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  2. Data governance - Wikipedia

    en.wikipedia.org/wiki/Data_governance

    Data governance involves the coordination of people, processes, and information technology necessary to ensure consistent and proper management of an organization's data across the business enterprise. It provides all data management practices with the necessary foundation, strategy, and structure needed to ensure that data is managed as an ...

  3. Big data maturity model - Wikipedia

    en.wikipedia.org/wiki/Big_Data_Maturity_Model

    The organization understand the benefits of analytics and may have a data warehouse; An organization's governance strategy is typically more IT-centric rather than being integrative business-and-IT centric; Stage 2: Pre-adoption. During the pre-adoption stage: The organization start to investigate big data analytics

  4. Data steward - Wikipedia

    en.wikipedia.org/wiki/Data_steward

    The data steward may also serve as a liaison between the organization's data users and technical teams, helping to bridge the gap between business needs and technical requirements. They may also play a role in educating others within the organization about best practices for data management, and advocating for data-driven decision-making ...

  5. Business intelligence - Wikipedia

    en.wikipedia.org/wiki/Business_intelligence

    Business intelligence (BI) consists of strategies, methodologies, and technologies used by enterprises for data analysis and management of business information. [1] Common functions of BI technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text ...

  6. Data management - Wikipedia

    en.wikipedia.org/wiki/Data_management

    However, data has to be of high quality to be used as a business asset for creating a competitive advantage. Therefore, data governance is a critical element of data collection and analysis since it determines the quality of data while integrity constraints guarantee the reliability of information collected from data sources.

  7. Enterprise data management - Wikipedia

    en.wikipedia.org/wiki/Enterprise_data_management

    In many circumstances, these sources use inconsistent terms and definitions to describe the data content itself – making it hard to compare data, hard to automate business processes, hard to feed complex applications and hard to exchange data. This frequently results in a difficult process of data mapping and cross-referencing

  8. Business Intelligence Competency Center - Wikipedia

    en.wikipedia.org/wiki/Business_Intelligence...

    A Business Intelligence Competency Center (BICC) is a cross-functional organizational team with defined tasks, roles, responsibilities and processes for supporting and promoting the effective use of business intelligence (BI) across an organization. [1]

  9. Master data management - Wikipedia

    en.wikipedia.org/wiki/Master_data_management

    It has the objective of providing processes for collecting, aggregating, matching, consolidating, quality-assuring, persisting and distributing master data throughout an organization to ensure a common understanding, consistency, accuracy and control, [4] in the ongoing maintenance and application use of that data. Processes commonly seen in ...