SEAMLESS is C&C Group’s best of breed customer and address data cleansing, enhancement standardisation, matching, de-duplicating and demerging algorithms and matching routines. The sophisticated data quality management algorithms and matching routines have been developed and enhanced over a 15 year period, delivering proven, consistently better and more accurate results than competitors. SEAMLESS has been independently bench marked on a number of occasions against its competitors and never lost! |
SEAMLESS can be delivered as:
SEAMLESS as embedded closed-loop real time function within an application: Embed SEAMLESS within your application to deliver real time monitoring, matching, duplication prevention and correction of data. The service orientated architecture used by SEAMLESS supports the deployment of sophisticated data quality functionality within your 'business as usual' data channels. SEAMLESS as a full product: An enterprise application with administration user interfaces, allowing you to tune the sophisticated SEAMLESS algorithms and matching routines for multiple datasets within your organisation. Enterprise web services make the data integration layer simple to deploy within CRM and ERP solutions. Options include simple look-up services to reduce data entry duplication through to sophisticated master data integration capabilities used to create and support data firewalls where data is cleansed en route to its end-destination repository. SEAMLESS as a bureau service: C&C Group operates a data matching service bureau, which makes use of the full SEAMLESS technology. We can offer a full service where we extract your data and put it back again, creating a repeatable process, which you can employ periodically to ensure your data remains high quality. SEAMLESS as the data bridge: C&C Group takes data from multiple data sources containing similar data and creates a master data set with a key matrix joining the data across disparate data sets. We match the data using SEAMLESS, create the master database within web service supported service orientated architecture, and make the results available via web service or in a format to meet your requirements. This allows you to bridge your data with no internal investment of effort or resources; you simply subscribe to our master data service. SEAMLESS makes use of multiple external reference data sources including:
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Efficient processes rely upon accurate, up-to-date and consistent data. This is of paramount importance to all processes which use customer name and address data, regardless of whether the contact in inbound or outbound, communications medium and business requirement. CRM, CLM, ERP, and BI implementations rely on high quality data to deliver operational excellence and competitive advantage. Non-standard, inaccurate, poor quality data means the benefits of expensive software cannot be realised. Benefits of enhanced customer and address data quality include:
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SEAMLESS example deployments: SEAMLESS is used by a number of global pharmaceutical companies within their sales and marketing organisations to create competitive advantage over rivals. Product co-promotion, contract sales force partnerships, data migrations, and data integrations are all examples where SEAMLESS is helping companies realise the benefits of master data integration when faced with fragmented customer data. SEAMLESS has been deployed within Siebel, salesforce.com, SAP, and Oracle to guarantee high standards of data quality. SEAMLESS is used widely in the utility industry to maintain high standards of customer and address quality in their enterprise systems. Multiple data sets in scenarios such as dual fuel billing are being integrated using SEAMLESS to improve customer service and reporting accuracy. SEAMLESS is used globally by several high tech companies as an embedded master data integration software suite. Customer data and master data integration is proving the bedrock of information management and business intelligence programmes. SEAMLESS is open, transparent, auditable, and tuneable. Master data administrators are able to view composite data in real-time as it is processed, unlike many black-box solutions where processing is obfuscated and results are not predictive. SEAMLESS example results:
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