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Customer Centricity, Master Data and the 360-Degree View Summary
When reviewing the popular literature on customer data integration and master data management, a frequently recurring business driver is the ability to establish a “360-degree view of the customer.” This concept has turned into the holy grail of comprehensive customer intelligence. This paper provides questions that should be considered and reviewed during any project designed to deliver a 360-degree view. By using these questions for preliminary guidance, one may clearly articulate where the business can derive value, determine performance metrics and thresholds, and improve the chances of success. The paper then explores how information sharing and identity resolution combine to show the connection between MDM and enterprise customer centricity.

Topics: Information Quality (IQ), CRM, Data Quality, Data Warehousing, Master Data Management (MDM), Customer Data Integration
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05-06-2010
Data Quality and Cost Reduction Summary
This paper by David Loshin of Knowledge Integrity reviews aspects of cost reduction and examines some typical financial accounting expense categories. Selecting some specific examples and assessing their reliance on high-quality data, Loshin looks at how data quality services can be applied to reduce expenses, and examines the potential for applying data quality management as a way to manage and reduce organizational expenses.

Topics: Information Quality (IQ), Data Quality
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05-06-2010
Finding an Upside in the Downturn with Data Quality Summary
The current macroeconomic malaise means organizations in almost every sector are finding it tough. Although companies are relying even more on IT systems to run their businesses in a leaner and meaner fashion, new IT investments are invariably impacted as well. CIOs are left scratching their heads on how to sustain and fund important information management projects such as master data management (MDM) and data quality. This paper from Ovum, a leading research firm in technology, telecommunications and other business sectors, describes why a rigorous data quality program is now a business imperative rather than a luxury.

Topics: Information Quality (IQ), Information Management, Data Quality, Master Data Management (MDM), Data Governance, Data Management
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05-06-2010
A Guide to the Value of Reliable Data in Insurance Summary
How critical is reliable data to the insurance industry? Insurance companies must attract the right customers, price correctly, write the right business, decline high-risk business, mitigate risk and reserve correctly. They must also maintain positive cash flow, manage outstanding claims and get the best re-insurance deals – all the while minimizing operating expenses. If unreliable data is flowing through the organization, the impact on the core insurance operational and analytical processes can be catastrophic. This white paper from industry thought leader Mike Ferguson looks at the importance of reliable data to the insurance industry, focusing on the impact of poor data. He discusses how an enterprise data quality approach can help get you back control of your data.

Topics: Information Quality (IQ), Data Quality, Data Warehousing, Enterprise Information Management (EIM), Data Management
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05-06-2010
A Guide to the Value of Reliable Data in Retail Banking Summary
This paper by Mike Ferguson of Intelligent Business Strategies examines the impact of unreliable data on retail banks. Defining the requirements needed to guarantee data reliability in retail banking, it offers a practical approach to creating and governing that data, and shows how you can get started in making trusted data available in to help improve marketing, customer service, risk management, compliance and profitability.

Topics: Information Quality (IQ), Information Management, Data Quality, Data Governance, Data Management
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05-06-2010
A Guide to the Value of Reliable Data in Manufacturing Summary
The impact of unreliable data on manufacturing can be so negative that the return from investing in the people, processes and technologies needed to establish enterprise data governance will more than outweigh the cost of implementing such a program. This white paper by Mike Ferguson from Intelligent Business Strategies explores how reliable, trusted data can contribute significantly towards reducing unnecessary operational costs, avoiding customer dissatisfaction and cash flow problems for manufacturing companies.

Topics: Data Warehousing, Information Management, Data Quality, Data Governance, Information Quality (IQ), Data Management
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05-06-2010
Automating Data Flows to Your Business Intelligence System Summary
Learn how to improve data quality through automation of the ETL process and integration with data sources, with robust error recovery and auditability. Ensure that data is accessed in the proper order, and processing is completed within the operating window.

Topics: Data Integration, Business Intelligence, Data Warehousing
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04-21-2010
Archiving and SAP Environments: For Business, IT and Regulatory Requirements Summary
This white paper explores the benefits of utilizing a comprehensive archiving solution to extend the capabilities of your SAP applications and environments – to improve system performance, function as a long-term repository for regulatory compliance and help achieve overall enterprise integration.

Topics: Data Integration, Data Migration, SAP
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03-11-2010
ASG-Total Content Integrator (TCI) and Microsoft Office SharePoint Server (MOSS) Summary
Microsoft Office SharePoint Server 2007 provides easily adopted and easily used collaboration and document management functionality. However, MOSS may not address the broader set of ECM functions required for the enterprise. Learn how to enhance, optimize and extend the reach of MOSS in your organization.

Topics: Data Integration, Content Management, Data Management
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03-10-2010
The Search for the Elusive ROI: Tracking Down Value in a Jungle of Enterprise Management Products Summary
In the enterprise management space, ROI research provides a glimpse into “real world” IT and the experiences of a variety of companies. Every IT organization is on a quest to deliver high value to the business in the most cost effective way possible. While ROI is important in all areas of the business, skillful product selections within IT can yield particularly high levels of quantifiable value.

Topics: Data Integration, Business Intelligence, Data Acquisition and Delivery, Data Quality, Data Warehousing, ROI (Return On Investment), Data Management
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03-10-2010
Integrating Content Across the Enterprise: An Introduction to ASG-Total Content Integrator Summary
Research shows that enterprise content is growing by as much as 200% per year, and the risks of not managing it effectively are growing even faster. This paper examines the business and technical challenges of integrating disparate enterprise content and offers an elegant solution to address these issues.

Topics: Data Integration, Compliance, Content Management, Data Modeling and Design, Data Management
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03-10-2010
From SOA To SaaS: How SaaS is Driving New Opportunities in Application and Data Integration Summary
Shrinking IT budgets in the recessionary economy will make the software-as-aservice model a more viable alternative than the traditional license model for new software investments, which will in turn offer new opportunities for integration software vendors that should far exceed the integration opportunities offered by service-oriented architecture. Worldwide, SaaS in the four largest application sectors — customer relationship management, enterprise resource planning, collaboration and content management, and human capital management — is expected to grow more than 27% this year to $7.9bn, and grow over 25% next year to $9.9bn, according to research by The 451 Group’s Tier1 Research subsidiary. The US market will account for nearly two-thirds of that spending, although Asia-Pacific will be the fastest-growing region.

Topics: Data Integration, CRM, Service Oriented Architecture (SOA), SaaS (Software as a Service)
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03-09-2010
Pervasive Metamorphosis 2009: Integrating the Enterprise and Beyond Summary
Pervasive Software held its ninth Metamorphosis conference event in Boston on April 29 and 30, 2009. This Enterprise Management Associate(EMA) Brief summarizes the conference content and Enterprise Management Associates’ key takeaways regarding products and announcements. It also provides a brief summary of Pervasive and its value proposition, as well as information on how Pervasive customers are using its products. Finally, it recommends that companies attempting to “reinvent the wheel” for every new integration investigate Pervasive’s wide range of on-premise and cloud-based product offerings.

Topics: Data Integration, Data Warehousing, Cloud Computing, ROI (Return On Investment), Data Management
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03-09-2010
Comparative Costs and Uses of Data Integration Platforms Summary
Bloor Research has set out to discover how data integration platforms are being used in practice. That is, what types of integration tasks they are being used for, on what scale, and whether this differs by product or vendor. Bloor arrived at an estimate of cost effectiveness based on total cost per project.

Topics: Data Integration, Data Quality, Data Warehousing, Open Source BI, ROI (Return On Investment), Data Management
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03-02-2010
Mitigate, Control and Secure Your Financial Data within Spreadsheets Summary
Financial business processes run on spreadsheets. The widespread usage of spreadsheets should cause concern for all enterprises. Learn how to implement the correct procedures around spreadsheet controls and the ability to discover, assess, and control spreadsheets.

Topics: Information Quality (IQ), Business Process Management (BPM), Predictive Analytics, Business Rules
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02-22-2009

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