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Technology Data processing
in the LIM back-office consists of a set of linked process stages which
capture, archive, analyze, validate and deliver data from over 175 world wide
information sources. Inherent in this
process is an elaborate range of automated and manual data checks which help
insure the information is delivered both timely and accurate. Additionally, each and every MIM database is
monitored remotely in real-time for processing and system problems. Processing
Twenty
years of persistent technological problem solving and development have molded
the proprietary LIM data management process into what it is today. LIM extracts information from numerous
sources, in numerous formats, and then parses and normalizes that data into a
central ORACLE 10g data store. Every
original file is archived and every data value is logged and qualified
producing a real historical audit of data and corrections. Each stage of the process is monitored in
real-time by a highly trained staff of data analysts who respond to problems using
an automated CRM system. Cleaning
Alarms are
triggered when expected data files are late and any new data files are
automatically scanned for broad inconsistencies and content malformation. Each time new data is exported to a client
MIM database it is dynamically scanned by a set of characteristic-based data
cleaning filters for irregularities.
Currently, LIM employs over 600 data cleaning filters. When suspect data values are located, a CRM
ticket is generated automatically and assigned to a LIM data analyst for
immediate review. Internally, the LIM
Data Operations staff utilizes a Six Sigma approach for effective process
analysis and improvement. Monitoring
LIM is a
service oriented company who keeps constant watch over every MIM database. Each time a client MIM processes new data,
that MIM sends a message to our headquarters in Measuring The LIM Data
Operations Team utilizes a Six Sigma approach for defining, analyzing, and
managing data source and process problems. Each phase of data processing
and filtering equates to an opportunity to accurately deliver data in a timely
manner. Each time a measurement point in the data process generates an
exception our integrated proprietary CRM system generates a ticket. Each
ticket is investigated for action requirements by a data analyst and all
actions, ticket statistics and notes are logged and archived. On a weekly
basis we generate a granular statistical report of our archived and current
tickets which is thoroughly reviewed to diagnose opportunities for better
process management. The reports generate a Six Sigma level for the
process as a whole each week. Currently with more than 180 data vendors,
including all quality filters, vendor based problems, down time, and LIM
generated issues, we have an average open to close time of less than 2 hours
for individual tickets. Summary
With an
innovative approach to processing, cleaning, and error monitoring, LIM provides
a full service back-office data solution.
In addition to core services, LIM offers highly customizable features
for informed clients. Our data
management tools can provide endless variations of data intelligence, from
correction notifications to advanced data filtering and calculations, to
clients on demand. The LIM data cleaning
layer has the ability to send suspect data notifications to both clients and
vendors the moment inconsistencies are located.
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