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Customer Relationship Management (CRM)
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Documents related to » explores raw data in disparate systems to uncover relationships and discrepancies between and within data sets


Business Basics: Unscrubbed Data Is Poisonous Data
Most business software system changes falter--if not fail--because of only a few root causes. Data quality is one of these root causes. The cost of high data

explores raw data in disparate systems to uncover relationships and discrepancies between and within data sets   Read More...
Achieving a Successful Data Migration
The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data

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How to Use Technology to Redefine Today’s Economy
Daniel Burrus examines how using technology can not only help organizations lower costs and become more efficient, but also redefine today’s economy. Learn the

explores raw data in disparate systems to uncover relationships and discrepancies between and within data sets   Read More...
How to Find the Right ERP to Optimize Your Multi-site, Multi-national Operation
Download this white paper to learn about the challenges faced by multi-site and multi-national organizations--and what to look for in an enterprise resource

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A Solution to Data Capture and Data Processing Challenges
Organizations are relying more and more on customer information to drive business processes. You probably spend a lot of time trying to make sure you get the

explores raw data in disparate systems to uncover relationships and discrepancies between and within data sets   Read More...
Enterprise Data Management: Migration without Migraines
Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an

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Linked Enterprise Data: Data at the heart of the company
The data silos of today''s business information systems (IS) applications, and the pressure from the current economic climate, globalization, and the Internet

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Big Data Comes of Age: Shifting to a Real-time Data Platform
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving

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Putting “Big Company” Strategies to Work for Small to Midsized Businesses
In today’s economy, small businesses’ primary differentiator is service. If systems are down, then customer service levels are down too, ultimately hurting the

explores raw data in disparate systems to uncover relationships and discrepancies between and within data sets   Read More...
Data Visualization: When Data Speaks Business
For many organizations, data visualization is a practice that involves not only specific tools but also key techniques, procedures, and rules. The objective is

explores raw data in disparate systems to uncover relationships and discrepancies between and within data sets  data visualization, IBM Cognos Business Intelligence, business intelligence, data delivery, data visualization best practices Read More...
Unified Data Management: A Collaboration of Data Disciplines and Business Strategies
In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration

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How to Use Talent Supply Chain Management to Overcome Challenges in the Professional Services Market
Professional service providers are starting to apply supply chain management concepts to their strategies for hiring and retaining talent. Adapting to market

explores raw data in disparate systems to uncover relationships and discrepancies between and within data sets   Read More...
To ERP or Not to ERP (In Manufacturing, It Isn''t Even a Question)
Despite the benefits that enterprise resource planning (ERP) brings to manufacturers, Aberdeen findings from 2010 suggest that 26% of manufacturers have yet to

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Data Masking: Strengthening Data Privacy and Security
Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating

explores raw data in disparate systems to uncover relationships and discrepancies between and within data sets   Read More...
Scalable Data Quality: A Seven-step Plan for Any Size Organization
Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but

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