Business Intelligence Strategy and Big Data Analytics

• Author : Steve Williams
• Publisher : Morgan Kaufmann
• Release : 15 May 2016

Business Intelligence Strategy in the Big Data Analytics: A General Management Perspective explains how to deliver competitive advantages and substantial economic benefits by overcoming commonly-encountered barriers to success. It includes lessons learned from leading companies that provide practical ideas for how to use the many different forms of BI to meet key business objectives. Further, it clarifies how BI initiatives are really business initiatives that require business units to change how they use information and analysis to drive and improve

• Author : Steve Williams
• Publisher : Morgan Kaufmann
• Release : 08 April 2016

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

• Author : Dr. Yogesh Kumar Sharma , Dr. Rajendra Patil , Mr. Sachin Bhosale , Mr. Vinayak Pujari, Dr. Raju Shanmugam, Dr. Thirunavukkarasu Kannapiran
• Publisher : Ashok Yakkaldevi
• Release : 10 December 2020

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

• Author : Michael Minelli,Michele Chambers,Ambiga Dhiraj
• Publisher : John Wiley & Sons
• Release : 22 January 2013

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

• Author : Miah, Shah J.,Yeoh, William
• Publisher : IGI Global
• Release : 13 July 2018

Data analysis is an important part of modern business administration, as efficient compilation of information allows managers and business leaders to make the best decisions for the financial solvency of their organizations. Understanding the use of analytics, reporting, and data mining in everyday business environments is imperative to the success of modern businesses. Applying Business Intelligence Initiatives in Healthcare and Organizational Settings incorporates emerging concepts, methods, models, and relevant applications of business intelligence systems within problem contexts of healthcare and

• Author : Steve Williams,Nancy Williams
• Publisher : Elsevier
• Release : 27 July 2010

The Profit Impact of Business Intelligence presents an A-to-Z approach for getting the most business intelligence (BI) from a company's data assets or data warehouse. BI is not just a technology or methodology, it is a powerful new management approach that – when done right – can deliver knowledge, efficiency, better decisions, and profit to almost any organization that uses it. When BI first came on the scene, it promised a lot but often failed to deliver. The missing element was the

• Author : David Loshin
• Publisher : Elsevier
• Release : 23 August 2013

Big Data Analytics will assist managers in providing an overview of the drivers for introducing big data technology into the organization and for understanding the types of business problems best suited to big data analytics solutions, understanding the value drivers and benefits, strategic planning, developing a pilot, and eventually planning to integrate back into production within the enterprise. Guides the reader in assessing the opportunities and value proposition Overview of big data hardware and software architectures Presents a variety of

• Author : Amin Hosseinian-Far,Muthu Ramachandran,Dilshad Sarwar
• Publisher : Springer
• Release : 13 February 2017

This book demonstrates the use of a wide range of strategic engineering concepts, theories and applied case studies to improve the safety, security and sustainability of complex and large-scale engineering and computer systems. It first details the concepts of system design, life cycle, impact assessment and security to show how these ideas can be brought to bear on the modeling, analysis and design of information systems with a focused view on cloud-computing systems and big data analytics. This informative book

• Author : Sun, Zhaohao,Wu, Zhiyou
• Publisher : IGI Global
• Release : 11 March 2022

Intelligent business analytics is an emerging technology that has become a mainstream market adopted broadly across industries, organizations, and geographic regions. Intelligent business analytics is a current focus for research and development across academia and industries and must be examined and considered thoroughly so businesses can apply the technology appropriately. The Handbook of Research on Foundations and Applications of Intelligent Business Analytics examines the technologies and applications of intelligent business analytics and discusses the foundations of intelligent analytics such as

• Author : Rimvydas Skyrius
• Publisher : Springer Nature
• Release : 08 March 2021

This book examines the managerial dimensions of business intelligence (BI) systems. It develops a set of guidelines for value creation by implementing business intelligence systems and technologies. In particular the book looks at BI as a process – driven by a mix of human and technological capabilities – to serve complex information needs in building insights and providing aid in decision making. After an introduction to the key concepts of BI and neighboring areas of information processing, the book looks at the

• Author : Idemudia, Efosa Carroll
• Publisher : IGI Global
• Release : 05 June 2020

To date, a plethora of companies and organizations are investing vast amounts of money on the latest technologies. Information technology can be used to improve market share, profits, sales, competitive advantage, and customer/employee satisfaction. Unfortunately, the individuals meant to use these technologies are not well equipped on how to effectively and efficiently use these tools for competitive advantage and decision making. The Handbook of Research on IT Applications for Strategic Competitive Advantage and Decision Making is a collection of

• Author : Risma Ekawati ,Eko Wahyudiharto
• Publisher : Media Sains Indonesia
• Release : 20 July 2021

Saat ini banyak orang berbicara tentang Business Intelligence (BI), Artificial Intelligence (AI) atau Machine Learning (ML) namun hanya sedikit orang yang sesungguhnya paham akan hal teknis, esensi dan hubungan diantaranya. Buku ini hadir sebagai sarana pendalaman yang berfokus membahas tentang teori dan praktek pengolahan data menggunakan algoritma-algoritma AI/ML yang diselaraskan dengan bisnis dan teknologi yang up-to-date. Agar tidak bosan, penulis pun membuat beberapa panduan praktek pemrograman dengan Python dan tutorial dalam bentuk link URL maupun QR code serta quiz

• Author : Nicoleta Tipi
• Publisher : Kogan Page Publishers
• Release : 03 April 2021

An incredible volume of data is generated at a very high speed within the supply chain and it is necessary to understand, use and effectively apply the knowledge learned from analyzing data using intelligent business models. However, practitioners and students in the field of supply chain management face a number of challenges when dealing with business models and mathematical modelling. Supply Chain Analytics and Modelling presents a range of business analytics models used within the supply chain to help readers

• Author : Rick Sherman
• Publisher : Newnes
• Release : 04 November 2014

Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors’ tools lies the essential, yet poorly-understood layer of architecture, design and process. Without this knowledge, Big Data is belittled – projects flounder, are late and go over budget. Business Intelligence Guidebook: From Data Integration to Analytics shines a bright light on an often neglected topic, arming you with the knowledge you need to design rock-solid business intelligence and data integration processes. Practicing consultant and adjunct BI professor

• Author : Management Association, Information Resources
• Publisher : IGI Global
• Release : 24 September 2021

Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics,