How to find the best data for business performance for 2019?
When you want to find data for business performance, you may need to consider between many choices. Finding the best data for business performance is not an easy task. In this post, we create a very short list about top 9 the best data for business performance for you. You can check detail product features, product specifications and also our voting for each product. Let’s start with following top 9 data for business performance:
Best data for business performance
1. High Performance Planner Full-Year Pack: 6 Planners = 12-Month Supply
DescriptionFor ultimate high performance: a full year's supply of the revolutionary planner-and-journal designed by the world-leading coach in high performance and backed by science--featuring calendars, writing prompts, schedules, self-assessments, and a variety of colors.
Committed to high performance? This pack of six 2-in-1 day planners/journals will guide you through strategizing the next 12 months of your life. Based on the world's largest study of how high performers increase productivity, set goals, prioritize projects, outperform their peers, and create the positive mindset and habits needed to win the day, The High Performance Planner includes morning mindset journal prompts, daily goal boxes, evening scorecards, weekly habit assessments, monthly project planning, and proprietary whole life balance sheets.
Best-selling author and world-leading high performance coach Brendon Burchard designed the Planner to help you think more strategically, prioritize like a pro, achieve your goals faster, and become more focused, happy, and productive. Best of all, the Planner helps you install the personal and professional habits proven to lead to long-term success. Brendon says, "High performance means succeeding over the long term without compromising your health or positive relationships." This Planner helps you do that by accounting for your entire life's progress, not just your daily to-dos.
The six planners in the Full-Year Pack come in a variety of colors, which are also all available for individual sale: Red (978-1-4019-5732-2), Orange (978-1-4019-5734-6), Yellow (978-1-4019-5733-9), Blue (978-1-4019-5736-0), Green (978-1-4019-5735-3), and the original Black (978-1-4019-5723-0).
2. Data for Business Performance: The Goal-Question-Metric (GQM) Model to Transform Business Data into an Enterprise Asset
DescriptionToday, digitization is dramatically changing the business landscape, and many progressive organizations have started to treat data as a valuable business asset. While many enterprises are investing in improved data management, only a few have leveraged data to truly impact business performance. To address this problem, Data for Business Performance provides readers with practical guidance and proven techniques to derive value from data in today's business environment. Specifically, this book:
- is holistic, as it looks at deriving value for all three key purposes of data: decision making, compliance, and customer service.
- is for practitioners, with practical guidance and proven techniques supported by real world examples.
- is relevant for the current business and IT landscape.
- is novel, with the adoption of the Goal-Question-Metric (GQM) framework as the core mechanism to monetize data in the organization, based on business goals, key questions, and key performance indicators (KPIs).
- is technology-agnostic, as concepts are used for unlocking the value of data without any reference to proprietary technologies.
Mario Faria Managing Vice President, Gartner, US
Packed with insights and leveraging a process oriented approach, this book covers a unique combination of the science, the art and the strategy of unlocking the potential of data for enterprises in a real-life context. The author has managed to provide a clear action plan for creating data analytics and its management a key function in a modern enterprise.
Ashish Sonal (Vir Chakra)
CEO, Orkash, India
This book is one of the most practical sources for how companies can greatly improve their bottom line by improved data management and becoming a data-centric company. It combines leading data management theory with step-by-step implementation and real-life examples, and is a must-read for those wanting to derive more value from their corporate data.
Application Architect, Husky Energy, Canada
Prashanth has given a very practical guide to implement data culture in an organization. The book Data for Business Performance talks about building the organization of the future and the role of data. Prashanth rightly believes and demonstrates that data is not an asset of the IT team and is an organization-wide asset. He proposes the need for the chief data officer (CDO) as a role that should anchor data and report to the CEO, and manage the stakeholders' data needs.
Senior Vice President, Hansa Cequity, India
Dr. Southekal provides valuable insights on data and information management in mostly short and clearly written sections. Anyone interested in the data-driven company should read this book and learn about the hurdles on the road to be data-driven, and his valuable suggestions on how to overcome them. His wisdom may prevent some of the failures that helped him learn.
Erik van der Voorden
Domain Architect, Independent Consultant, Netherlands
3. Data-Driven HR: How to Use Analytics and Metrics to Drive Performance
Traditionally seen as a purely people function unconcerned with numbers, HR is now uniquely placed to use company data to drive performance, both of the people in the organization and the organization as a whole. Data-driven HR is a practical guide which enables HR professionals to leverage the value of the vast amount of data available at their fingertips. Covering how to identify the most useful sources of data, collect information in a transparent way that is in line with data protection requirements and turn this data into tangible insights, this book marks a turning point for the HR profession.
Covering all the key elements of HR including recruitment, employee engagement, performance management, wellbeing and training, Data-driven HR examines the ways data can contribute to organizational success by, among other things, optimizing processes, driving performance and improving HR decision making. Packed with case studies and real-life examples, this is essential reading for all HR professionals looking to make a measurable difference in their organizations.
4. Data Mining and Business Analytics with R
Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets. As a result, readers are provided with the needed guidance to model and interpret complicated data and become adept at building powerful models for prediction and classification.
Highlighting both underlying concepts and practical computational skills, Data Mining and Business Analytics with R begins with coverage of standard linear regression and the importance of parsimony in statistical modeling. The book includes important topics such as penalty-based variable selection (LASSO); logistic regression; regression and classification trees; clustering; principal components and partial least squares; and the analysis of text and network data. In addition, the book presents:
A thorough discussion and extensive demonstration of the theory behind the most useful data mining tools
Illustrations of how to use the outlined concepts in real-world situations
Readily available additional data sets and related R code allowing readers to apply their own analyses to the discussed materials
Numerous exercises to help readers with computing skills and deepen their understanding of the material
Data Mining and Business Analytics with R is an excellent graduate-level textbook for courses on data mining and business analytics. The book is also a valuable reference for practitioners who collect and analyze data in the fields of finance, operations management, marketing, and the information sciences.
5. Business Intelligence Strategy and Big Data Analytics: A General Management Perspective
Business Intelligence Strategy and Big Data Analytics is written for business leaders, managers, and analysts - people who are involved with advancing the use of BI at their companies or who need to better understand what BI is and how it can be used to improve profitability. It is written from a general management perspective, and it draws on observations at 12 companies whose annual revenues range between $500 million and $20 billion. Over the past 15 years, my company has formulated vendor-neutral business-focused BI strategies and program execution plans in collaboration with manufacturers, distributors, retailers, logistics companies, insurers, investment companies, credit unions, and utilities, among others. It is through these experiences that we have validated business-driven BI strategy formulation methods and identified common enterprise BI program execution challenges.
In recent years, terms like big data and big data analytics have been introduced into the business and technical lexicon. Upon close examination, the newer terminology is about the same thing that BI has always been about: analyzing the vast amounts of data that companies generate and/or purchase in the course of business as a means of improving profitability and competitiveness. Accordingly, we will use the terms BI and business intelligence throughout the book, and we will discuss the newer concepts like big data as appropriate. More broadly, the goal of this book is to share methods and observations that will help companies achieve BI success and thereby increase revenues, reduce costs, or both.
- Provides ideas for improving the business performance of ones company or business functions
- Emphasizes proven, practical, step-by-step methods that readers can readily apply in their companies
- Includes exercises and case studies with road-tested advice about formulating BI strategies and program plans
6. The Power of People: Learn How Successful Organizations Use Workforce Analytics To Improve Business Performance (FT Press Analytics)
DescriptionLearn from Todays Most Successful Workforce Analytics Leaders
Transforming the immense potential of workforce analytics into reality isnt easy. Pioneering practitioners have learned crucial lessons that can help you succeed. The Power of People shares their journeysand their indispensable insights.
Drawing on incisive case studies and vignettes, three experts help you bring purpose and clarity to any workforce analytics project, with robust research design and analysis to get reliable insights. They reveal where to start, where to find stakeholder support, and how to earn quick wins to build upon.
Youll learn how to sustain success through best-practice data management, technology usage, partnering, and skill building. Finally, youll discover how to earn even more value by establishing an analytical mindset throughout HR, and building two key skills: storytelling and visualization.
The Power of People will be invaluable to HR executives establishing or leading analytics functions; HR professionals planning analytics projects; and any business executive who wants more value from HR.
7. Performance Dashboards: Measuring, Monitoring, and Managing Your Business
DescriptionTips, techniques, and trends on harnessing dashboard technology to optimize business performance
In Performance Dashboards, Second Edition, author Wayne Eckerson explains what dashboards are, where they can be used, and why they are important to measuring and managing performance. As Director of Research for The Data Warehousing Institute, a worldwide association of business intelligence professionals, Eckerson interviewed dozens of organizations that have built various types of performance dashboards in different industries and lines of business. Their practical insights explore how you can effectively turbo-charge performancemanagement initiatives with dashboard technology.
- Includes all-new case studies, industry research, news chapters on "Architecting Performance Dashboards" and "Launching and Managing the Project" and updated information on designing KPIs, designing dashboard displays, integrating dashboards, and types of dashboards.
- Provides a solid foundation for understanding performance dashboards, business intelligence, and performance management
- Addresses the next generation of performance dashboards, such as Mashboards and Visual Discovery tools, and including new techniques for designing dashboards and developing key performance indicators
- Offers guidance on how to incorporate predictive analytics, what-if modeling, collaboration, and advanced visualization techniques
This updated book, which is 75% rewritten, provides a foundation for understanding performance dashboards, business intelligence, and performance management to optimize performance and accelerate results.
8. Big Data - Using SMART Big Data, Analytics and Metrics To Make Better Decisions and Improve Performance
DescriptionConvert 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
9. High Performance Spark: Best Practices for Scaling and Optimizing Apache Spark
Apache Spark is amazing when everything clicks. But if you havent seen the performance improvements you expected, or still dont feel confident enough to use Spark in production, this practical book is for you. Authors Holden Karau and Rachel Warren demonstrate performance optimizations to help your Spark queries run faster and handle larger data sizes, while using fewer resources.
Ideal for software engineers, data engineers, developers, and system administrators working with large-scale data applications, this book describes techniques that can reduce data infrastructure costs and developer hours. Not only will you gain a more comprehensive understanding of Spark, youll also learn how to make it sing.
With this book, youll explore:
- How Spark SQLs new interfaces improve performance over SQLs RDD data structure
- The choice between data joins in Core Spark and Spark SQL
- Techniques for getting the most out of standard RDD transformations
- How to work around performance issues in Sparks key/value pair paradigm
- Writing high-performance Spark code without Scala or the JVM
- How to test for functionality and performance when applying suggested improvements
- Using Spark MLlib and Spark ML machine learning libraries
- Sparks Streaming components and external community packages