Real Time Business Intelligence and Analytics

Real Time Business Intelligence and Analytics

This volume reflects its new name “Real-Time Business Intelligence & Analytics
and includes extended versions of selected papers presented in the 2015 and
2016 editions: The 9th International Workshop on Business Intelligence for the ...

Author: Malu Castellanos

Publisher: Springer Nature

ISBN: 9783030241247

Category: Computers

Page: 230

View: 152

This book constitutes the thoroughly refereed conference proceedings of the BIRTE workshops listed below, which were held in in conjunction with VLDB, the International Conference on Very Large Data Bases: 9th International Workshop on Business Intelligence for the Real-Time Enterprise, BIRTE 2015, held in Kohala Coast, Hawaii, in August 2015, 10th International Workshop on Enabling Real-Time Business Intelligence, BIRTE 2016, held in New Delhi, India, in September 2016, 11th International Workshop on Real-Time Business Intelligence and Analytics, BIRTE 2017, held in Munich, Germany, in August 2017. The BIRTE workshop series provides a forum for the discussion and advancement of the science and engineering enabling real-time business intelligence and the novel applications that build on these foundational techniques. The book includes five selected papers from BIRTE 2015; five selected papers from BIRTE 2016; and three selected papers from BIRTE 2017.
Categories: Computers

BIRTE 2019

BIRTE 2019

Author:

Publisher:

ISBN: OCLC:1194955884

Category: Business intelligence

Page:

View: 174

Categories: Business intelligence

Enabling Real Time Business Intelligence

Enabling Real Time Business Intelligence

The afternoon session on “ETL and Query Processing in Real-Time BI” started
with the invited talk “On-Demand ETL ... The final session on “Challenges and
Advances in Analytics Platforms” was opened by the invited talk on the topic of
the ...

Author: Malu Castellanos

Publisher: Springer

ISBN: 9783642398728

Category: Computers

Page: 145

View: 490

This book constitutes the thoroughly refereed conference proceedings of the 6th International Workshop on Business Intelligence for the Real-Time Enterprise, BIRTE 2012, held in Istanbul, Turkey, in August 2012, in conjunction with VLDB 2012, the International Conference on Very Large Data Bases. The BIRTE workshop series provides a forum to discuss and advance the science and engineering enabling real-time business intelligence and the novel applications that build on these foundational techniques. This volume contains ten research papers, which were carefully reviewed and selected from 13 submissions.
Categories: Computers

Business Intelligence for the Real Time Enterprise

Business Intelligence for the Real Time Enterprise

Scalable Data-Intensive Analytics Meichun Hsu and Qiming Chen HP Labs Palo
Alto, California, USA Hewlett Packard Co. ... and analytics to offer operational
business intelligence, which expands business intelligence into real-time
adaptive ...

Author: Malu Castellanos

Publisher: Springer Science & Business Media

ISBN: 9783642034220

Category: Computers

Page: 123

View: 392

In todayís competitive and highly dynamic environment, analyzing data to understand how the business is performing, to predict outcomes and trends, and to improve the effectiveness of business processes underlying business operations has become cri- cal. The traditional approach to reporting is no longer adequate, users now demand easy-to-use intelligent platforms and applications capable of analyzing real-time bu- ness data to provide insight and actionable information at the right time. The end goal is to improve the enterprise performance by better and timelier decision making, - abled by the availability of up-to-date, high-quality information. As a response, the notion of "real-time enterprise" has emerged and is beginning to be recognized in the industry. Gartner defines it as “using up-to-date information, getting rid of delays, and using speed for competitive advantage is what the real-time enterprise is all about. . . Indeed, the goal of the real-time enterprise is to act on events as they happen. ” Although there has been progress in this direction and many com- nies are introducing products toward making this vision a reality, there is still a long way to go. In particular, the whole lifecycle of business intelligence requires new techniques and methodologies capable of dealing with the new requirements imposed by the real-time enterprise.
Categories: Computers

Progressive Methods in Data Warehousing and Business Intelligence Concepts and Competitive Analytics

Progressive Methods in Data Warehousing and Business Intelligence  Concepts and Competitive Analytics

Concepts and Competitive Analytics Taniar, David. McDaniel, T. (2001) ...
Process data store: A real-time data store for monitoring business processes.
Lecture ... BAM: Event-driven business intelligence for the real-time enterprise.
DM Review ...

Author: Taniar, David

Publisher: IGI Global

ISBN: 9781605662336

Category: Computers

Page: 390

View: 157

Provides developments and research, as well as current innovative activities in data warehousing and mining, focusing on the intersection of data warehousing and business intelligence.
Categories: Computers

Business Analytics for Managers

Business Analytics for Managers

This book exemplifies this development and shows the latest tools and advances in this field Business Analytics for Managers offers real-world guidance for organizations looking to leverage their data into a competitive advantage.

Author: Gert H. N. Laursen

Publisher: John Wiley & Sons

ISBN: 9781119298588

Category: Business & Economics

Page: 288

View: 414

The intensified used of data based on analytical models to control digitalized operational business processes in an intelligent way is a game changer that continuously disrupts more and more markets. This book exemplifies this development and shows the latest tools and advances in this field Business Analytics for Managers offers real-world guidance for organizations looking to leverage their data into a competitive advantage. This new second edition covers the advances that have revolutionized the field since the first edition's release; big data and real-time digitalized decision making have become major components of any analytics strategy, and new technologies are allowing businesses to gain even more insight from the ever-increasing influx of data. New terms, theories, and technologies are explained and discussed in terms of practical benefit, and the emphasis on forward thinking over historical data describes how analytics can drive better business planning. Coverage includes data warehousing, big data, social media, security, cloud technologies, and future trends, with expert insight on the practical aspects of the current state of the field. Analytics helps businesses move forward. Extensive use of statistical and quantitative analysis alongside explanatory and predictive modeling facilitates fact-based decision making, and evolving technologies continue to streamline every step of the process. This book provides an essential update, and describes how today's tools make business analytics more valuable than ever. Learn how Hadoop can upgrade your data processing and storage Discover the many uses for social media data in analysis and communication Get up to speed on the latest in cloud technologies, data security, and more Prepare for emerging technologies and the future of business analytics Most businesses are caught in a massive, non-stop stream of data. It can become one of your most valuable assets, or a never-ending flood of missed opportunity. Technology moves fast, and keeping up with the cutting edge is crucial for wringing even more value from your data—Business Analytics for Managers brings you up to date, and shows you what analytics can do for you now.
Categories: Business & Economics

Video Analytics for Business Intelligence

Video Analytics for Business Intelligence

In an airport, there is an urgent need for real-time measuring of congestion and
queuing length in the departure security ... Compared to security oriented visual
surveillance, business intelligence driven video analysis applications have ...

Author: Caifeng Shan

Publisher: Springer

ISBN: 9783642285981

Category: Computers

Page: 375

View: 482

Closed Circuit TeleVision (CCTV) cameras have been increasingly deployed pervasively in public spaces including retail centres and shopping malls. Intelligent video analytics aims to automatically analyze content of massive amount of public space video data and has been one of the most active areas of computer vision research in the last two decades. Current focus of video analytics research has been largely on detecting alarm events and abnormal behaviours for public safety and security applications. However, increasingly CCTV installations have also been exploited for gathering and analyzing business intelligence information, in order to enhance marketing and operational efficiency. For example, in retail environments, surveillance cameras can be utilised to collect statistical information about shopping behaviour and preference for marketing (e.g., how many people entered a shop; how many females/males or which age groups of people showed interests to a particular product; how long did they stay in the shop; and what are the frequent paths), and to measure operational efficiency for improving customer experience. Video analytics has the enormous potential for non-security oriented commercial applications. This book presents the latest developments on video analytics for business intelligence applications. It provides both academic and commercial practitioners an understanding of the state-of-the-art and a resource for potential applications and successful practice.
Categories: Computers

Open Source Data Warehousing and Business Intelligence

Open Source Data Warehousing and Business Intelligence

Real-time BI frameworks help enable bypass the enterprise data warehouse to
access direct-from-OLTP data in a single-click as it is being created or updated.
Predictive analytics and feedback-oriented autogenerated business rules can be
 ...

Author: Lakshman Bulusu

Publisher: CRC Press

ISBN: 9781466578760

Category: Computers

Page: 432

View: 379

Open Source Data Warehousing and Business Intelligence is an all-in-one reference for developing open source based data warehousing (DW) and business intelligence (BI) solutions that are business-centric, cross-customer viable, cross-functional, cross-technology based, and enterprise-wide. Considering the entire lifecycle of an open source DW &
Categories: Computers

IBM Cognos Business Intelligence V10 1 Intelligence Unleashed

IBM Cognos Business Intelligence V10 1  Intelligence Unleashed

It is revolutionary because it expands traditional BI capabilities with planning,
scenario modeling, real-time monitoring, and predictive analytics. These
capabilities deliver power in an easy-to-use and unified experience that is
collaboration ...

Author: Dean Browne

Publisher: IBM Redbooks

ISBN: 9780738450001

Category: Computers

Page: 26

View: 250

Organizations are pressured constantly to understand and react quickly to information. In addition, the complexity and volumes of data for all aspects of the environments in which organizations operate is increasing. Markets, regulatory environments, customer and supplier data, competitive information, and internal operational information all impact how data is viewed and interpreted. With a capable and efficient business intelligence (BI) solution, all levels of an organization can receive information how, when, and where they need it to make faster and better aligned decisions. Every user can have access to all the capabilities of the BI solution, and often organizations can determine a user's business need to access information using typical characteristics that are defined by that user's role. Many organizations often satisfy this complexity and these diverse demands with a number of point solutions. With IBM® Cognos® Business Intelligence (BI), you can satisfy needs throughout the user community and ensure that everyone can work and collaborate from a consistent set of data. In addition, IT is simplified with fewer components to deploy, manage, and maintain. Organizations need to make the most of a workforce that is increasingly driven to multi-task, network, and collaborate. IBM Cognos BI delivers analytics that everyone in the organization can use to answer key business questions. This IBM RedguideTM publication highlights features of IBM Cognos BI version 10.1.
Categories: Computers

Service Chain Management

Service Chain Management

Analytics. and. Real-Time. Business. Intelligence. 14.1. Introduction. Customers
should be at the heart of any business. In order to improve processes with
customer interaction, businesses have introduced customer relationship
management ...

Author: Christos Voudouris

Publisher: Springer Science & Business Media

ISBN: 3540755047

Category: Business & Economics

Page: 308

View: 706

Service chain management enables service organisations to improve customer satisfaction and reduce operational costs. In this book, Christos Voudouris and his BT colleagues together with experts from industry and academia present the latest innovations and technologies used to manage the operations of a service company. The viewpoints presented are based on the BT experience and on associated research and development. Service chain management is looked at both from the enterprise perspective and from the standpoints of the service professional and customer. The focus is on real-world challenges.
Categories: Business & Economics

Analytics and Big Data The Davenport Collection 6 Items

Analytics and Big Data  The Davenport Collection  6 Items

It's possible that things could accelerate at a faster rate than we predict if the
world discovers analytical competition. In the past thirty or so years, however,
actual advances in the use of business intelligence, decision support, or
whatever the au courant term has been, have been relatively ... It might also be
called real-time business intelligence, since most automated decisions are made
immediately.

Author: Thomas H. Davenport

Publisher: Harvard Business Review Press

ISBN: 9781625277749

Category: Business & Economics

Page: 961

View: 730

The Analytics and Big Data collection offers a “greatest hits” digital compilation of ideas from world-renowned thought leader Thomas Davenport, who helped popularize the terms analytics and big data in the workplace. An agile and prolific thinker, Davenport has written or coauthored more than a dozen bestselling books. Several of these titles are offered together for the first time in this curated digital bundle, including: Big Data at Work, Competing on Analytics, Analytics at Work, and Keeping Up with the Quants. The collection also includes Davenport’s popular Harvard Business Review articles, “Data Scientist: The Sexiest Job of the 21st Century” (2012) and “Analytics 3.0” (2013). Combined, these works cover all the bases on analytics and big data: what each term means; the ramifications of each from a technical, consumer, and management perspective; and where each can have the biggest impact on your business. Whether you’re an executive, a manager, or a student wanting to learn more, Analytics and Big Data is the most comprehensive collection you’ll find on the ever-growing phenomenon of digital data and analysis—and how you can make this rising business trend work for you. Named one of the ten “Masters of the New Economy” by CIO magazine, Thomas Davenport has helped hundreds of companies revitalize their management practices. He combines his interests in research, teaching, and business management as the President’s Distinguished Professor of Information Technology & Management at Babson College. Davenport has also taught at Harvard Business School, the University of Chicago, Dartmouth’s Tuck School of Business, and the University of Texas at Austin and has directed research centers at Accenture, McKinsey & Company, Ernst & Young, and CSC. He is also an independent Senior Advisor to Deloitte Analytics.
Categories: Business & Economics

Data Virtualization for Business Intelligence Systems

Data Virtualization for Business Intelligence Systems

The classic data warehouse and business intelligence architecture relies on a
repository of quality, integrated data at its core. ... integrated data into a database,
creating a physical data warehouse, or “single source of data,” for reporting and
analytics. ... Historical data can also be used for predicting what will happen, but
it does not fully support real-time decisioning or operational business intelligence
.

Author: Rick van der Lans

Publisher: Elsevier

ISBN: 9780123978172

Category: Computers

Page: 296

View: 957

Data virtualization can help you accomplish your goals with more flexibility and agility. Learn what it is and how and why it should be used with Data Virtualization for Business Intelligence Systems. In this book, expert author Rick van der Lans explains how data virtualization servers work, what techniques to use to optimize access to various data sources and how these products can be applied in different projects. You’ll learn the difference is between this new form of data integration and older forms, such as ETL and replication, and gain a clear understanding of how data virtualization really works. Data Virtualization for Business Intelligence Systems outlines the advantages and disadvantages of data virtualization and illustrates how data virtualization should be applied in data warehouse environments. You’ll come away with a comprehensive understanding of how data virtualization will make data warehouse environments more flexible and how it make developing operational BI applications easier. Van der Lans also describes the relationship between data virtualization and related topics, such as master data management, governance, and information management, so you come away with a big-picture understanding as well as all the practical know-how you need to virtualize your data. First independent book on data virtualization that explains in a product-independent way how data virtualization technology works. Illustrates concepts using examples developed with commercially available products. Shows you how to solve common data integration challenges such as data quality, system interference, and overall performance by following practical guidelines on using data virtualization. Apply data virtualization right away with three chapters full of practical implementation guidance. Understand the big picture of data virtualization and its relationship with data governance and information management.
Categories: Computers

Business Intelligence

Business Intelligence

Specifically, we discussed data mining and business analytics and how they
enable real-time decision support. The results of insight creation capability,
whether they are intended to facilitate real-time decision making or learning,
need to be ...

Author: Rajiv Sabherwal

Publisher: John Wiley & Sons

ISBN: 9780470461709

Category: Business & Economics

Page: 295

View: 410

Business professionals who want to advance their careers need to have a strong understanding of how to utilize business intelligence. This new book provides a comprehensive introduction to the basic business and technical concepts they’ll need to know. It integrates case studies that demonstrate how to apply the material. Business professionals will also find suggested further readings that will develop their knowledge and help them succeed.
Categories: Business & Economics

The Real Time Contact Center

The Real Time Contact Center

Real-Time. Analytics. Conquering. the. Unstructured. Data. Challenge. C. ontact
centers waste 90 to 98 percent of ... Internet because existing data warehousing,
business intelligence, and analytics systems understand only “structured” data.

Author: Donna FLUSS

Publisher: AMACOM

ISBN: 9780814429082

Category: Business & Economics

Page: 208

View: 539

Companies looking for a competitive edge must convert their reactive, cost-laden contact programs into proactive, revenue-generating, "real-time" contact centres. Real-time is a big "buzzword" in the customer service field right now, and this book offers real, practical strategies for turning the call centre into a real-time operation that generates profits. These centres provide an outstanding customer experience, enhance loyalty, create new revenue, reduce expenses, and streamline the flow of information between the center and the rest of the company. "The Real-Time Contact Center" shows how to implement one.
Categories: Business & Economics

Business Intelligence

Business Intelligence

Expectations for both real-time operational geographic data services and
corresponding spatial analytics means that the services cannot be totally
embedded within a standalone environment. Alternatively, there is a need to
encapsulate these ...

Author: David Loshin

Publisher: Newnes

ISBN: 9780123858894

Category: Computers

Page: 370

View: 762

Following the footsteps of the first edition, the second edition of Business Intelligence is a full overview of what comprises business intelligence. It is intended to provide an introduction to the concepts to uncomplicate the learning process when implementing a business intelligence program. Over a relatively long lifetime (7 years), the current edition of book has received numerous accolades from across the industry for its straightforward introduction to both business and technical aspects of business intelligence. As an author, David Loshin has a distinct ability to translate challenging topics into a framework that is easily digestible by managers, business analysts, and technologists alike. In addition, his material has developed a following (such as the recent Master Data Management book) among practitioners and key figures in the industry (both analysts and vendors) and that magnifies our ability to convey the value of this book. Guides managers through developing, administering, or simply understanding business intelligence technology Keeps pace with the changes in best practices, tools, methods and processes used to transform an organization's data into actionable knowledge Contains a handy, quick-reference to technologies and terminology.
Categories: Computers

Information Tech For Mgmt

Information Tech For Mgmt

How do you get to the right business decision, improve employee accountability,
track performance of the product and ... BI emerging as the next frontier in
business analytics, it is also in turn driving the key movement towards real time BI
.

Author: Behl

Publisher: Tata McGraw-Hill Education

ISBN: 0070144923

Category: Management information systems

Page: 559

View: 197

Categories: Management information systems

Real Time Analytics

Real Time Analytics

The high-availability requirement for the entire system is probably the key
difference between the real-time streaming application and the more common
batch-processing or business-intelligence application. If these systems become ...

Author: Byron Ellis

Publisher: John Wiley & Sons

ISBN: 9781118837917

Category: Computers

Page: 432

View: 837

Data expert Byron Ellis teaches data analysts new technologies to build an effective real-time analytics platform. The book leverages open source and modern commercial tools to show readers how to construct robust, efficient systems that provide real-time analysis in a cost effective manner.
Categories: Computers

Oracle Business Intelligence Applications

Oracle Business Intelligence Applications

Overthe past 15 years he has worked exclusively in the BI Technology,
Architecture, and Analytics space across North ... on building real-time analytic
solutions for Oracle Fusion Applications called Oracle Transactional Business
Intelligence.

Author: Simon Miller

Publisher: McGraw Hill Professional

ISBN: 9780071804158

Category: Computers

Page: 432

View: 167

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
Categories: Computers

Business Intelligence

Business Intelligence

REAL - TIME BI Business users are increasingly demanding access to real - time
, unstructured , or remote data ... for real - time analysis and real - time decision
making is growing rapidly ( see “ The 2003 CIO Insight Business Intelligence ...

Author: Efraim Turban

Publisher: Prentice Hall

ISBN: IND:30000111039321

Category: Business & Economics

Page: 233

View: 282

The field of business intelligence is evolving and quickly becoming a shared commodity by managers, analysts, and top executives across organizations. Business Intelligence: A Managerial Approach introduces the reader to the most current technologies found in today's business world and presents the fundamental techniques, construction, and usage of BI systems.
Categories: Business & Economics