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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

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...
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

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...
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

building the data warehouse bi  We recommend that customers building warehouses from legacy data, which is typically dirty or non-conformed, evaluate the solution provided by Ardent. The vendor should be questioned on how tightly the products will be integrated. 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

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

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...
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.

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...
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

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...
Customer Centricity: The Devil Lies in the Details
The purpose of this white paper is to help readers understand the importance of customer-centricity in today''s highly competitive and constantly evolving

building the data warehouse bi  Centricity: The Devil Lies in the Details The purpose of this white paper is to help readers understand the importance of customer-centricity in today''s highly competitive and constantly evolving business landscape. Its aim is to remove misconceptions and guide you to achieve true customer-centricity. Read More...
Understanding BI: The Top 10 Business Questions That Drive Your BI Technology Requirements
Read this white paper to learn the questions you should be asking to determine your business intelligence technology requirements and better understand your BI

building the data warehouse bi  BI: The Top 10 Business Questions That Drive Your BI Technology Requirements Read this white paper to learn the questions you should be asking to determine your business intelligence technology requirements and better understand your BI solution needs. Read More...
Warehouse Control Systems: Orchestrating Warehouse Efficiency
You’re probably already familiar with the role of a warehouse management system (WMS). But a warehouse control system (WCS)? In your warehouse, a WCS can play

building the data warehouse bi  Control Systems: Orchestrating Warehouse Efficiency You’re probably already familiar with the role of a warehouse management system (WMS). But a warehouse control system (WCS)? In your warehouse, a WCS can play the role of a conductor by ensuring the individual pieces of material-handling equipment—such as conveyors and sorters—perform with harmony, precision, and efficiency. Find out how implementing a WCS execution system can complement your WMS’s planning abilities. 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

building the data warehouse bi  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. Read More...
Keeping the Right People: Making the Right Decisions When It Counts
Corporate leaders must look carefully at how their companies are organized and staffed, and keep the “right” people. But who must be kept and who can you afford

building the data warehouse bi  the Right People: Making the Right Decisions When It Counts Corporate leaders must look carefully at how their companies are organized and staffed, and keep the “right” people. But who must be kept and who can you afford to let go? If you don’t know how to re-engineer your staff, you might not be saving as much as you think. Discover methods and technologies that can help you avoid the pitfalls inherent in any reduction in workforce—to save money while you retain the best talent. Read More...
Performance-Driven Learning: Putting the Horse Before the Cart to Lead Organizational Growth
In successful organizations today, putting the “horse before the cart” means performance must drive development goals and learning priorities—not the other way

building the data warehouse bi  Driven Learning: Putting the Horse Before the Cart to Lead Organizational Growth In successful organizations today, putting the “horse before the cart” means performance must drive development goals and learning priorities—not the other way around or one without the other. Learning management should be less about coordinating resources and serving up just-in-time courses, and more about how worker development is intrinsically a part of a larger organizational development process to impact Read More...
The Benefits of Running Your Business Software in the Cloud: Strategies for Success
With the growth of cloud computing, businesses must understand their application footprint, how applications and business processes cross departments and lines

building the data warehouse bi  Benefits of Running Your Business Software in the Cloud: Strategies for Success With the growth of cloud computing, businesses must understand their application footprint, how applications and business processes cross departments and lines of business, and how to optimize their applications architecture around collaboration and process. This white paper shows how businesses can position themselves for cost-effective growth and improved competitiveness by combining an integration applications strategy Read More...
The Net Market of the August Moon
Calico Commerce has opened up a subsidiary to sell its business-to-business software products to the Japanese market.

building the data warehouse bi  the company puts into building training programs for alliance partners and developers will be of benefit on both sides of the Pacific. Read More...

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