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- October 2025
- 160 Pages
Global
From €2951EUR$3,358USD£2,574GBP
€3472EUR$3,950USD£3,028GBP
- Report
- October 2025
- 160 Pages
Global
From €2951EUR$3,358USD£2,574GBP
€3472EUR$3,950USD£3,028GBP
- Report
- October 2025
- 160 Pages
Global
From €2951EUR$3,358USD£2,574GBP
€3472EUR$3,950USD£3,028GBP
- Report
- October 2025
- 160 Pages
Global
From €2951EUR$3,358USD£2,574GBP
€3472EUR$3,950USD£3,028GBP
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- March 2025
- 360 Pages
Global
From €3165EUR$3,600USD£2,760GBP
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- 90 Pages
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Global
From €3164EUR$3,599USD£2,759GBP
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- 153 Pages
Global
From €3164EUR$3,599USD£2,759GBP
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- 173 Pages
Global
From €3164EUR$3,599USD£2,759GBP
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- 151 Pages
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- 175 Pages
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- 173 Pages
Global
From €3164EUR$3,599USD£2,759GBP
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Global
From €4351EUR$4,950USD£3,795GBP
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- October 2025
- 226 Pages
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- October 2025
- 109 Pages
Global
From €3033EUR$3,450USD£2,645GBP
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- October 2025
- 117 Pages
Global
From €3033EUR$3,450USD£2,645GBP

Advanced Analytics is a subset of Data Analytics that focuses on the use of sophisticated techniques and tools to uncover deeper insights, patterns, and trends in data. It is used to identify and predict customer behavior, optimize marketing campaigns, and improve operational efficiency. Advanced Analytics techniques include predictive analytics, machine learning, natural language processing, and text mining.
Advanced Analytics is used by organizations across a variety of industries, including finance, healthcare, retail, and manufacturing. It is used to gain insights into customer preferences, identify new opportunities, and improve decision-making.
Companies in the Advanced Analytics market include IBM, Microsoft, Oracle, SAS, SAP, Tableau, and Teradata. Show Less Read more