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  2. 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

  3. Google Analytics - Wikipedia

    en.wikipedia.org/wiki/Google_Analytics

    Google Analytics' approach is to show high-level, dashboard-type data for the casual user, and more in-depth data further into the report set. Google Analytics analysis can identify poorly performing pages with techniques such as funnel visualization, where visitors came from , how long they stayed on the website and their geographical position.

  4. Data reporting - Wikipedia

    en.wikipedia.org/wiki/Data_reporting

    Data reporting is different from data analysis which transforms data and information into insights. Data reporting is the previous step that translates raw data into information. [1] When data is not reported, the problem is known as underreporting; the opposite problem leads to false positives. Data reporting can be difficult.

  5. Big data - Wikipedia

    en.wikipedia.org/wiki/Big_data

    There are nearly 600 million collisions per second. After filtering and refraining from recording more than 99.99995% [140] of these streams, there are 1,000 collisions of interest per second. [141] [142] [143] As a result, only working with less than 0.001% of the sensor stream data, the data flow from all four LHC experiments represents 25 ...

  6. Online analytical processing - Wikipedia

    en.wikipedia.org/wiki/Online_analytical_processing

    Apache Pinot is used at LinkedIn, Cisco, Uber, Slack, Stripe, DoorDash, Target, Walmart, Amazon, and Microsoft to deliver scalable real time analytics with low latency. [30] It can ingest data from offline data sources (such as Hadoop and flat files) as well as online sources (such as Kafka). Pinot is designed to scale horizontally.

  7. Analytics - Wikipedia

    en.wikipedia.org/wiki/Analytics

    Analytics is the systematic computational analysis of data or statistics. [1] It is used for the discovery, interpretation, and communication of meaningful patterns in data, which also falls under and directly relates to the umbrella term, data science. [2] Analytics also entails applying data patterns toward effective decision-making.

  8. $2.7 million meant to build homeless housing ended up with L ...

    www.aol.com/news/2-7-million-meant-build...

    Step Up on Second, a homeless housing and services provider, received $2.7 million in future "profit" from the developer of seven state-funded Project Homekey motel conversions, court records say.

  9. Web analytics - Wikipedia

    en.wikipedia.org/wiki/Web_analytics

    Web analytics is the measurement, collection, analysis, and reporting of web data to understand and optimize web usage. [1] Web analytics is not just a process for measuring web traffic but can be used as a tool for business and market research and assess and improve website effectiveness.