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Software Functionality Revealed in Detail
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 bi building the data warehouse

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

Business Intelligence (BI) RFI / RFP Template

Reporting and Analysis, Analytics, Data Warehousing, Workflow, Data Integration, Support, and System Requirements  

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Documents related to » bi building the data warehouse

Ask the Experts Question: Do Organizations Really Need a Physical Data Warehouse Structure?


We recently had a question from one of our readers (through our Ask the Experts page) discussing QlikView’s approach to data collection. Reader’s Question “QlikView says its innovative way of collecting data and not needing a physical data warehouse (DW) structure is the right thing to do in DW/business intelligence (BI) solutions. Can one expect to build a sustainable / scalable corporate

bi building the data warehouse  vital part of the BI process –and implementations fail mostly due to unreliable data. Data quality “on the fly” is a tricky business. To add to the above points, organizations have forced DW and BI solutions to deliver the results of enormous amounts of data queries in a short period of time. With the increasingly use of 64-bit processors and hardware with new scalable and massive parallel processing (MPP) capabilities, it is now possible to store bigger amounts of data in memory  and take 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. Consequently, data mining technology becomes important. Here is a framework to help understand the data mining process.

bi building the data warehouse  techniques naturally fit in BI environments. Architecture of a Data Mining System In describing the architecture of a data mining system, we assume the presence of a data warehouse or data store containing organizational data. Although data mining can be applied to a wide range of data sources, it is beneficial to start with a data warehouse in which facts and dimensions have been identified and a data cleansing framework is in place in order to ensure good data quality. 1. The Knowledge Base The crust Read More

Are Data Warehouses as Dead as the Dodo? (LiveDashBoard and QlikView)


If you think you have seen everything in the BI space, I’m sorry, but you may be wrong. Traditional BI solutions for large enterprises consider the data warehouse to be the basis of BI solutions. QlikTech and PRELYTIS, two innovative software providers I recently contacted, could be changing this paradigm. What follows are some of the insights and interesting proposals I gleaned from our

bi building the data warehouse  innovative way of developing BI dashboards. LiveDashBoard enables users to develop extensively interactive dashboards to interact and collaborate with other users. Data is gathered from widely diverse sources into data dictionaries within LiveDashBoard, at which point all data is merged to created data catalogs. Without any script, it’s possible for users to store data from all sources, store the data in a proprietary analytic database, and start the analysis and data visualization process, avoiding Read More

More Data is Going to the Cleaners


WESTBORO, Mass., November 29, 1999 - Ardent Software, Inc. (Nasdaq: ARDT) today announced a strategic partnership with Firstlogic, Inc., the developer of i.d.Centric data quality software that helps companies cleanse and consolidate data in database marketing, data warehousing, and e-business applications. Under the partnership agreement Firstlogic will develop and support a link between its customer data quality tools and Ardent's DataStage Suite.

bi building the data warehouse  extensive matching and consolidation capabilities inside the DataStage suite, the most comprehensive Business Intelligence (BI) Infrastructure solution available. As data has become increasingly strategic to corporate growth, monitoring and maintaining the highest level of data quality are essential, said Art Petty, Firstlogic vice president of marketing. Our customer data cleansing and matching tools work with Ardent''s DataStage Quality Assurance solutions to provide powerful, complete data quality 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 environment. This article looks at issues in data quality and how they can be addressed.

bi building the data warehouse  primary purpose of a BI solution is to provide a business with the necessary information to support better decision making. This requires the integration of data within and external to an enterprise. A sound data quality strategy protects an enterprise from inconsistencies and anomalies that arise from the complexity of integrating multiple systems and from hidden problems that are uncovered only through sophisticated analysis techniques. Data quality solutions provide organizations with the ability to Read More

The Versatile Group, Inc.


Founded in 1992, the Versatile Group is a privately held corporation headquartered in Dallas, Texas (US). The company provides business accounting software products that leverage proven technologies. Its customers represent a wide spectrum of business and industries.

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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 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 view of the data terrain necessary to support big data and the real-time needs of innovative companies.

bi building the data warehouse  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 Read More

Support for Old Releases-Good for the User but Is It Good for the Vendor?


The decision to support older releases is like any other business decision, it is all about the money and profitability. If the vendor can make money at providing support for older releases, it is good business for the vendor. The decision may be sugar-coated with pronouncements about doing what is good for the customer, but both the vendor and the customers know that the first consideration must be the money.

bi building the data warehouse  continued support for recently stabilized Point.Man , albeit with the option to migrate to the recently acquired and more promising SyteLine product) would be some examples of the vendors that have announced that they will support the respective aged versions of their products. These vendors are encouraging their customers to consider migration at the customers'' convenience some time in the future. Also notable was the recent PeopleSoft pledge to continue to enhance and support the former J.D. Edwards Read More

The Automotive Supply Chain in the New Normal: Analysis of the Industry and its Supply Chain Opportunities


While change is never easy, continuing with an outdated process does not help companies to stay competitive. Learn how transforming your S&OP process from a supply-demand balancing exercise to a strategic approach that integrates your entire business can increase supply chain visibility, improve customer service, and ensure a better balance between demand, capacity, and profitability. And know the Top 10 myths in S&OP.

bi building the data warehouse  can increase supply chain visibility, improve customer service, and ensure a better balance between demand, capacity, and profitability. And know the Top 10 myths in S&OP. Read More

Moving to the Cloud: Understanding the Total Cost of Ownership


In Moving to the Cloud: Understanding the Total Cost of Ownership, you'll learn about the hard and soft costs associated with both cloud-based and ...

bi building the data warehouse  moving cloud understanding total cost ownership,moving,cloud,understanding,total,cost,ownership,cloud understanding total cost ownership,moving understanding total cost ownership,moving cloud total cost ownership,moving cloud understanding cost ownership. Read More

The Business Model for the 21st Century Is Project-centric


Cost, time, resources, cash, and risk have always been the basics of project management. But as business as a whole becomes more project- rather than process-oriented, management technologies must in turn become more project-centric.

bi building the data warehouse  such as quality, skills availability, and environmental concerns, as well as risks such as the potential impact on brand and reputation. The focus must shift from backward-looking financial measurement based on accounts and cost centers, to company-wide management of cost, time, resources, cash, and risks, supported by real-time information. This project-centric concept needs to be instilled throughout the business, at all levels and across all departments. Many managers and executives are left with Read More

The Many Angles to Dive into the BPM Water


These days, the concepts of business process management (BPM) have become more unified, and BPM functionality from different vendors seems to be more converged. However, organizations may have their own reasons for adopting BPM—different business features and requirements will lead to different matching points between adopting organizations and BPM solutions. In the mean time, BPM vendors are

bi building the data warehouse  Management Server provides the capability to define, maintain, and deploy business rules in order to build rules-based process applications. It is true that today’s complicated business environment requires well-rounded and timely decisions to execute processes and that rules engines help maximize the automation of the decision making. Acquiring Process Know-how When Adopting BPM A Chinese saying states “to teach fishing is better than to give fish”. Typically, a BPM solution focuses more on Read More

Governance from the Ground Up: Launching Your Data Governance Initiative


Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys.

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How to Transform Your Operations Today with the Technology of the Future


Radio frequency identification (RFID) is the most rapidly growing segment in today's automatic identification industry. The creation of the Auto-ID Electronic Product Code (EPC) Standard coupled with affordable RFID tag costs, and Wal-Mart's mandated adoption of the standard for all its suppliers, will drive rapid deployment. Learn how RFID will evolve as the cost and capability of deploying the system becomes more operationally feasible and economical, and of the benefits it will bring.

bi building the data warehouse  as the cost and capability of deploying the system becomes more operationally feasible and economical, and of the benefits it will bring. Read More

E-Procurement Usability: The Good, The Bad and The Ugly


Adoption of enterprise resource planning (ERP)-based E-Procurement solutions has hit a plateau in recent years due to inherent usability deficiencies, exacerbated by heightened user expectations. It is now possible to leverage all the existing infrastructure of leading platforms with a friendlier, consumer-like user interface (UI) that can be rapidly deployed with minimal cost or change management impact. Find out how.

bi building the data warehouse  Procurement Usability: The Good, The Bad and The Ugly Adoption of enterprise resource planning (ERP)-based E-Procurement solutions has hit a plateau in recent years due to inherent usability deficiencies, exacerbated by heightened user expectations. It is now possible to leverage all the existing infrastructure of leading platforms with a friendlier, consumer-like user interface (UI) that can be rapidly deployed with minimal cost or change management impact. Find out how. Read More