X
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 solutions by funtionality, so that you can make accurate and informed software purchasing decisions.
Compare Now
 

 building the data warehouse bi

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  

Evaluate Now

Documents related to » building the data warehouse bi

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

building the data warehouse bi  as well as the building of dimensional hierarchies—for online analytical processing (OLAP). It seems impressive and merits further reading. •    The company does claim to support the “no data warehouse” model. Data from a number of sources can—in theory—be loaded into memory. Of course, memory requirements are proportional to the size of the data. •    Does the company support data quality and data cleansing? It seems to support data cleansing on the fly, but I think this needs some Read More

Has The BI Market Consolidation Been Crystal-Clearly Actuated? Part Three: Competition and User Recommendations.


Users choosing point planning or BI products should consider the integration infrastructure and effort needed to combine these products versus the cost and functionality issues of choosing an integrated CPM product suite (if still possible to find). Mission-critical issues like scalability, reliability, manageability and ease-of-use go without saying.

building the data warehouse bi  for CPM initiative towards building the entire Corporate Information Factory (CIF) would be to identify the most painful points and to try solving them by leveraging existing BI/analytics initiatives, while bewaring of being inflexible and of automatically settling for an incumbent vendor if its products and plans don not match up well to your strategic requirements. Also, one should not fall in the trap of low-hanging fruit and easily obtainable short-term return on investment benefits (ROI) at the 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.

building the data warehouse bi  same dataset, or by building multiple models by tuning the same algorithm until the desired level of accuracy is achieved. Predictions against the model can be compared to known results to arrive at a measure of accuracy. It is advisable to separate data used for testing a model from data used to train a model. A cumulative gains chart is among several techniques that test the accuracy of a model. In a cumulative gains chart, the accuracy of a model is estimated for a target value chosen by the user. For 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.

building the data warehouse bi  A unified approach to building organization-wide application systems is paramount to ensure that entities are described consistently across multiple systems within an organization. Master data management is growing in importance and relevance. Although this article does not delve into this subject, it is important for organizations to put in place the necessary tools and processes for master data management. Data through the Looking Glass Data quality issues can certainly be minimized in data sources. Read More

BI State of the Market Report


IT departments rarely know as much about a business as the business people themselves. But business users still depend on IT to deliver answers related to the information that they receive. Learn how business intelligence (BI) 2.0—also known as collaborative BI—is helping business users create and modify their own reports, share and enrich information, and provide feedback to each other and to information producers.

building the data warehouse bi  for concept testing, brand building, and customer service. Indeed, the Internet is expected to become a key influencer in the first two stages of the consumer decision-making process: product awareness and information gathering. By 2010, organizations can also expect to make more than 10 percent of overall sales online-double what it is now. Different Universe, Different Rules But leveraging the digital universe requires marketers to look beyond traditional tactics. The Internet is shaped by a unique set Read More

Optimizing the Mobile Workforce: Maximizing the Value of Your Investment in Mobility


Today, enterprises leverage mobility for more than just communication. They want to maximize the productivity of the mobile workforce. That means choosing mobile devices, applications, policies, and services aligned with enterprise goals. What matters most to enterprises today is equipping the mobile workforce for success at the right cost and with acceptable security.

Optimizing the mobile workforce is a matter of finding the right balance between cost, security, and usability. Usability correlates with productivity, which is maximized by the right devices, applications, and support. Optimizing all these factors is a significant challenge, but taking a systematic approach can help an enterprise maximize the value of investment in mobility.

building the data warehouse bi  the Mobile Workforce: Maximizing the Value of Your Investment in Mobility Today, enterprises leverage mobility for more than just communication. They want to maximize the productivity of the mobile workforce. That means choosing mobile devices, applications, policies, and services aligned with enterprise goals. What matters most to enterprises today is equipping the mobile workforce for success at the right cost and with acceptable security. Optimizing the mobile workforce is a matter of finding Read More

The Transformation of the Lean Enterprise


Over the past 30–40 years, manufacturers have made dramatic leaps in improving their businesses by using lean manufacturing and Six Sigma techniques. The systems these businesses use, however, have changed relatively little in comparison. The ERP systems manufacturing companies rely on to run their business are greatly at odds with the strategy and processes lean manufacturers use to maintain their competitive advantage.

building the data warehouse bi  Transformation of the Lean Enterprise Over the past 30–40 years, manufacturers have made dramatic leaps in improving their businesses by using lean manufacturing and Six Sigma techniques. The systems these businesses use, however, have changed relatively little in comparison. The ERP systems manufacturing companies rely on to run their business are greatly at odds with the strategy and processes lean manufacturers use to maintain their competitive advantage. Read More

Data Pro Accounting Software


Data Pro Accounting Software, Inc., privately owned, is based in St. Petersburg, Florida and was originally incorporated in June of 1985. The goal of the corporation has always been to develop and market a full line of accounting software products for a wide range of market segments, on a broad spectrum of operating systems environments such as DOS, Windows and UNIX.

building the data warehouse bi  Pro Accounting Software Data Pro Accounting Software, Inc., privately owned, is based in St. Petersburg, Florida and was originally incorporated in June of 1985. The goal of the corporation has always been to develop and market a full line of accounting software products for a wide range of market segments, on a broad spectrum of operating systems environments such as DOS, Windows and UNIX. Read More

A Guide to Microsoft’s BI Ecosystem—Understanding Microsoft’s Approach to BI for the Enterprise


In the last 4 to 5 years, the business intelligence (BI) and data management scene has evolved at an incredibly fast pace. Software pioneer Microsoft has extended the reach of its enterprise software solutions to the BI and analytics space by offering a wide variety of software applications to enterprises for performing BI and analytics capabilities based on different organizational needs and requirements. Aiming to help users with their BI software selection efforts, this research series explores the complete Microsoft BI product stack, describing the outstanding features of each of Microsoft’s BI offerings. The first part of this series describes the development of the Microsoft BI product landscape and provides insight into Microsoft’s set of enterprise BI solutions.

building the data warehouse bi  Guide to Microsoft’s BI Ecosystem—Understanding Microsoft’s Approach to BI for the Enterprise In the last 4 to 5 years, the business intelligence (BI) and data management scene has evolved at an incredibly fast pace. Software pioneer Microsoft has extended the reach of its enterprise software solutions to the BI and analytics space by offering a wide variety of software applications to enterprises for performing BI and analytics capabilities based on different organizational needs and requirements. Read More

The Importance of Mentoring in the Workplace


Oracle HCM luminary Row Henson along with Aaron Green tell the story of their mentor/mentee relationship. Pick up tips for structuring meaningful mentor programs in your organization.

building the data warehouse bi  Importance of Mentoring in the Workplace Read More

Transenterprises - The Emerging Business Model of the Twenty First Century


During the last two decades, many of the old vertically integrated enterprise/empires have splintered into numerous core-competency-focused firms, loosely bound into the so-called virtual extended enterprises.

building the data warehouse bi  will come closer to building true transenterprises. Industry differences The emergence of transenterprises will look very different in different industries. Elements of transenterprises have existed in the chemicals industry for a while, such as fence plantswhere a company builds a collocated plant to take the byproduct of another company''s plant, convert it, and in some cases sell it back to the first company. These represent very long-term commitments of assets. In automotive, the desire for Read More

Client/Server and the Internet Converge: The Smart Client Application


Everyone wants the biggest bang for their IT buck—the most functionality and ease of use, deployed to the widest audience, for the lowest cost. But for years, packaged software, despite high up-front and recurring costs, has been a must-have. However, business professionals are beginning to recognize a more efficient approach to their software needs: the smart client.

building the data warehouse bi  Server and the Internet Converge: The Smart Client Application Everyone wants the biggest bang for their IT buck—the most functionality and ease of use, deployed to the widest audience, for the lowest cost. But for years, packaged software, despite high up-front and recurring costs, has been a must-have. However, business professionals are beginning to recognize a more efficient approach to their software needs: the smart client. Read More

TCO Analysis of a Traditional Data Center vs. a Scalable, Containerized Data Center


Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a total cost of ownership (TCO) savings of 30% compared with traditional, built-out data center power and cooling infrastructure. Avoiding overbuilt capacity and scaling the design over time contributes to a significant percentage of the overall savings. This white paper provides a quantitative TCO analysis of the two architectures, and illustrates the key drivers of both the capex and opex savings of the improved architecture.

building the data warehouse bi  Analysis of a Traditional Data Center vs. a Scalable, Containerized Data Center Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a total cost of ownership (TCO) savings of 30% compared with traditional, built-out data center power and cooling infrastructure. Avoiding overbuilt capacity and scaling the design over time contributes to a significant percentage of the overall savings. This white paper provides a quantitative TCO analysis of the Read More

The Critical Role of the Enterprise Product Catalog: Cost, Time-to-market, and the Customer Experience


Many companies now combine services in pre-packaged, high-value bundles to reduce customer churn rates. And these bundled services have proved to bring returns. But they also bring complexity—some major service providers may have over 150 product catalogs. Get tips on how to overcome the problems of bundling, and avoid catalog duplication in your product or service offering, with product information management (PIM).

building the data warehouse bi  Critical Role of the Enterprise Product Catalog: Cost, Time-to-market, and the Customer Experience Many companies now combine services in pre-packaged, high-value bundles to reduce customer churn rates. And these bundled services have proved to bring returns. But they also bring complexity—some major service providers may have over 150 product catalogs. Get tips on how to overcome the problems of bundling, and avoid catalog duplication in your product or service offering, with product information Read More