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TM1
IBM Planning Analytics powered by TM1 (formerly IBM Cognos TM1, formerly Applix TM1, formerly Sinper TM/1) is a business performance management software suite designed to implement collaborative planning, budgeting and forecasting solutions, interactive "what-if" analyses, as well as analytical and reporting applications. The database server component of the software platform retains its historical name TM1. Data is stored in in-memory multidimensional OLAP cubes, generally at the "leaf" level, and consolidated on demand. In addition to data, cubes can include encoded rules which define any on-demand calculations. By design, computations (typically aggregation along dimensional hierarchies using weighted summation) on the data are performed in near real-time, without the need to precalculate, due to a highly performant database design and calculation engine. These properties also allow the data to be updated frequently and by multiple users. TM1 is an example of a class of so ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Applix
__NOTOC__ Applix Inc. was a computer software company founded in 1983 based in Westborough, Massachusetts that published Applix TM1, a multi-dimensional online analytical processing (MOLAP) database server, and related presentation tools, including Applix Web and Applix Executive Viewer. Together, Applix TM1, Applix Web and Applix Executive Viewer were the three core components of the Applix Business Analytics Platform. (Executive Viewer was subsequently discontinued by IBM.) On October 25, 2007, Applix was acquired by Cognos. Cognos rebranded all Applix products under its name following the acquisition. On January 31, 2008, Cognos was itself acquired by IBM. Prior to OLAP industry consolidation in 2007, Applix was the purest OLAP vendor among publicly traded independent business intelligence Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis and management of business information. Common functions of business intelli ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Functional Database Model
The functional database model is used to support analytics applications such as financial planning and performance management. The functional database model, or the functional model for short, is different from but complementary to the relational model. The functional model is also distinct from other similarly named concepts, including the DAPLEX functional database model and functional language databases. The functional model is part of the online analytical processing (OLAP) category since it comprises multidimensional hierarchical consolidation. But it goes beyond OLAP by requiring a spreadsheet-like cell orientation, where cells can be input or calculated as functions of other cells. Also as in spreadsheets, it supports interactive calculations where the values of all dependent cells are automatically up to date whenever the value of a cell is changed. Overview Analytics, especially forward looking or prospective analytics requires interactive modeling, "what if", and experim ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Functional Database Model
The functional database model is used to support analytics applications such as financial planning and performance management. The functional database model, or the functional model for short, is different from but complementary to the relational model. The functional model is also distinct from other similarly named concepts, including the DAPLEX functional database model and functional language databases. The functional model is part of the online analytical processing (OLAP) category since it comprises multidimensional hierarchical consolidation. But it goes beyond OLAP by requiring a spreadsheet-like cell orientation, where cells can be input or calculated as functions of other cells. Also as in spreadsheets, it supports interactive calculations where the values of all dependent cells are automatically up to date whenever the value of a cell is changed. Overview Analytics, especially forward looking or prospective analytics requires interactive modeling, "what if", and experim ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Functional Database Model
The functional database model is used to support analytics applications such as financial planning and performance management. The functional database model, or the functional model for short, is different from but complementary to the relational model. The functional model is also distinct from other similarly named concepts, including the DAPLEX functional database model and functional language databases. The functional model is part of the online analytical processing (OLAP) category since it comprises multidimensional hierarchical consolidation. But it goes beyond OLAP by requiring a spreadsheet-like cell orientation, where cells can be input or calculated as functions of other cells. Also as in spreadsheets, it supports interactive calculations where the values of all dependent cells are automatically up to date whenever the value of a cell is changed. Overview Analytics, especially forward looking or prospective analytics requires interactive modeling, "what if", and experim ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
MOLAP
Online analytical processing, or OLAP (), is an approach to answer multi-dimensional analytical (MDA) queries swiftly in computing. OLAP is part of the broader category of business intelligence, which also encompasses relational databases, report writing and data mining. Typical applications of OLAP include business reporting for sales, marketing, management reporting, business process management (BPM), budgeting and forecasting, financial reporting and similar areas, with new applications emerging, such as agriculture. The term ''OLAP'' was created as a slight modification of the traditional database term online transaction processing (OLTP). OLAP tools enable users to analyze multidimensional data interactively from multiple perspectives. OLAP consists of three basic analytical operations: consolidation (roll-up), drill-down, and slicing and dicing.O'Brien, J. A., & Marakas, G. M. (2009). Management information systems (9th ed.). Boston, MA: McGraw-Hill/Irwin. Consolidatio ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Cognos
Cognos Incorporated was an Ottawa, Ontario-based company making business intelligence (BI) and performance management (PM) software. Founded in 1969, at its peak Cognos employed almost 3,500 people and served more than 23,000 customers in over 135 countries until being acquired by IBM on January 31, 2008. While no longer an independent company, the Cognos name continues to be applied to IBM's line of business intelligence and performance management products. History Cognos was founded in 1969 by Alan Rushforth and Peter Glenister. Michael U. Potter joined Cognos in 1972, and was its Chief Executive Officer from 1975 until 1995. It began as a consulting company for the Canadian federal government and offered its first software product, QUIZ, in 1979. During the Canadian recession in the 1980s, Cognos shifted its focus from consulting to software sales. Originally Quasar Systems Limited, it adopted the Cognos name in 1982. Cognos is a fragment scissored off the Latin word "cogno ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Microsoft Windows Server
Windows Server (formerly Windows NT Server) is a group of operating systems (OS) for servers that Microsoft has been developing since July 27, 1993. The first OS that was released for this platform was Windows NT 3.1 Advanced Server. With the release of Windows Server 2003, the brand name was changed to Windows Server. Microsoft's history of developing operating systems for server computers goes back to Windows NT 3.1 Advanced Server edition. Windows 2000 Server edition was the first OS to include Active Directory, Domain Name System, DNS Server, Dynamic Host Configuration Protocol, DHCP Server, and Group Policy. Members Main releases Main releases include: *Windows NT 3.1, Windows NT 3.1 Advanced Server (July 1993) *Windows NT 3.5, Windows NT Server 3.5 (September 1994) *Windows NT 3.51, Windows NT Server 3.51 (May 1995) *Windows NT 4.0, Windows NT 4.0 Server (July 1996) *Windows 2000, Windows 2000 Server (December 1999) *Windows Server 2003 Windows Server 2003 is the ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Dimension (data Warehouse)
A dimension is a structure that categorizes facts and measures in order to enable users to answer business questions. Commonly used dimensions are people, products, place and time. (Note: People and time sometimes are not modeled as dimensions.) In a data warehouse, dimensions provide structured labeling information to otherwise unordered numeric measures. The dimension is a data set composed of individual, non-overlapping data elements. The primary functions of dimensions are threefold: to provide filtering, grouping and labelling. These functions are often described as " slice and dice". A common data warehouse example involves sales as the measure, with customer and product as dimensions. In each sale a customer buys a product. The data can be sliced by removing all customers except for a group under study, and then diced by grouping by product. A dimensional data element is similar to a categorical variable in statistics. Typically dimensions in a data warehouse are organiz ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Business Intelligence
Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis and management of business information. Common functions of business intelligence technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics, and prescriptive analytics. BI tools can handle large amounts of structured and sometimes unstructured data to help identify, develop, and otherwise create new strategic business opportunities. They aim to allow for the easy interpretation of these big data. Identifying new opportunities and implementing an effective strategy based on insights can provide businesses with a competitive market advantage and long-term stability, and help them take strategic decisions. Business intelligence can be used by enterprises to support a wide range of business decisi ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Visicalc
VisiCalc (for "visible calculator") is the first spreadsheet computer program for personal computers, originally released for Apple II by VisiCorp on 17 October 1979. It is often considered the application that turned the microcomputer from a hobby for computer enthusiasts into a serious business tool, prompting IBM to introduce the IBM PC two years later. VisiCalc is considered to be Apple II's killer app. It sold over 700,000 copies in six years, and as many as 1 million copies over its history. Initially developed for the Apple II computer using a 6502 assembler running on the Multics time sharing system, VisiCalc was ported to numerous platforms, both 8-bit and some of the early 16-bit systems. In order to do this, the company developed porting platforms that produced bug compatible versions. The company took the same approach when the IBM PC was launched, producing a product that was essentially identical to the original 8-bit Apple II version. Sales were initially brisk, ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Cloud Computing
Cloud computing is the on-demand availability of computer system resources, especially data storage ( cloud storage) and computing power, without direct active management by the user. Large clouds often have functions distributed over multiple locations, each of which is a data center. Cloud computing relies on sharing of resources to achieve coherence and typically uses a "pay as you go" model, which can help in reducing capital expenses but may also lead to unexpected operating expenses for users. Value proposition Advocates of public and hybrid clouds claim that cloud computing allows companies to avoid or minimize up-front IT infrastructure costs. Proponents also claim that cloud computing allows enterprises to get their applications up and running faster, with improved manageability and less maintenance, and that it enables IT teams to more rapidly adjust resources to meet fluctuating and unpredictable demand, providing burst computing capability: high computing p ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
