Home | Data Quality Solutions | Customer Data Quality
Data is often generated and entered in multiple locations throughout an organisation and held in discrete, incompatible systems. This disjointed data structure can prevent organisations from being able to gain valuable insight into their operation, including:
• understanding the true value of each customer and the cross-selling sales opportunities that exist
• calculating financial risk exposure across all product and service lines
• fully assessing the inclusive cost of product manufacturing and supply
• identifying fraud within customer/citizen claimants
• compiling accurate maintenance plans for all assets
• analysing total cost of ownership of plant and machinery
• producing consolidated patient care records for effective care management
Datanomic’s dn:Director is an easy-to-use data enhancement tool which allows line-of-business managers (the actual owners of the data) to themselves combine and merge data resources, automatically resolving inconsistencies of format or taxonomy, highlighting gaps or errors in the data, and ultimately enabling them to generate a reliable ‘Single View of the Truth’ against which accurate analysis can be performed.
Customer Data Quality
Datanomic Customer Information Quality Assessment
Datanomic can provide you with a quick start ‘Customer Information Quality Assessment’ consultancy project…
dn:Director for Customer Insight
dn:Director validates your customer data and maintains constant data quality by working at the point of data entry…
dn:Director for Customer Data Migration
When migrating customer data to a new or existing application, it’s hard to see beyond the technical issues at hand…
The 3 Minute Guide to Matching Customer Data Video
Your data is more than just data. Your data is your customers. Make sure you really know them well…
Data Migration in the Telecoms Sector
Our customer is a leading provider of data, voice and managed services to business and government customers in Europe, employing over 4,000 people working in 13 countries across Europe. It needed to radically improve the quality of its customer data.
Data Migration in the NHS
Our client is a NHS body responsible for health services to more than 220,000 residents. Their requirement was to ensure that its data conforms to pre-defined specifications, which means only accurate, complete and fit for purpose data is acceptable.
