Business Analytics.
Overview
| Works: | 32 works in 13 publications in 13 languages | |
|---|---|---|
Titles
Business analysis done right = lessons learned and pitfalls avoided /
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Advances in the theory and applications of performance measurement and management = proceedings of DEA45--International Conference on Data Envelopment Analysis /
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Prescriptive analytics = mastering the spreadsheet of everything /
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Procurement analytics = data-driven decision-making in procurement and supply management /
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Pro power BI theme creation = JSON stylesheets for automated dashboard formatting /
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Sustainable practices in Italian businesses = environmental, social and economic aspects /
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Applications of emerging technologies and AI/ML algorithms = International Conference on Data Analytics in Public Procurement and Supply Chain (ICDAPS2022) /
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Customer-centricity in organized retailing = a guide to the basis of winning strategies /
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Applied linear regression for business analytics with R = a practical guide to data science with case studies /
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Machine Learning for Auditors = Automating Fraud Investigations Through Artificial Intelligence /
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Snowflake Essentials = Getting Started with Big Data in the Cloud /
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Introducing Charticulator for Power BI = Design Vibrant and Customized Visual Representations of Data /
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Getting Started with Grafana = Real-Time Dashboards for IT and Business Operations /
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Analytics for Retail = A Step-by-Step Guide to the Statistics Behind a Successful Retail Business /
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Decision Analytics for Sustainable Development in Smart Society 5.0 = Issues, Challenges and Opportunities /
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Machine Learning for Practical Decision Making = A Multidisciplinary Perspective with Applications from Healthcare, Engineering and Business Analytics /
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International Conference on Managing Business Through Web Analytics
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Data Analysis with Machine Learning for Psychologists = Crash Course to Learn Python 3 and Machine Learning in 10 hours /
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Analytics und Artificial Intelligence = Datenprojekte mehrwertorientiert, agil und nachhaltig planen und umsetzen /
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Building the Snowflake Data Cloud = Monetizing and Democratizing Your Data /
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Pro Data Mashup for Power BI = Powering Up with Power Query and the M Language to Find, Load, and Transform Data /
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