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Displaying 1–15 (of 72)

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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
De-Risking Data Migration: The Case for Data Quality Technology Summary
This white paper by Dylan Jones provides practical advice that will help the reader understand the pivotal role data quality technology must play in a data migration. Jones describes five distinct implementations of data quality technology in detail, each one providing clear evidence for the need to - and the benefits of - adopting the right data quality approach in data migration projects.

Topics: Data Warehousing, Data Quality, Information Quality (IQ), Data Migration, Data Management
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05-06-2010
Data Migration for Project Leaders Summary
The project leader can play a critical role in ensuring a successful data migration. This guidebook by Dylan Jones of Data Quality Pro examines exactly what responsibilities and activities project leaders should fulfill and supplies details for these responsibilities, including sections on essential activities such as planning, forecasting, risk management, team selection, communication and collaboration.

Topics: Data Warehousing, Information Management, Data Quality, Data Migration, Data Management
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05-06-2010
Lessons Learned: Survey of Financial Services Companies Uncovers Data Governance Trends Summary
DataFlux conducted a survey to understand data management trends in the financial services industry. This white paper is based on that survey and examines how this industry is approaching managing its data, the breadth and depth of data governance in this sector, what motivates data management strategies, and what kind of rules the industry thinks should be introduced in the future to promote success.

Topics: Data Governance, Information Management, Data Management
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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
Data Requirements for Advanced Analytics Summary
Preparing data to accommodate the analytic application you’ve chosen is imperative to success. This TDWI Checklist Report clears up confusion about distinguishing between data warehouses and analytic databases, as well as scaling up to handle large data volumes.

Topics: Analytics, Business Intelligence, Business Analytics
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04-27-2010
Demand and Sales Funnel Analytics Summary
Designed for marketing operations managers and executive, this PDF contains 4 Sirius Decisions research briefs focused on the emergence of marketing operations and its increasing adoption of demand and sales funnel analytics to drive best-in-class performance and deliver competitive differentiators.

Topics: Analytics, Performance Management, Sales & Marketing Analytics
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03-12-2010
Metrics-Based Sales Productivity – Delivering Dividends for Forward-Thinking Sales Organizations Summary
Designed for the sales executive, this PDF includes 4 Sirius Decisions research briefs focused on the advent of metrics-based sales productivity. New approaches are being embraced and delivering dividends to forward-thinking sales organizations.

Topics: Performance Management, Sales performance management
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03-12-2010
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
QlikView for SAP Summary
Companies have spent millions automating their business processes, but many still lack the ability to fully leverage their wealth of data contained in SAP. QlikView in-memory analysis, with the specially designed QlikView Connector powered by SAP NetWeaver, enables SAP users to perform quick, flexible, visual, ad hoc analysis and reporting, which can include combining data from external non-SAP sources.

Topics: Analytics, Business Intelligence, SAP
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03-03-2010
A Revolution in High-Performance SQL Processing Summary
This white paper explains why flaws with traditional data warehousing hardware architecture cause poor performance while driving up costs and how Kickfire's SQL chip and open data warehousing platform solve them to deliver true performance.

Topics: Analytics, Data Warehousing, Appliances
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02-27-2010

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