Telecoms and Utilities

Integrate enterprise data, protect investment

In a highly competitive and dynamic market, it is essential to have reliable and consistent information shared across billing, supply and customer service systems. Datanomic's dn:Director enables the creation of a single customer view by integrating data from different channels: self-service (Web) interfaces, back-office applications, billing systems, call centres and sales force automation. Uniquely, dn:Director can easily identify and handle the challenges of street furniture and non-postal addresses that other systems ignore.

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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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Supply Chain Data Management

By using Datanomic's software to improve the quality of data received from its suppliers, AMEC has an integrated view of every component used in the construction of its oil platforms; supporting maintenance, safety and insurance.
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Data Migration

By enabling a major US Telco to understand and address data quality issues, Datanomic ensured that a multi-million dollar data migration was completed on time and to budget.
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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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Data Quality: The Key to Successful Business Intelligence

Business Intelligence (BI) tools are only as good as the data they access. Despite the popularity of BI tools, many companies are still ignoring the fact that analytical applications are particularly sensitive to data quality problems. Poor quality data undermines the integrity of the tools and may lead to erroneous decisions based on inaccurate data, with potentially disastrous results that significantly reduce the return on investment.
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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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SAP Data Migration

When planning to migrate ERP data, organizations should ensure that the data is 'fit for purpose' in the new system.
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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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