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Title Popularity * Date
Six Steps to Managing Data Quality with SQL Server Integration Services Summary
Setting in place a process to fix data quality issues is important for the success of MDM and involves six key tasks: profiling, cleansing, parsing/standardization, matching, enrichment and monitoring. The end result is a process that delivers clean, consistent data that can be distributed and confidently used across the enterprise, regardless of business application and system.
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20-04-2009
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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22-02-2009
Going Green Summary
Forward-thinking companies have embraced "green" practices to satisfy customers, comply with regulations and promote positive community relations. This paper describes how environmentally conscious practices and products present a profitable future.

Topics: Information Quality (IQ), Business Process Management (BPM), Predictive Analytics, Business Rules
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03-02-2009
Three Blind Men and an Elephant - The Power of Dashboards Summary
Learn to expand your analytical reach and comprehension by viewing data in dashboards. Stephen Few, Principal of Perceptual Edge, reveals how dashboards make it easy to shift from one perspective to another while exploring and analyzing data, and pursuing every question that arises during the process.

Topics: Analytics, Business Intelligence, Performance Management, Dashboards
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26-01-2009
Optimize Your Enterprise Data Warehouse Summary
Discover proven, best practices and design options for a data warehouse that can significantly reduce system and maintenance costs by tailoring the system investment to match the value of the resulting analytic capabilities.

Topics: Data Warehousing
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18-01-2009
The Unique Requirements of Product Data Quality Summary
There's a need to redesign and create standard data quality techniques that address the unique requirements of non-customer data. This paper looks at product data and its specific uses and requirements.

Topics: Information Quality (IQ), Data Quality, Product Information Management (PIM)
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12-01-2009
Product Information Drives Sales Summary
This case study shows how new product information technology can optimize search efficiency, merchandising effectiveness and user experience.

Topics: Information Quality (IQ), Data Quality, Product Information Management (PIM)
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12-01-2009
Data Quality Management for Manufacturing Businesses Summary
Manufacturing businesses continue to transform themselves in response to changing market conditions. The value of investments in business process and integration technologies will be dependent on data quality strategies that are suitable for complex internal manufacturing processes.

Topics: Information Quality (IQ), Data Quality, Product Information Management (PIM)
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12-01-2009
Data Governance - Adoption of Data Governance by Business Summary
These survey results provide key insights into the current state of data governance, adoption plans, business drivers and inhibitors to effective data governance, budgets and best practices for implementation.

Topics: Information Quality (IQ), Data Quality, Product Information Management (PIM)
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12-01-2009
Bloor InDetail - Talend Open Studio, An Independent Analyst Review Summary
This product review will help IT staff and decision makers get an independent angle on the leading open source data integration solution.

Topics: Open Source BI, Business Intelligence, Data Integration, ETL
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17-11-2008
Integrating Data in the Information System - An Open Source Approach Summary
Data integration guarantees the consistency of data in the overall information system. This white paper describes how open source helps solves the interoperability challenge.

Topics: Open Source BI, Business Intelligence, Data Integration, ETL
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17-11-2008
Information Integration: Inbound Integration Landscape Summary
A selective adoption and orchestration of concepts and strategies as outlined in this paper will lead to a successful and value-driven Information Integration within an enterprise.

Topics: Data Integration, ETL
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21-07-2008
Driving Business Value with Geographic Business Intelligence Summary
To effectively meet business requirements, decision makers must process information on demand from everywhere, visually render, critically evaluate and carefully develop accurate understanding of their business.

Topics: Data Integration, Information Quality (IQ), Location intelligence
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29-05-2008
Techniques and Tools for Data Quality Management Summary
In an important new whitepaper, David Loshin examines how data quality technology, tools and techniques support best practices in data quality management.

Topics: Data Integration, Data Quality, Data Profiling
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03-04-2008
Data Warehousing, Next-Generation Business Intelligence and the Evolution of Data Quality Summary
David Loshin explains how embedding data quality services directly into applications can help meet key challenges involving: unstructured data; globalization; the explosion of raw data and the need for real-time synchronization between data sources.

Topics: Data Warehousing, Business Intelligence, Data Quality
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12-03-2008

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