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How Fit Is Your Data?
A Quick Guide to Evaluating
Your Data Fitness
Businesses rely on data more than ever
before, making it even more important to
keep your systems healthy and fit.
Or you’ll be at risk
when the go-to-person
on your team wins the
lottery and heads off to
a tropical island.
Keys to Evaluating
Your Data Fitness
User
Quality
Performance
Reliability
To measure your Data
Fitness, look at your
quality, reliability, and
performance
Reliability
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.
Make sure your data is
available when you need
it, even when something
goes wrong.
Save yourself problems later by
documenting and testing
backups.
Don't wait for an emergency to
see if your systems work.
Control Documents:
High Availability:
Security:
What To Look For:
Documented Processes
Tested Processes
Vendor contracts
Scheduled outages
Recovery processes
Configuration
Logging
Quality
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.
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?
Performance
Performance depends on
two factors:
Network Saturation
System Utilization
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.
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.
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.
Evaluating these different
elements will help you
determine your overall data
fitness.
Curious about CQL?
LearnMore

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How Fit is Your Data?