It is impossible to fully understand the value of a relationship with any customer if information is fragmented across different systems; a situation that can be exacerbated following a merger or acquisition. Datanomic's solutions enable organizations to develop and maintain a single view of customers by bringing together data from disparate systems to create a complete and coherent picture of existing customer relationships that can be used to maximize the value to both parties.
Customer Information Quality Assessment
You can only fully understand the value of the relationship you have with your customers if you have complete and accurate data about them. Poor quality data often leads to poor decisions, poor customer service and poorly targeted campaigns. A Customer Information Quality Assessment (C-IQA) provides an objective measure of how fit for purpose your customer data is, identifies key targets for improvement and highlights the benefits to be gained.
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Customer Data Migration
When migrating data to a new or existing system, IT personnel often understandably restrict their remit to ensuring technical migration success - moving the data and preserving basic data integrity. However, the true success of a data migration project can only be measured against business goals. This means that the data must not simply 'fit' in a technical sense, but must also be fit for all its new and existing purposes. The source data must therefore be fully understood, validated, improved and re-validated before migration, using transparent rules that check it against the business needs of the data in the new system.
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Customer Information Quality Protection
Our client, a major international professional services organization, has a reputation for efficiency and capability. By integrating Datanomic software with its Siebel CRM system to identify erroneous or duplicated customer information, it protects one of its most important assets and its reputation.
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Customer Data Deduplication
The costs of duplicate customer or contact records can be significant; including staff costs to fix records manually, wasted marketing materials and postage, missed customer sales and development opportunities, bad reporting, poor external communication, and the loss of the confidence of customers and business contacts in your business, and ultimately the loss of customers.
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Customer Information Quality Control
Traditionally, data analysis and improvement has been conducted by IT staff or a dedicated data department, with the key decision makers having little or no visibility of the current quality of information in their systems, or the success or otherwise of data improvement initiatives. With Datanomic products, it is simple to report on information quality and share the results across the enterprise.
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