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  2. Big data - Wikipedia

    en.wikipedia.org/wiki/Big_data

    Big data "size" is a constantly moving target; as of 2012 ranging from a few dozen terabytes to many zettabytes of data. [26] Big data requires a set of techniques and technologies with new forms of integration to reveal insights from data-sets that are diverse, complex, and of a massive scale. [27]

  3. Dimensional Insight - Wikipedia

    en.wikipedia.org/wiki/Dimensional_Insight

    Dimensional Insight's flagship product, Diver Platform (Diver), is a business intelligence and analytics suite that allows users to combine multiple internal and external data sources into a single data feed that enables secure, role-based access to data via interactive dashboards and reports. [2]

  4. Analytics - Wikipedia

    en.wikipedia.org/wiki/Analytics

    Data analysis focuses on the process of examining past data through business understanding, data understanding, data preparation, modeling and evaluation, and deployment. [8] It is a subset of data analytics, which takes multiple data analysis processes to focus on why an event happened and what may happen in the future based on the previous data.

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  6. Abacus Data - Wikipedia

    en.wikipedia.org/wiki/Abacus_Data

    Abacus Data is a Canadian polling and market research firm based in Ottawa, Ontario. It was founded in August 2010, [ 1 ] soon after its founder and chairman David Coletto graduated from the University of Calgary with a PhD in political science .

  7. List of statistical software - Wikipedia

    en.wikipedia.org/wiki/List_of_statistical_software

    OpenNN – A software library written in the programming language C++ which implements neural networks, a main area of deep learning research; Orange, a data mining, machine learning, and bioinformatics software; Pandas – High-performance computing (HPC) data structures and data analysis tools for Python in Python and Cython (statsmodels ...

  8. Open data in Canada - Wikipedia

    en.wikipedia.org/wiki/Open_Data_in_Canada

    Open data in Canada describes the capacity for the Canadian Federal Government and other levels of government in Canada to provide online access to data collected and created by governments in a standards-compliant Web 2.0 way. Open data requires that machine-readable should be made openly available, simple to access, and convenient to reuse. [1]

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