The financial services industry not only faces increasing regulation, requiring them to tightly manage customer and financial information, but also growing competition from new entrants with attractive opening offers aimed at securing a toe-hold in the market place. Progressive companies are using data to gain competitive advantage, by integrating information from disparate systems to gain a complete understanding of their customers, increase customer satisfaction & retention and maximize the value of their relationships. Datanomic's solutions deliver a rapid return on investment and reduce risk by shortening the time to value and capitalizing on industry knowledge and best practices.
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Sanctions & PEP Screening
MLROs are faced with ever-increasing KYC challenges. Datanomic's solution enables organizations to accurately screen their entire customer base and maintain control over their own data. It can scale from a few thousand records to many millions and can be deployed in weeks instead of months, enabling regular screening without undue burden.
Datanomic's solution enables you to reduce crime and minimize your regulatory and reputational risk.
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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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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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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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Financial Services Case Studies
Learn how Financial Services organizations have gained a rapid return by implementing a Datanomic Solution.
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Basel II Data Quality
Basel II requires financial institutions to put appropriate models and controls in place to measure and manage risk, but the quality of the data used in any model is critical to its performance. Datanomic’s solution can be bought as a software product and implemented in-house, or deployed by a qualified consultant to audit and improve the quality of the data that underlies your risk management operations.
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