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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

cross data analysis  Master Data Management ensures cross-system data consistency through interactive distribution. Source: SAP Resources Related to Data, Data Everywhere: A Special Report on Managing Information : Data (Wikipedia) Data, Data Everywhere: A Special Report on Managing Information Data Management is 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 Read More

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Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications pro...
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Documents related to » cross data analysis


Microsoft .NET Enablement: Analysis and Cautions
Using technologies that are intrinsically compatible should result in faster and less costly development. Thus, any application suite rewritten in the Microsoft

cross data analysis  business and IT functions. Across the application life cycle, the high cost of development, support, and enhancements in terms of money, time, and quality limit the ability of installed legacy software to meet many demands of business. Other possible stumbling blocks might come from the facts that legacy functionality may not be accessible for modifications, and that such environments might require an additional layer of code to be developed and maintained for the wrapper (whereby the programmer must Read More
BI Analysis in a Nutshell: Lyzasoft
In my previous post, Give BI to the Masses, I wrote about the strategies that have been implemented in some companies to empower more and more users to use

cross data analysis  types of reports: top-down, cross-tab, conditional, and drill-down/summary reports. They can then be exported to other types of formats (e.g., Excel, PDF, etc.), and the solution provides most common graphics and charts capabilities  (bars, columns, lines, and pie charts). Drilling and pivoting functions are also available. It’s also possible to easily create and edit indicators and metrics. Lyza generates metric lineage documentation to audit the overall analysis process. At this point, it’s BI as Read More
Why don’t the Potential Benefits of Spend Analysis Come Easily?


cross data analysis  companies that do business across borders. Sourcing executives use Panjiva to create short-lists of potential suppliers (with their risk profiles) and to keep tabs on both competitors and existing suppliers. Not too shabby for a solution that was only recently unveiled. Information discovery is an important component of analytics, which in itself is an important component of the spend analysis application suite. But they’re only components, i.e.,  “necessary, but not sufficient.” At this stage, Read More
Financial Analysis Clears the “Profit Haze”
Designed to be agile and dependable, financial analysis solutions can bring clarity to the reasons behind your company’s growth, and help steer you toward

cross data analysis  of the truth sometimes across the organization, but more often within a single business area. However, these spreadsheet systems frequently manipulate source data to the point where the data is stale, unrecognizable, and virtually meaningless. Islands of Responsibility Responsibility for performance management is also isolated in disconnected organizational islands. Decision-makers within business units or departments are given the responsibility to improve efficiencies within their business areas Read More
Data Quality: A Survival Guide for Marketing
Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge

cross data analysis  Quality: A Survival Guide for Marketing Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more. Read More
Re-think Data Integration: Delivering Agile BI Systems with Data Virtualization
Today’s business intelligence (BI) systems have to change, because they’re confronted with new technological developments and new business requirements, such as

cross data analysis  think Data Integration: Delivering Agile BI Systems with Data Virtualization Today’s business intelligence (BI) systems have to change, because they’re confronted with new technological developments and new business requirements, such as productivity improvement and systems as well as data in the cloud. This white paper describes a lean form of on-demand data integration technology called data virtualization, and shows you how deploying data virtualization results in BI systems with simpler and more 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...

cross data analysis  Errors to Avoid When Building a Data Center Proper data center commissioning can help ensure the success of your data center design and build project. But it's also a process that can go wrong in a number of different ways. 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 commissioning process. From bringing in the commissioning agent too late into the process, to not identifying clear roles for 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

cross data analysis  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
Making Big Data Actionable: How Data Visualization and Other Tools Change the Game
To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through

cross data analysis  Big Data Actionable: How Data Visualization and Other Tools Change the Game To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through visualization, organizations can find and communicate new insights more easily. Learn how to make big data more actionable by using compelling data visualization tools and techniques. Read More
Beware of Legacy Data - It Can Be Lethal
Legacy data can be lethal to your expensive new application – two case studies and some practical recommendations.

cross data analysis  of Legacy Data - It Can Be Lethal Beware of Legacy Data It Can Be Lethal Featured Author - Jan Mulder - August 23, 2002 Introduction The term legacy is mostly used for applications. For example, according to the Foldoc dictionary, legacy is: A computer system or application program which continues to be used because of the cost of replacing or redesigning it and often despite its poor competitiveness and compatibility with modern equivalents. The implication is that the system is large, monolithic Read More
Analytics and Big Data for the Mid-Market
Midsize companies increasingly have to grapple with big data, but determining which solutions among all the options will best help extract business value from

cross data analysis  and Big Data for the Mid-Market Midsize companies increasingly have to grapple with big data, but determining which solutions among all the options will best help extract business value from their data is challenging. This report focused on 69 mid-market organizations, offers guidance to these smaller companies on how they might narrow the options by revealing which technology enablers are prevalent in the mid-market, investigating which features are most used by top performing companies, and 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,

cross data analysis  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, and ever-growing, amount of data that must be protected. This paper makes the business case for cloud storage, outlining where capital and operational costs can be eliminated or avoided by using the cloud for backup and archive storage. Read More
Managing Small Data Centers: A Short Guide to Running Secure and Resilient Data Centers for Mid-sized Businesses
To keep your growing business competitive, your data center must be secure, protected against disaster, and available 24 hours a day, 7 days a week. But if

cross data analysis  Small Data Centers: A Short Guide to Running Secure and Resilient Data Centers for Mid-sized Businesses To keep your growing business competitive, your data center must be secure, protected against disaster, and available 24 hours a day, 7 days a week. But if managing IT is not your core competence, what are your options? A managed service provider (MSP) can help. Learn about the benefits of outsourcing data center management, and make sure your crucial business applications are always available 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

cross data analysis  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, governance, and so on. In response to this situation, some organizations are adopting unified data management (UDM), a practice that holistically coordinates teams and integrates tools. This report can help your organization plan and execute effective UDM efforts. Read More
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