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Enterprise Content Management (ECM)
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Documents related to » data repository


Developing a Universal Approach to Cleansing Customer and Product Data
Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data

data repository  Model for Data , Data Hub Creates , Single Product Repository , Offering Product Content for Online , Leading Product Data Management , Product Data Analysis Framework , Archiving Product Data , Engineering Data Product , Data Sheets Select Product , Product Data Management Category , Product Data Guide , Product Data Catalogue , Incorrect Product Data , Product Data Synchronization . CONTENTS Data Quality: What’s The Problem? The Cost of Poor Data Quality What Is Data Quality? Measuring Data Quality Read More...
1010data Big Data Warehouse
Designed originally to solve Big Data analytics problems for companies like the New York Stock Exchange, the 1010data platform is a unique approach to data

data repository  cloud-based platform that unifies data and analytics and provides a single repository for critical information assets. Read More...
Evoke Software Releases Axio Data Integration Product
Evoke Software Corporation has announced the release of Axio™, an e-business integration product designed to web-enable multiple different data sources into a

data repository  legacy data, especially heterogeneous data sources, should include Evoke Software''s Axio on a long list of potential candidates. The product''s ability to generate a metadata repository from actual data instead of data dictionaries, IMS PSB''s, etc. is a strong and valuable capability. It is estimated that approximately 80% of the world''s data is stored in mainframe files, a great percentage of that is VSAM. Many legacy applications had no data validation routines (it was common for data entry clerks to Read More...
A Definition of Data Warehousing
There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing

data repository  data, including complex three-dimensional data pictures. The theory is that the user can see trends more effectively in this manner than when looking at complex statistical graphs. Some vendors are making progress in this area using the Virtual Reality Modeling Language (VRML). Metadata Management: Throughout the entire process of identifying, acquiring, and querying the data, metadata management takes place. Metadata is defined as data about data . An example is a column in a table. The datatype (for Read More...
3 Big Trends in Data Visualization
The greatest value of a picture is when it forces usto notice what we never expected to see.—John W. Tukey. Exploratory Data Analysis. 1977.Data

data repository  and discovery. From a data visualization perspective, this means an enhancement to other important types of methods for information presentation and interactivity among users. Online analytical processing (OLAP) cubes and interactive charts, for example, enable visual analysis and interaction with the end user, but they concentrate on information that is already collected and transformed into a unique repository and specially structured for the purpose of doing analysis. End users are limited to using Read More...
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

data repository  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 consume the data. In recent years, however, information technology (IT) leaders have focused much more attention on their organizations’ data management platforms and capabilities. Download this white paper to get a better picture of the current data management landscape. 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 repository  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...
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

data repository  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...
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

data repository  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 BI and analytics tasks. Read this TEC product note from TEC senior BI and data management analyst Jorge Garcia to learn more about how BIReady is meeting its goal of helping companies become BI ready. Read More...
Big Data Comes of Age: Shifting to a Real-time Data Platform
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving

data repository  Data Comes of Age: Shifting to a Real-time Data Platform New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose-built platforms more capable of meeting the real-time needs of more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a unified Read More...
Informatica PowerCenter 5 Enables Enterprise Data Integration
Informatica Corporation’s Informatica PowerCenter 5 is a platform for integrating data to be deployed in e-Business applications, analytic applications and data

data repository  PowerCenter 5 Enables Enterprise Data Integration Informatica PowerCenter 5 Enables Enterprise Data Integration M. Reed - April 5, 2001 Event Summary Informatica Corporation (NASDAQ: INFA), a provider of e-Business analytic software, has announced the availability of Informatica PowerCenter 5 , an enterprise data integration platform for the deployment and management of analytic applications and data warehouses. The vendor states that the Informatica PowerCenter 5 suite is designed to be a Read More...
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

data repository  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 right information to the right people at the right time—but is your data capture process as efficient as it could be? Learn about the issues surrounding data capture and data processing, and about a solution designed to help you address specific processing problems. Read More...
Tailoring SAP Data Management for Companies of All Sizes
The need for accurate data management such as upload or download of data between a company’s data sources and SAP systems is more critical than ever. Users are

data repository  SAP Data Management for Companies of All Sizes The need for accurate data management such as upload or download of data between a company’s data sources and SAP systems is more critical than ever. Users are relying on manual operations, which are inherently error-prone, and time- and resource-intensive. Today''s environment requires enterprise-class automation to overcome these challenges of data management. Learn about one solution that can help improve SAP data management. Read More...
Distilling Data: The Importance of Data Quality in Business Intelligence
As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence

data repository  Data: The Importance of Data Quality in Business Intelligence Originally Published - October 20, 2008 The zeal to get as much business data to the user as soon as possible often prevails over the establishment of processes that control the quality of data. Low data quality standards can lead to bad business decisions and missed opportunities. Even with a data warehouse that is well designed and equipped with the best tools for business intelligence (BI), users will encounter inefficiency and frustration Read More...
Achieving a Successful Data Migration
The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data

data repository  a Successful Data Migration Achieving a Successful Data Migration If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Informatica''s data migration solution decreases the risk and minimizes the errors inherent in data migration projects. At the same time, our solution reduces the costs of data migration projects by automating processes, improving business-IT collaboration, and incorporating proven best practices. Source : Read More...

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