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Data Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise
While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to

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Documents related to » level 0 data flow


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

level 0 data flow  data silo,business information systems,linked enterprise data,LED,business intelligence,BI,master data management,MDM,service-oriented architecture,SOA,search engines,Antidot,Antidot white paper,semantic web 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

level 0 data flow  do not allow that level of customization, you can also purchase a standalone application that accomplishes a similar function. Using Standalone Software If you work with lists acquired from an outside source, such as a vendor, or if you choose to process your address data in bulk, there is still more than one option available to you. The address checking components mentioned earlier can also be used to build in-house applications. This option requires that you have the necessary resources on hand to Read More
Customer Data Integration: A Primer
Customer data integration (CDI) involves consolidation of customer information for a centralized view of the customer experience. Implementing CDI within a

level 0 data flow  Master Data Management,MDM,Customer Data Integration,CDI,Data Integration,CRM,BI,business intelligence,data standardization,data consolidation,Customer Relationship Management Read More
Don't Be Overwhelmed by Big Data
Big Data. The consumer packaged goods (CPG) industry is abuzz with those two words. And while it’s understandable that the CPG world is excited by the prospect

level 0 data flow  big data white paper, consumer packaged goods, CPG industry, CPG big data, big data CPG, data acquisition CPG, CPG data acquisition, data CPG, CPG data, CPG LumiData Read More
Types of Prefabricated Modular Data Centers
Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod

level 0 data flow  DCIM, data center, data center infrastructure management, DCIM management, IT, IT infrastructure, APC by Schneider Electric, facility operations and maintenance, data center facility operations, data center PUE, PUE, prefabricated modular data center, data center systems Read More
Data Warehousing in the Big Data Era: Are You BIReady?
Netherlands-based BIReady automates the process of designing, deploying, and maintaining a data warehousing solution, allowing the optimization of all necessary

level 0 data flow  data warehouse, data warehouse automation, BIReady, BI, business intelligence, big data, DWH, BI automation, analytics, EDW Read More
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...

level 0 data flow  10 errors avoid building data center,errors,avoid,building,data,center,errors avoid building data center,10 avoid building data center,10 errors building data center,10 errors avoid data center. Read More
Data Quality Trends and Adoption
While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ

level 0 data flow  data quality solution,enterprise information management,enterprise information management strategy,enterprise information management definition,enterprise information management framework,enterprise information management software,data quality maturity,data quality software,open source data quality software,data quality,data quality tools,customer data quality,data quality metrics,data quality management,data quality objectives Read More
Data Storage in the Cloud-Can you Afford Not To?
Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast,

level 0 data flow  data storage in the cloud,cloud data storage,online data storage,offsite data storage,data storage cloud,data storage solution,data storage business,data storage,data storage internet,data storage service,best cloud storage,online data storage backup,microsoft cloud storage,cloud services,cloud storage providers 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

level 0 data flow  process at all organizational levels. This report considers the important effects of having good data visualization practices and analyzes some of the features, functions, and advantages of IBM Cognos Business Intelligence for improving the data visualization and data delivery process. 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

level 0 data flow  enterprise data management,enterprise data migration,erp data lifecycle,enterprise data migration framework,enterprise data migration services,enterprise master data management,enterprise data management strategy,enterprise product data management,enterprise storage and data management,what is enterprise data management,enterprise data management software,enterprise data management solutions,enterprise data management system,enterprise master data management pdf,enterprise data management maturity model Read More
Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio
Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the

level 0 data flow  right performance and storage levels. 5.    Pablo is an interesting solution for doing OLAP-based analysis. What is the difference between Pablo and other OLAP applications on the market? Pablo truly represents a new vision for creating and supporting OLAP environments and removes the headache of physical cube proliferation. As a feature of the WX 2 analytic database, Pablo is a perfect solution for organizations that have made a major commitment to OLAP-based analysis, as it allows them to use OLAP Read More
Big Data, Little Data, and Everything in Between—IBM SPSS Solutions Help You Bring Analytics to Everyone
Regardless of the type or scale of business data your users need to harness and analyze, they need a straightforward, visual solution that is easy to use on the

level 0 data flow  big data, predictive analytics, real-time analytics, embedded analytics, business analytics, IBM SPSS solutions, IBM SPSS predictive analytics tools, SPSS predictive software, predictive software Read More
Meet PCI DSS Compliance Requirements for Test Data with Data Masking
Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a

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