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	Smarter CDI: 2 Methodologies that Strengthen Results while Slashing Integration Time and Costs Customer data integration is a critical step in a variety of business initiatives — from mergers and acquisitions to building a customer-centric data warehouse. Yet it is also one of the riskiest. Even after decades of experience and tens of millions of dollars invested in software, it has been estimated that 80% of data integrations fail or run substantially over schedule and/or budget. In this white paper we will examine two strategies in relation to traditional data integration approaches and see how they impact the duration of the project, overall costs and demands on organizational resources and infrastructure.

	Planning for Successful M&A Data Integration — The Critical Role of Customer Data Quality Typically, one of the primary goals of a merger or acquisition is to increase market share by acquiring the target company's customer base. But how can you be sure of the true value of that customer base if you're not sure of the quality of the customer data? Learn the four critical phases at which poor quality customer data can seriously impact the success of the merger or acquisition — and how an Enterprise Customer Data Quality Management Regime can minimize the risks.

	Making CRM Pay — How to Realize Your ROI Potential Despite huge investments, the promised ROI of the single enterprise customer view has yet to be realized. The reason? A single definition of "customer" can rarely meet the needs of an organization's many departments and functions. Now there's a new way to think about "customer" — not merely as an individual, but as a network of associations.

	Insider's Guide to the True Cost of Data Quality Software Too often, organizations compare data quality vendors on the basis of software licensing fees alone. Yet licensing fees are only one of many costs involved in purchasing a data quality solution — and usually not the largest one. Learn why such hidden costs can easily drive up your True Cost of Ownership (TCO) by $100,000, or more!

	Customer Data Integration in Weeks, Not Years Most data integration methodologies are time-consuming and expensive — requiring months of "tuning" the software, and the manual review and correction of tens of thousands of records. There is a better way. Hundreds of organizations across the country have discovered this alternative data integration methodology that eliminates the need to "tune" the software — and slashes the time required for manual review by up to 90%.

	Enterprise Customer Data at Risk: The 5 Danger Signs of Data Integration Disaster Did you know that more than 80% of data integration projects run over budget — or fail altogether? Learn which widespread factors can put your next merger, integration or consolidation project at risk — and about an easy-to-implement solution that can protect your project from integration failure.

	7 Business Benefits of Postal Coding — And What to Look for in Choosing the Right Solution Even though they have all passed stringent USPS requirements, CASS-certified postal coding solutions vary widely in accuracy when processing real-world data. Unless the data has been thoroughly cleansed, parsed and standardized prior to processing, the results may fall far below expectations. In addition, more powerful solutions can deliver valuable business benefits beyond qualifying bulk mailings for postage discounts — like helping you save money, increase sales, streamline operations and reinforce strategic decision-making. That’s why CASS certification alone is not enough when selecting a postal coding solution. Learn seven important ways postal coding can strengthen your business — and the critical capabilities to look for in a full-function postal coding solution.

	The Magic 4%: The Impact of Data Integrity on Your Data Warehouse Think a data quality level of 95% is good enough? If you’re a large organization, increasing that quality level by just 4% can probably save you hundreds of thousands of dollars — or more — each year. See the numbers for yourself, and how one of our clients estimates that by increasing their data quality level just 4%, they gained over $5 million in revenue increases, loss avoidance, and cost savings. You’ll also find a quick test to determine if your data quality measures up, and guidelines for implementing and maintaining data quality over time.

	Understanding Type 1 and Type 2 Errors: The Key to Evaluating Data Quality Software Is your data quality software performing as well as you believe? The key to evaluating data quality software is understanding the two kinds of errors that all data quality solutions make, and the tension between them. Learn how these two kinds of errors impact the quality of your customer data — and the key to achieving the optimal balance between them.

	Data Matching Architecture One of the critical components of customer data quality is matching records to identify and eliminate duplicates. While there are a variety of data matching methodologies on the market, they do not all offer the same level of accuracy. This white paper takes an analytical look at how three popular methodologies work, and why one minimizes both overmatching and undermatching to achieve superior results.

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If you'd like immediate information on any of Innovative's proven solutions for data profiling, data integration, data quality management, and fraud and regulatory compliance, simply call us at 1-800-622-6390, ext. 7657 in the US, or +44 (0) 1483-730446 in the UK. There's no obligation, of course.

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