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Global
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€3524EUR$3,939USD£3,098GBP
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- 198 Pages
Global
From €3171EUR$3,545USD£2,788GBP
€3524EUR$3,939USD£3,098GBP
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- October 2025
- 194 Pages
Global
From €3171EUR$3,545USD£2,788GBP
€3524EUR$3,939USD£3,098GBP
- Report
- October 2025
- 181 Pages
Global
From €3171EUR$3,545USD£2,788GBP
€3524EUR$3,939USD£3,098GBP
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Global
From €4017EUR$4,490USD£3,532GBP
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Global
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Global
From €4017EUR$4,490USD£3,532GBP
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- 120 Pages
Global
From €4249EUR$4,750USD£3,736GBP
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Global
From €4249EUR$4,750USD£3,736GBP
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- May 2025
- 120 Pages
Global
From €4249EUR$4,750USD£3,736GBP
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- 185 Pages
Global
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- 150 Pages
Global
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- 159 Pages
Global
From €3220EUR$3,599USD£2,831GBP
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From €3220EUR$3,599USD£2,831GBP
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Global
From €3220EUR$3,599USD£2,831GBP
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- 185 Pages
Global
From €3688EUR$4,123USD£3,242GBP
€4339EUR$4,850USD£3,815GBP
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Asia Pacific
From €1342EUR$1,500USD£1,180GBP
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Asia Pacific
From €3461EUR$3,869USD£3,043GBP
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- 126 Pages
North America
From €3220EUR$3,599USD£2,831GBP

Descriptive Analytics is a type of Data Analytics that focuses on summarizing and understanding the characteristics of data. It is used to identify patterns and trends in data, and to gain insights into the data. Descriptive Analytics is used to answer questions such as “What happened?” and “What is happening?”. It is used to identify correlations between different variables, and to identify outliers in the data. Descriptive Analytics is used to gain a better understanding of the data, and to identify areas for further investigation.
Some companies in the Descriptive Analytics market include Tableau, Microsoft, IBM, Oracle, SAP, SAS, and Splunk. Show Less Read more