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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Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Paperback. Etat : 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. N° de réf. du vendeur 9786630165166
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Vendeur : California Books, Miami, FL, Etats-Unis
Etat : New. N° de réf. du vendeur I-9786630165166
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Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9786630165166
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Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9786630165166
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 9786630165166
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Vendeur : CitiRetail, Stevenage, Royaume-Uni
Paperback. Etat : 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. N° de réf. du vendeur 9786630165166
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware 52 pp. Englisch. N° de réf. du vendeur 9786630165166
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 9786630165166
Quantité disponible : 1 disponible(s)