| Home > Services > Data Management Services > Customer Data Integration |
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| Customer Data Integration |
CDI is commonly described as a set of processes & technologies for recognizing a customer & its relationships at any touch-point while aggregating, managing & harmonizing accurate, up-to-date knowledge about that customer to deliver it ‘just in time’ in an actionable form to enable effective touch-points. |
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Effective CDI programs support the global identification, linking and synchronization of customer information across heterogeneous data sources through frequent reconciliation of internal stores against reference data [internal and external trusted sources], creates and manages a centralized database-based system of record, enables the delivery of a single customer view (for all stakeholders), and supports optimized customer data quality via disciplined methodology, monitoring and resolution activities. An effective CDI program further supports and enables a larger-scale MDM effort as it addresses the data alignment requirements specifically within the customer domain. |
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Key Benefits of CDI |
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Annik’s CDI Solutions |
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Annik is a proven leader in providing key support within CDI initiatives – improving the quality of the source customer data systems, assisting with the enhancement of these assets with external data, converge and integrate into a single store, enabling an accurate and unified single view of the customer.
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Annik’s Data Quality and Governance [DqG™] solutions further enable improved effectiveness and ROI within your CDI initiatives by ensuring valuable data quality gains across customer, marketing, and service application domains.
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- Highly-optimized processes including manual resolution of exceptions and unmatched entities borne out of the automated processes – creating more “business-ready” data and enhancing the effectiveness and value of your customer data.
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- Annik works in harmony with commercial data quality tools, CDI & MDM hub technologies, trusted data sources [Dun & Bradstreet, Acxiom, InfoUSA, Experian, etc], data governance processes, our custom tools and skilled data analysts, and your business rules in order to resolve exceptions and improve the quality and effectiveness of data assets within your product, financial, supply chain, and customer information management systems.
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