Analytics Across The Enterprise

Author : Brenda L. Dietrich,Emily C. Plachy,Maureen F. Norton
Publisher : IBM Press
Page : 223 pages
File Size : 53,5 Mb
Release : 2014-05-15
Category : Business & Economics
ISBN : 9780133835885

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Analytics Across the Enterprise by Brenda L. Dietrich,Emily C. Plachy,Maureen F. Norton Pdf

How to Transform Your Organization with Analytics: Insider Lessons from IBM’s Pioneering Experience Analytics is not just a technology: It is a better way to do business. Using analytics, you can systematically inform human judgment with data-driven insight. This doesn’t just improve decision-making: It also enables greater innovation and creativity in support of strategy. Your transformation won’t happen overnight; however, it is absolutely achievable, and the rewards are immense. This book demystifies your analytics journey by showing you how IBM has successfully leveraged analytics across the enterprise, worldwide. Three of IBM’s pioneering analytics practitioners share invaluable real-world perspectives on what does and doesn’t work and how you can start or accelerate your own transformation. This book provides an essential framework for becoming a smarter enterprise and shows through 31 case studies how IBM has derived value from analytics throughout its business. Coverage Includes Creating a smarter workforce through big data and analytics More effectively optimizing supply chain processes Systematically improving financial forecasting Managing financial risk, increasing operational efficiency, and creating business value Reaching more B2B or B2C customers and deepening their engagement Optimizing manufacturing and product management processes Deploying your sales organization to increase revenue and effectiveness Achieving new levels of excellence in services delivery and reducing risk Transforming IT to enable wider use of analytics “Measuring the immeasurable” and filling gaps in imperfect data Whatever your industry or role, whether a current or future leader, analytics can make you smarter and more competitive. Analytics Across the Enterprise shows how IBM did it--and how you can, too. Learn more about IBM Analytics

Author : Thomas H. Davenport
Publisher : FT Press
Page : 287 pages
File Size : 50,5 Mb
Release : 2012-09-13
Category : Business & Economics
ISBN : 9780133039467

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Enterprise Analytics by Thomas H. Davenport Pdf

Normal 0 false false false MicrosoftInternetExplorer4 The Definitive Guide to Enterprise-Level Analytics Strategy, Technology, Implementation, and Management Organizations are capturing exponentially larger amounts of data than ever, and now they have to figure out what to do with it. Using analytics, you can harness this data, discover hidden patterns, and use this knowledge to act meaningfully for competitive advantage. Suddenly, you can go beyond understanding “how, when, and where” events have occurred, to understand why – and use this knowledge to reshape the future. Now, analytics pioneer Tom Davenport and the world-renowned experts at the International Institute for Analytics (IIA) have brought together the latest techniques, best practices, and research on analytics in a single primer for maximizing the value of enterprise data. Enterprise Analytics is today’s definitive guide to analytics strategy, planning, organization, implementation, and usage. It covers everything from building better analytics organizations to gathering data; implementing predictive analytics to linking analysis with organizational performance. The authors offer specific insights for optimizing supply chains, online services, marketing, fraud detection, and many other business functions. They support their powerful techniques with many real-world examples, including chapter-length case studies from healthcare, retail, and financial services. Enterprise Analytics will be an invaluable resource for every business and technical professional who wants to make better data-driven decisions: operations, supply chain, and product managers; product, financial, and marketing analysts; CIOs and other IT leaders; data, web, and data warehouse specialists, and many others.

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 48,9 Mb
Release : 2013
Category : Business planning
ISBN : 0133039498

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Enterprise Analytics by Anonim Pdf

Author : Oliver Ratzesberger,Mohanbir Sawhney
Publisher : John Wiley & Sons
Page : 176 pages
File Size : 42,8 Mb
Release : 2017-10-16
Category : Business & Economics
ISBN : 9781119438861

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The Sentient Enterprise by Oliver Ratzesberger,Mohanbir Sawhney Pdf

Mohan and Oliver have been very fortunate to have intimate views into the data challenges that face the largest organizations and institutions across every possible industry—and what they have been hearing about for some time is how the business needs to use data and analytics to their advantage. They continually hear the same issues, such as: We're spending valuable meeting time wondering why everyone's data doesn't match up. We can't leverage our economies of scale while remaining agile with data. We need self-serve apps that let the enterprise experiment with data and accelerate the development process. We need to get on a more predictive curve to ensure long-term success. To really address the data concerns of today's enterprise, they wanted to find a way to help enterprises achieve the success they seek. Not as a prescriptive process—but a methodology to become agile and leverage data and analytics to drive a competitive advantage. You know, it's amazing what can happen when two people with very different perspectives get together to solve a big problem. This evolutionary guide resulted from the a-ha moment between these two influencers at the top of their fields—one, an academic researcher and consultant, and the other, a longtime analytics practitioner and chief product officer at Teradata. Together, they created a powerful framework every type of business can use to connect analytic power, business practices, and human dynamics in ways that can transform what is currently possible.

Author : Prakash Sah
Publisher : Springer Nature
Page : 186 pages
File Size : 46,7 Mb
Release : 2022-11-06
Category : Business & Economics
ISBN : 9789811957192

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Defining Enterprise Data and Analytics Strategy by Prakash Sah Pdf

This is the first of its kind book that describes key elements of enterprise data and analytics strategy, and prescribes a pragmatic approach to define the strategy for large enterprises. The book is based on successful digital transformation experience of multiple Fortune 500 and other large enterprises. It is estimated that more than 50% of data and analytics initiatives fail globally because of the inherent complexity of such initiatives. Some of the questions that enterprises struggle with are: How to define enterprise data and analytics strategy? What are the key elements that should be considered while doing so? Why one-size-fits-all approach does not work for all enterprises? How to align data and analytics initiative with the business strategy of the CEO? How to establish a futuristic technology and architecture foundation, given the exponential rate of innovation in data and analytics technologies? How to define the right data and analytics organization model? Why data and analytics organization and processes need to be different from other functions? How to manage organizational change to ensure success of data and analytics initiative? How to define a business value measurement framework and calculate ROI from data and analytics initiative? What are the key skills required in a data and analytics leader to wade through political and other challenges of a large enterprise? This book will help executives, chief digital/analytics officers, data and analytics professionals, and consultants, in answering the above questions. It will help them in addressing various dilemmas that they face every day and making their enterprises data-driven.

Author : Mike Biere
Publisher : Pearson Education
Page : 0 pages
File Size : 50,5 Mb
Release : 2011
Category : Business enterprises
ISBN : 0137075421

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The New Era of Enterprise Business Intelligence by Mike Biere Pdf

A Complete Blueprint for Maximizing the Value of Business Intelligence in the Enterprise The typical enterprise recognizes the immense potential of business intelligence (BI) and its impact upon many facets within the organization-but it's not easy to transform BI's potential into real business value. In The New Era of Enterprise Business Intelligence, top BI expert Mike Biere presents a complete blueprint for creating winning BI strategies and infrastructure, and systematically maximizing the value of information throughout the enterprise. This product-independent guide brings together start-to-finish guidance and practical checklists for every senior IT executive, planner, strategist, implementer, and the actual business users themselves. Drawing on thousands of hours working with enterprise customers, Biere helps decision-makers choose from today's unprecedented spectrum of options, including the latest BI platform suites and appliances. He offers practical, "in-the-trenches" insights on a wide spectrum of planning and implementation issues, from segmenting and supporting users to working with unstructured data. Coverage includes · Understanding the scope of today's BI solutions and how they fit into existing infrastructure · Assessing new options such as SaaS and cloud-based technologies · Avoiding technology biases and other "project killers" · Developing effective RFIs/RFPs and proofs of concept · Setting up competency centers and planning for skills development · Crafting a better experience for all your business users · Supporting the requirements of senior executives, including performance management · Cost-justifying BI solutions and measuring success · Working with enterprise content management, text analytics, and search · Planning and constructing portals, mashups, and other user interfaces · Previewing the future of BI

Author : Olivia Parr-Rud
Publisher : SAS Institute
Page : 182 pages
File Size : 51,5 Mb
Release : 2014-10
Category : Computers
ISBN : 9781629593272

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Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner by Olivia Parr-Rud Pdf

This tutorial for data analysts new to SAS Enterprise Guide and SAS Enterprise Miner provides valuable experience using powerful statistical software to complete the kinds of business analytics common to most industries. This beginnner's guide with clear, illustrated, step-by-step instructions will lead you through examples based on business case studies. You will formulate the business objective, manage the data, and perform analyses that you can use to optimize marketing, risk, and customer relationship management, as well as business processes and human resources. Topics include descriptive analysis, predictive modeling and analytics, customer segmentation, market analysis, share-of-wallet analysis, penetration analysis, and business intelligence. --

Author : David Loshin
Publisher : Elsevier
Page : 142 pages
File Size : 51,9 Mb
Release : 2013-08-23
Category : Computers
ISBN : 9780124186644

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Big Data Analytics by David Loshin Pdf

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 technologies and how they fit into the big data ecosystem

Author : Prashanth Southekal
Publisher : Technics Publications
Page : 208 pages
File Size : 52,7 Mb
Release : 2020-04-22
Category : Electronic
ISBN : 1634628276

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Analytics Best Practices by Prashanth Southekal Pdf

Deliver enterprise data analytics success by following Prashanth's prescriptive and practical techniques. Today, organizations across the globe are looking at ways to glean insights from data analytics and make good business decisions. However, not many business enterprises are successful in data analytics. According to Gartner, 80% of analytics programs do not deliver business outcomes. Mckinsey consulting says, less than 20% of the companies have achieved analytics at scale. So, how can a business enterprise avoid analytics failure and deliver business results? This book provides ten key analytics best practices that will improve the odds of delivering enterprise data analytics solutions successfully. It is intended for anyone who has a stake and interest in deriving insights from data analytics. The three key differentiating aspects of this book are: Practicality. This book offers prescriptive, superior, and practical guidance. Completeness. This book looks at data analytics holistically across the four key data analytics domains - data management, data engineering, data science, and data visualization. Neutrality. This book is technologically agnostic and looks at analytics concepts without any reference to commercial analytics products and technologies. Dr. Southekal proves why he is one of the leading thinkers on data and analytics today. 'Analytics Best Practices' is an indispensable guide for business leaders and those looking to get into the analytics field on the nuances, challenges, and immense opportunities with data. Douglas B. Laney Principal, Data & Analytics Strategy, Caserta, and author of "Infonomics"

Author : Aiman Zeid
Publisher : John Wiley & Sons
Page : 208 pages
File Size : 53,9 Mb
Release : 2014-02-14
Category : Computers
ISBN : 9781118891612

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Business Transformation by Aiman Zeid Pdf

Effectively introduce and promote analytics within your enterprise All companies use information to set strategies and accomplish business objectives. But how many CEOs and CIOs would say they are satisfied that their companies get maximum value from information? Business Transformation reveals how SAS's Information Evolution Model (IEM) can be used together with analytics for groundbreaking results. Author Aiman Zeid provides the necessary information you need to introduce and promote the use of analytics and insight across your organization. Along with examples and best practices of global companies that have successfully been through this process, you'll learn how to identify the starting point and develop a road map for execution. Reveals how to introduce and promote the use of analytics and insights across your organization Written by a lead developer at SAS global Business Intelligence Competency Center program and services Features global case studies and examples Practical and insightful, this reference provides businesses with an essential blueprint for creating improvements that optimize business returns and put the potential of data analytics to work.

Author : Mike Biere
Publisher : Pearson Education
Page : 397 pages
File Size : 48,9 Mb
Release : 2010-08-15
Category : Business & Economics
ISBN : 9780132100618

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The New Era of Enterprise Business Intelligence by Mike Biere Pdf

A Complete Blueprint for Maximizing the Value of Business Intelligence in the Enterprise The typical enterprise recognizes the immense potential of business intelligence (BI) and its impact upon many facets within the organization—but it’s not easy to transform BI’s potential into real business value. In The New Era of Enterprise Business Intelligence, top BI expert Mike Biere presents a complete blueprint for creating winning BI strategies and infrastructure, and systematically maximizing the value of information throughout the enterprise. This product-independent guide brings together start-to-finish guidance and practical checklists for every senior IT executive, planner, strategist, implementer, and the actual business users themselves. Drawing on thousands of hours working with enterprise customers, Biere helps decision-makers choose from today’s unprecedented spectrum of options, including the latest BI platform suites and appliances. He offers practical, “in-the-trenches” insights on a wide spectrum of planning and implementation issues, from segmenting and supporting users to working with unstructured data. Coverage includes Understanding the scope of today’s BI solutions and how they fit into existing infrastructure Assessing new options such as SaaS and cloud-based technologies Avoiding technology biases and other “project killers” Developing effective RFIs/RFPs and proofs of concept Setting up competency centers and planning for skills development Crafting a better experience for all your business users Supporting the requirements of senior executives, including performance management Cost-justifying BI solutions and measuring success Working with enterprise content management, text analytics, and search Planning and constructing portals, mashups, and other user interfaces Previewing the future of BI

Author : Nagy K. Hanna
Publisher : Springer Science & Business Media
Page : 321 pages
File Size : 42,8 Mb
Release : 2009-12-11
Category : Business & Economics
ISBN : 9781441915085

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Enabling Enterprise Transformation by Nagy K. Hanna Pdf

Private enterprises in advanced economies have been learning to use information and communication technology (ICT) to innovate and transform their processes, products, services and business models, significantly improving productivity and competitiveness. Moreover, the ICT industry itself has become a major source of job creation and a contributor to economic growth and business transformation. A key question today is whether and how developing countries can learn to benefit from the ICT revolution, and what roles the government and private sector can play. Already, a number of developing countries have been inspired by the example of India and China, and are now seeking to jump on the outsourcing bandwagon. Nevertheless, with few exceptions in the developing world, little attention has been paid by policymakers and practitioners to invest systematically and proactively in ICT-enabled growth, poverty reduction and grassroots innovation. Most communities and small and medium-sized enterprises in developing countries, for example, face multiple constraints to adopting and leveraging this general purpose technology, and lack the capabilities for maximizing its potential. In "Enabling Enterprise Transformation", Nagy Hanna draws on his rich experience of over 35 years at the World Bank and other aid agencies as a development strategist and ICT policy expert, the most current research, and best practices from around the world to provide practical tools for promoting economic and social transformation through ICT. He assesses various initiatives to develop and diffuse ICT, such as innovation funds, incubators, parks, public-private partnerships, and comprehensive promotion programs. He argues for the strategic options now open for developing countries to participate in ICT production, to deploy ICT to transform industries and services, and to leverage ICT as a new national infrastructure for improving the business environment and enhancing the competitiveness of the whole economy. The challenge for leaders in developing countries is to create such social and institutional dynamics for learning about ICT use and adaptation at many levels. Lessons gained so far from programs to build these social learning and innovation capabilities at the institutional and grassroots levels should be shared among developing countries, and a dialogue among business leaders, policymakers, development agencies, educational institutions, and the general citizenry must be advanced.

Author : Wei-Dong Zhu,Ben Davies,Isuru Fernando,Blair Groff,Sven Hapke,Abraruddin Khan,Johnson Liu,Josemina Magdalen,Yuki Makino,Mike Prentice,IBM Redbooks
Publisher : IBM Redbooks
Page : 616 pages
File Size : 40,5 Mb
Release : 2014-10-22
Category : Computers
ISBN : 9780738439969

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Building IBM Enterprise Content Management Solutions From End to End by Wei-Dong Zhu,Ben Davies,Isuru Fernando,Blair Groff,Sven Hapke,Abraruddin Khan,Johnson Liu,Josemina Magdalen,Yuki Makino,Mike Prentice,IBM Redbooks Pdf

IBM® Enterprise Content Management (ECM) solutions provide efficient and effective ways to capture content, manage the content and business processes, discover insights from the content, and derive actions to improve business processes, products, and services. This IBM Redbooks® publication introduces and highlights some of the IBM ECM products that can be implemented and integrated together to create end-to-end ECM solutions: IBM Case Manager IBM Datacap IBM Content Manager OnDemand IBM Enterprise Records IBM WatsonTM Content Analytics IBM Content Classification For each product involved in the ECM solution, this IBM Redbooks publication briefly describes what it is, its functions and capabilities, and provides step-by-step procedures for installing, configuring, and implementing it. In addition, we provide procedures for integrating these products together to create an end-to-end ECM solution to achieve the overall solution objectives. Not all of the products are required to be integrated into an ECM solution. Depending on your business requirements, you can choose a subset of these products to be built into your ECM solutions. This book serves as a hands-on learning guide for information technology (IT) specialists who plan to build ECM solutions from end-to-end, for a proof of concept (PoC) environment, or for a proof of technology environment. For implementing a production-strength ECM solution, also refer to IBM Knowledge Center, IBM Redbooks publications, and IBM Software Services.

Author : Soumendra Mohanty,Madhu Jagadeesh,Harsha Srivatsa
Publisher : Apress
Page : 311 pages
File Size : 44,5 Mb
Release : 2013-08-23
Category : Computers
ISBN : 9781430248736

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Big Data Imperatives by Soumendra Mohanty,Madhu Jagadeesh,Harsha Srivatsa Pdf

Big Data Imperatives, focuses on resolving the key questions on everyone’s mind: Which data matters? Do you have enough data volume to justify the usage? How you want to process this amount of data? How long do you really need to keep it active for your analysis, marketing, and BI applications? Big data is emerging from the realm of one-off projects to mainstream business adoption; however, the real value of big data is not in the overwhelming size of it, but more in its effective use. This book addresses the following big data characteristics: Very large, distributed aggregations of loosely structured data – often incomplete and inaccessible Petabytes/Exabytes of data Millions/billions of people providing/contributing to the context behind the data Flat schema's with few complex interrelationships Involves time-stamped events Made up of incomplete data Includes connections between data elements that must be probabilistically inferred Big Data Imperatives explains 'what big data can do'. It can batch process millions and billions of records both unstructured and structured much faster and cheaper. Big data analytics provide a platform to merge all analysis which enables data analysis to be more accurate, well-rounded, reliable and focused on a specific business capability. Big Data Imperatives describes the complementary nature of traditional data warehouses and big-data analytics platforms and how they feed each other. This book aims to bring the big data and analytics realms together with a greater focus on architectures that leverage the scale and power of big data and the ability to integrate and apply analytics principles to data which earlier was not accessible. This book can also be used as a handbook for practitioners; helping them on methodology,technical architecture, analytics techniques and best practices. At the same time, this book intends to hold the interest of those new to big data and analytics by giving them a deep insight into the realm of big data.

Author : Nooruddin Abbas Ali
Publisher : "O'Reilly Media, Inc."
Page : 357 pages
File Size : 46,9 Mb
Release : 2024-05-20
Category : Computers
ISBN : 9781098136826

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Predictive Analytics for the Modern Enterprise by Nooruddin Abbas Ali Pdf

The surging predictive analytics market is expected to grow from $10.5 billion today to $28 billion by 2026. With the rise in automation across industries, the increase in data-driven decision-making, and the proliferation of IoT devices, predictive analytics has become an operational necessity in today's forward-thinking companies. If you're a data professional, you need to be aligned with your company's business activities more than ever before. This practical book provides the background, tools, and best practices necessary to help you design, implement, and operationalize predictive analytics on-premises or in the cloud. Explore ways that predictive analytics can provide direct input back to your business Understand mathematical tools commonly used in predictive analytics Learn the development frameworks used in predictive analytics applications Appreciate the role of predictive analytics in the machine learning process Examine industry implementations of predictive analytics Build, train, and retrain predictive models using Python and TensorFlow