COLLECT
COLLECT is the first step towards actionable intelligence
Collection is the first key step in the process of transforming
your spend and vendor data into actionable intelligence that is
complete, accurate and fit-for-purpose.
Rapid collection with minimal effort
To support timely collection of the raw financial data with
minimum effort on your part we provide you with a documented data
extraction specification and practical advice, guidance and support
designed specifically to ensure that your raw payables, purchase
order or purchase card data is accurately extracted.
Getting it right from the outset
Getting it right at collection stage of the process directly
impacts the quality, robustness and reliability of the end result
which us why we pay particular attention to ensuring that the
extracted data is scrutinised for errors, omissions and other
anomalies.
Extensive and highly specialised experience
We have processed 1,000's of public sector datasets and the
benefit of that experience has been captured in the proprietary
technology developed to manage the data transformation process.
Advanced process management infrastructure
A critical component of our process management infrastructure is
an application referred to internally as Sequence. Sequence uses
advanced data management techniques to isolate and analyse hundreds
of errors and issues with the delivered data.
Some of the more common issues identified by Sequence
include:
- More than one vendor name exists for the same vendor key
- Vendor records exist with no vendor name
- Transactions exist with no related vendor records
- The same postcode is repeated in ten or more vendor
addresses
- Incidences of duplicate net spend rows exist in
transactions
- Included out of scope spend
- More than 12 months of spending were found in transactions
- High probability of payments to individuals
Rapid resolution of critical errors and omissions
One of the numerous outputs generated by Sequence is the Data
Fitness Report that explains the impact and location of each error
or omission so that they can be quickly resolved. Sign-off of the
Data Fitness Report is an important milestone in the data
transformation process as from that point forward there is no call
on your staff until the data transformation process is complete and
we're ready to deploy the Observatory.