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  2. Dashboard (computing) - Wikipedia

    en.wikipedia.org/wiki/Dashboard_(computing)

    Dashboards aid with budgeting, management control, and wage control. Dashboards are used to present data in a quick and easy to read way. The ability to present data in a quick way with a visual allows for more data to be processed and understood. Dashboards are used for performance reports, sales analysis on sectors, and inventory rotation.

  3. Snowflake schema - Wikipedia

    en.wikipedia.org/wiki/Snowflake_schema

    The example schema shown to the right is a snowflaked version of the star schema example provided in the star schema article. The following example query is the snowflake schema equivalent of the star schema example code which returns the total number of television units sold by brand and by country for 1997.

  4. Salesforce - Wikipedia

    en.wikipedia.org/wiki/Salesforce

    Salesforce, Inc. is an American cloud-based software company headquartered in San Francisco, California.It provides applications focused on sales, customer service, marketing automation, e-commerce, analytics, artificial intelligence, and application development.

  5. HubSpot - Wikipedia

    en.wikipedia.org/wiki/HubSpot

    HubSpot has integration features for Docusign, salesforce.com, SugarCRM, NetSuite, Microsoft Dynamics CRM, and others. [31] There are also third-party services such as templates, and extensions. [32] Additionally, HubSpot offers consulting services and an online resource academy for learning inbound marketing tactics.

  6. Wikipedia:Requested articles/Applied arts and sciences ...

    en.wikipedia.org/wiki/Wikipedia:Requested...

    EZOfficeInventory Asset Tracking Software – A Software as a Service for tracking fixed asset and inventory. Its been covered extensively on news and blog sites: ;; ; ; Explainer Video – I searched 'explainer video' and was redirected to 'tutorials', but that is not exactly what I wanted

  7. Data mining - Wikipedia

    en.wikipedia.org/wiki/Data_mining

    These patterns can then be seen as a kind of summary of the input data, and may be used in further analysis or, for example, in machine learning and predictive analytics. For example, the data mining step might identify multiple groups in the data, which can then be used to obtain more accurate prediction results by a decision support system ...

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