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Building an analysis ecosystem for a smarter approach to intelligence Keith Carter's Actionable Intelligence: A Guide to Delivering Business Results with Big Data Fast! is the comprehensive guide to achieving the dream that business intelligence practitioners have been chasing since the concept itself came into being. Written by an IT visionary with extensive global supply chain experience and insight, this book describes what happens when team members have accurate, reliable, usable, and timely information at their fingertips. With a focus on leveraging big data, the book provides expert guidance on developing an analytical ecosystem to effectively manage, use the internal and external information to deliver business results. This book is written by an author who's been in the trenches for people who are in the trenches. It's for practitioners in the real world, who know delivering results is easier said than done – fraught with failure, and difficult politics. A landscape where reason and passion are needed to make a real difference. This book lays out the appropriate way to establish a culture of fact-based decision making, innovation, forward looking measurements, and appropriate high-speed governance. Readers will enable their organization to: Answer strategic questions faster Reduce data acquisition time and increase analysis time to improve outcomes Shift the focus to positive results rather than past failures Expand opportunities by more effectively and thoughtfully leveraging information Big data makes big promises, but it cannot deliver without the right recipe of people, processes and technology in place. It's about choosing the right people, giving them the right tools, and taking a thoughtful—rather than formulaic--approach. Actionable Intelligence provides expert guidance toward envisioning, budgeting, implementing, and delivering real benefits.
Building an analysis ecosystem for a smarter approach to intelligence Keith Carter's Actionable Intelligence: A Guide to Delivering Business Results with Big Data Fast! is the comprehensive guide to achieving the dream that business intelligence practitioners have been chasing since the concept itself came into being. Written by an IT visionary with extensive global supply chain experience and insight, this book describes what happens when team members have accurate, reliable, usable, and timely information at their fingertips. With a focus on leveraging big data, the book provides expert guidance on developing an analytical ecosystem to effectively manage, use the internal and external information to deliver business results. This book is written by an author who's been in the trenches for people who are in the trenches. It's for practitioners in the real world, who know delivering results is easier said than done - fraught with failure, and difficult politics. A landscape where reason and passion are needed to make a real difference. This book lays out the appropriate way to establish a culture of fact-based decision making, innovation, forward looking measurements, and appropriate high-speed governance. Readers will enable their organization to: Answer strategic questions faster Reduce data acquisition time and increase analysis time to improve outcomes Shift the focus to positive results rather than past failures Expand opportunities by more effectively and thoughtfully leveraging information Big data makes big promises, but it cannot deliver without the right recipe of people, processes and technology in place. It's about choosing the right people, giving them the right tools, and taking a thoughtful-rather than formulaic--approach. Actionable Intelligence provides expert guidance toward envisioning, budgeting, implementing, and delivering real benefits.
Building an analysis ecosystem for a smarter approach to intelligence Keith Carter's Actionable Intelligence: A Guide to Delivering Business Results with Big Data Fast! is the comprehensive guide to achieving the dream that business intelligence practitioners have been chasing since the concept itself came into being. Written by an IT visionary with extensive global supply chain experience and insight, this book describes what happens when team members have accurate, reliable, usable, and timely information at their fingertips. With a focus on leveraging big data, the book provides expert guidance on developing an analytical ecosystem to effectively manage, use the internal and external information to deliver business results. This book is written by an author who's been in the trenches for people who are in the trenches. It's for practitioners in the real world, who know delivering results is easier said than done – fraught with failure, and difficult politics. A landscape where reason and passion are needed to make a real difference. This book lays out the appropriate way to establish a culture of fact-based decision making, innovation, forward looking measurements, and appropriate high-speed governance. Readers will enable their organization to: Answer strategic questions faster Reduce data acquisition time and increase analysis time to improve outcomes Shift the focus to positive results rather than past failures Expand opportunities by more effectively and thoughtfully leveraging information Big data makes big promises, but it cannot deliver without the right recipe of people, processes and technology in place. It's about choosing the right people, giving them the right tools, and taking a thoughtful—rather than formulaic--approach. Actionable Intelligence provides expert guidance toward envisioning, budgeting, implementing, and delivering real benefits.
This book contains extended versions of the best papers presented at the 14th International Conference on Information and Communication Technologies in Education, Research, and Industrial Applications, ICTERI 2018, held in Kyiv, Ukraine, in May 2018. The 14 revised full papers included in this volume along with one invited full paper were carefully reviewed and selected from 257 initial submissions. The papers are organized in the following topical sections: ​advances in ICT research, ICT in education and education management, ICT solutions for industrial applications.
In a global environment of constant change, students learning accounting need to be able to think critically about the issues facing organizations. While accounting textbooks provide the technical foundation, cases reinforce the concepts and challenge students to identify alternatives, and discuss and provide recommendations. The second edition of Canadian Financial Accounting Cases has been developed to bridge the gap between the foundational concepts and the real world. Students are introduced to the case study methodology for financial accounting, which focuses on identifying the issue, understanding implications, developing alternatives, and making recommendations. In addition, one chapter is devoted to debriefing a case study, providing valuable tips for students wishing to pursue accounting designations after graduation. The cases range from introductory level to advanced level and are meant to be used as assignment cases or for in-class discussion. The cases have been developed using IFRS (Part I), ASPE (Part II) and ASNPO (Part III) as the accounting frameworks, providing students with exposure to many different types of organizational structures, and have been linked to the CPA Competency Map. Instructors are provided with detailed teaching notes that will assist in guiding the class discussions.
Leverage big data to add value to your business Social media analytics, web-tracking, and other technologies help companies acquire and handle massive amounts of data to better understand their customers, products, competition, and markets. Armed with the insights from big data, companies can improve customer experience and products, add value, and increase return on investment. The tricky part for busy IT professionals and executives is how to get this done, and that's where this practical book comes in. Big Data: Understanding How Data Powers Big Business is a complete how-to guide to leveraging big data to drive business value. Full of practical techniques, real-world examples, and hands-on exercises, this book explores the technologies involved, as well as how to find areas of the organization that can take full advantage of big data. Shows how to decompose current business strategies in order to link big data initiatives to the organization’s value creation processes Explores different value creation processes and models Explains issues surrounding operationalizing big data, including organizational structures, education challenges, and new big data-related roles Provides methodology worksheets and exercises so readers can apply techniques Includes real-world examples from a variety of organizations leveraging big data Big Data: Understanding How Data Powers Big Business is written by one of Big Data's preeminent experts, William Schmarzo. Don't miss his invaluable insights and advice.
Combine advanced analytics including Machine Learning, Deep Learning Neural Networks and Natural Language Processing with modern scalable technologies including Apache Spark to derive actionable insights from Big Data in real-time Key FeaturesMake a hands-on start in the fields of Big Data, Distributed Technologies and Machine LearningLearn how to design, develop and interpret the results of common Machine Learning algorithmsUncover hidden patterns in your data in order to derive real actionable insights and business valueBook Description Every person and every organization in the world manages data, whether they realize it or not. Data is used to describe the world around us and can be used for almost any purpose, from analyzing consumer habits to fighting disease and serious organized crime. Ultimately, we manage data in order to derive value from it, and many organizations around the world have traditionally invested in technology to help process their data faster and more efficiently. But we now live in an interconnected world driven by mass data creation and consumption where data is no longer rows and columns restricted to a spreadsheet, but an organic and evolving asset in its own right. With this realization comes major challenges for organizations: how do we manage the sheer size of data being created every second (think not only spreadsheets and databases, but also social media posts, images, videos, music, blogs and so on)? And once we can manage all of this data, how do we derive real value from it? The focus of Machine Learning with Apache Spark is to help us answer these questions in a hands-on manner. We introduce the latest scalable technologies to help us manage and process big data. We then introduce advanced analytical algorithms applied to real-world use cases in order to uncover patterns, derive actionable insights, and learn from this big data. What you will learnUnderstand how Spark fits in the context of the big data ecosystemUnderstand how to deploy and configure a local development environment using Apache SparkUnderstand how to design supervised and unsupervised learning modelsBuild models to perform NLP, deep learning, and cognitive services using Spark ML librariesDesign real-time machine learning pipelines in Apache SparkBecome familiar with advanced techniques for processing a large volume of data by applying machine learning algorithmsWho this book is for This book is aimed at Business Analysts, Data Analysts and Data Scientists who wish to make a hands-on start in order to take advantage of modern Big Data technologies combined with Advanced Analytics.
Explore the insights of a world-leading CIO as he expounds on the challenges faced by technology executives and how to overcome them As the pace of change in business continues to rapidly accelerate, Chief Information Officers and Chief Technology Officers are often left with accountability for future-proofing their organizations. Renowned professor, executive, and author Alex Siow shows you how you can meet that challenge while managing the information overload that often accompanies these positions. In Leading with IT: Lessons from Singapore’s First CIO, the author uses his expansive and impressive experience in academia and industry to lead you down a path to achieving success as a CIO or CTO. Filled with practical tips, case studies, and personal insights, the book discusses: The management of legacy information and telecommunications technology The information overload often suffered by technology executives How to motivate and mentor a workforce How to manage change effectively The fostering of innovation The future of money, work, and artificial intelligence Perfect for CIOs, CTOs, and the executives, managers, and employees who work with and for them, Leading with IT delivers an engaging and insightful exploration of what it takes to achieve astounding results at the intersection of technology and business.
The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective. From technology, media and retail, to sport teams, government agencies and financial institutions, learn the actual strategies and processes being used to learn about customers, improve manufacturing, spur innovation, improve safety and so much more. Organised for easy dip-in navigation, each chapter follows the same structure to give you the information you need quickly. For each company profiled, learn what data was used, what problem it solved and the processes put it place to make it practical, as well as the technical details, challenges and lessons learned from each unique scenario. Learn how predictive analytics helps Amazon, Target, John Deere and Apple understand their customers Discover how big data is behind the success of Walmart, LinkedIn, Microsoft and more Learn how big data is changing medicine, law enforcement, hospitality, fashion, science and banking Develop your own big data strategy by accessing additional reading materials at the end of each chapter
2016 eLIT GOLD AWARD - BEST BUSINESS REFERENCE BOOKNOMINATED FOR 2016 SMALL BUSINESS BOOK AWARDSToday, an organization's survival ultimately rests on how well (and fast!) it creates value. That's why decision-makers consistently rate business intelligence as one of their top investment priorities. They depend on information to help them compete in a world where disruption is a constant and speed an obsession. But recognizing the need for BI is one thing. Effectively using it to create value is an entirely different matter.Hyper is the essential quick-read guide for busy business and IT professionals struggling to make BI work. Packed with pragmatic advice, proven methods, and real-world tools, this book provides straight talk on how to finally deliver BI in a hyper-responsive, hyper-agile, and hyper-flexible way. Inside you will discover:* Ways to overcome the 4 primary challenges associated with BI planning and execution* Methods to create, validate, and communicate requirements that accelerate decision-making* How to deliver quick wins that drive end-user adoption and long-lasting solutionsPlus, you'll find practical tips from years of hands-on field work. Hyper will change the way you think about, plan, and execute BI. For real results, real fast!TABLE OF CONTENTSForeword"The Age Of The Customer Demands A New Approach To BI Planning and Execution" by Boris Evelson, Vice President and Principal Analyst | Forrester Research, Inc.Section 1 - Understanding BI - Chapter 1 - Value Creation - Chapter 2 - The BI Value Chain - Chapter 3 - Value Enablers - Chapter 4 - The Problem with BISection 2 - The Imperatives for Success - Chapter 5 - Addressing the Problem with BI - Chapter 6 - Unify - Chapter 7 - Simplify - Chapter 8 - Amplify - Chapter 9 - Qualify - Chapter 10 - The Importance of CollaborationSection 3 - Methods to Accelerate Planning - Chapter 11 - Building Requirements for Quick Wins and Beyond - Chapter 12 - Painting the Big Picture - Chapter 13 - Prioritizing Mission-Critical Information Needs - Chapter 14 - Building the Information Universe - Chapter 15 - Validating the Information Model - Chapter 16 - Bridging the Gap Between Business and IT - Chapter 17 - Mapping the Data - Chapter 18 - Creating the Execution Plan - Chapter 19 - Documenting Your FindingsSection 4 - Ways to Accelerate Execution - Chapter 20 - Be Quick and Nimble - Chapter 21 - Socialize, Market and Sell - Chapter 22 - Monitor, Evaluate and Evolve - Chapter 23 - Bringing It All TogetherSection 5 - Beyond Planning and Execution - Chapter 24 - Effective Group Facilitation - Chapter 25 - Thoughts On Information Delivery - Chapter 26 - Another Perspective on Big Data - Chapter 27 - Working With Consultants - Chapter 28 - Characteristics of a Hyper Mindset - Chapter 29 - A Final WordRecommended Resources - Websites - Research Community - Professional Services Organizations - Specialists