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Yellowfin Business Intelligence

Yellowfin is an Australian-headquartered business intelligence, analytics, dashboard and reporting software vendor. It develops and markets a suite of products that are used to transform, access, analyse and report on data held in common business ...

Joel Zamel

Joel Zamel is an Australian Israeli inventor, entrepreneur, owner and operator of private intelligence and political analysis agencies which offer forecasting simulations, wargaming, influence operations, social media campaigns, private investmen ...

Zoomdata

Zoomdata is a business intelligence software company that specializes in real-time data visualization of big data, streaming data, and multisource analysis. The companys products are deployable on-prem, in the cloud, and embedded in other applica ...

Definers Public Affairs

Definers Public Affairs is an American right leaning opposition research firm based in Arlington, Virginia. It performs media monitoring services, conducts research using the Freedom of Information Act and also creates strategic communication to ...

Fusion GPS

Fusion GPS is a commercial research and strategic intelligence firm based in Washington, D.C. The company conducts open-source investigations and provides research and strategic advice for businesses, law firms and investors, as well as for polit ...

Expense and cost recovery system

An expense and cost recovery system is a specialized subset of "extract, transform, load" functioning as a powerful and flexible set of applications, including programs, scripts and databases designed to improve the cash flow of businesses and or ...

Aggregate (data warehouse)

Aggregates are used in dimensional models of the data warehouse to produce positive effects on the time it takes to query large sets of data. At the simplest form an aggregate is a simple summary table that can be derived by performing a Group by ...

Anchor modeling

Anchor modeling is an agile database modeling technique suited for information that changes over time both in structure and content. It provides a graphical notation used for conceptual modeling similar to that of entity-relationship modeling, wi ...

Bitemporal Modeling

Bitemporal Modeling is a specific case of Temporal database information modeling technique designed to handle historical data along two different timelines. This makes it possible to rewind the information to "as it actually was" in combination w ...

Cubes (OLAP server)

Cubes is a light-weight open source multidimensional modelling and OLAP toolkit for development reporting applications and browsing of aggregated data written in Python programming language released under the MIT License. Cubes provides to an ana ...

Data extraction

Data extraction is the act or process of retrieving data out of data sources for further data processing or data storage. The import into the intermediate extracting system is thus usually followed by data transformation and possibly the addition ...

Data mart

A data mart is a structure / access pattern specific to data warehouse environments, used to retrieve client-facing data. The data mart is a subset of the data warehouse and is usually oriented to a specific business line or team. Whereas data wa ...

Data vault modeling

Data vault modeling is a database modeling method that is designed to provide long-term historical storage of data coming in from multiple operational systems. It is also a method of looking at historical data that deals with issues such as audit ...

Data warehouse automation

Data warehouse automation refers to the process of accelerating and automating the data warehouse development cycles, while assuring quality and consistency. DWA is believed to provide automation of the entire lifecycle of a data warehouse, from ...

Degenerate dimension

According to Ralph Kimball, in a data warehouse, a degenerate dimension is a dimension key in the fact table that does not have its own dimension table, because all the interesting attributes have been placed in analytic dimensions. The term "deg ...

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. In a data warehouse, dimensions provide structured labeling infor ...

Dimensional modeling

Dimensional modeling is part of the Business Dimensional Lifecycle methodology developed by Ralph Kimball which includes a set of methods, techniques and concepts for use in data warehouse design. The approach focuses on identifying the key busin ...

DIRKS

DIRKS, an acronym for Designing and Implementing Recordkeeping Systems, is a comprehensive manual outlining the process for creating records management systems including various business information records and transactions as outlined in the Aus ...

Document warehouse

In the field of data warehouses, a document warehouse is a software framework for analysis, sharing, and reuse of unstructured data, such as textual or multimedia documents. This is different from data warehouses that focuses on structured data, ...

Extract, load, transform

Extract, load, transform is an alternative to extract, transform, load used with data lake implementations. In contrast to ETL, in ELT models the data is not transformed on entry to the data lake, but stored in its original raw format. This enabl ...

Extract, transform, load

In computing, extract, transform, load is the general procedure of copying data from one or more sources into a destination system which represents the data differently from the source or in a different context than the source. The ETL process be ...

Fact table

In data warehousing, a fact table consists of the measurements, metrics or facts of a business process. It is located at the center of a star schema or a snowflake schema surrounded by dimension tables. Where multiple fact tables are used, these ...

Bill Inmon

William H. Inmon is an American computer scientist, recognized by many as the father of the data warehouse. Inmon wrote the first book, held the first conference, wrote the first column in a magazine and was the first to offer classes in data war ...

Integration warehouse

An integration warehouse is a data warehouse specifically geared to the purpose of integrating information from various sources or systems. Integration warehouses are quite often used in the reinsurance industry instead of conventional data wareh ...

International Journal of Data Warehousing and Mining

The International Journal of Data Warehousing and Mining is a quarterly peer-reviewed academic journal covering data warehousing and data mining. It was established in 2005 and is published by IGI Global. The editor-in-chief is David Taniar.

The Kimball Lifecycle

According to Kimball et al., this phase is the start of the lifecycle. It is a planning phase in which project is a single iteration of the lifecycle while program is the broader coordination of resources. When launching a project/program Kimball ...

Log trigger

In relational databases, the Log trigger or History trigger is a mechanism for automatic recording of information about changes inserting or/and updating or/and deleting rows in a database table. It is a particular technique for change data captu ...

Measure (data warehouse)

For example if retail store sold a specific product, the quantity and prices of each item sold could be added or averaged to find the total number of items sold and total or average price of the goods sold.

OLAP cube

An OLAP cube is a multi-dimensional array of data. Online analytical processing is a computer-based technique of analyzing data to look for insights. The term cube here refers to a multi-dimensional dataset, which is also sometimes called a hyper ...

Operational data store

An operational data store is used for operational reporting and as a source of data for the Enterprise Data Warehouse. It is a complementary element to an EDW in a decision support landscape, and is used for operational reporting, controls and de ...

Reverse star schema

The reverse star schema is a schema optimized for fast retrieval of large quantities of descriptive data. The design was derived from a warehouse star schema, and its adaptation for descriptive data required that certain key characteristics of th ...

Slowly changing dimension

Dimensions in data management and data warehousing contain relatively static data about such entities as geographical locations, customers, or products. Data captured by Slowly Changing Dimensions change slowly but unpredictably, rather than acco ...

Snowflake schema

In computing, a snowflake schema is a logical arrangement of tables in a multidimensional database such that the entity relationship diagram resembles a snowflake shape. The snowflake schema is represented by centralized fact tables which are con ...

Staging (data)

A staging area, or landing zone, is an intermediate storage area used for data processing during the extract, transform and load process. The data staging area sits between the data source and the data target, which are often data warehouses, dat ...

Star schema

In computing, the star schema is the simplest style of data mart schema and is the approach most widely used to develop data warehouses and dimensional data marts. The star schema consists of one or more fact tables referencing any number of dime ...

StoredIQ

StoredIQ was a company founded for information lifecycle management of unstructured data. Founded in 2001 as Deepfile in Austin, Texas by Jeff Erramouspe, Jeff Bone, Russell Turpin, Rudy Rouhana, Laura Arbilla and Brett Funderburg. The company ch ...

Time variance

Time variance is the ability to remember historic perspectives. The requirement is to be able to know how something was classified or who owned something and how this changed as time passed. For the context of time and frequency and qualification ...

Justason Market Intelligence

Justason Market Intelligence is a Canadian public opinion and research company founded in 2003 by Barb Justason. The firm is located in Vancouver, British Columbia, Canada. Justason Market Intelligence polled regularly in the lead-up to the Novem ...

Market orientation

Market orientation perspectives include the decision-making perspective, market intelligence perspective, culturally based behavioural perspective, strategic perspective and customer orientation perspective. The two most prominent conceptualizati ...

Market penetration

Market penetration refers to the successful selling of a product or service in a specific market. It is measured by the amount of sales volume of an existing good or service compared to the total target market for that product or service. Market ...

Market research

Market research is an organized effort to gather information about target markets or customers. It is a very important component of business strategy. The term is commonly interchanged with marketing research; however, expert practitioners may wi ...

Marketing research

Marketing research is "the process or set of processes that links the producers, customers, and end users to the marketer through information used to identify and define marketing opportunities and problems; generate, refine, and evaluate marketi ...

6-3-5 Brainwriting

6-3-5 Brainwriting is a group-structured brainstorming technique aimed at aiding innovation processes by stimulating creativity developed by Bernd Rohrbach who originally published it in a German sales magazine, the Absatzwirtschaft, in 1968. In ...

A/B testing

A/B testing is a user experience research methodology. A/B tests consist of a randomized experiment with two variants, A and B. It includes application of statistical hypothesis testing or "two-sample hypothesis testing" as used in the field of s ...

Ad tracking

Ad tracking, also known as post-testing or ad effectiveness tracking, is in-market research that monitors a brand’s performance including brand and advertising awareness, product trial and usage, and attitudes about the brand versus their competi ...

Advertising research

Advertising research is a systematic process of marketing research conducted to improve the efficiency of advertising. Advertising research is a detailed study conducted to know how customers respond to a particular ad or advertising campaign.

Advertising Research Foundation

The Advertising Research Foundation is a nonprofit industry association for creating, aggregating, synthesizing and sharing knowledge in the fields of advertising and media. It was founded in 1936 by the Association of National Advertisers and th ...

AMAI

The Mexican Association of Marketing Research and Public Opinion Agencies is the agency responsible for maintaining the transparency and quality in market research in Mexico, setting the standards of quality and socioeconomic levels.

AQH Share

AQH is an abbreviation for Average Quarter-Hour Persons AQH Persons, defined by Arbitron now referred to as Nielsen Audio as the average number of persons listening to a particular station for at least five minutes during a 15-minute period. Shar ...

Artificial neural network

Artificial neural networks or connectionist systems are computing systems vaguely inspired by the biological neural networks that constitute animal brains. Such systems "learn" to perform tasks by considering examples, generally without being pro ...