best practices: creating and maintaining a clean database
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TRANSCRIPT
- 1. Best Practices: Creating and Maintaining a Clean Database
2. Welcome! Introductions and Overview of Todays Session
- Experian QAS reviews best practices for creating and maintaining a clean database
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- Todays speakers:
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- Erin Haselkorn
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- Marketing Program Specialist, Experian QAS
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- Jenny Sharpe
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- Marketing Program Specialist, Experian QAS
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- Steps to obtaining and retaining good contact data
3. Why is contact data management important?
- Improve communications and increase responses
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- Ability to market, cross-sell
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- Timely delivery of products and services
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- Bill collection
- Reduce unnecessary costs
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- Wasted printing and postage expenses
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- Efficiency of call center personnel, back-office staff
- Enhance customer service
The right contact data + the right follow up =Improved customer & prospect relationships 4.
- Step 1:Understand your data
- Step 2:Clean existing data
- Step 3:Remove duplicate records
- Step 4:Enhance and update data
- Step 5:Verify data during all capture processes
- Step 6:Continue to enhance, update, and learn
Steps to Clean and Maintain a Clean Database 5. Step 1: Understand your data
- Key questions every organization should ask:
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- Where does the data come from?
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- Who enters it (customers or staff)?
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- Do they want to get it right?
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- How is it formatted?
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- What, if any, controls are in place?
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- Required fields
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- Data entry training
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- Performance metrics
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6. Step 1: Understand your data Build a Data Spider Multi- Channel Retailer Web/Online Call Center Mail/Fax Stores Fulfillment Marketing Customer Service Finance 7. Step 1: Understand your data Outline the Challenges of Data Capture
- Web/Online
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- People arent paying attention
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- Typos
- Call Center
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- Misinterpret what a customer is saying
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- Fat-fingering
- Mail/Fax (Manual Entry)
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- Poor handwriting
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- Incomplete information
- Stores
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- High pressure environment
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- Customers unwilling to provide contact details
8. Step 2: Clean existing data
- Review Your Data
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- Dont be afraid to get your hands dirty, manually review records to see how it actually looks
- Audit Completeness
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- Completeness dictates if fields need to be filled in via appending
- Clean and Standardize
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- Leverage 3 rdparty data as well as your own
- Dont Underestimate Addresses
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- Its one of the strongest pieces of data you have
- This is the traditional scrubbing, batching or old school cleaning
9. Step 3: Remove duplicate records Can you merge first?
- If possible, merge records into a centralized master file
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- Results in a singular view of the customer
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- You can better understand and segment your data
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- Economies of scale on de-dupe, append and enhance
- BUT This isnt always an option as it depends on infrastructure
10. Step 3: Merge and/or de-dupe records
- Decide what elements to match on
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- Matching elements determine where duplicates can be found
- Use a tool with fuzzy or flex matching
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- This allows for a greater match rate
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- Helps to find duplicate records that may not have been identified with more rigid matching
Match Type Example Address/Household Physical + Name or Email PhoneticDougherty = Dorty Acronym National Broadcasting Company = NBC Character Occurrence Wilson = Wislon Table-based William = Bill = Will = Billy Element Matching Mr. J. Smith = John Smith = Smith John Custom Field Shoe Size, SSN, Customer Number 11. Step 4: Enhance and update data
- 75% of organizations use at least one data enhancement set(Source: Dynamic Markets Limited, January 2009)
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- Perform NCOA Linkprocessing
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- USPS processes over 43 million permanent Change of Address (COA) orders each year
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- 15% of Americans and 19% of business move annually
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- Append geo-demographic data including:
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- Geographical information
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- Latitude/longitude coordinates
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- Cross sell ability
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- Risk
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- Lifestyle
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- Segment your file increase your ability to target customers
12. Step 5: Verify data during all capture processes
- Know where your data is being collected and entered
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- Point of sale
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- Website
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- Call center
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- Paper forms
- Set expectations
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- Have a standardized process in place so that all information is being captured in the same way
- Verify against a reputable third party source
13. No Verification or Cleansing Interactive version atwww.qas.com/home 14. Post-Capture Cleansing Only Interactive version atwww.qas.com/home 15. Cleansing and Verification at One Capture Point Interactive version atwww.qas.com/home 16. Cleansing and Verification at Some Capture Points Interactive version atwww.qas.com/home 17. Cleansing and Verification at all Capture Points Interactive version atwww.qas.com/home 18. Step 6: Continue the cycle - enhance, update, andlearn
- Data changes constantly and needs regular check-ups
- Continuous database maintenance allows for:
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- Better assessment of the quality of data after each strategy is implemented
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- Ensuring that old data is refreshed and continues to perform for future campaigns
19. QAS Products & services Real-time verification Clean & enhance
- Clean
- QAS Batch (PC Based)
- QAS Bulk Processing(Web Based)
- Phone & Email Batch (Service)
- Enhance
- QAS Unify(PC Based)
- NCOA Link(Service)
- Address
- QAS Pro (PC Based)
- QAS Pro On Demand(Software as a Service)
- QAS Pro Web (Web Based)
- QAS Pro API(Integration Toolkit)
- Phone and Email
- QAS Phone (Service)
- QAS Email (Service)
20. 21. Please visitwww.qas.comfor more information.