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As a means of improving
the quality and consistency of data collections submitted
to federal programs (e.g., No Child Left Behind, Common
Core of Data), Certica provides state agencies with
a solution which enables local agencies to take a
more pro-active role in validating their district-level
data submissions. This cooperation between school
districts and state education agencies results in:
- More comprehensive, flexible and better-understood
data validation rules.
- Improved communication and feedback between state
and district agencies.
- Shortened cycle time for error identification,
correction and submission.
- Reduced burden on both state and local agencies.
- Measurably higher levels of quality in state data
submitted to the U.S. Department of Education’s
EDEN repository.
Until recently, it has been impractical for school
districts to effectively validate their own data before
submitting it to state agencies. Ad-hoc queries or
hard-coded validations lack the rigor and flexibility
needed to achieve significant and lasting improvements
in quality. Further, many school districts have inadequate
resources to clean up data in the time windows prescribed
by the state.
Certica’s approach to data validation, monitoring
and reporting is highly automated, executing real-time,
inline, rules-based validations against district and
state-level data. Now, states can automatically validate
incoming data, send email notifications and online
data quality
report cards to the districts, allowing them to
review and correct errors quickly.
Whereas state agencies once faced a trade-off between
timeliness and accuracy in their receipt of local
data, Certica’s solution enables states to collect
better data–faster.
- Define business rules to ensure the consistency
and integrity of data across 180 New Hampshire school
districts.
- Pinpoint data errors so they can be reviewed and
corrected by district-level administrators.
- Ensure the integrity of unique student identifiers
by validating student records before they are assigned
an ID.
- Shorten the timeframe for data collection, validation
and clean-up.
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