data:
• People who won’t connect with = 1,800
• Responses you won’t get from bad data = 324
• Potential donations you won’t receive from bad data =
$19,116
Total: $19,116
24 #bbcon

26. Insanity is doing the same thing over
and over again….
• Stop “cleaning up” data only at the mail house or in excel, but not
in your database
• Stop keeping JUNK in the database
• Get buy in from the top down:
• CEO, ED
• Board, Development Committee
• Staff, Volunteers
• Donors

27. Data Health Plan
• Organizational Buy-in
• Data Health Scorecard and NCOA update
• Data Health Audit
• Data Cleanup Plan and ongoing Data Health calendar

28. Your Data Health Plan – Start with the
Data Health Scorecard
• The health of your database is determined by comparing the addresses
of your constituents with Target Analytics information. If most of the
addresses in your database are complete and current, your database
receives a good score. The highest possible score is an A. The more
addresses are incomplete or incorrect, the lower the score will be. The
lowest possible score is an E.
• The score card also indicates whether it has been more than 90 days
since you ran AddressFinder™ (NCOA®). We recommend you run
AddressFinder™ (NCOA®) regularly so that you quality for postal
discounts. AddressFinder™ (NCOA®) helps you keep constituent
addresses up to date, so you don't waste money sending mail to
outdated addresses. For more information, refer to AddressFinder™
(National Change of Address®).

29. What’s your Score? A or ???

30. The Good News about NCOA
 After the results are downloaded, the Address, City, State, and Postal
Code fields for relevant constituents are updated.
 User-defined fields on each persona are also updated to reflect the date
and details of the update.
 A journal entry is also added to your organization's account; it includes
an attachment that you can provide to the United States Postal Service
to help qualify for discounts on your bulk postage

31. The ‘Bad News’ – not really!
You’ll have a category in eTapestry AddressFinder™ (NCOA®) Codes that
will allow you to mark accounts using Mass Update:
• Invalid Address
• Move Identified, Address Cannot Be Updated (Not Corrected)
Use these queries to Mass Update the Account Values for Bad Address

32. But that’s only step 1 of the plan
Data Health Audit
What else should we take a look at in eTapestry?
• Salutations
• Account Type
• Important User Defined Fields
• Address Clean-up
• Social
• Deceased
• Age
• Phone Numbers
• Email
• Employment
• Missing gift information: Campaigns, Approaches

33. 5 Great Ways to Clean up Data:
• By hand (ok, maybe not great, but works! Think
INTERN!)
• Mass Update
• Import
• Integrated NCOA and coming soon Social!
• Data Enrichment Services and Target Analytics
• Email Append
• Deceased, Age Append
• Employment
• Prospect Research

34. Query on what’s missing:
• Create a Data Health Query Category and put your common cleanup
queries in it.
• Create easy ‘no value’ ‘any’ queries on fields with high potential for
missing data
• Use Campaign and Approach summary to look for missing transaction
information
• Query on segments and create report of all values you are looking for
(great if the information is in there, but wrong!)
• Create a general report and then auto-schedule these to run every 90
days and be delivered to your inbox.

35. Query your database to look for missing
data:

36. If the data in the records:
• All need to be updated with the SAME data – MASS UPDATE
• Example: You queried on all accounts with no Account Type and 400 come back
empty. You realize they are all or 95% Individuals. You use the query with those
records to Mass Update the Account Value of Account Type to Individuals. Even if
a handful are businesses, do the mass update and hand correct those.
• All need to have different values – REIMPORT
• Example: You queried on accounts with missing salutations. Every donor’s
salutations are different. Pull the data into an excel spreadsheet, include account
number. Correct it in excel, then reimport the salutations using the account
number.

37. Query your database to look for missing
data:

38. Pull it out into Excel – include Account
Number

39. Import changes back in:

40. Query on missing data:

41. Put it on a simple report:

42. Use Mass Update to Correct:

43. If the data is more complex or is missing and you
can’t find it:
• Data Service with eTapestry: we can do it programmatically on a test
database and then push it live.
• We can Mass Delete data.
• Target Analytics and Data Enrichment Services – this can be imported
back in!

44. Adding required fields:

45. User Rights & Activity:

46. Ongoing Data Health Plan:
• Quarterly NCOA update
• Data Health Audit
• Monthly or quarterly data health reports sent to you.
• Set required fields for Data Entry in the system. For both accounts and gifts.
• Limit user access to create Funds, Campaigns, Approaches, User Defined
Fields.
• Data Entry Quality Check using User Activity Report and Created, Modified
by.
• Take Screen Shots (or videos) of proper data entry for your organization.
Create a user manual or a ‘how to’ for data and gift entry.
• Report on data health as part of your ongoing development plan. Assign data
health tasks to the team. Create data health calendar with assignments.

47. Clean Data Directly impacts:
• Relationships
• Retention
• Donations
Implement a data health plan
47 #bbcon
today!

48. Resources:
• HELP in eTapestry: Mass Update and Import
• Training Central: LIVE import class or video on import
• https://www.blackbaud.com/analytics/
• etapconsulting@blackbaud.com
• Pam.dechert@blackbaud.com

49. Did this session give you the jolt you needed?
Don’t forget to complete
a session survey!
Each completed survey enters you into a drawing to win a
complimentary registration to bbcon 2015 in Austin, Texas*.
*Blackbaud reserves the right to change or withdraw this promotion at any time, without advance notice. Promotion has no cash value and may not be
exchanged, applied to, or combined with any other offer.
50 #bbcon