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Documents related to » implementing real time data warehousing ilm


Time and Expense Management Applications
Organizations of all sizes are tasked with increasing efficiency and revenues in a timely manner. Naturally, this leads them to consider automation. The

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10 Errors to Avoid When Building a Data Center
In the white paper ten errors to avoid when commissioning a data center, find out which mistakes to avoid when you''re going through the data center...

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Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management
Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in

implementing real time data warehousing ilm   Read More
Governance from the Ground Up: Launching Your Data Governance Initiative
Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing

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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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Demystifying Data Science as a Service (DaaS)
With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been

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Data Security Is Less Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security
Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all

implementing real time data warehousing ilm   Read More
Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses
Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has

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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

implementing real time data warehousing ilm  to reach its customers, implementing a thorough data quality solution is crucial to your success. To learn more about practical and affordable data quality solutions that can scale to your growing business needs, visit http://www.MelissaData.com or call 1-800-MELISSA CASE STUDY - A Shari''s Berries Sacramento-based Shari''s Berries ships chocolate-covered strawberries nationwide via FedEx, guaranteeing on-time delivery of its perishable product line. They accept as many as 200 orders per hour during peak 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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Guidelines for Specification of Data Center Power Density
Conventional methods for specifying data center density don’t provide the guidance to assure predictable power and cooling performance for the latest IT

implementing real time data warehousing ilm  any function related to implementing high density power or cooling. Ability to spread loads: The ability to spread IT equipment physically within a data center is a practical option for most IT equipment today, due to the wide use of fiber-optic cabling. It is not necessary or desirable in many cases to deploy equipment at the full density it is capable of. Blade servers and 1U servers are examples of high density IT equipment that can readily be spread out between racks in order to decrease density. Read More
Data Integration: Creating a Trustworthy Data Foundation for Business Intelligence
Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting

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Six Steps to Manage Data Quality with SQL Server Integration Services
Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business

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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

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Data Management Wish List: IT Is Open to Big Changes
Data management, access, and analysis haven’t always received the same amount of consideration, or respect, as the corporate applications that generate and

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