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Role of In-memory Analytics in Big Data Analysis
Organizations today need to handle and manage increasingly large volumes of data in various formats and coming from disparate sources. Though the benefits to be

data analysis help  In-memory Analytics in Big Data Analysis In a previous article , I discussed big data and the need for a big data solution to handle, manage, and derive valuable insight from large volumes of data in various formats and coming from disparate sources. Here I discuss the role that in-memory technologies plays in big data analysis and the potential of this technology to change the business intelligence (BI) landscape and the industry technology space. But first we need to understand the basics.   A Basic Read More...

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 analysis help  also known as : Data Analysis , Data Managing , Data Visualization , Business Data Management , Data Base Management , Managing Information , Enterprise Data Management , Asset Data Management , Data Information Management , Data Storage Management , Customer Data Management , Data Warehouse Management , Data Management Marketing , Server Data Management , Data Management Solutions , Data Management Technology , Data Content Management , Data Centre Management , Data Management Tools , Free Data Read More...
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Sales Force Automation (SFA) systems help sales and marketing teams with functions related to taking orders, generating proposals or quotes, managing territories, managing partners, and maintaining...
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Documents related to » data analysis help


Identifying the ROI of a Software Application for SCM Part 3: Performing the Data Analysis
By using software tools that help you forecast and work together with others inside your organization, and even with your customers, the forecasts may become

data analysis help  Part 3: Performing the Data Analysis Identifying the ROI of a Software Application for SCM Executive Summary    The competitive environment for every industry grows increasingly intense. Fast, reasonably accurate information about the impact of a software investment decision grows more critical. Many decision-makers look for an exact forecast of return on investment (ROI) from the purchase of a supply chain management application. At least four very real challenges make such perfect information 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

data analysis help  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 been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive analysis. Learn more. Read More...
Infor’s Acquisition of PeopleAnswers Foregrounds Big Data Behavioral Analysis of Employees
Infor has announced the acquisition of PeopleAnswers, a company specializing in predictive talent analytics. PeopleAnswers’ application maps the behavioral DNA

data analysis help  of PeopleAnswers Foregrounds Big Data Behavioral Analysis of Employees Infor has announced the acquisition of PeopleAnswers, a company specializing in predictive talent analytics. The financial terms of the deal have not been disclosed. Founded in 2001, PeopleAnswers developed a cloud-based (multitenant software-as-a-service [SaaS]) solution meant to help companies with employee selection, retention, and succession planning. PeopleAnswers’ application maps the behavioral DNA of organizations by Read More...
EnduraData Wide Area Data Distribution Solution (EDWADDS)
Enduradata's Content Distribution Software is a cost effective and secure solution that allows businesses and governments to distribute data and applications

data analysis help  Wide Area Data Distribution Solution (EDWADDS) Enduradata's Content Distribution Software is a cost effective and secure solution that allows businesses and governments to distribute data and applications files from one computer to one or more computers. The file size can vary and no additional hardware or software is required. EDWADDS combines the solution with work flow automation to achieve significant operational efficiencies and low total cost of ownership. Read More...
How Companies Use Data for Competitive Advantage
Find out in Leveling the Playing Field: How Companies Use Data for Competitive Advantage.

data analysis help  Companies Use Data for Competitive Advantage How Companies Use Data for Competitive Advantage Today, many businesses find they are under siege dealing with an explosion of data. Yet the best performing companies are mastering their data—and using it for competitive advantage. How are they able to accomplish this? What best practices, approaches, and technologies are they employing? Find out in Leveling the Playing Field: How Companies Use Data for Competitive Advantage . In this Economist Business Read More...
Protecting Critical Data
The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data

data analysis help  Critical Data The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly. Read More...
How the Right Mix of Static Analysis and Dynamic Analysis Technologies Can Strengthen Application Security
In searching for tools to implement an effective application-security strategy, managers have a choice between two technological approaches: dynamic analysis

data analysis help  the Right Mix of Static Analysis and Dynamic Analysis Technologies Can Strengthen Application Security In searching for tools to implement an effective application-security strategy, managers have a choice between two technological approaches: dynamic analysis and static analysis. Available in a variety of freeware and commercial automated tools, both approaches promise comprehensive detection of security vulnerabilities. But a truly effective strategy may require a mix of both. Read More...
The New Virtual Data Centre
Old-style, one application per physical server data centers are not only nearing the end of their useful lives, but are also becoming barriers to a business

data analysis help  New Virtual Data Centre Old-style, one application per physical server data centers are not only nearing the end of their useful lives, but are also becoming barriers to a business’ future success. Virtualization has come to the foreground, yet it also creates headaches for data center and facilities managers. Read about aspects of creating a strategy for a flexible and effective data center aimed to carry your business forward. 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

data analysis help  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 sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more. Read More...
Data Center Projects: Advantages of Using a Reference Design
It is no longer practical or cost-effective to completely engineer all aspects of a unique data center. Re-use of proven, documented subsystems or complete

data analysis help  aspects of a unique data center. Re-use of proven, documented subsystems or complete designs is a best practice for both new data centers and for upgrades to existing data centers. Adopting a well-conceived reference design can have a positive impact on both the project itself, as well as on the operation of the data center over its lifetime. Reference designs simplify and shorten the planning and implementation process and reduce downtime risks once up and running. In this paper reference designs are Read More...
Projected Cost Analysis of SAP HANA
In September 2013, SAP commissioned Forrester Consulting to conduct a cost-based analysis to examine the potential cost savings and reduction in total cost of

data analysis help  Cost Analysis of SAP HANA In September 2013, SAP commissioned Forrester Consulting to conduct a cost-based analysis to examine the potential cost savings and reduction in total cost of ownership (TCO) that enterprises may realize by deploying HANA. This report provides a framework for users to evaluate the potential financial impact of HANA on their organizations. Read More...
Master Data Management
It’s common to hear that master data management (MDM) projects are difficult to initiate. But pairing up an MDM project with another initiative already on your

data analysis help  Data Management It’s common to hear that master data management (MDM) projects are difficult to initiate. But pairing up an MDM project with another initiative already on your organization’s priority list might be easier than you think. Find out some of the basics surrounding MDM itself, including what MDM can refer to, as well as how to couple it with other projects that may already have momentum in your organization. Read More...
Microsoft says OLE for Data Mining: Is it Bull?
Microsoft released a new version of OLE DB (Object Linking and Embedding Database, based on Microsoft’s Component Object Model or COM) which supports a

data analysis help  says OLE for Data Mining: Is it Bull? Event Summary REDMOND, Wash., March 7 /PRNewswire/ -- Microsoft Corp. (Nasdaq: MSFT) announced the beta release of the OLE DB for Data Mining specification, a protocol based on the SQL language, that provides software vendors and application developers with an open interface to more efficiently integrate data mining tools and capabilities into line-of-business and e-commerce applications. A dozen leading data mining and business intelligence vendors Read More...

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