Data Analytics and Decision Making

Running head: DATA ANALYTICS AND DECISION MAKING
Data Analytics and Decision Making
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DATA ANALYTICS AND DECISION MAKING
Dashboard in tableau
Dashboard can be considered to be a set of numerous views that helps in comparing varied
data simultaneously. For instance, in case if there remains a set of outlooks that it is reviewed
on a daily basis, then this can generate a dashboard that can display all the visions all at once,
rather than find the way to divide worksheets.
Just like worksheets, it is possible to gain access to dashboards from specific tabs present
underneath a workbook (Narra et al. 2018). In essence, data present in different sheets as well
as dashboards is linked. Again, when a sheet is changed, any kind of dashboards that contains
the same also alters, and vice versa. In addition to this, both the sheets along with dashboards
revise with the most recent data obtainable from the source of data.
A properly-designed dashboard can bring into line attempts of enterprises, assist reveal
important insights, and accelerate process of decision-making (Narra et al. 2018). This can
help in understanding functions and audiences, influencing the most viewed mark, designing
for the real world and restricting total number of views.
Data mining in knime
Data mining refers to a specific practice of investigating large sized pre-subsisting databases
that can help in generating novel information. In essence, this data mining can be considered
to be a sorting procedure that utilizes large sets of data for identifying specific patterns and
instituting associations to resolve issues by means of data analysis. Thus, this process of data
mining can be employed by different firms to convert raw data into effectual information
(Narra et al. 2018). However, employing specific software can help in looking for particular
patterns in huge clusters of data.