Business Intelligence An Overview
DOWNLOAD
Download Business Intelligence An Overview PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Business Intelligence An Overview book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Business Intelligence An Overview
DOWNLOAD
Author : Vinaitheerthan Renganathan
language : en
Publisher: Vinaitheerthan Renganathan
Release Date : 2021-03-18
Business Intelligence An Overview written by Vinaitheerthan Renganathan and has been published by Vinaitheerthan Renganathan this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-18 with Business & Economics categories.
Business organizations develop strategies and set targets which focus on maximizing profit, reduce cost, improving customer satisfaction & retention and operational performance. In order to achieve the set targets, organizations need to continuously monitor status of organizational performance. Organizations need to collect, store, organize, transform the data to know the current status of set targets. Business Intelligence tools help the organizations to draw meaningful and actionable insights from the raw data in achieving the set targets. Business Intelligence tools help the organizations to answer questions such as where the organization stands in terms of profitability, growth status, brand & market position and market segment. Business intelligence tools focuses mainly on the past or current data and try to explore the hidden insight from the data. Business intelligence tools include querying, reporting, online analytics and data visualization tools which help the business decision makers to arrive at informed decision about the impact and status of their strategies. This book starts with the introduction of business intelligence concepts, components of business intelligence system, business intelligence tools used for querying, reporting and visualization of data. It provides an overview of the data visualization and data mining methods like classification, clustering and regression methods using R open source software. Book also covers some of the basic descriptive and inferential statistical tools. It focuses on both managerial side and technological side of BI. Vinaitheerthan Renganathan www.vinatheerthan.com/book.php
Business Intelligence And Analytics
DOWNLOAD
Author : Ramesh Sharda
language : en
Publisher: Pearson
Release Date : 2014-02-28
Business Intelligence And Analytics written by Ramesh Sharda and has been published by Pearson this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-28 with Business intelligence categories.
Decision Support and Business Intelligence Systems provides the only comprehensive, up-to-date guide to today's revolutionary management support system technologies, and showcases how they can be used for better decision-making. The 10th edition focuses on Business Intelligence (BI) and analytics for enterprise decision support in a more streamlined book.
Fundamentals Of Business Intelligence
DOWNLOAD
Author : Wilfried Grossmann
language : en
Publisher: Springer
Release Date : 2015-06-02
Fundamentals Of Business Intelligence written by Wilfried Grossmann and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-02 with Computers categories.
This book presents a comprehensive and systematic introduction to transforming process-oriented data into information about the underlying business process, which is essential for all kinds of decision-making. To that end, the authors develop step-by-step models and analytical tools for obtaining high-quality data structured in such a way that complex analytical tools can be applied. The main emphasis is on process mining and data mining techniques and the combination of these methods for process-oriented data. After a general introduction to the business intelligence (BI) process and its constituent tasks in chapter 1, chapter 2 discusses different approaches to modeling in BI applications. Chapter 3 is an overview and provides details of data provisioning, including a section on big data. Chapter 4 tackles data description, visualization, and reporting. Chapter 5 introduces data mining techniques for cross-sectional data. Different techniques for the analysis of temporal data are then detailed in Chapter 6. Subsequently, chapter 7 explains techniques for the analysis of process data, followed by the introduction of analysis techniques for multiple BI perspectives in chapter 8. The book closes with a summary and discussion in chapter 9. Throughout the book, (mostly open source) tools are recommended, described and applied; a more detailed survey on tools can be found in the appendix, and a detailed code for the solutions together with instructions on how to install the software used can be found on the accompanying website. Also, all concepts presented are illustrated and selected examples and exercises are provided. The book is suitable for graduate students in computer science, and the dedicated website with examples and solutions makes the book ideal as a textbook for a first course in business intelligence in computer science or business information systems. Additionally, practitioners and industrial developers who are interested in the concepts behind business intelligence will benefit from the clear explanations and many examples.
The Data Warehouse Mentor Practical Data Warehouse And Business Intelligence Insights
DOWNLOAD
Author : Robert Laberge
language : en
Publisher: McGraw Hill Professional
Release Date : 2011-05-12
The Data Warehouse Mentor Practical Data Warehouse And Business Intelligence Insights written by Robert Laberge and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-12 with Computers categories.
Develop a custom, agile data warehousing and business intelligence architecture Empower your users and drive better decision making across your enterprise with detailed instructions and best practices from an expert developer and trainer. The Data Warehouse Mentor: Practical Data Warehouse and Business Intelligence Insights shows how to plan, design, construct, and administer an integrated end-to-end DW/BI solution. Learn how to choose appropriate components, build an enterprise data model, configure data marts and data warehouses, establish data flow, and mitigate risk. Change management, data governance, and security are also covered in this comprehensive guide. Understand the components of BI and data warehouse systems Establish project goals and implement an effective deployment plan Build accurate logical and physical enterprise data models Gain insight into your company's transactions with data mining Input, cleanse, and normalize data using ETL (Extract, Transform, and Load) techniques Use structured input files to define data requirements Employ top-down, bottom-up, and hybrid design methodologies Handle security and optimize performance using data governance tools Robert Laberge is the founder of several Internet ventures and a principle consultant for the IBM Industry Models and Assets Lab, which has a focus on data warehousing and business intelligence solutions.
Business Analytics
DOWNLOAD
Author : Prof. Dr. R Gopal, Dr. Priya Vij, Dr. Adveta Gharat, Dr. Alpha Lokhande
language : en
Publisher: Notion Press
Release Date : 2024-04-11
Business Analytics written by Prof. Dr. R Gopal, Dr. Priya Vij, Dr. Adveta Gharat, Dr. Alpha Lokhande and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-11 with Business & Economics categories.
In the dynamic realm of business, the effective utilization of data has become indispensable for achieving success. "Business Analytics - An Overview" offers a thorough exploration of the domain of data-driven decision-making and its transformative impact on contemporary enterprises. This book serves as a guiding resource for professionals, students, and enthusiasts seeking to comprehend the intricate landscape of business analytics. The book covers foundational concepts in business intelligence, core principles of business analytics, the role of digital data in decision-making, the infrastructure supporting analytics through data warehousing, the art and science of data mining, the significance of visual analytics and reporting, challenges and opportunities in big data analytics, and practical applications of analytics across various industries. Each chapter contributes to a holistic understanding of the dynamic intersection of data and business, equipping readers with the knowledge and skills to navigate this intricate tapestry. Embark on a journey through the world of business analytics, where each section unfolds a new layer of insight, providing valuable tools for comprehending and thriving in the data-driven business landscape.
Business Intelligence
DOWNLOAD
Author : Richard Hurley
language : en
Publisher:
Release Date : 2020-01-13
Business Intelligence written by Richard Hurley and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-13 with categories.
If you want to learn about business intelligence and predictive analytics, then keep reading... Two manuscripts in one book: Business Intelligence: An Essential Beginner's Guide to BI, Big Data, Artificial Intelligence, Cybersecurity, Machine Learning, Data Science, Data Analytics, Social Media and Internet Marketing Predictive Analytics: The Secret to Predicting Future Events Using Big Data and Data Science Techniques Such as Data Mining, Predictive Modelling, Statistics, Data Analysis, and Machine Learning In the modern business world, the pace of action continues to quicken. Businesses need to be able to get actionable insights from their data in order to make the right decisions to act rapidly and effectively. In this book, you will be introduced to the concept of business intelligence. Business intelligence is closely connected to data, and so as part of our journey, we are going to see how modern companies are using big data, together with artificial intelligence, machine learning, and pattern recognition in order to build systems of data-driven decision making. After we get a handle on what business intelligence is, we will learn how it ties together with the next computer revolution (happening right before our eyes). We will discuss the use of artificial intelligence, machine learning, and pattern recognition to retrieve insights from the large amounts of data that companies are routinely collecting, storing, and using. We will also explore the roles that social media and internet marketing are playing in the growth of business intelligence, and how companies like Facebook are helping other companies act on data in powerful ways. Some of the topics covered in part 1 of this book include: An Introduction to BI, Big Data, AI, and More An Overview of Business Intelligence BI and AI BI and Big Data BI And Machine Learning Data Science Cybersecurity BI and Data Mining BI and Social Media BI and Internet Marketing And much much more! Some of the topics covered in part 2 of this book include: The basics of predictive analysis. How to predict events that are going to happen in the future with big data and data mining. How to predict events that are going to happen in the future with the help of data analysis and statistics. A look at machine learning and how this process can help make predictions. How to avoid prediction traps, avoid bias, and make the best decisions with this analysis. Some of the top reasons to implement this kind of analysis in your business. The steps you can take to create your own predictive analysis model. And much, much more! So if you want to learn more about business intelligence and predictive analytics, click the "add to cart" button!
Oracle Business Intelligence Applications Deliver Value Through Rapid Implementations
DOWNLOAD
Author : Simon Miller
language : en
Publisher: McGraw Hill Professional
Release Date : 2013-07-05
Oracle Business Intelligence Applications Deliver Value Through Rapid Implementations written by Simon Miller and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07-05 with Computers categories.
Implement Oracle Business Intelligence Applications Provide actionable business intelligence across the enterprise to enable informed decision-making and streamlined business processes. Oracle Business Intelligence Applications: Deliver Value Through Rapid Implementations shows how to justify, configure, customize, and extend this complete package of BI solutions. You'll get a technical walkthrough of Oracle Business Intelligence Applications architecture--from the dashboard to the data source--followed by best practices for maximizing the powerful features of each application. You will also find out about stakeholders critical to project approval and success. Optimize performance using Oracle Exalytics In-Memory Machine Deliver timely financial information to managers with Oracle Financial Analytics Enable a streamlined, demand-driven supply chain via Oracle Supply Chain and Order Management Analytics Provide end-to-end visibility into manufacturing operations with Oracle Manufacturing Analytics Optimize supply-side performance through Oracle Procurement and Spend Analytics Use Oracle Human Resources Analytics to provide key workforce information to managers and HR professionals Track the costs and labor required to maintain and operate assets with Oracle Enterprise Asset Management Analytics Maintain visibility into project performance via Oracle Project Analytics Provide actionable insight into sales opportunities using Oracle Sales Analytics Enable superior customer service with Oracle Service Analytics
Perspectives On Business Intelligence
DOWNLOAD
Author : Raymond T. Ng
language : en
Publisher: Springer Nature
Release Date : 2022-05-31
Perspectives On Business Intelligence written by Raymond T. Ng and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Computers categories.
In the 1980s, traditional Business Intelligence (BI) systems focused on the delivery of reports that describe the state of business activities in the past, such as for questions like "How did our sales perform during the last quarter?" A decade later, there was a shift to more interactive content that presented how the business was performing at the present time, answering questions like "How are we doing right now?" Today the focus of BI users are looking into the future. "Given what I did before and how I am currently doing this quarter, how will I do next quarter?" Furthermore, fuelled by the demands of Big Data, BI systems are going through a time of incredible change. Predictive analytics, high volume data, unstructured data, social data, mobile, consumable analytics, and data visualization are all examples of demands and capabilities that have become critical within just the past few years, and are growing at an unprecedented pace. This book introduces research problems and solutions on various aspects central to next-generation BI systems. It begins with a chapter on an industry perspective on how BI has evolved, and discusses how game-changing trends have drastically reshaped the landscape of BI. One of the game changers is the shift toward the consumerization of BI tools. As a result, for BI tools to be successfully used by business users (rather than IT departments), the tools need a business model, rather than a data model. One chapter of the book surveys four different types of business modeling. However, even with the existence of a business model for users to express queries, the data that can meet the needs are still captured within a data model. The next chapter on vivification addresses the problem of closing the gap, which is often significant, between the business and the data models. Moreover, Big Data forces BI systems to integrate and consolidate multiple, and often wildly different, data sources. One chapter gives an overview of several integration architectures for dealing with the challenges that need to be overcome. While the book so far focuses on the usual structured relational data, the remaining chapters turn to unstructured data, an ever-increasing and important component of Big Data. One chapter on information extraction describes methods for dealing with the extraction of relations from free text and the web. Finally, BI users need tools to visualize and interpret new and complex types of information in a way that is compelling, intuitive, but accurate. The last chapter gives an overview of information visualization for decision support and text.
Introduction To Business Intelligence
DOWNLOAD
Author : Jörg Hartenauer
language : en
Publisher: VDM Publishing
Release Date : 2007
Introduction To Business Intelligence written by Jörg Hartenauer and has been published by VDM Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Business & Economics categories.
During the past few years, fast changes in the economic environment and massive technological developments in the field of information technology have constituted challenges for many companies. The growing capabilities to collect and store loads of internal and external data make it more and more difficult for a business's management to find the really important pieces of information. This situation of information overload is tackeled by a variety of analytic concepts and tools which can be subsumed under the opalescent term of "Business Intelligence." This book introduces these different concepts and then presents the most important tools such as data warehouses and data marts, online analytical processing, data mining, and reporting. The book aims at a not information technology focussed kind of presentation and evaluates the relevance of the tools introduced for companies' daily operations. Therefore it adresses economists and managers (even of small and medium enterprises) who want to get a guided overview of the field of Business Intelligence as well as students of business administrations and of business information systems.
An Introduction To Online Competitive Intelligence Research
DOWNLOAD
Author : Conor Vibert
language : en
Publisher: Cengage Learning
Release Date : 2004
An Introduction To Online Competitive Intelligence Research written by Conor Vibert and has been published by Cengage Learning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Business & Economics categories.
Introduction to Online Competitive Intelligence Research gives you the tools you need to stay ahead of your competitor's moves. Numerous research problem scenarios and cases with suggested search strategies are included. Step-by-step methodology takes you through the CI research process, including planning and direction, data collection, analysis and dissemination. One section provides insight into how your firm might protect itself from the unwanted CI efforts of competitors. Like all the titles in the Business Research Series, this book contains a number of business research applications that can be used for both in-house research training and reference. Internet research can be quick, easy, and effective, but also challenging. The Business Research Solutions Series provides business and financial research reference guides and online training manuals to bridge a major gap in the field of online research methodology. These invaluable tools provide step-by-step advice on how to analyze, interpret, and collect data for informed decision-making.