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- 185 Pages
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€3509EUR$3,939USD£3,044GBP
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- October 2025
- 190 Pages
Global
From €3158EUR$3,545USD£2,740GBP
€3509EUR$3,939USD£3,044GBP
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- October 2025
- 198 Pages
Global
From €3158EUR$3,545USD£2,740GBP
€3509EUR$3,939USD£3,044GBP
- Report
- October 2025
- 181 Pages
Global
From €3158EUR$3,545USD£2,740GBP
€3509EUR$3,939USD£3,044GBP
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€3509EUR$3,939USD£3,044GBP
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From €4231EUR$4,750USD£3,671GBP
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Global
From €4231EUR$4,750USD£3,671GBP
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- 143 Pages
Global
From €3518EUR$3,950USD£3,053GBP
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From €3207EUR$3,600USD£2,782GBP
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From €4008EUR$4,500USD£3,478GBP
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- 189 Pages
Global
From €4008EUR$4,500USD£3,478GBP
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- November 2024
- 185 Pages
Global
From €4008EUR$4,500USD£3,478GBP
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- October 2024
- 185 Pages
Global
From €4008EUR$4,500USD£3,478GBP
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- 181 Pages
Global
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- 150 Pages
Global
From €2991EUR$3,358USD£2,595GBP
€3518EUR$3,950USD£3,053GBP
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- August 2025
- 150 Pages
Global
From €2991EUR$3,358USD£2,595GBP
€3518EUR$3,950USD£3,053GBP

Real Time Analytics is a type of data analytics that focuses on the analysis of data as it is generated. It is used to identify trends and patterns in data as it is collected, allowing for more timely decision-making. Real Time Analytics can be used to monitor customer behavior, detect fraud, and optimize business processes. It can also be used to analyze customer sentiment and provide insights into customer preferences.
Real Time Analytics is used by a variety of industries, including retail, finance, healthcare, and manufacturing. Companies in the market include Splunk, Databricks, IBM, Microsoft, Oracle, and Google. Show Less Read more