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Data Discovery Applications
Over the last five years, the business intelligence (BI) space has undergone a huge transformation. The business user community has lobbied for data analysis

data integration applications  include the following: Easy-to-deploy data integration capabilities Exploration capabilities of both structured and unstructured data Rich drill-through capabilities Easy and powerful visual data modeling and visualization tools Features for enabling data mash-ups Rich enterprise data and content search capabilities Text enrichment and analysis features such as sentiment analysis Team collaboration features Availability of rich analysis tools such as regression, nonlinear modeling, etc. Easy integration Read More
Outsourcing, Applications Software
This RFP is focused on the selection of companies who provide outsource services in the areas of application software. The typical types of activities that these outsource providers perform include...
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Documents related to » data integration applications


Integration Appliances: The Fastest Track to Master Data Management
While the idea of enterprise-wide data management is conceptually simple, it is extremely difficult to implement in most organizations, due to differences

data integration applications  the idea of enterprise-wide data management is conceptually simple, it is extremely difficult to implement in most organizations, due to differences between heterogeneous databases and applications. However, conventional integration software is not required to achieve consistent management of customer data. In fact, integration appliance technology can greatly simplify and reduce the cost of master data management (MDM). 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 integration applications  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
The Next Generation Approach to ERP Data Integration
Today’s manufacturer faces an ever-accelerating pace of business, marked by growing product and process complexity, along with demands for increased quality

data integration applications  Generation Approach to ERP Data Integration Today’s manufacturer faces an ever-accelerating pace of business, marked by growing product and process complexity, along with demands for increased quality, speed, and agility. The result is an ongoing need to seamlessly connect the ERP system with multiple software applications, databases, and business applications. Know about a more effective, cost-efficient approach to ERP system integration using robust techniques. Read More
Enterprise Application Integration - the Latest Trend in Getting Value from Data
Enterprise Application Integration (EAI) is one of the hot-button issues in IT for the Year 2000. Information Week Research's survey of 300 technology managers

data integration applications  in Getting Value from Data Summary Enterprise Application Integration (EAI) is one of the hot-button issues in Information Technology in 2000. Information Week 's research survey of 300 technology managers showed nearly 75% of respondents said EAI is a planned project for their IT departments in the coming year. According to a study by Bank Boston, the market for EAI is expected to be $50 Billion USD by 2001. Successful EAI requires a careful combination of a middleware framework, distributed object 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 integration applications  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
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 integration applications  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
MSI Data


data integration applications  Data 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 integration applications  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
Demystifying Data Science as a Service (DaaS)
With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been

data integration applications  Data Science as a Service (DaaS) With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white 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 integration applications  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
Boost Productivity By Merging Enterprise Applications
In the aberdeen report, do more with less: merging enterprise applications with desktop tools, learn how integrating enterprise applications with d...

data integration applications  get unified access to data residing in disparate systems; perform workflow tasks without switching between desktop and enterprise applications; access enterprise data directly without going through hierarchical application menus; search within enterprise applications and data; and import spreadsheet data into enterprise applications securely. You'll end up with an organization that has better access to enterprise data, improved communication, superior real-time decision-making ability, and the capacity 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 integration applications  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
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 integration applications  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
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 integration applications  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

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