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Documents related to » enterprise data warehousing bi


A Definition of Data Warehousing
There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing

enterprise data warehousing bi  data warehouses are generally enterprise in scope. Also, data warehouses can be volatile. Due to the large amount of storage required for a data warehouse, (multi-terabyte data warehouses are not uncommon), only a certain number of periods of history are kept in the warehouse. For instance, if three years of data are decided on and loaded into the warehouse, every month the oldest month will be rolled off the database, and the newest month added. Ralph Kimball provided a much simpler definition of a Read More...
Microsoft Goes Their Own Way with Data Warehousing Alliance 2000
Microsoft Corp. (Nasdaq: MSFT) today announced that 47 applications and tools from 39 vendors throughout the industry have qualified for Microsoft« Data

enterprise data warehousing bi  umbrella term for its enterprise network architecture based on COM and Windows 2000 (NT 5.0)). The Windows DNA platform is advertised as Microsoft''s comprehensive platform for building Web applications. We believe this will only serve to further fragment the data warehousing market. Obviously, Oracle is not a member of this alliance, and other applications show spotty representation. For example, in the enterprise resource planning space, Baan NV is represented, but SAP AG and PeopleSoft are not. In Read More...
Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio
Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the

enterprise data warehousing bi  the role of the enterprise data warehouse (EDW). 4.    What are the main features of Kognitio’s WX 2 appliance? The Kognitio appliance is architected to allow users to analyze data—and not just store it. The more complex the analytics, the better. For this reason, the Kognitio appliance has the highest number of central processing unit (CPU) cores per unit of data than any other data warehouse appliance on the market. Typically, our appliances ship with one CPU core per 20GB of data. The Kognitio Read More...
TDWI Vegas: How to Build an Enterprise Data Strategy
It takes a lot of commitment, preparation, and time to fully embrace a successful enterprise data strategy. Managing data within a corporation has reached an

enterprise data warehousing bi  How to Build an Enterprise Data Strategy It takes a lot of commitment, preparation, and time to fully embrace a successful enterprise data strategy. Managing data within a corporation has reached an all-new level of importance. Data is being collected from extremely diverse sources and fully dissected; as the subject of increasingly complex processes, data quality must be maintained. In addition, data management and manipulation must comply with several types of regulations. Data is now an extremely 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

enterprise data warehousing bi  its way to an enterprise data warehouse or data marts, a data quality framework creates a screening process that measures the purity of the data and corrects any inconsistencies found. This article walks the reader through a typical data quality strategy by illustrating, through examples, how and where quality issues occur, and the approaches available to inhibit the proliferation of these issues. We look at a subset of vendors that provide powerful and rich solutions to protect enterprise data quality. Read More...
Lowering Enterprise Software Total Cost of Ownership through an Enterprise Application Training Platform
More than any other factor, ineffective training is responsible for inflating total cost of ownership (TCO) for software investments. Ineffective training

enterprise data warehousing bi  Enterprise Software Total Cost of Ownership through an Enterprise Application Training Platform More than any other factor, ineffective training is responsible for inflating total cost of ownership (TCO) for software investments. Ineffective training approaches include starting too late; assuming go-live is the completion of the project; and failing to teach users about the processes the software is designed to support. Successfully lowering TCO means embracing e-learning, blended training solution 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

enterprise data warehousing 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...
Data Quality: Cost or Profit?
Data quality has direct consequences on a company''s bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and

enterprise data warehousing bi  third-party data with the enterprise application. Overall, some of the available techniques are Data-validating process rules Centralized database Data cleansing technology Data scrubbing Data scrubbing is the process of fixing or eliminating individual pieces of data that are incorrect, incomplete or duplicated before the data is passed to a data warehouse or another application. The aim of data scrubbing is two-fold: eliminate errors and redundancy, and bring uniformity to different data sets that may Read More...
V2 Enterprise
V2 Enterprise is an enterprise resource planning (ERP) software solution for wholesalers and distributors. It can help automate many business operations

enterprise data warehousing bi  Enterprise V2 Enterprise is an enterprise resource planning (ERP) software solution for wholesalers and distributors. It can help automate many business operations, including order entry, sales, purchasing, inventory, CRM, and more. The product offers accurate, real-time views of business information. All screens and menus have a look and feel that is similar to many Microsoft products. V2 Enterprise software is designed to run on Windows-based servers, using local and wide-area technology. 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

enterprise data warehousing bi  by establishing a private cloud/enterprise cloud. Learn which best practices can ensure business continuity throughout an organization with a distributed information technology (IT) infrastructure. Read More...
Business Intelligence Portal (BI Portal) : Business Intelligence (BI) Competitor Analysis Report
This business intelligence (BI) knowledge base covers a full range of BI functionality. BI applications enable real time, interactive access, analysis, and

enterprise data warehousing bi  Intelligence Portal (BI Portal) : Business Intelligence (BI) Competitor Analysis Report This business intelligence (BI) knowledge base covers a full range of BI functionality. BI applications enable real time, interactive access, analysis, and manipulation of mission-critical corporate information. BI users are able to access and leverage vast amounts of information to analyze relationships and understand trends that support business decisions. This knowledge base covers everything from data Read More...
Oco’s
Last week my peer, Russell Cooper and I completed a successful certification of Oco Software’s business intelligence (BI) solution. Oco was represented by

enterprise data warehousing bi  interfaces to known database-based enterprise resource planning (ERP) systems to retrieve the information for any of the categories listed above, taking into account that some categories may not be available from the client’s ERP business system extract data from flat (text) files and from other sources, such as spreadsheets The reports and dashboards that are provided allow a company to get into the BI analysis mode in very short order. Oco has stated that it can deliver a full solution in as few as Read More...
Business Basics: Unscrubbed Data Is Poisonous Data
Most business software system changes falter--if not fail--because of only a few root causes. Data quality is one of these root causes. The cost of high data

enterprise data warehousing bi  Basics: Unscrubbed Data Is Poisonous Data Introduction A manufacturing company experienced continually increasing overhead costs in its purchasing and materials departments. It also began to see increased inventory levels and production line delays. A consulting firm was brought in to analyze the company''s materials management processes and the level of competence of its materials and procurement staff. After mapping the entire process, from the creation of a bill of materials through post-sales Read More...
Meet PCI DSS Compliance Requirements for Test Data with Data Masking
Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a

enterprise data warehousing bi  PCI DSS Compliance Requirements for Test Data with Data Masking Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more. Read More...

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