The Life-Changing Magic Of Tidying Up Your Data

Transcription

The Life-Changing Magic of Tidying Up Your DataTIPS & TRICKS FOR A CLEANER DATABASE (AND A HAPPIER LIFE)Jarod Bonino, BlackbaudRon Fontenot, Blackbaud

Jarod BoninoRon FontenotPRINCIPAL PRODUCT MANAGERSENIOR PRODUCT n.Fontenot@Blackbaud.com

KonMari: Basic Rules to Get Started1.Tidy all at once2.Visualize the destination3.Ask yourself if it sparks joy4.Tidy by category, not location5.Follow the right order (Clothes, Books, Papers, Komono, Sentimental)

KonMari Method

RonJari Method

RonJari: Basic Rules to Get Started1.Commit yourself to tidying up2.Imagine your ideal database3.Ask yourself if it sparks joy4.Tidy by category, not location5.Follow the right order

RonJari Rule #1:Commit yourself to tidying up

Committing yourself to tidying up1. Know2. Accept3. Plan4. Scale

Know your data

Know your organization

Accept that you cannot “buy” clean data(it’s only available for rent)

Clean data doesn’t care what you did last summer.

“I cleaned my office last month.”

Clean data isn’t always a data problem.Sometimes it’s a behavior problem.

Schedule Data Health

Think About ScaleTime

Think About ScaleTimePeople

Think About ScaleTimePeopleAutomation

If you can’t be replaced,you can’t be promoted.

Scalability - PeoplePolicies & ProceduresSystem Configurations

Scalability – People

Scalability – People

Scalability - People

There Are Some Things People Don’t Understand

There Are Some Things People Don’t Know

Scalability - Automation

RonJari Rule #2:Imagine your ideal database

Set Data Health Goals 15% 90% 100Email Bounce RateDirect Mail DeliverabilityDuplicate ConstituentsDonors can’t respond ifthey don’t get the emailand undelivered emails mayimpact future sends.Each piece of direct mail sentincurs print and postage costs.Reducing the amount ofreturned mail directlydecreases that cost.Duplicate constituents mayresult in the likely givers notreceiving certaincommunications OR the sameperson receiving the samething twice.

Imagine your ideal database

Imagine your ideal database.

Imagine your ideal database

RonJari Rule #3:Ask yourself if it sparks joy

Ask yourself if it sparks joy.In order to spark joy, data must be unique (long-term) serve a purpose be actionable

Yellow Pages

Saying 0Delete%20Constituents.pdf

RonJari Rule #4:Tidy by category, not location

Tidy by category – Consider duplicates

Tidy by category – consider duplicates

Tidy by category –Considercommunicationpreferences Tidy doesn’t just mean“delete/merge data” It also means pick a(single) way to handlecertain situations

Tidy by Category: Consider System Fields

Tidy by category: Consider Code Tables

Tidy by category: Review data dependent configurations

RonJari Rule #5:Follow the right order

Follow the right order Data cleanup can be a daunting task. Make sure your spending your limited time and effort on cleaning up thepieces that mean the most to your organization. We do have prescriptive suggestions in areas of the product depending on thecurrent state of your data, but ultimately you decide what the “right order” is. The important thing is to show results and benefit before investing more timeand energy.

Follow the right order: Data Policy Consider how data enters the system in your organization. Who are the organizational stakeholders? Who can help? Devise a plan of attack It's ok to start small; It's ok to start with a policy for "data entry going forward" Continuous incremental changes can have enormous effects over time Consider this "the plan to support your data entry folks"

Follow the right order: Enact your policy Proactive solutions Take a stance to standardize new data coming into the system Review helpful configurations to reach that goal Reactive solutions Review current policy / data to discover opportunities toimprove. Identify where data flows in, audit and review. Begin to clean up old data.

To hear more about datahealth & duplicatemanagement:Duplicates, Duplicates, andMore DuplicatesBlackbaud & Microsoft Connected PlatformsThursday @ 8:30 amLincoln A

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The Life-Changing Magic of Tidying Up Your Data TIPS & TRICKS FOR A CLEANER DATABASE (AND A HAPP