Business Analytics: A Management Approach [EPUB]

Business Analytics: A Management Approach [EPUB]
Business Analytics: A Management Approach by Richard Vidgen, Sam Kirshner, Felix Tan
2019 | EPUB | ISBN: 9781352007251 | 57.21MB

This exciting new textbook offers an accessible, business-focused overview of the key theoretical concepts underpinning modern data analytics. It provides engaging and practical advice on using the key software tools, including SAS Visual Analytics, R and DataRobot, that are used in organisations to help make effective data-driven decisions. Combining theory with hands-on practical examples, this essential text includes cutting edge coverage of new areas of interest including social media analytics, design thinking and the ethical implications of using big data. A wealth of learning features including exercises, cases, online resources and data sets help students to develop analytic problem-solving skills.

With its management perspective on analytics and its coverage of a range of popular software tools, this is an ideal essential text for upper-level undergraduate, postgraduate and MBA students. It is also ideal for practitioners wanting to understand the broader organisational context of big data analysis and to engage critically with the tools and techniques of business analytics.

Key Performance Indicators: Developing, Implementing, and Using Winning KPIs, 4th Edition [EPUB]

Key Performance Indicators: Developing, Implementing, and Using Winning KPIs, 4th Edition [EPUB]
Key Performance Indicators: Developing, Implementing, and Using Winning KPIs, 4th Edition by David Parmenter
2019 | EPUB | ISBN: 9781119620778 | 16.97MB

The new edition of the bestselling guide on creating and using key performance indicators―offers significant new and revised content

Key Performance Indicators (KPIs) help define and measure the organizational goals which are fundamental to an organization’s current and future success. Having solid KPIs is crucial for companies that are implementing performance management systems, such as balanced scorecards, six sigma, or activity-based management. In many organizations, KPIs are often too numerous, randomly assembled, and overly complex―essentially rendering them ineffectual, or at worse, counterproductive. Key Performance Indicators provides a model for simplifying the complex areas of KPIs while helping organizations avoid common mistakes and hazards.

Now in its fourth edition, this bestselling guide has been extensively revised and updated to incorporate practical lessons drawn from major implementations. Fresh content includes a more concise KPI methodology with clear implementation guidance, original insights on how other areas of performance management can be corrected, and new in-depth case studies. A revised starter kit is included to identify critical success factors, and the KPI resource kit contains updated worksheets, workshop programs, and questionnaires. Helping readers to better define and measure progress toward goals, this important guide:

  • Dispels the myths of performance measurement and explains a simple, yet powerful KPI methodology
  • Explains the 12-step model for developing and using KPIs with guidelines
  • Helps readers brainstorm performance measures, sell KPI projects to the Board and senior management, and accurately report performance
  • Features the “KPI Project Leaders Corner” which provides readers with essential information and useful exercises
  • Includes an array of practical tools―templates, checklists, performance measures―and a companion website (www.davidparmenter.com)

Key Performance Indicators: Developing, Implementing, and Using Winning KPIs, 4th Edition is important resource for C-suite executives, senior management, project teams, external project facilitators, and team coordinators involved in all aspects of performance management systems.

Avoiding Data Pitfalls: How to Steer Clear of Common Blunders When Working with Data and Presenting Analysis and Visualizations [EPUB]

Avoiding Data Pitfalls: How to Steer Clear of Common Blunders When Working with Data and Presenting Analysis and Visualizations [EPUB]
Avoiding Data Pitfalls: How to Steer Clear of Common Blunders When Working with Data and Presenting Analysis and Visualizations by Ben Jones
2019 | EPUB | ISBN: 9781119278160 | 73.08MB

Avoid data blunders and create truly useful visualizations

Avoiding Data Pitfalls is a reputation-saving handbook for those who work with data, designed to help you avoid the all-too-common blunders that occur in data analysis, visualization, and presentation. Plenty of data tools exist, along with plenty of books that tell you how to use them―but unless you truly understand how to work with data, each of these tools can ultimately mislead and cause costly mistakes. This book walks you step by step through the full data visualization process, from calculation and analysis through accurate, useful presentation. Common blunders are explored in depth to show you how they arise, how they have become so common, and how you can avoid them from the outset. Then and only then can you take advantage of the wealth of tools that are out there―in the hands of someone who knows what they're doing, the right tools can cut down on the time, labor, and myriad decisions that go into each and every data presentation.

Workers in almost every industry are now commonly expected to effectively analyze and present data, even with little or no formal training. There are many pitfalls―some might say chasms―in the process, and no one wants to be the source of a data error that costs money or even lives. This book provides a full walk-through of the process to help you ensure a truly useful result.

  • Delve into the "data-reality gap" that grows with our dependence on data
  • Learn how the right tools can streamline the visualization process
  • Avoid common mistakes in data analysis, visualization, and presentation
  • Create and present clear, accurate, effective data visualizations

To err is human, but in today's data-driven world, the stakes can be high and the mistakes costly. Don't rely on "catching" mistakes, avoid them from the outset with the expert instruction in Avoiding Data Pitfalls.

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