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"Business planning Data processing."
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Supply chain analytics and modelling : quantitative tools and applications
\"An incredible volume of data is generated at a very high speed within the supply chain and it is necessary to understand, use and effectively apply the knowledge learned from analyzing data using intelligent business models. However, practitioners and students in the field of supply chain management face a number of challenges when dealing with business models and mathematical modelling. Supply Chain Analytics and Modelling presents a range of business analytics models used within the supply chain to help readers develop knowledge on a variety of topics to overcome common issues. Supply Chain Analytics and Modelling covers areas including supply chain planning, single and multi-objective optimization, demand forecasting, product allocations, end-to-end supply chain simulation, vehicle routing and scheduling models. Learning is supported by case studies of specialist software packages for each example. Readers will also be provided with a critical view on how supply chain management performance measurement systems have been developed and supported by reliable and accurate data available in the supply chain. Online resources including lecturer slides are available\"-- Provided by publisher.
Social media data mining and analytics
2019,2018
Harness the power of social media to predict customer behavior and improve sales Social media is the biggest source of Big Data.Because of this, 90% of Fortune 500 companies are investing in Big Data initiatives that will help them predict consumer behavior to produce better sales results. Social Media Data Mining and Analytics shows analysts.
Business case analysis with R : simulation tutorials to support complex business decisions
by
Brown, Robert D., author
in
Strategic planning Data processing.
,
Business planning Data processing.
,
Strategic planning Computer simulation.
2018
This tutorial teaches you how to use the statistical programming language R to develop a business case simulation and analysis. It presents a methodology for conducting business case analysis that minimizes decision delay by focusing stakeholders on what matters most and suggests pathways for minimizing the risk in strategic and capital allocation decisions. Business case analysis, often conducted in spreadsheets, exposes decision makers to additional risks that arise just from the use of the spreadsheet environment.
Applied predictive analytics
2014
Written by one of the leading experts on predictive analytics, Applied Predictive Analytics shows tech-savvy business managers and data analysts how to use the sophisticated techniques of predictive analytics that mine Big Data to solve practical business problems.
The data driven leader : a powerful approach to delivering measurable business impact through people analytics
by
Swanson, David
,
Dearborn, Jenny
in
Business intelligence
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Business planning -- Data processing
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Decision making -- Data processing
2018,2017
Data is your most valuable leadership asset—here's how to use it
The Data Driven Leader presents a clear, accessible guide to solving important leadership challenges through human resources-focused and other data analytics. This engaging book shows you how to transform the HR function and overall organizational effectiveness by using data to make decisions grounded in facts vs. opinions, identify root causes behind your company's thorniest problems and move toward a winning, future-focused business strategy. Realistic and actionable, this book tells the story of a successful sales executive who, after leading an analytics-driven turnaround (in Data Driven, this book's predecessor), faces a new turnaround challenge as chief human resources officer. Each chapter features insightful commentary and practical notes on the points the story raises, guiding you to put HR analytics into action in your organization.
HR and other leaders cannot afford to overlook the power and competitive advantages of data-driven decision-making and strategies. This book reflects the growing trend of CEOs choosing analytics-minded business leaders to head HR, at a time when workplaces everywhere face game-changing forces including automation, robotics and artificial intelligence. It is urgent that human resources leaders embrace analytics, not only to remain professionally relevant but also to help their organizations successfully navigate this digital transformation. HR professionals can and must:
* Understand essential data science principles and corporate analytics models
* Identify and execute effective data analytics initiatives
* Boost HR and company productivity and performance with metrics that matter
* Shape an analytics-centric culture that generates data driven leaders
Most organizations capture and report data, but data is useless without analysis that leads to action. The Data Driven Leader shows you how to use this tremendous asset to lead your organization higher.
The data driven leader : a powerful approach to delivering measurable business impact through people analytics
\"This book presents a clear, accessible guide to solving important leadership challenges through human resources-focused and other data analytics. This engaging book shows you how to transform the HR function and overall organizational effectiveness by using data to make decisions grounded in facts vs. opinions, identify root causes behind your company's thorniest problems and move toward a winning, future-focused business strategy. Realistic and actionable, this book tells the story of a successful sales executive who, after leading an analytics-driven turnaround (in Data Driven, this book's predecessor), faces a new turnaround challenge as chief human resources officer. Each chapter features insightful commentary and practical notes on the points the story raises, guiding you to put HR analytics into action in your organization\"-- Provided by publisher.
Big data : using smart big data, analytics and metrics to make better decisions and improve performance
2015
Convert the promise of big data into real world results
There is so much buzz around big data. We all need to know what it is and how it works - that much is obvious. But is a basic understanding of the theory enough to hold your own in strategy meetings? Probably. But what will set you apart from the rest is actually knowing how to USE big data to get solid, real-world business results - and putting that in place to improve performance. Big Data will give you a clear understanding, blueprint, and step-by-step approach to building your own big data strategy. This is a well-needed practical introduction to actually putting the topic into practice. Illustrated with numerous real-world examples from a cross section of companies and organisations, Big Data will take you through the five steps of the SMART model: Start with Strategy, Measure Metrics and Data, Apply Analytics, Report Results, Transform.
* Discusses how companies need to clearly define what it is they need to know
* Outlines how companies can collect relevant data and measure the metrics that will help them answer their most important business questions
* Addresses how the results of big data analytics can be visualised and communicated to ensure key decisions-makers understand them
* Includes many high-profile case studies from the author's work with some of the world's best known brands
High performance through business process management : strategy execution in a digital world
High Performance Through Process Excellence explores how business process management delivers real value in private and public sector organizations around the world. It is written for executives and managers as well as educators and students.