How Fit is Your Data?
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This document provides a quick guide to evaluating data fitness by looking at user quality, reliability, and performance. It discusses factors for each such as accuracy, cleanliness, and timeliness for quality; backup processes, recovery time, availability, and security for reliability; and network saturation and system utilization for performance. The document recommends documenting processes, testing backups, and monitoring response times, space usage, and system efficiency to evaluate different elements of data fitness.
How Fit is Your Data?
- 1. How Fit Is Your Data? A Quick Guide to Evaluating Your Data Fitness
- 2. Businesses rely on data more than ever before, making it even more important to keep your systems healthy and fit.
- 3. Or you’ll be at risk when the go-to-person on your team wins the lottery and heads off to a tropical island.
- 4. Keys to Evaluating Your Data Fitness
- 5. User Quality Performance Reliability To measure your Data Fitness, look at your quality, reliability, and performance
- 6. Reliability
- 7. Reliabilitydependsonfour factors: Backup: Document and test everything. Recovery: How much can you afford to lose? Availability: Are outages "okay?" Security: Crucial for every size business.
- 8. Make sure your data is available when you need it, even when something goes wrong.
- 9. Save yourself problems later by documenting and testing backups. Don't wait for an emergency to see if your systems work.
- 10. Control Documents: High Availability: Security: What To Look For: Documented Processes Tested Processes Vendor contracts Scheduled outages Recovery processes Configuration Logging
- 11. Quality
- 12. Quality depends on three factors: Accuracy: Calculations produce the same results when different systems are used to generate the data. Cleanliness: Consistency between internal and external data entry (i.e. Michigan, MI, Mich) Timeliness: How long from data entry until action is needed.
- 13. What To Look For: Where can you improve your data entry? How clean is your internal/external data input? Where can those be improved? Are your MDS (Minimum Data Set) / DQS (Data Query System) systems working correctly?
- 14. Performance
- 15. Performance depends on two factors: Network Saturation System Utilization
- 16. Network Saturation: Like a traffic jam on a highway when all lanes are filled with cars and going very slow. Or when people are trying to leave a stadium. There might be 10 gates and 2,000 people all trying to push through.
- 17. System Utilization: The overall usage or health of a server/workstation (CPU, RAM, HHD, bandwidth, users, connections, etc). When all those items get close to 90-100%, you get network saturation.
- 18. What To Look For: How efficiently are you using your systems? How much space are you taking up on your network? Response time for internal, external, and reporting users.
- 19. Evaluating these different elements will help you determine your overall data fitness.