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Data, Data Everywhere: A Special Report on Managing Information
The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and

data center idc  Data Management Goal | Data Center Management Best Practices | Business Intelligence Data | Managing Information Report | Managing Information White Paper | Data Mangement Benefits | Feeding Databases | Ensuring Data Security | Proliferation of Data | Data Deluge | Data Everywhere | New Ways of Visualising Data | Data Streams | Flow of Data | Cross-system Data | Crunch Data | Exploiting Data | Basket Data | Data Mining | Seismic Data | Database | Social-Security Data | Industrial Revolution of Data | Read More...
Outsourcing, IT Infrastructure
The IT Infrastructure Outsourcing knowledge base focuses on the selection of companies who provide outsource services in the areas of information technology (IT) infrastructure. The typical type...
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Documents related to » data center idc


Running and Optimizing the Business of IT: The SAP Best-practices Approach
IT has long been seen as one of the best ways to address the challenges of the business environment. Yet the complexity and rigidity of IT infrastructure keep

data center idc  HRIS Course | HRIS Data | HRIS Department | HRIS Development | HRIS Employee | HRIS Experience | HRIS Functions | HRIS Implementation | HRIS Interface | HRIS Issues | HRIS List | HRIS Management | HRIS Manager | HRIS Organization | HRIS Outsourcing | HRIS Payroll | HRIS Personnel | HRIS Portal | HRIS Process | HRIS Products | HRIS Program | HRIS Programs | HRIS Recruitment | HRIS Report | HRIS Reports | HRIS Service | HRIS Services | HRIS Software | HRIS Softwares | HRIS Solution | HRIS Solutions | HRIS Read More...
TradeStone Software STARS 2013: Retail Rocks! Part 1
While I have repeatedly met with TradeStone Software’s top executives at the company’s head office in Gloucester, Massachusetts (and elsewhere, such as at the

data center idc  might sell their big data insights to their partners. Coordinate #3—Not every path is necessarily a path to purchase (but should nonetheless be offered to consumers). Coordinate #4—Clicks to bricks (from online to physical stores), i.e., allowing shoppers to touch, as well as look. Trajectory: Brand Ubiquity Will Be the Next Exclusivity Coordinate #1— The notion of public brands. Brands as assets are evolving from private label to private brand to owned brand. Think Trader Joe’s or Wholefoods Read More...
KANA Software and Ciboodle Join Forces for Customer Experience Perfection
The multi-channel customer experience management software market represents an attractive US$5 billion-plus market opportunity, which IDC recently forecast to

data center idc  mobile solutions, and big data analytics (although one should watch how Ciboodle’s partnership with SAS will now be affected or not). The merger also rounds out KANA’s Social CRM footprint as planned, although I concur with Esteban Kolski’s assertion in his related blog post that Moxie Software was a stronger acquisition suspect in this particular regard . KANA pledges to continue to be committed its strategy of protecting its customers’ investment in KANA products (which Kate Leggett of Read More...
Enterprises Reap Rewards of Modernizing Their ERP Systems
With increased mergers and acquisitions at the global level, organizations have started recognizing the benefits of upgrading to a modern enterprise resource

data center idc  efficiency, high availability, and data integrity requirements. Increasingly, organizations have started recognizing the benefits of using a modern ERP platform - either through a simple technical upgrade or as a part of a corporate reengineering project - to drive down costs, raise employee productivity, and produce meaningful business process improvement. With Web services, portals, and scalable infrastructure technologies at their disposal, these companies stand to achieve sustainable values for their Read More...
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

data center idc  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 an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help. Read More...
Backing up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices
This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions

data center idc  up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions to the challenges of protecting distributed business data by establishing a private cloud/enterprise cloud. Learn which best practices can ensure business continuity throughout an organization with a distributed information Read More...
2012 Business Data Loss Survey results
This report on the Cibecs and IDG Connect 2012 business data loss survey uncovers the latest statistics and trends around enterprise data protection. Download

data center idc  Business Data Loss Survey results This report on the Cibecs and IDG Connect 2012 business data loss survey uncovers the latest statistics and trends around enterprise data protection. Download the full results now. Read More...
Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations
While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as

data center idc  Data Analytics: Profiling the Use of Analytical Platforms in User Organizations While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as organizations seek to store and analyze greater levels of transaction details, as well as Web- and machine-generated data, to gain a better understanding of customer behavior and drivers. This report examines the rise of big data and the use of analytics to mine that data. Read More...
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

data center idc  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 make it critical for companies to learn how to manage and extract value from their data. Linked enterprise data (LED) combines the benefits of business intelligence (BI), master data management (MDM), service-oriented architecture (SOA), and search engines to create links among existing data, Read More...
A Road Map to Data Migration Success
Many significant business initiatives and large IT projects depend upon a successful data migration. But when migrated data is transformed for new uses, project

data center idc  Road Map to Data Migration Success Our consultants can help you optimize your end-to-end data migration by combining our expertise with our SAP BusinessObjects software to integrate your data and improve the data’s quality, particularly when upgrading or replacing legacy systems with SAP ERP. Source: SAP Resources Related to A Road Map to Data Migration Success : Data Migration (Wikipedia) A Road Map to Data Migration Success Data Migration Project is also known as : Road Map Data Migration Success 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

data center idc  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 understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more. Read More...
Addressing the Complexities of Remote Data Protection
As companies expand operations into new markets, the percentage of total corporate data in remote offices is increasing. Remote offices have unique backup and

data center idc  the Complexities of Remote Data Protection Because data protection is a concern for organizations of all sizes, IBM offers remote data protection for the enterprise, as well. This high performance and easy-to-use service delivers consistent and cost-effective data protection without increased network investment. Source: IBM Resources Related to Addressing the Complexities of Remote Data Protection : Continuous Data Protection (CDP) (Wikipedia) Addressing the Complexities of Remote Data Protection Read More...
Metagenix Reverse Engineers Data Into Information
Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than depending on the data dictionaries

data center idc  Reverse Engineers Data Into Information Metagenix Reverse Engineers Data Into Information M. Reed - February 15, 2001 Event Summary Metagenix, Inc. has designed its flagship product, MetaRecon to, as they put it, Decipher Your Data Genome . The product reverse engineers all of the metadata ( data about data ) from data sources and generates information that is very helpful to developers in designing specifications for a new data store, and assists greatly in preparing for cleansing and Read More...

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