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Software Functionality Revealed in Detail
We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.
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 etl data integration paper

Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

Document Management for the Health Care Industry

Document management (DM) for health care and hospitals manages the storage, display, faxing, and scanning of paper and electronic documents.  

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Documents related to » etl data integration paper

Advanced ETL with Pentaho Data Integration


When evaluating a data integration tool, you need to ask whether it handles dimension and fact transformations in a robust manner. You also need to determine how it handles error processing, and captures changes to dimensional data across time. Does it include reusable objects? What late-arriving fact functionality does it provide? And which data stores does it actually connect to?

etl data integration paper  ETL with Pentaho Data Integration When evaluating a data integration tool, you need to ask whether it handles dimension and fact transformations in a robust manner. You also need to determine how it handles error processing, and captures changes to dimensional data across time. Does it include reusable objects? What late-arriving fact functionality does it provide? And which data stores does it actually connect to? Read More

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 quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, and find out why you need an enterprise-wide approach to data management.

etl data integration paper  component includes a batch-oriented ETL product (BusinessObjects Data Integrator), an enterprise information integration tool for on-demand data access to a variety of data sources (BusinessObjects Data Federator), and a set of packaged data integration solutions (BusinessObjects Rapid Marts™) for enterprise applications such as Oracle, PeopleSoft, and Siebel. Data quality -a component for the profiling, cleansing, enhancement, matching, consolidation, and monitoring of data (BusinessObjects Data Insigh 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 performs and scales well, you need to get three things right: the hardware configuration, the data model, and the data loading process. Learn how designing these three things correctly can help you scale your EDW without constantly tuning or tweaking the system.

etl data integration paper  via another set of ETL processes. It is in this layer data begins to take shape and it is not uncommon to have some end-user application access data from this layer especially if they are time sensitive, as data will become available here before it is transformed into the dimension / performance layer. Traditionally this layer is implemented in the Third Normal Form (3NF). Optimizing 3NF Optimizing a 3NF schema in Oracle requires the three Ps – Power, Partitioning and Parallel Execution. Power means tha Read More

Enterprise Information Management: Strategy, Best Practices, and Technologies on Your Path to Success


New data sources, unstructured data, and greater volumes of data than ever before are creating an information overload. Plus, customers’ demands for faster service stress front-office applications, while parallel demands from internal users place greater demands on back-office systems. Before you discover that your data quality has been rendered ineffective, consider adopting enterprise information management (EIM).

etl data integration paper  Use Information Management Software ETL Data Quality Metadata Management Master Data Management (MDM) In Closing Executive Summary When faced with information management issues, particularly those in a cross-functional setting, many business and IT professionals turn, albeit often unwittingly, toward Enterprise Information Management (EIM) . EIM is the effort and practice of reaching across all data and application silos embedded in the organization’s operating infrastructure; then binding those reposit Read More

Optimizing Gross Margin over Continously Cleansed Data


Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards are automated data cleansing, systematic management of data processes, and margin optimization. Real dollars can be reclaimed in the supply chain by making certain that every byte of product information is accurate and synchronized, internally and externally.

etl data integration paper  Data Product PDM | ETL Product Data | ETL Product Data Analyst | ETL Product Data Base | ETL Product Data Feed | ETL Product Data File | ETL Product Data Information | ETL Product Data Mastering | ETL Product Data Services | Read More

Avoiding the Four Data Display Pitfalls in Dashboard Design


Presenting data and results is one of the fundamental stages of every business intelligence (BI) or business performance (BPM) deployment. Data is also important when adopting a new solution, and for the overall success of a BI project—even when the project stage does not represent any major technical challenge. A dashboard is the main screen by which end users, executives, managers,

etl data integration paper  the Four Data Display Pitfalls in Dashboard Design Presenting data and results is one of the fundamental stages of every business intelligence (BI) or business performance (BPM) deployment. Data is also important when adopting a new solution, and for the overall success of a BI project—even when the project stage does not represent any major technical challenge. A dashboard is the main screen by which end users, executives, managers, and information workers can see data generated by the BI Read More

Securing Edge Data at the Center


Even as enterprises focus relentlessly on consolidation of data centers, they continue to aggressively expand the roles and numbers of branch offices, often located in remote locations that are difficult to support and protect. That poses the issue of how to protect data on the edge of the network, which may be subject to a variety of risks. Data centers are built to secure systems and data, and to help ensure business continuity and recovery after interruptions and disasters. Remote offices, on the other hand, generally lack the protections and defenses typically employed by data centers to keep out the unwanted and those who intend to steal or otherwise harm an organization’s data.

Branch converged infrastructure solutions from Riverbed Technology project data from the data center to remote offices. SteelFusion architecture eliminates the need to manage servers, storage, and backup in remote locations, radically reducing the operational burden on the company’s IT managers while increasing their control over the infrastructure.

etl data integration paper  Edge Data at the Center Even as enterprises focus relentlessly on consolidation of data centers, they continue to aggressively expand the roles and numbers of branch offices, often located in remote locations that are difficult to support and protect. That poses the issue of how to protect data on the edge of the network, which may be subject to a variety of risks. Data centers are built to secure systems and data, and to help ensure business continuity and recovery after interruptions and Read More

IBM Announces IBM Security Intelligence with Big Data


IBM has announced IBM Security Intelligence with Big Data, an offering that combine big data analytics with security intelligence capabilities for addressing both internal and external cyber security threats. The solution aims to provide a comprehensive offering for security analysts to extend their capabilities in detection and prevention. Made in IBM Labs, Security Intelligence

etl data integration paper  Announces IBM Security Intelligence with Big Data IBM has announced IBM Security Intelligence with Big Data , an offering that combine big data analytics with security intelligence capabilities for addressing both internal and external cyber security threats. The solution aims to provide a comprehensive offering for security analysts to extend their capabilities in detection and prevention. Made in IBM Labs, Security Intelligence with Big Data enables big data analysis with real-time correlation Read More

Epicor Announces iScala Integration with Epicor ICE Business Architecture


Epicor Software Corporation announced the latest release of Epicor iScala (version 3.0) enterprise resource planning (ERP) solution, featuring integration to the Epicor ICE business architecture. Epicor Software Corporation provides business software solutions for manufacturing, distribution, retail, and services organizations. The integration of Epicor iScala with Epicor ICE will add next

etl data integration paper  Announces iScala Integration with Epicor ICE Business Architecture Epicor Software Corporation announced the latest release of Epicor iScala (version 3.0) enterprise resource planning (ERP) solution, featuring integration to the Epicor ICE business architecture. Epicor Software Corporation provides business software solutions for manufacturing, distribution, retail, and services organizations. The integration of Epicor iScala with Epicor ICE will add next-generation technologies to the iScala Read More

St. Marys Paper Ltd.: Customer Profile


St. Marys Paper Ltd. is a pulp and paper mill located in Sault Ste. Marie, Ontario (Canada). In 1989, it implemented a CHAMPS computerized maintenance management system (CMMS) to help reduce costs and improve efficiencies. In 1998, St. Marys decided to investigate potential vendors for a maintenance system upgrade. After reviewing several vendors, the mill again turned to CHAMPS.

etl data integration paper  Marys Paper Ltd.: Customer Profile CHAMPS solutions are based on the expertise in the processes that drive our customers’ operations, resulting in a customer base from varied industries, government, and educational institutes. Source : CHAMPS Inc. Resources Related to St. Marys Paper Ltd.: Customer Profile : St. Marys Paper Ltd. (Wikipedia) St. Marys Paper Ltd.: Customer Profile Maintenance System is also known as : Advanced Maintenance Systems , Based Maintenance System , Best System Maintenance , Read More

The Operational Data Lake: Your On Ramp to Big Data


Companies recognize the need to integrate big data into their real-time analytics and operations, but this poses a lot of technical and resource challenges. Meanwhile, those organizations that have operational data stores (ODSs) in place find that, while useful, they are expensive to scale. The ODS gives real-time visibility into operational data. While more cost-effective than a data warehouse, it uses outdated scaling technology, and performance upgrades require very specialized hardware. Plus, ODSs just can't handle the volume of data that has become a matter of fact for businesses today.

This white paper discusses the concept of the operational data lake, and its potential as an on-ramp to big data by upgrading outdated ODSs. Companies that are building a use case for big data, or those considering an upgrade to their ODS, may benefit from this stepping stone. With a Hadoop relational database management system (RDBMS), companies can expand their big data practices at their own pace.

etl data integration paper  Operational Data Lake: Your On Ramp to Big Data Companies recognize the need to integrate big data into their real-time analytics and operations, but this poses a lot of technical and resource challenges. Meanwhile, those organizations that have operational data stores (ODSs) in place find that, while useful, they are expensive to scale. The ODS gives real-time visibility into operational data. While more cost-effective than a data warehouse, it uses outdated scaling technology, and performance Read More

Kronos and Axsium Tackle Retail Workforce Big Data


Kronos and Axsium Group have jointly launched a retail store performance plug-in on top of Kronos Workforce Analytics to sift through big data for guided decision making and business performance tracking.

etl data integration paper  and Axsium Tackle Retail Workforce Big Data At the National Retail Federation''s (NRF’s) 104 th Annual Convention and Expo, Kronos and Axsium Group jointly launched a retail store performance plug-in on top of Kronos Workforce Analytics, which leverages MicroStrategy’s business intelligence (BI) tools. Axsium’s retail industry know-how is being used to sift through big data to guide decision making and track business performance, helping corporate, store, and field managers.   The goal is to Read More

The Benefits of CRM/ERP Integration


Superior customer service is the best way for companies to stand out. That’s made customer relationship management (CRM) software more important than ever, so it’s no surprise that a lot of ERP vendors are integrating CRM functionality into their solutions. In this Sage-sponsored podcast, CRM analyst Raluca Druta explains how that helps companies automate workflows, improve communication, and enhance the customer experience.

etl data integration paper   Read More

About Big Data


There may not be a consensus with respect to just how big "big data" is, but not many people will disagree that managing these huge amounts of data represents a challenge. TEC research analyst Jorge Garcia discusses the key issues surrounding big data, the different ways to manage it, and the major vendors offering big data solutions.

etl data integration paper  Big Data There is no general consensus with respect to how big big data is—some companies deal with data volumes in the order of terabytes or even petabytes—but not many people will disagree that managing these huge amounts of data represents a challenge. It’s fair to say that we’re dealing with big data when traditional relational databases and systems are no longer sufficient. Things as simple as data storage and movement between repositories can have a big impact on the organization. Big da Read More

Rover Data Systems


Rover Data Systems, Inc. was founded with the express purpose of providing an Enterprise Software Solution to address the needs of small and medium-sized Manufacturers and Distributors. During the time that Rover Data Systems has been in business it has accumulated a satisfied customer base, all running their business functions on Millennium III (M3) software. These companies range from the small (<$10M) to the mid-range (>$100M) and cover a broad range of industries from Electronics Manufacturing to Auto Aftermarket Manufacturing to distribution and service. Over the years, the company has also distinguished itself by providing excellent service to its growing installed base. In fact, Rover Data Systems has never lost an installed account to a competitive software product. The first customer still runs all of their operations on the Millennium III Enterprise System.

etl data integration paper  Data Systems Rover Data Systems, Inc. was founded with the express purpose of providing an Enterprise Software Solution to address the needs of small and medium-sized Manufacturers and Distributors. During the time that Rover Data Systems has been in business it has accumulated a satisfied customer base, all running their business functions on Millennium III (M3) software. These companies range from the small ( Read More