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Displaying 15–30 (of 200)

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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, Data Management, Information Management
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06-05-2010
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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06-05-2010
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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06-05-2010
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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06-05-2010
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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06-05-2010
Raising the Bar on Business Analytics: Innovation Powered by Grid Summary
Business analytics could be your greatest asset in delivering insight into customer behavior, operations, financial performance and risk management. Read how business analytics on a grid computing platform can significantly benefit your organization.

Topics: Analytics, Business Intelligence, Business Analytics
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28-04-2010
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 Analytics, Business Intelligence
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27-04-2010
Who Ensures Clean, Consistent Data? (Hint: It’s Not Just IT) Summary
Inaccurate customer data costs businesses a staggering $611 billion annually. This TDWI report explores real-world solutions for strengthening alliances between business and IT, investing in technology that corrects data at its entry source, and solving data accuracy and standardization issues.

Topics: Information Quality (IQ), Business Intelligence, Data Quality, Data Warehousing, Data Profiling, Data Stewardship, Business Analytics
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27-04-2010
Analytics: The Art and Science of Better Summary
This briefing presents a series of insightful, timely articles that highlight how people, culture, process and technology combine to overcome analytical challenges. Learn how analytics can help you make better decisions faster.

Topics: Analytics, Business Intelligence, Business Analytics
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26-04-2010
How Organizations Make Better Decisions Summary
Decisions, whether tactical or strategic, are critical to the success of every organization. This research study investigates the decision-making processes of 57 organizations and their use of business analytics to support and improve decision-making.

Topics: Analytics, Business Analytics, Business Intelligence
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22-04-2010
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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21-04-2010
Staffing for Intelligence Summary
This technology brief explains how to get the best return on your analytics investment by seeking out a new combination of skill sets in your data professionals – and creating cross-functional liaison roles that bridge the gap between IT and business.

Topics: Analytics, Business Intelligence
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15-04-2010
Database Design: Getting It Right Summary
In this white paper, Bill Inmon emphasizes that any time a database is created, modified, merged or moved, the database design needs to be reviewed. To stop the flow of flawed information, inspecting and fixing every production database should be a high priority in every organization.

Topics: Data Warehousing, Data Modeling and Design, Databases/Database Administration
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29-03-2010
The State of Data Summary
This series of insightful, timely articles strikes at the heart of data quality and data integration challenges. Included here is a close look at harnessing the exploding volumes of unstructured and semistructured data, which so many companies are struggling to tame and leverage for true business value.

Topics: Information Quality (IQ), Data Quality, Data Integration, Data Profiling, Data Migration, Data Stewardship, Data Management
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29-03-2010
Information is King Summary
Fully adopting a fact-based decision-making model can provide organizations with the quality information they need to compete in a rapidly changing economy. Accepting a business analytic framework can help executives better manage their relationships with customers and suppliers, and improve their overall operations.

Topics: Analytics, Business Intelligence
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28-03-2010

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