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This book analyses the role of business intelligence and data analytics in the strategic optimisation of sales, recognising that today's competitive environment requires a shift from commercial decisions based solely on intuition to those underpinned by evidence. From both an academic and applied perspective, the book explores three complementary areas. Firstly, it establishes the conceptual foundations of business intelligence, business analytics and commercial analytics, with an emphasis on the use of KPIs, CRM, dashboards and sales-oriented performance metrics. Secondly, it examines descriptive, diagnostic, predictive and prescriptive analytics techniques to support business decision-making, integrating customer segmentation, purchase behaviour analysis and sales forecasting. Thirdly, it presents a reproducible practical case study based on a public dataset, accompanied by Python code and a concise alternative in R, so that readers can replicate the analytical workflow and adapt it to their own organisation.
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Ein nicaraguanischer Fachmann mit einer Leidenschaft für Business Intelligence, Datenanalyse und digitale Transformation. Masterstudent im Fach Business Intelligence und Datenanalyse an der UAM, mit Erfahrung in den Bereichen Vertrieb, Unternehmensanalyse und Tools wie Python, R, Power BI und Microsoft Fabric.
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Business Intelligence and Data Analytics (Paperback)
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Paperback. Zustand: new. Paperback. This book analyses the role of business intelligence and data analytics in the strategic optimisation of sales, recognising that today's competitive environment requires a shift from commercial decisions based solely on intuition to those underpinned by evidence. From both an academic and applied perspective, the book explores three complementary areas. Firstly, it establishes the conceptual foundations of business intelligence, business analytics and commercial analytics, with an emphasis on the use of KPIs, CRM, dashboards and sales-oriented performance metrics. Secondly, it examines descriptive, diagnostic, predictive and prescriptive analytics techniques to support business decision-making, integrating customer segmentation, purchase behaviour analysis and sales forecasting. Thirdly, it presents a reproducible practical case study based on a public dataset, accompanied by Python code and a concise alternative in R, so that readers can replicate the analytical workflow and adapt it to their own organisation. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9786630165166
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Business Intelligence and Data Analytics
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Business Intelligence and Data Analytics
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book analyses the role of business intelligence and data analytics in the strategic optimisation of sales, recognising that today's competitive environment requires a shift from commercial decisions based solely on intuition to those underpinned by evidence. From both an academic and applied perspective, the book explores three complementary areas. Firstly, it establishes the conceptual foundations of business intelligence, business analytics and commercial analytics, with an emphasis on the use of KPIs, CRM, dashboards and sales-oriented performance metrics. Secondly, it examines descriptive, diagnostic, predictive and prescriptive analytics techniques to support business decision-making, integrating customer segmentation, purchase behaviour analysis and sales forecasting. Thirdly, it presents a reproducible practical case study based on a public dataset, accompanied by Python code and a concise alternative in R, so that readers can replicate the analytical workflow and adapt it to their own organisation. 52 pp. Englisch. Bestandsnummer des Verkäufers 9786630165166
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Business Intelligence and Data Analytics (Paperback)
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Paperback. Zustand: new. Paperback. This book analyses the role of business intelligence and data analytics in the strategic optimisation of sales, recognising that today's competitive environment requires a shift from commercial decisions based solely on intuition to those underpinned by evidence. From both an academic and applied perspective, the book explores three complementary areas. Firstly, it establishes the conceptual foundations of business intelligence, business analytics and commercial analytics, with an emphasis on the use of KPIs, CRM, dashboards and sales-oriented performance metrics. Secondly, it examines descriptive, diagnostic, predictive and prescriptive analytics techniques to support business decision-making, integrating customer segmentation, purchase behaviour analysis and sales forecasting. Thirdly, it presents a reproducible practical case study based on a public dataset, accompanied by Python code and a concise alternative in R, so that readers can replicate the analytical workflow and adapt it to their own organisation. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9786630165166
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Business Intelligence and Data Analytics
Verlag:
Our Knowledge Publishing Jun 2026, 2026
ISBN 10: 6630165160
ISBN 13: 9786630165166
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Business Intelligence and Data Analytics : for Strategic Sales Optimization
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book analyses the role of business intelligence and data analytics in the strategic optimisation of sales, recognising that today's competitive environment requires a shift from commercial decisions based solely on intuition to those underpinned by evidence. From both an academic and applied perspective, the book explores three complementary areas. Firstly, it establishes the conceptual foundations of business intelligence, business analytics and commercial analytics, with an emphasis on the use of KPIs, CRM, dashboards and sales-oriented performance metrics. Secondly, it examines descriptive, diagnostic, predictive and prescriptive analytics techniques to support business decision-making, integrating customer segmentation, purchase behaviour analysis and sales forecasting. Thirdly, it presents a reproducible practical case study based on a public dataset, accompanied by Python code and a concise alternative in R, so that readers can replicate the analytical workflow and adapt it to their own organisation. Bestandsnummer des Verkäufers 9786630165166
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