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Documents related to » valuable data integration


Laying the Foundation for Customer Data Integration
For increased revenues and improved profitability, customer data integration (CDI) should be a vital part of your business processes. CDI, unlike customer

valuable data integration  (CRM), can deliver a valuable single view of a customer, without necessitating yet another complex system needing vast technical and organizational effort. Learn about CDI’s core capabilities, and which style of CDI is your best match. Read More...
Integration is the Name of the Game in Software Systems
This article, originally published in Engineering Times, on how companies are employing ERP is based on an interview with Ben Spencer, TEC’s Senior Director of

valuable data integration  entire enterprise is a valuable commodity. Companies are using enterprise resource planning (ERP) software tools at an increasing rate to help smooth the rough edges of their business practices. ERP attempts to integrate all of a company''s departments and functions-such as human resources, financial management, project management, and sales-onto a single computer system that serves those segments'' individual needs. Not an easy task. But vendors such as SAP , Oracle , Baan , and IFS Inc . have continued Read More...
The Truth about Data Mining
It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data

valuable data integration  Truth about Data Mining A business intelligence (BI) implementation can be considered two-tiered. The first tier comprises standard reporting, ad hoc reporting, multidimensional analysis, dashboards, scorecards, and alerts. The second tier is more commonly found in organizations that have successfully built a mature first tier. Advanced data analysis through predictive modeling and forecasting defines this tier—in other words, data mining. Data mining has a significantly broad reach and application. Read More...
Best Practices for a Data Warehouse on Oracle Database 11g
Companies are recognizing the value of an enterprise data warehouse (EDW) that provides a single 360-degree view of the business. But to ensure that your EDW

valuable data integration  of Data Warehousing | Valuable Data Integration | Enterprise Data Warehousing | Contains Information on Data Warehousing | Building the Data Warehouse | Term Data Warehouse Lists | Expensive Data Warehouse | Data Warehousing Provides | Data Warehouse Appliance Consists | Data Warehouse Info | Implementing Data Warehouse | Data Warehouse Process | Implementing Real Time Data Warehousing | Data Warehouse System Complete | Data Warehouse EDW | Data Warehouse Architecture EDW | Data Warehouse Concepts EDW | 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

valuable data integration  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 type anything into a field where they didn''t know the correct value, just so they could get on to the next field). The product''s capabilities to assist in data cleansing, discovery, and validation could prove invaluable. 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

valuable data integration  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 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...
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

valuable data integration  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...
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

valuable data integration  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 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...
Software Integration
Most financial offices run at least three separate industry-specific software packages@often from different vendors. The problem with having all of these

valuable data integration   Read More...
Jitterbit: Integration in Harmony
California-based provider of cloud-based application and data integration solutions Jitterbit has taken its strategy to offer a platform better adapted to the

valuable data integration  Integration in Harmony California-based provider of cloud-based application and data integration solutions Jitterbit has taken its strategy to offer a platform better adapted to the new requirements of integration at many layers a step further with the release of its integration offering , the Harmony Integration Cloud Platform . In the words of Jitterbit, the Harmony platform will “make it easy for companies to amplify the value of their business apps by connecting them across the entire Read More...
Enterprise Application Integration - Where Is It Now (And What Is It Now)? Part 2: Where Is It Now?
Enterprise Application Integration has changed massively in the past two years. Where is the market, and what vendors are left in the game?

valuable data integration  Application Integration - Where Is It Now (And What Is It Now)? Part 2: Where Is It Now? Enterprise Application Integration - Where Is It Now (And What Is It Now)? Part 2: Where Is It Now? M. Reed - September 6, 2001 Summary Since January 2000 when TEC last addressed the trends in Enterprise Application, there have been massive changes in the overall direction of Application Integration in general and EAI in particular. A great many of the players have changed in the vendor arena, new Read More...
Data Management and Business Performance: Part 1-Data
Research for one of my projects led me to ask both software vendors and customers about the factors most important to software users in the selection of a

valuable data integration  to capture the most valuable information for improved decision making and business performance. Let’s look at what the data tells us. Below is a Pareto chart based on data from Technology Evaluation Centers (TEC) on what software users consider to be the most popular functionality features for BI applications. For those of you who don’t know, the definition of a Pareto chart according to Whatis.com is “a vertical bar graph in which values are plotted in decreasing order of relative frequency from Read More...
Data Management and Analysis
From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it

valuable data integration  Management and Analysis From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As). For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users Read More...
Data Enrichment and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics
Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident

valuable data integration  management software can deliver valuable insights into savings opportunities and risk management. But to make confident decisions and take the right actions, you need more than just software—you also need the right data. This white paper discusses a solution to help ensure that your applications process reliable data so that your spend analyses and supplier risk assessments are accurate, trustworthy, and complete. 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

valuable data integration  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 traditional ways to store and analyze large amounts of data are being replaced with new technologies and methodologies to manage the new volume, complexity, and analysis requirements. These include new ways of developing data warehousing, the emergen Read More...

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