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2. Big data - Wikipedia

   en.wikipedia.org/wiki/Big_data

   Big data analytics has been used in healthcare in providing personalized medicine and prescriptive analytics, clinical risk intervention and predictive analytics, waste and care variability reduction, automated external and internal reporting of patient data, standardized medical terms and patient registries.

3. 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 ...

4. List of reporting software - Wikipedia

   en.wikipedia.org/wiki/List_of_reporting_software

   The following is a list of notable report generator software. Reporting software is used to generate human-readable reports from various data ... Logi Analytics; m ...

5. Tableau Software - Wikipedia

   en.wikipedia.org/wiki/Tableau_Software

   Tableau Software, LLC is an American interactive data visualization software company focused on business intelligence. [ 2 ] [ 3 ] It was founded in 2003 in Mountain View, California , and is currently headquartered in Seattle, Washington . [ 4 ]

6. Pentaho - Wikipedia

   en.wikipedia.org/wiki/Pentaho

   Pentaho for Big Data is a data integration tool based on Pentaho Data Integration. [2] It allows executing ETL jobs in and out of big data environments such as Apache Hadoop or Hadoop distributions such as Amazon, Cloudera, EMC Greenplum, MapR, and Hortonworks. [3] It also supports NoSQL data sources such as MongoDB and HBase. [4] Pentaho ...

7. Analytics - Wikipedia

   en.wikipedia.org/wiki/Analytics

   Analytics may apply to a variety of fields such as marketing, management, finance, online systems, information security, and software services. Since analytics can require extensive computation (see big data), the algorithms and software used for analytics harness the most current methods in computer science, statistics, and mathematics. [4]