Policies Of Business Intelligence Using Big Data Analytics
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| Author | : Steve Williams |
| Publisher | : Morgan Kaufmann |
| Total Pages | : 241 |
| Release | : 2016-04-08 |
| Genre | : Computers |
| ISBN | : 0128094893 |
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 one's 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
| Author | : Dr. Yogesh Kumar Sharma , Dr. Rajendra Patil , Mr. Sachin Bhosale , Mr. Vinayak Pujari, Dr. Raju Shanmugam, Dr. Thirunavukkarasu Kannapiran |
| Publisher | : Ashok Yakkaldevi |
| Total Pages | : 243 |
| Release | : 2020-12-10 |
| Genre | : Art |
| ISBN | : 1716357152 |
One approach to build up a valuable point of view about what business knowledge (BI) is and its significance in the business world is to take a gander at what business individuals talk about when the subject is BI. Building up a BI Strategy utilizing the techniques we'll portray in this book is a human serious procedure—as it ought to be. We can use demonstrated methods, however the nature of the results depends to a noteworthy degree on "getting into the heads" of key heads and chiefs. How would they see their reality, what are they hoping to achieve, and how would they need BI to support them? We can construct a business case that is "slug verification" from a consistent, corporate point of view, yet it likewise needs to reverberate with businessmen on a more instinctive level that squares with what they accept they would have the option to accomplish on the off chance that they would do well to BI. So to put a human face on BI, this section will step through the business difficulties and BI holes recognized by top heads in an assembling organization we'll call Big Brand Foods (BBF). We'll at that point sum up the BI Vision and BI Portfolio that risen up out of the system definition procedure and offer a few speculations about BI openings (BIOs) for other assembling organizations. While we've picked an assembling organization for this BI contextual investigation, the rationale and procedure of recognizing industry challenges, organization systems, utilitarian difficulties, and BIOs applies to any organization in any industry. Further, the perspectives on heads in the distinctive business capacities might be of incentive to chiefs in a similar capacity yet various businesses.
| Author | : Michael Minelli |
| Publisher | : John Wiley & Sons |
| Total Pages | : 230 |
| Release | : 2013-01-22 |
| Genre | : Business & Economics |
| ISBN | : 111814760X |
Unique prospective on the big data analytics phenomenon for both business and IT professionals The availability of Big Data, low-cost commodity hardware and new information management and analytics software has produced a unique moment in the history of business. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. These capabilities are neither theoretical nor trivial. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue and profitability. The Age of Big Data is here, and these are truly revolutionary times. This timely book looks at cutting-edge companies supporting an exciting new generation of business analytics. Learn more about the trends in big data and how they are impacting the business world (Risk, Marketing, Healthcare, Financial Services, etc.) Explains this new technology and how companies can use them effectively to gather the data that they need and glean critical insights Explores relevant topics such as data privacy, data visualization, unstructured data, crowd sourcing data scientists, cloud computing for big data, and much more.
| Author | : Bernard Marr |
| Publisher | : John Wiley & Sons |
| Total Pages | : 320 |
| Release | : 2016-03-22 |
| Genre | : Business & Economics |
| ISBN | : 1119231396 |
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
| Author | : Parul Gandhi |
| Publisher | : John Wiley & Sons |
| Total Pages | : 320 |
| Release | : 2021-02-03 |
| Genre | : Computers |
| ISBN | : 1119711126 |
The objective of this book is to teach what IoT is, how it works, and how it can be successfully utilized in business. This book helps to develop and implement a powerful IoT strategy for business transformation as well as project execution. Digital change, business creation/change and upgrades in the ways and manners in which we work, live, and engage with our clients and customers, are all enveloped by the Internet of Things which is now named "Industry 5.0" or "Industrial Internet of Things." The sheer number of IoT(a billion+), demonstrates the advent of an advanced business society led by sustainable robotics and business intelligence. This book will be an indispensable asset in helping businesses to understand the new technology and thrive.
| Author | : Bill Schmarzo |
| Publisher | : John Wiley & Sons |
| Total Pages | : 314 |
| Release | : 2015-12-11 |
| Genre | : Computers |
| ISBN | : 1119238846 |
Integrate big data into business to drive competitive advantage and sustainable success Big Data MBA brings insight and expertise to leveraging big data in business so you can harness the power of analytics and gain a true business advantage. Based on a practical framework with supporting methodology and hands-on exercises, this book helps identify where and how big data can help you transform your business. You'll learn how to exploit new sources of customer, product, and operational data, coupled with advanced analytics and data science, to optimize key processes, uncover monetization opportunities, and create new sources of competitive differentiation. The discussion includes guidelines for operationalizing analytics, optimal organizational structure, and using analytic insights throughout your organization's user experience to customers and front-end employees alike. You'll learn to “think like a data scientist” as you build upon the decisions your business is trying to make, the hypotheses you need to test, and the predictions you need to produce. Business stakeholders no longer need to relinquish control of data and analytics to IT. In fact, they must champion the organization's data collection and analysis efforts. This book is a primer on the business approach to analytics, providing the practical understanding you need to convert data into opportunity. Understand where and how to leverage big data Integrate analytics into everyday operations Structure your organization to drive analytic insights Optimize processes, uncover opportunities, and stand out from the rest Help business stakeholders to “think like a data scientist” Understand appropriate business application of different analytic techniques If you want data to transform your business, you need to know how to put it to use. Big Data MBA shows you how to implement big data and analytics to make better decisions.
| Author | : Azevedo, Ana |
| Publisher | : IGI Global |
| Total Pages | : 250 |
| Release | : 2020-12-11 |
| Genre | : Computers |
| ISBN | : 1799857832 |
As technology continues to advance, it is critical for businesses to implement systems that can support the transformation of data into information that is crucial for the success of the company. Without the integration of data (both structured and unstructured) mining in business intelligence systems, invaluable knowledge is lost. However, there are currently many different models and approaches that must be explored to determine the best method of integration. Integration Challenges for Analytics, Business Intelligence, and Data Mining is a relevant academic book that provides empirical research findings on increasing the understanding of using data mining in the context of business intelligence and analytics systems. Covering topics that include big data, artificial intelligence, and decision making, this book is an ideal reference source for professionals working in the areas of data mining, business intelligence, and analytics; data scientists; IT specialists; managers; researchers; academicians; practitioners; and graduate students.
| Author | : Jerzy Surma |
| Publisher | : Business Expert Press |
| Total Pages | : 161 |
| Release | : 2011-03-06 |
| Genre | : Business & Economics |
| ISBN | : 1606491865 |
This book is about using business intelligence as a management information system for supporting managerial decision making. It concentrates primarily on practical business issues and demonstrates how to apply data warehousing and data analytics to support business decision making. This book progresses through a logical sequence, starting with data model infrastructure, then data preparation, followed by data analysis, integration, knowledge discovery, and finally the actual use of discovered knowledge. All examples are based on the most recent achievements in business intelligence. Finally this book outlines an overview of a methodology that takes into account the complexity of developing applications in an integrated business intelligence environment. This book is written for managers, business consultants, and undergraduate and postgraduates students in business administration.
| Author | : Judith S. Hurwitz |
| Publisher | : John Wiley & Sons |
| Total Pages | : 336 |
| Release | : 2013-04-02 |
| Genre | : Computers |
| ISBN | : 1118644174 |
Find the right big data solution for your business or organization Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to develop or manage big data solutions, you'll appreciate how these four experts define, explain, and guide you through this new and often confusing concept. You'll learn what it is, why it matters, and how to choose and implement solutions that work. Effectively managing big data is an issue of growing importance to businesses, not-for-profit organizations, government, and IT professionals Authors are experts in information management, big data, and a variety of solutions Explains big data in detail and discusses how to select and implement a solution, security concerns to consider, data storage and presentation issues, analytics, and much more Provides essential information in a no-nonsense, easy-to-understand style that is empowering Big Data For Dummies cuts through the confusion and helps you take charge of big data solutions for your organization.
| Author | : Patrick C. K. Hung |
| Publisher | : Springer |
| Total Pages | : 216 |
| Release | : 2016-05-18 |
| Genre | : Computers |
| ISBN | : 3319301462 |
This book presents different use cases in big data applications and related practical experiences. Many businesses today are increasingly interested in utilizing big data technologies for supporting their business intelligence so that it is becoming more and more important to understand the various practical issues from different practical use cases. This book provides clear proof that big data technologies are playing an ever increasing important and critical role in a new cross-discipline research between computer science and business.
