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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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 enterprise data warehousing 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)

Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications provide users with valuable insights into key operating information to quickly identify business problems and opportunities. Users are able to access and leverage vast amounts of information to analyze relationships and understand trends that ultimately support business decisions. These tools prevent the potential loss of knowledge within the enterprise that results from massive information accumulation that is not readily accessible or in a usable form. It is an umbrella term that ties together other closely related data disciplines including data mining, statistical analysis, forecasting, and decision support. 

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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 describes the process of defining, populating, and using a data warehouse. Creating, populating, and querying a data warehouse typically carries an extremely high price tag, but the return on investment can be substantial. Over 95% of the Fortune 1000 have a data warehouse initiative underway in some form.

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

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.

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

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 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

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

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 Warehousing Alliance 2000. Alliance members and partners are committed to delivering tools and applications based on the Microsoft Data Warehousing Framework 2000, an open architecture based on the open standards and services built into the Windows« 2000 operating system, Microsoft SQL Server 7.0 and Office 2000.

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 traditional ways to store and analyze large amounts of data are being replaced with new technologies and methodologies to manage the new volume, complexity, and analysis requirements. These include new ways of developing data warehousing, 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

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.

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

Reinventing Data Masking: Secure Data Across Application Landscapes: On Premise, Offsite and in the Cloud


Be it personal customer details or confidential internal analytic information, ensuring the protection of your organization’s sensitive data inside and outside of production environments is crucial. Multiple copies of data and constant transmission of sensitive information stream back and forth across your organization. As information shifts between software development, testing, analysis, and reporting departments, a large "surface area of risk" is created. This area of risk increases even more when sensitive information is sent into public or hybrid clouds. Traditional data masking methods protect information, but don’t have the capability to respond to different application updates. Traditional masking also affects analysis as sensitive data isn’t usually used in these processes. This means that analytics are often performed with artificially generated data, which can yield inaccurate results.

In this white paper, read a comprehensive overview of Delphix Agile Masking, a new security solution that goes far beyond the limitations of traditional masking solutions. Learn how Delphix Agile Masking can reduce your organization’s surface area risk by 90%. By using patented data masking methods, Delphix Agile Masking secures data across all application lifecycle environments, providing a dynamic masking solution for production systems and persistent masking in non-production environments. Delphix’s Virtual Data Platform eliminates distribution challenges through their virtual data delivery system, meaning your data can be remotely synchronized, consolidated, and takes up less space overall. Read detailed scenarios on how Delphix Agile Data Masking can benefit your data security with end-to-end masking, selective masking, and dynamic masking.

enterprise data warehousing bi  Data Masking: Secure Data Across Application Landscapes: On Premise, Offsite and in the Cloud Be it personal customer details or confidential internal analytic information, ensuring the protection of your organization’s sensitive data inside and outside of production environments is crucial. Multiple copies of data and constant transmission of sensitive information stream back and forth across your organization. As information shifts between software development, testing, analysis, and Read More

The Advantages of Row- and Rack-oriented Cooling Architectures for Data Centers


The traditional room-oriented approach to data center cooling has limitations in next-generation data centers. Next-generation data centers must adapt to changing requirements, support high and variable power density, and reduce power consumption and other operating costs. Find out how row- and rack-oriented cooling architectures reduce total cost of ownership (TCO), and address the needs of next-generations data centers.

enterprise data warehousing bi  Advantages of Row- and Rack-oriented Cooling Architectures for Data Centers The Advantages of Row and Rack-Oriented Cooling Architectures for Data Centers If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. In today''s always on, always available world where businesses can''t stop and downtime is measured in dollars, American Power Conversion (APC) provides protection against some of the leading causes of downtime, data loss and hardware Read More

Data Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond


For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with quality data.

enterprise data warehousing bi  Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with Read More

Alfanar IT Solutions-Enterprise Content Management


Alfanar IT, an information technology company operating in Saudi Arabia since 1995, in partnership with OpenText is providing enterprise content management (ECM) solutions to both government and private sectors—two sectors undergoing rapid automation and thus in need of ECM solutions in Saudi Arabia. Read this paper to see how alfanar IT plans to address these market needs and the improvements expected with OpenText.

enterprise data warehousing bi  with OpenText is providing enterprise content management (ECM) solutions to both government and private sectors—two sectors undergoing rapid automation and thus in need of ECM solutions in Saudi Arabia. Read this paper to see how alfanar IT plans to address these market needs and the improvements expected with OpenText. Read More

Unified Data Management: A Collaboration of Data Disciplines and Business Strategies


In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration, governance, and so on. In response to this situation, some organizations are adopting unified data management (UDM), a practice that holistically coordinates teams and integrates tools. This report can help your organization plan and execute effective UDM efforts.

enterprise data warehousing bi  Data Management: A Collaboration of Data Disciplines and Business Strategies In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration, governance, and so on. In response to this situation, some organizations are adopting unified data management (UDM), a practice that holistically coordinates teams and integrates tools. This report can help your organization plan and execute effective UDM efforts. Read More

Midmarket/Enterprise ERP Solution Comparison Guide


The Midmarket/Enterprise ERP Solution Comparison Guide makes it easy to compare the most popular ERP systems including solutions from leading vendo...

enterprise data warehousing bi  guide to midmarket and enterprise resource planning (ERP) solutions? The Midmarket/Enterprise ERP Solution Comparison Guide makes it easy to compare the most popular ERP systems—including solutions from leading vendors such as Epicor, IFS, Exact, Infor, Lawson, SAP, Microsoft, Aplicor, NetSuite, Plex, Sage, and more. At-a-glance charts give you the information you need on cost and payment options; basic, intermediate, and advanced features; platform and delivery; and vendor profiles and considerations. 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.

enterprise data warehousing 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

IBS Enterprise


IBS solutions support lean production, using long- and short-term planning, along with process-oriented methods of working. IBS's systems are intended to help companies meet customer demand and gain reliable operational control, by incorporating product configuration, distribution assembly, and demand-driven manufacturing in the supply chain environment.  

enterprise data warehousing bi  Enterprise IBS solutions support lean production, using long- and short-term planning, along with process-oriented methods of working. IBS''s systems are intended to help companies meet customer demand and gain reliable operational control, by incorporating product configuration, distribution assembly, and demand-driven manufacturing in the supply chain environment. Read More