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Activity - technology classification

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Reference no: EM133060671

Learning Activity: Technology Classification Discussion

Below is the list of some technologies:

Trifacta, IBM Watson Studio, Hadoop, Python, R, MicroStrategy Analytics Desktop, Domo, RapidMiner, Tableau, QlikView, Sisense, Looker, Periscope, Zoho Analytics, Microsoft Power BI, Klipfolio, SAP Analytics Cloud, IBM Cognos Analytics, Kibana, Plotly, Chartio, Infogram , Highcharts, Visme, Geckoboard, AnyChart, FusionCharts, ChartBlocks, Datawrapper, Visually, Google Charts, Microsoft Excel, SPSS, Google Analytics, Microsoft Azure and Chart.js.

For all the technologies mentioned above, find out which of the following category they fall in:

Data capturing: data acquisition, data entry and data extraction etc.

Data processing: data mining, data modelling, data clustering and data summarisation etc.

Data analysis: regression analysis, predictive analysis, text mining, qualitative analysis, exploratory/confirmatory analysis etc.

Data maintenance: data warehousing, data cleansing, data staining, etc.

Data communication: data reporting, data visualisation, business intelligence etc.

Remember a single technology, tool or software can fall in multiple categories.

Reference no: EM133060671

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