Business Intelligence Demystified

Business Intelligence Demystified

Author: Anoop Kumar V K

Publisher: BPB Publications

Published: 2021-09-25

Total Pages: 343

ISBN-13: 9391030084

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Clear your doubts about Business Intelligence and start your new journey KEY FEATURES ● Includes successful methods and innovative ideas to achieve success with BI. ● Vendor-neutral, unbiased, and based on experience. ● Highlights practical challenges in BI journeys. ● Covers financial aspects along with technical aspects. ● Showcases multiple BI organization models and the structure of BI teams. DESCRIPTION The book demystifies misconceptions and misinformation about BI. It provides clarity to almost everything related to BI in a simplified and unbiased way. It covers topics right from the definition of BI, terms used in the BI definition, coinage of BI, details of the different main uses of BI, processes that support the main uses, side benefits, and the level of importance of BI, various types of BI based on various parameters, main phases in the BI journey and the challenges faced in each of the phases in the BI journey. It clarifies myths about self-service BI and real-time BI. The book covers the structure of a typical internal BI team, BI organizational models, and the main roles in BI. It also clarifies the doubts around roles in BI. It explores the different components that add to the cost of BI and explains how to calculate the total cost of the ownership of BI and ROI for BI. It covers several ideas, including unconventional ideas to achieve BI success and also learn about IBI. It explains the different types of BI architectures, commonly used technologies, tools, and concepts in BI and provides clarity about the boundary of BI w.r.t technologies, tools, and concepts. The book helps you lay a very strong foundation and provides the right perspective about BI. It enables you to start or restart your journey with BI. WHAT YOU WILL LEARN ● Builds a strong conceptual foundation in BI. ● Gives the right perspective and clarity on BI uses, challenges, and architectures. ● Enables you to make the right decisions on the BI structure, organization model, and budget. ● Explains which type of BI solution is required for your business. ● Applies successful BI ideas. WHO THIS BOOK IS FOR This book is a must-read for business managers, BI aspirants, CxOs, and all those who want to drive the business value with data-driven insights. TABLE OF CONTENTS 1. What is Business Intelligence? 2. Why do Businesses need BI? 3. Types of Business Intelligence 4. Challenges in Business Intelligence 5. Roles in Business Intelligence 6. Financials of Business Intelligence 7. Ideas for Success with BI 8. Introduction to IBI 9. BI Architectures 10. Demystify Tech, Tools, and Concepts in BI


Demystifying Big Data and Machine Learning for Healthcare

Demystifying Big Data and Machine Learning for Healthcare

Author: Prashant Natarajan

Publisher: CRC Press

Published: 2017-02-15

Total Pages: 227

ISBN-13: 1315389304

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Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to: Develop skills needed to identify and demolish big-data myths Become an expert in separating hype from reality Understand the V’s that matter in healthcare and why Harmonize the 4 C’s across little and big data Choose data fi delity over data quality Learn how to apply the NRF Framework Master applied machine learning for healthcare Conduct a guided tour of learning algorithms Recognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs) The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.


Demystifying AI for the Enterprise

Demystifying AI for the Enterprise

Author: Prashant Natarajan

Publisher: CRC Press

Published: 2021-12-30

Total Pages: 465

ISBN-13: 1351032925

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Artificial intelligence (AI) in its various forms –– machine learning, chatbots, robots, agents, etc. –– is increasingly being seen as a core component of enterprise business workflow and information management systems. The current promise and hype around AI are being driven by software vendors, academic research projects, and startups. However, we posit that the greatest promise and potential for AI lies in the enterprise with its applications touching all organizational facets. With increasing business process and workflow maturity, coupled with recent trends in cloud computing, datafication, IoT, cybersecurity, and advanced analytics, there is an understanding that the challenges of tomorrow cannot be solely addressed by today’s people, processes, and products. There is still considerable mystery, hype, and fear about AI in today’s world. A considerable amount of current discourse focuses on a dystopian future that could adversely affect humanity. Such opinions, with understandable fear of the unknown, don’t consider the history of human innovation, the current state of business and technology, or the primarily augmentative nature of tomorrow’s AI. This book demystifies AI for the enterprise. It takes readers from the basics (definitions, state-of-the-art, etc.) to a multi-industry journey, and concludes with expert advice on everything an organization must do to succeed. Along the way, we debunk myths, provide practical pointers, and include best practices with applicable vignettes. AI brings to enterprise the capabilities that promise new ways by which professionals can address both mundane and interesting challenges more efficiently, effectively, and collaboratively (with humans). The opportunity for tomorrow’s enterprise is to augment existing teams and resources with the power of AI in order to gain competitive advantage, discover new business models, establish or optimize new revenues, and achieve better customer and user satisfaction.


Big Data Demystified

Big Data Demystified

Author: David Stephenson

Publisher: Pearson UK

Published: 2018-02-19

Total Pages: 178

ISBN-13: 1292218126

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The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed. 'Big Data' refers to a new class of data, to which 'big' doesn't quite do it justice. Much like an ocean is more than simply a deeper swimming pool, big data is fundamentally different to traditional data and needs a whole new approach. Packed with examples and case studies, this clear, comprehensive book will show you how to accumulate and utilise 'big data' in order to develop your business strategy. Big Data Demystified is your practical guide to help you draw deeper insights from the vast information at your fingertips; you will be able to understand customer motivations, speed up production lines, and even offer personalised experiences to each and every customer. With 20 years of industry experience, David Stephenson shows how big data can give you the best competitive edge, and why it is integral to the future of your business.


Seven Methods for Transforming Corporate Data Into Business Intelligence

Seven Methods for Transforming Corporate Data Into Business Intelligence

Author: Vasant Dhar

Publisher:

Published: 1997

Total Pages: 0

ISBN-13: 9780132820066

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Information systems: past, present, and emerging; Intelligence density a metric for knowledge work; The vocabulary of intelligence density; Method one: data-driven decision support; Method two: evolving solutions: genetic algorithms; Method three: simulating the brain to solve problems: neural networks; Method four: putting expert resoning in a box: rule-based systems; Method five: dealing with linguistic ambiguity: fuzzy logic; Method six: soilving problems by analogy case-based resoning; Method seven: deriving rules from data: machine learning; Appendix saving time and money with object; Appendix case studies.


Data Strategy

Data Strategy

Author: Bernard Marr

Publisher: Kogan Page Publishers

Published: 2017-04-03

Total Pages: 201

ISBN-13: 0749479868

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BRONZE RUNNER UP: Axiom Awards 2018 - Business Technology Category Less than 0.5 per cent of all data is currently analyzed and used. However, business leaders and managers cannot afford to be unconcerned or sceptical about data. Data is revolutionizing the way we work and it is the companies that view data as a strategic asset that will survive and thrive. Data Strategy is a must-have guide to creating a robust data strategy. Explaining how to identify your strategic data needs, what methods to use to collect the data and, most importantly, how to translate your data into organizational insights for improved business decision-making and performance, this is essential reading for anyone aiming to leverage the value of their business data and gain competitive advantage. Packed with case studies and real-world examples, advice on how to build data competencies in an organization and crucial coverage of how to ensure your data doesn't become a liability, Data Strategy will equip any organization with the tools and strategies it needs to profit from Big Data, analytics and the Internet of Things (IoT).


Microsoft Power BI Demystified

Microsoft Power BI Demystified

Author: Elijah Falode

Publisher:

Published: 2021-02

Total Pages: 94

ISBN-13:

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Power Bi Demystified enables you to master business intelligence and leverage the Power BI toolsets. It covers important concepts such as installation, creating data models, building basic dashboards, as well as visualizations so you make informed business decisions.Whether you are a business owner, analyst, or financial analyst, you would like to collate data easily, analyze it, and share it with your colleague in real-time. You would want to do this with software that is easy to operate and publishes data with good visuals in a way that you can understand. Microsoft Power BI allows you to get data from different sources, analyze it, and gives you insights on how your business performance. You can share workspaces with your colleagues, and they can easily access your business reports. It makes collaboration easy. In this book, you will find out what Power BI is, the features, the benefits, and the functions. This book also discusses the different versions of Microsoft Power BI - Power BI Server, Power BI Desktop, Power BI Pro, Power BI Premium, and Power BI Report Server. You will get to know the differences between these versions, their features, benefits, and how to set them up. You can operate these Power BI versions both on cloud and on-premise depending on the features of the versions. You can also share your workspace with as many people as you want. You will get to know which Power BI version best suits your company's needs.Power BI also allows you to ask questions about your data and gives you answers to your question. This is due to the artificial intelligence feature. It also provides you the insight you need to make informed decisions that impact your company's bottom line in a positive way. Microsoft Power BI can also integrate with other on-premise apps on your device so as to enable you to collate data easily. It operates with natural language so that you won't need the help of an expert to operate. If you are looking for an upgrade from your Excel, Power BI is the upgrade you need. This book will guide you on everything you need to know about Power BI, and it gives an easy step-by-step guide on how to install, set-up, and use it. Kindly order your copy to know more about this wonderful data intelligence tool!


Measurement Demystified

Measurement Demystified

Author: David Vance

Publisher: Association for Talent Development

Published: 2020-11-17

Total Pages: 496

ISBN-13: 1950496864

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Your Groundbreaking Framework for Measurement and Reporting Most people find measurement, analytics, and reporting daunting—and L&D professionals are no different. As these practices have become critically important for organizations’ efforts to improve performance, talent development professionals have often been slow to embrace them for many reasons, including the seeming complexity and challenge of the practices. Few organizations have a well-thought-out measurement and reporting strategy, and there are often scant resources, limited time, and imperfect data to work with when organizations do attempt to create one. Measurement Demystified: Creating Your L&D Measurement, Analytics, and Reporting Strategy is a much-needed and welcomed resource that breaks new ground with a framework to simplify the discussion of measurement, analytics, and reporting as it relates to L&D and talent development practitioners. This book helps practitioners select and use the right measures for the right reasons; select, create, and use the right types of reports; and create a comprehensive measurement and reporting strategy. Recognizing the angst and reluctance people often show in these areas, authors and experts David Vance and Peggy Parskey break down the practices and processes by providing a common language and an easy-to-use structure. They describe five types of reports, four broad reasons to measure, and three categories of measures. Their method works for large and small organizations, even if yours is an L&D staff of one or two. The guidance remains the same: Start small and grow. Measurement Demystified is a great first book for talent development professionals with no prior knowledge of or experience with measurement and a valuable resource for measurement experts. Those adept at lower levels of training evaluation will grow their knowledge base and capabilities, while measurement experts will discover shortcuts and nuggets of information to enhance their practices. A more comprehensive treatment of these important topics will not be found elsewhere.


Demystifying Artificial intelligence

Demystifying Artificial intelligence

Author: Prashant Kikani

Publisher: BPB Publications

Published: 2021-01-05

Total Pages: 170

ISBN-13: 9389898706

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Learn AI & Machine Learning from the first principles. KEY FEATURESÊÊ _ Explore how different industries are using AI and ML for diverse use-cases. _ Learn core concepts of Data Science, Machine Learning, Deep Learning and NLP in an easy and intuitive manner. _ Cutting-edge coverage on use of ML for business products and services. _ Explore how different companies are monetizing AI and ML technologies. _ Learn how you can start your own journey in the AI field from scratch. DESCRIPTION AI and machine learning (ML) are probably the most fascinating technologies of the 21st century. AI is literally in every industry now. From medical to climate change, education to sport, finance to entertainment, AI is disrupting every industry as we know. So, the basic knowledge of AI/ML becomes mandatory for everyone. This book is your first step to start the journey in this field. Along with basic concepts of fields, like machine learning, deep learning and NLP, we will also explore how big companies are using these technologies to deliver greater user experience and earning millions of dollars in profit. Also, we will see how the owners of small- or medium-sized businesses can leverage and integrate these technologies with their products and services. Leveraging AI and ML can become that competitive moat which can differentiate the product from others. In this book, you will learn the root concepts of AI/ML and how these inanimate machines can actually become smarter than the humans at a few tasks, and how companies are using AI and how you can leverage AI to earn profits. WHAT YOU WILL LEARN Ê _ Core concepts of data science, machine learning, deep learning and NLP in simple and intuitive words. _ How you can leverage and integrate AI technologies in your business to differentiate your product in the market. _ The limitations of traditional non-tech businesses and how AI can bridge those gaps to increase revenues and decrease costs. _ How AI can help companies in launching new products, improving existing ones and automating mundane processes. _ Explore how big tech companies are using AI to automate different tasks and providing unique product experiences to their users. WHO THIS BOOK IS FORÊÊ This book is for anyone who is curious about this fascinating technology and how it really works at its core. It is also beneficial to those who want to start their career in AI/ ML. TABLE OF CONTENTSÊ 1. Introduction 2. Going deeper in ML concepts 3. Business perspective of AI 4. How to get started and pitfalls to avoid


Too Big to Ignore

Too Big to Ignore

Author: Phil Simon

Publisher: John Wiley & Sons

Published: 2013-03-05

Total Pages: 256

ISBN-13: 1118641868

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Residents in Boston, Massachusetts are automatically reporting potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its hundreds of millions of customers. Quantcast lets companies target precise audiences and key demographics throughout the Web. NASA runs contests via gamification site TopCoder, awarding prizes to those with the most innovative and cost-effective solutions to its problems. Explorys offers penetrating and previously unknown insights into healthcare behavior. How do these organizations and municipalities do it? Technology is certainly a big part, but in each case the answer lies deeper than that. Individuals at these organizations have realized that they don't have to be Nate Silver to reap massive benefits from today's new and emerging types of data. And each of these organizations has embraced Big Data, allowing them to make astute and otherwise impossible observations, actions, and predictions. It's time to start thinking big. In Too Big to Ignore, recognized technology expert and award-winning author Phil Simon explores an unassailably important trend: Big Data, the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever. Never before have we seen data with the volume, velocity, and variety of today. Big Data is no temporary blip of fad. In fact, it is only going to intensify in the coming years, and its ramifications for the future of business are impossible to overstate. Too Big to Ignore explains why Big Data is a big deal. Simon provides commonsense, jargon-free advice for people and organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required reading for chief executives, company owners, industry leaders, and business professionals.