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Business Analytics - Unleashing Data Driven Decision Making

Author : JUBI R
Publisher : NEHAS PUBLICATIONS
Page : 367 pages
File Size : 17,77 MB
Release : 2024-01-12
Category : Business & Economics
ISBN : 819681142X

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In today's dynamic and data-driven business landscape, the art and science of Business Analytics have emerged as critical tools for exploration, introspection, and informed decision-making. "Business Analytics," the book at hand, delves into the practices and competencies essential for unraveling the complexities of business performance, facilitating purposeful, intuitive, and expedient decision-making processes. The essence of Business Analytics lies in the extensive exploration of business data, aiming to extract meaningful information usable by managers across various organizational levels. This book positions Business Analytics as a catalyst for fact-based decision-making, elevating accountability in the decision-making process. It defines Business Analytics as a methodical process that involves scrutinizing and summarizing data with the explicit purpose of uncovering hidden predictive insights. This book places a particular emphasis on the science and artistry of business analytics, with a special focus on financial analytics. It not only explores the practical aspects but also lays the theoretical foundations, providing a comprehensive context for various elements of business analytics within specific business situations. A distinctive feature of this book is its commitment to showcasing the implementation of analytics by illustrating how leading companies leverage this power to enhance their investments. Acknowledging that scientific knowledge alone may not suffice for sound decision-making, the book underscores the importance of combining scientific expertise with a deep understanding of the business context and the best available information. Addressing a notable gap in existing literature, this book goes beyond traditional academic texts that predominantly concentrate on quantitative methods. Instead, it extends its reach to cover analytics for non-quantitative managers. In doing so, the book aims to equip a broader audience with the knowledge and tools necessary to harness the benefits of Business Analytics in diverse business scenarios. As you embark on this journey through the pages of "Business Analytics," you will gain insights into the transformative power of analytics in decision-making, and how it has become an indispensable asset for businesses navigating the intricacies of the contemporary corporate landscape.

Data Driven Decision Making using Analytics

Author : Parul Gandhi
Publisher : CRC Press
Page : 151 pages
File Size : 25,76 MB
Release : 2021-12-16
Category : Computers
ISBN : 1000506436

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This book aims to explain Data Analytics towards decision making in terms of models and algorithms, theoretical concepts, applications, experiments in relevant domains or focused on specific issues. It explores the concepts of database technology, machine learning, knowledge-based system, high performance computing, information retrieval, finding patterns hidden in large datasets and data visualization. Also, it presents various paradigms including pattern mining, clustering, classification, and data analysis. Overall aim is to provide technical solutions in the field of data analytics and data mining. Features: Covers descriptive statistics with respect to predictive analytics and business analytics. Discusses different data analytics platforms for real-time applications. Explain SMART business models. Includes algorithms in data sciences alongwith automated methods and models. Explores varied challenges encountered by researchers and businesses in the realm of real-time analytics. This book aims at researchers and graduate students in data analytics, data sciences, data mining, and signal processing.

Business Analytics, Volume I

Author : Amar Sahay
Publisher : Business Expert Press
Page : 206 pages
File Size : 31,97 MB
Release : 2018-08-23
Category : Business & Economics
ISBN : 1631573322

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Business Analytics: A Data-Driven Decision Making Approach for Business-Part I,/i> provides an overview of business analytics (BA), business intelligence (BI), and the role and importance of these in the modern business decision-making. The book discusses all these areas along with three main analytics categories: (1) descriptive, (2) predictive, and (3) prescriptive analytics with their tools and applications in business. This volume focuses on descriptive analytics that involves the use of descriptive and visual or graphical methods, numerical methods, as well as data analysis tools, big data applications, and the use of data dashboards to understand business performance. The highlights of this volume are: Business analytics at a glance; Business intelligence (BI), data analytics; Data, data types, descriptive analytics; Data visualization tools; Data visualization with big data; Descriptive analytics-numerical methods; Case analysis with computer applications.

Data Analytics for Organisational Development

Author : Uwe H. Kaufmann
Publisher : John Wiley & Sons
Page : 372 pages
File Size : 44,66 MB
Release : 2021-07-26
Category : Computers
ISBN : 1119758335

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A practical guide for anyone who aspires to become data analytics–savvy Data analytics has become central to the operation of most businesses, making it an increasingly necessary skill for every manager and for all functions across an organisation. Data Analytics for Organisational Development: Unleashing the Potential of Your Data introduces a methodical process for gathering, screening, transforming, and analysing the correct datasets to ensure that they are reliable tools for business decision-making. Written by a Six Sigma Master Black Belt and a Lean Six Sigma Black Belt, this accessible guide explains and illustrates the application of data analytics for organizational development and design, with particular focus on Customer and Strategy Analytics, Operations Analytics and Workforce Analytics. Designed as both a handbook and workbook, Data Analytics for Organisational Development presents the application of data analytics for organizational design and development using case studies and practical examples. It aims to help build a bridge between data scientists, who have less exposure to actual business issues, and the "non-data scientists." With this guide, anyone can learn to perform data analytics tasks from translating a business question into a data science hypothesis to understanding the data science results and making the appropriate decisions. From data acquisition, cleaning, and transformation to analysis and decision making, this book covers it all. It also helps you avoid the pitfalls of unsound decision making, no matter where in the value chain you work. Follow the “Five Steps of a Data Analytics Case” to arrive at the correct business decision based on sound data analysis Become more proficient in effectively communicating and working with the data experts, even if you have no background in data science Learn from cases and practical examples that demonstrate a systematic method for gathering and processing data accurately Work through end-of-chapter exercises to review key concepts and apply methods using sample data sets Data Analytics for Organisational Development includes downloadable tools for learning enrichment, including spreadsheets, Power BI slides, datasets, R analysis steps and more. Regardless of your level in your organisation, this book will help you become savvy with data analytics, one of today’s top business tools.

Data-Driven Decision Making

Author : Datawhiz S
Publisher : Independently Published
Page : 0 pages
File Size : 30,61 MB
Release : 2023-07-10
Category :
ISBN :

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In the ever-evolving landscape of business, the power of data-driven decision making has become paramount. In the compelling book, "DATA-DRIVEN DECISION MAKING: Leveraging Analytics for Smarter Business Choices," Datawhiz takes you on a captivating journey into the world of data and analytics, unraveling the secrets to making informed choices that propel success. Discover how to navigate the complex realm of data and leverage cutting-edge analytics techniques to gain a competitive edge. Through expert guidance and real-world examples, Datawhiz illuminates the path to unlocking hidden insights and making data-driven decisions that revolutionize your business trajectory. With an emphasis on SEO optimization, this book ensures discoverability with critical keywords and targeted content, making it a must-read resource for individuals and organizations seeking to excel in data-driven decision making. From data quality assurance to predictive analytics, Datawhiz provides a comprehensive guide to mastering the art and science of data analysis. Unleash the power of data to gain deep customer insights, optimize operational efficiency, and drive revenue growth. Whether you're a business leader, entrepreneur, or aspiring data analyst, this book equips you with the tools and knowledge to harness the full potential of analytics and make smarter choices that propel your success. Don't miss your chance to embark on this thrilling journey into the world of data-driven decision making. With Datawhiz's engaging storytelling, practical strategies, and actionable advice, you'll transform raw data into actionable insights that fuel your business's growth. Embrace the era of data-driven success and seize opportunities that others overlook. Get your copy of "DATA-DRIVEN DECISION MAKING: Leveraging Analytics for Smarter Business Choices" today and unlock a world of possibilities in the data-driven era. Empower yourself with the knowledge, skills, and confidence to make data-driven decisions that propel your business to new heights.

Data Analytics for Organisational Development

Author : Uwe H. Kaufmann
Publisher : John Wiley & Sons
Page : 372 pages
File Size : 40,48 MB
Release : 2021-07-27
Category : Computers
ISBN : 1119758378

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A practical guide for anyone who aspires to become data analytics–savvy Data analytics has become central to the operation of most businesses, making it an increasingly necessary skill for every manager and for all functions across an organisation. Data Analytics for Organisational Development: Unleashing the Potential of Your Data introduces a methodical process for gathering, screening, transforming, and analysing the correct datasets to ensure that they are reliable tools for business decision-making. Written by a Six Sigma Master Black Belt and a Lean Six Sigma Black Belt, this accessible guide explains and illustrates the application of data analytics for organizational development and design, with particular focus on Customer and Strategy Analytics, Operations Analytics and Workforce Analytics. Designed as both a handbook and workbook, Data Analytics for Organisational Development presents the application of data analytics for organizational design and development using case studies and practical examples. It aims to help build a bridge between data scientists, who have less exposure to actual business issues, and the "non-data scientists." With this guide, anyone can learn to perform data analytics tasks from translating a business question into a data science hypothesis to understanding the data science results and making the appropriate decisions. From data acquisition, cleaning, and transformation to analysis and decision making, this book covers it all. It also helps you avoid the pitfalls of unsound decision making, no matter where in the value chain you work. Follow the “Five Steps of a Data Analytics Case” to arrive at the correct business decision based on sound data analysis Become more proficient in effectively communicating and working with the data experts, even if you have no background in data science Learn from cases and practical examples that demonstrate a systematic method for gathering and processing data accurately Work through end-of-chapter exercises to review key concepts and apply methods using sample data sets Data Analytics for Organisational Development includes downloadable tools for learning enrichment, including spreadsheets, Power BI slides, datasets, R analysis steps and more. Regardless of your level in your organisation, this book will help you become savvy with data analytics, one of today’s top business tools.

Business Analytics

Author : U. Dinesh Kumar
Publisher :
Page : pages
File Size : 29,43 MB
Release : 2022
Category :
ISBN : 9789354246197

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Written with the aim of becoming the primary resource for students of business analytics, this book provides a holistic perspective of analytics with theoretical foundations and applications of the theory using examples across several industries.

Data Driven Decision Making

Author : Jeanne Poulose
Publisher : Palgrave Macmillan
Page : 0 pages
File Size : 37,80 MB
Release : 2024-07-13
Category : Business & Economics
ISBN : 9789819729012

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This book delves into contemporary business analytics techniques across sectors for critical decision-making. It combines data, mathematical and statistical models, and information technology to present alternatives for decision evaluation. Offering systematic mechanisms, it explores business contexts, factors, and relationships to foster competitiveness. Beyond managerial perspectives, it includes contributions from professionals, academics, and scholars worldwide, delivering comprehensive knowledge and skills through diverse viewpoints, cases, and applications of analytical tools. As an international business science reference, it targets professionals, academics, researchers, doctoral scholars, postgraduate students, and research organizations seeking a nuanced understanding of modern business analytics.

Decision Intelligence Analytics and the Implementation of Strategic Business Management

Author : P. Mary Jeyanthi
Publisher : Springer Nature
Page : 236 pages
File Size : 38,57 MB
Release : 2022-01-01
Category : Technology & Engineering
ISBN : 3030827631

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This book presents a framework for developing an analytics strategy that includes a range of activities, from problem definition and data collection to data warehousing, analysis, and decision making. The authors examine best practices in team analytics strategies such as player evaluation, game strategy, and training and performance. They also explore the way in which organizations can use analytics to drive additional revenue and operate more efficiently. The authors provide keys to building and organizing a decision intelligence analytics that delivers insights into all parts of an organization. The book examines the criteria and tools for evaluating and selecting decision intelligence analytics technologies and the applicability of strategies for fostering a culture that prioritizes data-driven decision making. Each chapter is carefully segmented to enable the reader to gain knowledge in business intelligence, decision making and artificial intelligence in a strategic management context.

Getting Started with Business Analytics

Author : David Roi Hardoon
Publisher : CRC Press
Page : 192 pages
File Size : 25,91 MB
Release : 2013-03-26
Category : Business & Economics
ISBN : 1439896534

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Assuming no prior knowledge or technical skills, Getting Started with Business Analytics: Insightful Decision-Making explores the contents, capabilities, and applications of business analytics. It bridges the worlds of business and statistics and describes business analytics from a non-commercial standpoint. The authors demystify the main concepts and terminologies and give many examples of real-world applications. The first part of the book introduces business data and recent technologies that have promoted fact-based decision-making. The authors look at how business intelligence differs from business analytics. They also discuss the main components of a business analytics application and the various requirements for integrating business with analytics. The second part presents the technologies underlying business analytics: data mining and data analytics. The book helps you understand the key concepts and ideas behind data mining and shows how data mining has expanded into data analytics when considering new types of data such as network and text data. The third part explores business analytics in depth, covering customer, social, and operational analytics. Each chapter in this part incorporates hands-on projects based on publicly available data. Helping you make sound decisions based on hard data, this self-contained guide provides an integrated framework for data mining in business analytics. It takes you on a journey through this data-rich world, showing you how to deploy business analytics solutions in your organization.