SlideShare una empresa de Scribd logo
1 de 33
Descargar para leer sin conexión
Best Practice Strategies to
             Clean up and Maintain Your
                     Database

                                   Hether Ghelf
             Senior Consultant, Project Manager & Data Hygiene Lead




22/03/2013                              1
GARBAGE IN, GARBAGE OUT
       • Bad inputs make bad outputs

       • In lead generation and overall marketing, a piece of information is
         considered “garbage” if it doesn’t contribute positively to the
         campaign.

       • If you’ve got misleading, inaccurate, or incomplete data, then you’ve
         got garbage on your hands.




22/03/2013                                 2
CHALLENGES & REASONS FOR MESSY DATA

       Staffing Issues

       • Do you have a high data entry staff turnover?
       • Are you stretching existing resources a long way?




22/03/2013                                3
CHALLENGES & REASONS FOR MESSY DATA

       Limited Time / Budget

       • Do you struggle finding the time or money for proper database training
         for your employees?




22/03/2013                                4
CHALLENGES & REASONS FOR MESSY DATA

       Merges and conversions within your databases

       • Have you recently merged 2+ databases?
         - Were duplicate records, codes, attributes taken care prior to the
           merge?

       • Did you convert from one database to another?
         - Were pre-conversion clean up activities and post conversion clean
           up activities scheduled?



             Converting from one database to another is
             a huge task and shouldn’t be taken lightly!

22/03/2013                                 5
CHALLENGES & REASONS FOR MESSY DATA

       Using external sources

       • Do you bring in data from 3rd party vendors or external lists?
       • Have you ensured the data is formatted to fit your data file prior to
         importing?




22/03/2013                                  6
CHALLENGES & REASONS FOR MESSY DATA

       Documentation for Policy and Procedures

       • Are your policy and procedures documents non existent or out-dated?
       • Does your organisation have a Data Entry Standards (DES) document
         to assist with “how to” properly enter data?




              A policy and procedures document
             and DES are two of the top documents
                  organisations should have!



22/03/2013                               7
CHALLENGES & REASONS FOR MESSY DATA

       Resistance to change

       • Have you stopped to ask why you enter in data the way you do?
       • Do you have multiple people entering data different ways?




22/03/2013                              8
WHERE TO START - STEPS TO TAKE
       1. Receive support from the top down

       2. Audit/Assessment

       3. Areas & Issues Identified
             - create a clean up plan/strategy
             - start with the most important areas


       4. Begin Data Cleansing

       5. Ask for Help

       6. Be Proactive – fill in the gaps

       7. Maintain Your Database

22/03/2013                                           9
STEP 1 – RECEIVE SUPPORT FROM THE TOP DOWN
       • CEO

       • Executive Committee

       • Fundraising Manager

       • Fundraising Staff

       • Program & Other Department Staff

       • Data Entry Staff

       • Volunteers



22/03/2013                             10
STEP 2 - AUDIT/ASSESSMENT

       Review your database structure
       • Codes, Attributes, Notes, Gift info, Reports, User Access, Process
       • EVERYTHING!

       Create initial queries/groupings




22/03/2013                                11
STEP 2 - AUDIT/ASSESSMENT
       • Examples of groupings/queries:
             - Formatting of title, first name, middle name, surname, suffix, address lines,
               suburb, state, postcode, gender
             - Blank fields in all of the above
             - Where there’s a spouse but the primary addressee and salutations are
               singular
             - If marked deceased, is the spouse still receiving the mailings; if yes, how are
               they being addressed? Is it still Mr & Mrs? Correct the record so you don’t
               offend anyone
             - Marked as do not solicit, do not call but have been sent a recent appeal or
               called during a recent calling campaign
             - Missing Constituent Codes, Solicit Codes, Attributes
             - Review code tables or drop down menu selections regularly and eliminate
               duplicates or misspellings, especially after data has just been imported into
               the database
             - Return to sender mail – mark as invalid address, don’t just throw it away



22/03/2013                                         12
STEP 2 - AUDIT/ASSESSMENT
       • Examples of groupings/queries continued…
             -   Male title/female or unknown gender
             -   Female title/male or unknown gender
             -   Title Ms, Mrs, Miss and unknown gender
             -   Blank spouse or contact title
             -   Marital status with deceased spouse
             -   Single with spouse
             -   Gifts with a blank campaign, appeal, letter code, etc
             -   Gifts not receipted or acknowledged




22/03/2013                                          13
STEP 2 - AUDIT/ASSESSMENT
       • Other areas to consider reviewing/updating:
             -   Required fields
             -   Security Groups and/or User Access
             -   Existing reports, queries/groupings and exports
             -   Duplicate records – find and merge




22/03/2013                                         14
STEP 2 – AUDIT/ASSESSMENT

       Start talking!

       • Have you asked for input from staff/departments who obtain
         information from the database? Or from those who input data?




22/03/2013                              15
STEP 3 – AREAS & ISSUES IDENTIFIED

       • Review and fine-tune the queries/groupings you created in Step 2

       • Review notes from talking with staff/departments




22/03/2013                                16
STEP 3 – AREAS & ISSUES IDENTIFIED

       • Create a Clean Up Plan/Strategy and goals




22/03/2013                              17
STEP 4 – DATA CLEANSING


       Start Data Cleansing!




             Before making any changes to be
              sure to back up your database!



22/03/2013                     18
STEP 5 – ASK FOR HELP

       Ask for help Internally

       • Knowledgeable staff within your organisation

       And for help externally if needed

       • Consultants or technical experts
         to run database audits
       • Blackbaud Data Hygiene Services




22/03/2013                                 19
STEP 6 – BE PROACTIVE

       Be Proactive

       Be Proactive

       Be Proactive




22/03/2013                     20
STEP 7: MAINTAIN YOUR DATABASE


             After you have spent time, energy
                 and money cleansing your
              database, put steps in place to
                        maintain it!




22/03/2013                    21
STEP 7 - MAINTAINING YOUR DATABASE

       Assign roles within your organisation
       • Database Administrator (DBA) and/or Super User is a must
       • Set their primary responsibility to keeping your database clean and
         maintained

       Have a back up!
       • Have a back up DBA that can step
           up in case your primary DBA is
           out sick or leaves the organisation




22/03/2013                                22
STEP 7 - MAINTAINING YOUR DATABASE

       Update (or create) those important documents!

       • Policies and Procedures
       • Data Entry Standards (DES) document




22/03/2013                             23
STEP 7 - MAINTAINING YOUR DATABASE
       Example of Policy & Procedures document:




22/03/2013                           24
STEP 7 - MAINTAINING YOUR DATABASE
       Example of Data Entry Standards document:




22/03/2013                           25
STEP 7 - MAINTAINING YOUR DATABASE

       Keep your staff in the know!

       • Train new and existing staff in system functionality
       • Provide refresher training to staff on a regular basis (quarterly)
       • Hold regular data entry staff meetings (weekly/bi-weekly)




22/03/2013                                  26
STEP 7 - MAINTAINING YOUR DATABASE

       Look AND Listen

       • Check new staff’s data entry –
         help them become comfortable
         with how they should be entering
         data

       • Talk to your staff - ask what staff like
          doing in the database and what
          they don’t




22/03/2013                                   27
STEP 7 - MAINTAINING YOUR DATABASE

       Be prepared for upcoming campaigns

       Calling Campaigns:

       • Request staff or volunteers to verify name, address, email, mobile
       • Create a template for entering the new/updated information




22/03/2013                                28
STEP 7 - MAINTAINING YOUR DATABASE

       Mailing Campaigns:

       • Check your queries/groupings to ensure they have the correct criteria
       • Run your addresses through a data hygiene service or Australia Post
         one or twice a year




22/03/2013                                29
STEP 7 - MAINTAINING YOUR DATABASE

       Always continue auditing and cleaning up your database

              And never stop searching for areas of improvement




                 Once your database is at a
               manageable state, it will be easier
                        to maintain!




22/03/2013                            30
TAKE AWAYS
       1. Your database is key to your fundraising

       2. Remember… garbage in, garbage out

       3. Get started – don’t keep delaying the inevitable

       4. MAINTAIN YOUR DATABASE

       5. Ask for HELP




22/03/2013                                31
HOW BLACKBAUD CAN HELP
       • Blackbaud’s Consulting Services Department can assist you with your
         database clean up, creation of your Policy & Procedures document
         and Data Entry Standards document.

       • Blackbaud’s Data Hygiene Services include:
         – Address append and verification
         – Phone append and verification for telemarketing and other contact
           purposes
         – Deduplication
         – Provides deep insight into your existing data
         – Offers data elements to enhance your data to create a richer asset
           for your organisation




22/03/2013                                32
THANK YOU!

             Questions?



22/03/2013        33

Más contenido relacionado

La actualidad más candente

Master Data Management
Master Data ManagementMaster Data Management
Master Data Management
Sabir Akhtar
 

La actualidad más candente (20)

Data Profiling: The First Step to Big Data Quality
Data Profiling: The First Step to Big Data QualityData Profiling: The First Step to Big Data Quality
Data Profiling: The First Step to Big Data Quality
 
6 Steps to Become a Data-Driven Company
6 Steps to Become a Data-Driven Company6 Steps to Become a Data-Driven Company
6 Steps to Become a Data-Driven Company
 
Master Data Management
Master Data ManagementMaster Data Management
Master Data Management
 
Five Things to Consider About Data Mesh and Data Governance
Five Things to Consider About Data Mesh and Data GovernanceFive Things to Consider About Data Mesh and Data Governance
Five Things to Consider About Data Mesh and Data Governance
 
Data Quality Strategies
Data Quality StrategiesData Quality Strategies
Data Quality Strategies
 
Data quality architecture
Data quality architectureData quality architecture
Data quality architecture
 
Road to NODES - Healthcare Analytics
Road to NODES - Healthcare AnalyticsRoad to NODES - Healthcare Analytics
Road to NODES - Healthcare Analytics
 
Ibm data governance framework
Ibm data governance frameworkIbm data governance framework
Ibm data governance framework
 
Real-World Data Governance: Data Governance Expectations
Real-World Data Governance: Data Governance ExpectationsReal-World Data Governance: Data Governance Expectations
Real-World Data Governance: Data Governance Expectations
 
Applications of Big Data
Applications of Big DataApplications of Big Data
Applications of Big Data
 
LDM Webinar: Data Modeling & Metadata Management
LDM Webinar: Data Modeling & Metadata ManagementLDM Webinar: Data Modeling & Metadata Management
LDM Webinar: Data Modeling & Metadata Management
 
Reference master data management
Reference master data managementReference master data management
Reference master data management
 
Data Cleaning
Data CleaningData Cleaning
Data Cleaning
 
Data Governance Powerpoint Presentation Slides
Data Governance Powerpoint Presentation SlidesData Governance Powerpoint Presentation Slides
Data Governance Powerpoint Presentation Slides
 
Data Governance
Data GovernanceData Governance
Data Governance
 
Data-Ed Webinar: Data Quality Success Stories
Data-Ed Webinar: Data Quality Success StoriesData-Ed Webinar: Data Quality Success Stories
Data-Ed Webinar: Data Quality Success Stories
 
Data Quality Presentation
Data Quality PresentationData Quality Presentation
Data Quality Presentation
 
Master Data Management
Master Data ManagementMaster Data Management
Master Data Management
 
Data Strategy for Telcos : Preparedness and Management
Data Strategy for Telcos : Preparedness and ManagementData Strategy for Telcos : Preparedness and Management
Data Strategy for Telcos : Preparedness and Management
 
Strategic Business Requirements for Master Data Management Systems
Strategic Business Requirements for Master Data Management SystemsStrategic Business Requirements for Master Data Management Systems
Strategic Business Requirements for Master Data Management Systems
 

Destacado

빠르고쉬운대출『LG777』.『XYZ』무자본창업 운전자보험만기환급
빠르고쉬운대출『LG777』.『XYZ』무자본창업 운전자보험만기환급빠르고쉬운대출『LG777』.『XYZ』무자본창업 운전자보험만기환급
빠르고쉬운대출『LG777』.『XYZ』무자본창업 운전자보험만기환급
hslkdfjs
 

Destacado (20)

Data Cleaning Process
Data Cleaning ProcessData Cleaning Process
Data Cleaning Process
 
Data Quality - The Cleansing Process
Data Quality - The Cleansing ProcessData Quality - The Cleansing Process
Data Quality - The Cleansing Process
 
Data cleansing
Data cleansingData cleansing
Data cleansing
 
Presentation on Data Cleansing
Presentation on Data CleansingPresentation on Data Cleansing
Presentation on Data Cleansing
 
Brief Introduction to the 12 Steps of Evaluation Data Cleaning
Brief Introduction to the 12 Steps of Evaluation Data CleaningBrief Introduction to the 12 Steps of Evaluation Data Cleaning
Brief Introduction to the 12 Steps of Evaluation Data Cleaning
 
7 Step Data Cleanse: Salesforce Hygiene
7 Step Data Cleanse: Salesforce Hygiene7 Step Data Cleanse: Salesforce Hygiene
7 Step Data Cleanse: Salesforce Hygiene
 
New Use Cases for DAM in the Enterprise
New Use Cases for DAM in the EnterpriseNew Use Cases for DAM in the Enterprise
New Use Cases for DAM in the Enterprise
 
빠르고쉬운대출『LG777』.『XYZ』무자본창업 운전자보험만기환급
빠르고쉬운대출『LG777』.『XYZ』무자본창업 운전자보험만기환급빠르고쉬운대출『LG777』.『XYZ』무자본창업 운전자보험만기환급
빠르고쉬운대출『LG777』.『XYZ』무자본창업 운전자보험만기환급
 
Hadoop Cluster Management
Hadoop Cluster ManagementHadoop Cluster Management
Hadoop Cluster Management
 
Remaining Agile with Billions of Documents: Appboy and Creative MongoDB Schemas
Remaining Agile with Billions of Documents: Appboy and Creative MongoDB SchemasRemaining Agile with Billions of Documents: Appboy and Creative MongoDB Schemas
Remaining Agile with Billions of Documents: Appboy and Creative MongoDB Schemas
 
01_HTML - 작심10시간! 나만의 웹사이트 기획하고 만들기
01_HTML - 작심10시간! 나만의 웹사이트 기획하고 만들기01_HTML - 작심10시간! 나만의 웹사이트 기획하고 만들기
01_HTML - 작심10시간! 나만의 웹사이트 기획하고 만들기
 
Tailings dump recovery concept
Tailings dump recovery conceptTailings dump recovery concept
Tailings dump recovery concept
 
Polymer optical fibers
Polymer optical fibersPolymer optical fibers
Polymer optical fibers
 
SAP Cloud for Service
SAP Cloud for ServiceSAP Cloud for Service
SAP Cloud for Service
 
Hadoop from Hive with Stinger to Tez
Hadoop from Hive with Stinger to TezHadoop from Hive with Stinger to Tez
Hadoop from Hive with Stinger to Tez
 
GIS for Infrastructure Management
GIS for Infrastructure ManagementGIS for Infrastructure Management
GIS for Infrastructure Management
 
Real-time, Sensor-based Monitoring of Shipping Containers
Real-time, Sensor-based Monitoring of Shipping ContainersReal-time, Sensor-based Monitoring of Shipping Containers
Real-time, Sensor-based Monitoring of Shipping Containers
 
Designing your Product as a Platform
Designing your Product as a PlatformDesigning your Product as a Platform
Designing your Product as a Platform
 
Chem Lab Report (1)
Chem Lab Report (1)Chem Lab Report (1)
Chem Lab Report (1)
 
Preparing a data migration plan: A practical guide
Preparing a data migration plan: A practical guidePreparing a data migration plan: A practical guide
Preparing a data migration plan: A practical guide
 

Similar a Best practice strategies to clean up and maintain your database with Hether Ghelf

DATA SCIENCE AND BIG DATA ANALYTICSCHAPTER 2 DATA ANA.docx
DATA SCIENCE AND BIG DATA ANALYTICSCHAPTER 2 DATA ANA.docxDATA SCIENCE AND BIG DATA ANALYTICSCHAPTER 2 DATA ANA.docx
DATA SCIENCE AND BIG DATA ANALYTICSCHAPTER 2 DATA ANA.docx
randyburney60861
 
15. Brian Bailey presentation 2 DQ Asia Pacific 2010
15. Brian Bailey presentation 2 DQ Asia Pacific 201015. Brian Bailey presentation 2 DQ Asia Pacific 2010
15. Brian Bailey presentation 2 DQ Asia Pacific 2010
Brian Bailey
 
Data-Ed: Design and Manage Data Structures
Data-Ed: Design and Manage Data Structures Data-Ed: Design and Manage Data Structures
Data-Ed: Design and Manage Data Structures
Data Blueprint
 

Similar a Best practice strategies to clean up and maintain your database with Hether Ghelf (20)

Creating a Data Management Plan
Creating a Data Management PlanCreating a Data Management Plan
Creating a Data Management Plan
 
Group 2 Handling and Processing of big data.pptx
Group 2 Handling and Processing of big data.pptxGroup 2 Handling and Processing of big data.pptx
Group 2 Handling and Processing of big data.pptx
 
How to Realize Benefits from Data Management Maturity Models
How to Realize Benefits from Data Management Maturity ModelsHow to Realize Benefits from Data Management Maturity Models
How to Realize Benefits from Data Management Maturity Models
 
Choosing a new database
Choosing a new databaseChoosing a new database
Choosing a new database
 
Data managementbasics issr_20130301
Data managementbasics issr_20130301Data managementbasics issr_20130301
Data managementbasics issr_20130301
 
Data Cleaning
Data CleaningData Cleaning
Data Cleaning
 
Data Preparation.pptx
Data Preparation.pptxData Preparation.pptx
Data Preparation.pptx
 
DATA SCIENCE AND BIG DATA ANALYTICSCHAPTER 2 DATA ANA.docx
DATA SCIENCE AND BIG DATA ANALYTICSCHAPTER 2 DATA ANA.docxDATA SCIENCE AND BIG DATA ANALYTICSCHAPTER 2 DATA ANA.docx
DATA SCIENCE AND BIG DATA ANALYTICSCHAPTER 2 DATA ANA.docx
 
BDA TAE 2 (BMEB 83).pptx
BDA TAE 2 (BMEB 83).pptxBDA TAE 2 (BMEB 83).pptx
BDA TAE 2 (BMEB 83).pptx
 
DATA WRANGLING presentation.pptx
DATA WRANGLING presentation.pptxDATA WRANGLING presentation.pptx
DATA WRANGLING presentation.pptx
 
Data Preprocessing- Data Warehouse & Data Mining
Data Preprocessing- Data Warehouse & Data MiningData Preprocessing- Data Warehouse & Data Mining
Data Preprocessing- Data Warehouse & Data Mining
 
Lesson2.pptx
Lesson2.pptxLesson2.pptx
Lesson2.pptx
 
15. Brian Bailey presentation 2 DQ Asia Pacific 2010
15. Brian Bailey presentation 2 DQ Asia Pacific 201015. Brian Bailey presentation 2 DQ Asia Pacific 2010
15. Brian Bailey presentation 2 DQ Asia Pacific 2010
 
9. Data Warehousing & Mining.pptx
9. Data Warehousing & Mining.pptx9. Data Warehousing & Mining.pptx
9. Data Warehousing & Mining.pptx
 
DBMS NOTES.pdf
DBMS  NOTES.pdfDBMS  NOTES.pdf
DBMS NOTES.pdf
 
Characteristics and Advantages of Database Management System
Characteristics and Advantages of Database Management SystemCharacteristics and Advantages of Database Management System
Characteristics and Advantages of Database Management System
 
Data-Ed Webinar: Design & Manage Data Structures
Data-Ed Webinar: Design & Manage Data Structures Data-Ed Webinar: Design & Manage Data Structures
Data-Ed Webinar: Design & Manage Data Structures
 
Data-Ed: Design and Manage Data Structures
Data-Ed: Design and Manage Data Structures Data-Ed: Design and Manage Data Structures
Data-Ed: Design and Manage Data Structures
 
Applying a User-Centered Design Approach to Improve Data Use in Decision Making
Applying a User-Centered Design Approach to Improve Data Use in Decision MakingApplying a User-Centered Design Approach to Improve Data Use in Decision Making
Applying a User-Centered Design Approach to Improve Data Use in Decision Making
 
Agility for big data
Agility for big data Agility for big data
Agility for big data
 

Más de Blackbaud Pacific

Más de Blackbaud Pacific (20)

Acquiring New Regular Givers Online
Acquiring New Regular Givers OnlineAcquiring New Regular Givers Online
Acquiring New Regular Givers Online
 
Welcome to the Cloud
Welcome to the CloudWelcome to the Cloud
Welcome to the Cloud
 
Embracing Technology to Measure Outcomes
Embracing Technology to Measure OutcomesEmbracing Technology to Measure Outcomes
Embracing Technology to Measure Outcomes
 
Building Better Relationships: It's all about that base
Building Better Relationships: It's all about that baseBuilding Better Relationships: It's all about that base
Building Better Relationships: It's all about that base
 
How to Choose The Right Fundraising Software for your Not for Profit
How to Choose The Right Fundraising Software for your Not for ProfitHow to Choose The Right Fundraising Software for your Not for Profit
How to Choose The Right Fundraising Software for your Not for Profit
 
Addressing the Risks & Opportunities of Implementing an Outcomes Based Strategy
Addressing the Risks & Opportunities of Implementing an Outcomes Based Strategy Addressing the Risks & Opportunities of Implementing an Outcomes Based Strategy
Addressing the Risks & Opportunities of Implementing an Outcomes Based Strategy
 
Stewardship or Donor Relations – Making it all come together with Amanda Stanes
Stewardship or Donor Relations – Making it all come together with Amanda StanesStewardship or Donor Relations – Making it all come together with Amanda Stanes
Stewardship or Donor Relations – Making it all come together with Amanda Stanes
 
Using Performance Data: Communicating Your Impact
Using Performance Data: Communicating Your ImpactUsing Performance Data: Communicating Your Impact
Using Performance Data: Communicating Your Impact
 
Is your fundraising strategic or ad-hoc?
Is your fundraising strategic or ad-hoc?Is your fundraising strategic or ad-hoc?
Is your fundraising strategic or ad-hoc?
 
How to select the right database to empower your fundraising
How to select the right database to empower your fundraisingHow to select the right database to empower your fundraising
How to select the right database to empower your fundraising
 
Making Mobile Matter: How to be a Tinder NFP presented by Nick Allen
Making Mobile Matter: How to be a Tinder NFP presented by Nick AllenMaking Mobile Matter: How to be a Tinder NFP presented by Nick Allen
Making Mobile Matter: How to be a Tinder NFP presented by Nick Allen
 
How to ensure successful leadership and capacity building in your organisatio...
How to ensure successful leadership and capacity building in your organisatio...How to ensure successful leadership and capacity building in your organisatio...
How to ensure successful leadership and capacity building in your organisatio...
 
How to Use Your Database to Power Your Fundraising - FINZ 2014 Presentation
How to Use Your Database to Power Your Fundraising - FINZ 2014 PresentationHow to Use Your Database to Power Your Fundraising - FINZ 2014 Presentation
How to Use Your Database to Power Your Fundraising - FINZ 2014 Presentation
 
Separating fact from fiction, the true benefits of testing with Mark Stewart,...
Separating fact from fiction, the true benefits of testing with Mark Stewart,...Separating fact from fiction, the true benefits of testing with Mark Stewart,...
Separating fact from fiction, the true benefits of testing with Mark Stewart,...
 
Building Your Community with Blackbaud NetCommunity; Making Your Site Audienc...
Building Your Community with Blackbaud NetCommunity; Making Your Site Audienc...Building Your Community with Blackbaud NetCommunity; Making Your Site Audienc...
Building Your Community with Blackbaud NetCommunity; Making Your Site Audienc...
 
Email Marketing with Blackbaud NetCommunity- Boot Camp Series
Email Marketing with Blackbaud NetCommunity-  Boot Camp SeriesEmail Marketing with Blackbaud NetCommunity-  Boot Camp Series
Email Marketing with Blackbaud NetCommunity- Boot Camp Series
 
The A to Z of Sending a Targeted Appeal with Blackbaud NetCommunity - BBNC Bo...
The A to Z of Sending a Targeted Appeal with Blackbaud NetCommunity - BBNC Bo...The A to Z of Sending a Targeted Appeal with Blackbaud NetCommunity - BBNC Bo...
The A to Z of Sending a Targeted Appeal with Blackbaud NetCommunity - BBNC Bo...
 
Analytics and Analysis with Blackbaud NetCommunity - Boot Camp Series
Analytics and Analysis with Blackbaud NetCommunity - Boot Camp SeriesAnalytics and Analysis with Blackbaud NetCommunity - Boot Camp Series
Analytics and Analysis with Blackbaud NetCommunity - Boot Camp Series
 
Mobile Optimisation with Blackbaud NetCommunity - Boot Camp Series
Mobile Optimisation with Blackbaud NetCommunity - Boot Camp SeriesMobile Optimisation with Blackbaud NetCommunity - Boot Camp Series
Mobile Optimisation with Blackbaud NetCommunity - Boot Camp Series
 
Developing effective partnerships with the corporate sector with Annette Hosk...
Developing effective partnerships with the corporate sector with Annette Hosk...Developing effective partnerships with the corporate sector with Annette Hosk...
Developing effective partnerships with the corporate sector with Annette Hosk...
 

Último

+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Último (20)

Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
 
Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
 
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering Developers
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 

Best practice strategies to clean up and maintain your database with Hether Ghelf

  • 1. Best Practice Strategies to Clean up and Maintain Your Database Hether Ghelf Senior Consultant, Project Manager & Data Hygiene Lead 22/03/2013 1
  • 2. GARBAGE IN, GARBAGE OUT • Bad inputs make bad outputs • In lead generation and overall marketing, a piece of information is considered “garbage” if it doesn’t contribute positively to the campaign. • If you’ve got misleading, inaccurate, or incomplete data, then you’ve got garbage on your hands. 22/03/2013 2
  • 3. CHALLENGES & REASONS FOR MESSY DATA Staffing Issues • Do you have a high data entry staff turnover? • Are you stretching existing resources a long way? 22/03/2013 3
  • 4. CHALLENGES & REASONS FOR MESSY DATA Limited Time / Budget • Do you struggle finding the time or money for proper database training for your employees? 22/03/2013 4
  • 5. CHALLENGES & REASONS FOR MESSY DATA Merges and conversions within your databases • Have you recently merged 2+ databases? - Were duplicate records, codes, attributes taken care prior to the merge? • Did you convert from one database to another? - Were pre-conversion clean up activities and post conversion clean up activities scheduled? Converting from one database to another is a huge task and shouldn’t be taken lightly! 22/03/2013 5
  • 6. CHALLENGES & REASONS FOR MESSY DATA Using external sources • Do you bring in data from 3rd party vendors or external lists? • Have you ensured the data is formatted to fit your data file prior to importing? 22/03/2013 6
  • 7. CHALLENGES & REASONS FOR MESSY DATA Documentation for Policy and Procedures • Are your policy and procedures documents non existent or out-dated? • Does your organisation have a Data Entry Standards (DES) document to assist with “how to” properly enter data? A policy and procedures document and DES are two of the top documents organisations should have! 22/03/2013 7
  • 8. CHALLENGES & REASONS FOR MESSY DATA Resistance to change • Have you stopped to ask why you enter in data the way you do? • Do you have multiple people entering data different ways? 22/03/2013 8
  • 9. WHERE TO START - STEPS TO TAKE 1. Receive support from the top down 2. Audit/Assessment 3. Areas & Issues Identified - create a clean up plan/strategy - start with the most important areas 4. Begin Data Cleansing 5. Ask for Help 6. Be Proactive – fill in the gaps 7. Maintain Your Database 22/03/2013 9
  • 10. STEP 1 – RECEIVE SUPPORT FROM THE TOP DOWN • CEO • Executive Committee • Fundraising Manager • Fundraising Staff • Program & Other Department Staff • Data Entry Staff • Volunteers 22/03/2013 10
  • 11. STEP 2 - AUDIT/ASSESSMENT Review your database structure • Codes, Attributes, Notes, Gift info, Reports, User Access, Process • EVERYTHING! Create initial queries/groupings 22/03/2013 11
  • 12. STEP 2 - AUDIT/ASSESSMENT • Examples of groupings/queries: - Formatting of title, first name, middle name, surname, suffix, address lines, suburb, state, postcode, gender - Blank fields in all of the above - Where there’s a spouse but the primary addressee and salutations are singular - If marked deceased, is the spouse still receiving the mailings; if yes, how are they being addressed? Is it still Mr & Mrs? Correct the record so you don’t offend anyone - Marked as do not solicit, do not call but have been sent a recent appeal or called during a recent calling campaign - Missing Constituent Codes, Solicit Codes, Attributes - Review code tables or drop down menu selections regularly and eliminate duplicates or misspellings, especially after data has just been imported into the database - Return to sender mail – mark as invalid address, don’t just throw it away 22/03/2013 12
  • 13. STEP 2 - AUDIT/ASSESSMENT • Examples of groupings/queries continued… - Male title/female or unknown gender - Female title/male or unknown gender - Title Ms, Mrs, Miss and unknown gender - Blank spouse or contact title - Marital status with deceased spouse - Single with spouse - Gifts with a blank campaign, appeal, letter code, etc - Gifts not receipted or acknowledged 22/03/2013 13
  • 14. STEP 2 - AUDIT/ASSESSMENT • Other areas to consider reviewing/updating: - Required fields - Security Groups and/or User Access - Existing reports, queries/groupings and exports - Duplicate records – find and merge 22/03/2013 14
  • 15. STEP 2 – AUDIT/ASSESSMENT Start talking! • Have you asked for input from staff/departments who obtain information from the database? Or from those who input data? 22/03/2013 15
  • 16. STEP 3 – AREAS & ISSUES IDENTIFIED • Review and fine-tune the queries/groupings you created in Step 2 • Review notes from talking with staff/departments 22/03/2013 16
  • 17. STEP 3 – AREAS & ISSUES IDENTIFIED • Create a Clean Up Plan/Strategy and goals 22/03/2013 17
  • 18. STEP 4 – DATA CLEANSING Start Data Cleansing! Before making any changes to be sure to back up your database! 22/03/2013 18
  • 19. STEP 5 – ASK FOR HELP Ask for help Internally • Knowledgeable staff within your organisation And for help externally if needed • Consultants or technical experts to run database audits • Blackbaud Data Hygiene Services 22/03/2013 19
  • 20. STEP 6 – BE PROACTIVE Be Proactive Be Proactive Be Proactive 22/03/2013 20
  • 21. STEP 7: MAINTAIN YOUR DATABASE After you have spent time, energy and money cleansing your database, put steps in place to maintain it! 22/03/2013 21
  • 22. STEP 7 - MAINTAINING YOUR DATABASE Assign roles within your organisation • Database Administrator (DBA) and/or Super User is a must • Set their primary responsibility to keeping your database clean and maintained Have a back up! • Have a back up DBA that can step up in case your primary DBA is out sick or leaves the organisation 22/03/2013 22
  • 23. STEP 7 - MAINTAINING YOUR DATABASE Update (or create) those important documents! • Policies and Procedures • Data Entry Standards (DES) document 22/03/2013 23
  • 24. STEP 7 - MAINTAINING YOUR DATABASE Example of Policy & Procedures document: 22/03/2013 24
  • 25. STEP 7 - MAINTAINING YOUR DATABASE Example of Data Entry Standards document: 22/03/2013 25
  • 26. STEP 7 - MAINTAINING YOUR DATABASE Keep your staff in the know! • Train new and existing staff in system functionality • Provide refresher training to staff on a regular basis (quarterly) • Hold regular data entry staff meetings (weekly/bi-weekly) 22/03/2013 26
  • 27. STEP 7 - MAINTAINING YOUR DATABASE Look AND Listen • Check new staff’s data entry – help them become comfortable with how they should be entering data • Talk to your staff - ask what staff like doing in the database and what they don’t 22/03/2013 27
  • 28. STEP 7 - MAINTAINING YOUR DATABASE Be prepared for upcoming campaigns Calling Campaigns: • Request staff or volunteers to verify name, address, email, mobile • Create a template for entering the new/updated information 22/03/2013 28
  • 29. STEP 7 - MAINTAINING YOUR DATABASE Mailing Campaigns: • Check your queries/groupings to ensure they have the correct criteria • Run your addresses through a data hygiene service or Australia Post one or twice a year 22/03/2013 29
  • 30. STEP 7 - MAINTAINING YOUR DATABASE Always continue auditing and cleaning up your database And never stop searching for areas of improvement Once your database is at a manageable state, it will be easier to maintain! 22/03/2013 30
  • 31. TAKE AWAYS 1. Your database is key to your fundraising 2. Remember… garbage in, garbage out 3. Get started – don’t keep delaying the inevitable 4. MAINTAIN YOUR DATABASE 5. Ask for HELP 22/03/2013 31
  • 32. HOW BLACKBAUD CAN HELP • Blackbaud’s Consulting Services Department can assist you with your database clean up, creation of your Policy & Procedures document and Data Entry Standards document. • Blackbaud’s Data Hygiene Services include: – Address append and verification – Phone append and verification for telemarketing and other contact purposes – Deduplication – Provides deep insight into your existing data – Offers data elements to enhance your data to create a richer asset for your organisation 22/03/2013 32
  • 33. THANK YOU! Questions? 22/03/2013 33