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Author: Brenda L. Dietrich Publisher: Pearson Education ISBN: 0133833038 Category : Business & Economics Languages : en Pages : 223
Book Description
Analytics systematically informs human judgment with data-driven insight, improving decision-making and enabling greater innovation and creativity in support of strategy. This book hows how IBM has successfully leveraged analytics across the enterprise, worldwide. Through 31 case studies, the book shares real-world perspectives on what does and doesn't work and how to start or accelerate the business transformation. 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; and "measuring the immeasurable" and filling gaps in imperfect data.
Author: Brenda L. Dietrich Publisher: Pearson Education ISBN: 0133833038 Category : Business & Economics Languages : en Pages : 223
Book Description
Analytics systematically informs human judgment with data-driven insight, improving decision-making and enabling greater innovation and creativity in support of strategy. This book hows how IBM has successfully leveraged analytics across the enterprise, worldwide. Through 31 case studies, the book shares real-world perspectives on what does and doesn't work and how to start or accelerate the business transformation. 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; and "measuring the immeasurable" and filling gaps in imperfect data.
Author: Brenda L. Dietrich Publisher: ISBN: 9780133835922 Category : Business enterprises Languages : en Pages :
Book Description
Analytics systematically informs human judgment with data-driven insight, improving decision-making and enabling greater innovation and creativity in support of strategy. This book hows how IBM has successfully leveraged analytics across the enterprise, worldwide. Through 31 case studies, the book shares real-world perspectives on what does and doesn't work and how to start or accelerate the business transformation. 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; and "measuring the immeasurable" and filling gaps in imperfect data.
Author: Oliver Ratzesberger Publisher: John Wiley & Sons ISBN: 1119438861 Category : Business & Economics Languages : en Pages : 176
Book Description
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: Michael Minelli Publisher: John Wiley & Sons ISBN: 111814760X Category : Business & Economics Languages : en Pages : 230
Book Description
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 clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue and profitability. The Age of Big Data is here, and these are truly revolutionary times. This timely book looks at cutting-edge companies supporting an exciting new generation of business analytics. Learn more about the trends in big data and how they are impacting the business world (Risk, Marketing, Healthcare, Financial Services, etc.) Explains this new technology and how companies can use them effectively to gather the data that they need and glean critical insights Explores relevant topics such as data privacy, data visualization, unstructured data, crowd sourcing data scientists, cloud computing for big data, and much more.
Author: Olivia Parr-Rud Publisher: SAS Institute ISBN: 1629593273 Category : Computers Languages : en Pages : 182
Book Description
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: Jean-Paul Isson Publisher: John Wiley & Sons ISBN: 1118370600 Category : Business & Economics Languages : en Pages : 416
Book Description
Plain English guidance for strategic business analytics and big data implementation In today's challenging economy, business analytics and big data have become more and more ubiquitous. While some businesses don't even know where to start, others are struggling to move from beyond basic reporting. In some instances management and executives do not see the value of analytics or have a clear understanding of business analytics vision mandate and benefits. Win with Advanced Analytics focuses on integrating multiple types of intelligence, such as web analytics, customer feedback, competitive intelligence, customer behavior, and industry intelligence into your business practice. Provides the essential concept and framework to implement business analytics Written clearly for a nontechnical audience Filled with case studies across a variety of industries Uniquely focuses on integrating multiple types of big data intelligence into your business Companies now operate on a global scale and are inundated with a large volume of data from multiple locations and sources: B2B data, B2C data, traffic data, transactional data, third party vendor data, macroeconomic data, etc. Packed with case studies from multiple countries across a variety of industries, Win with Advanced Analytics provides a comprehensive framework and applications of how to leverage business analytics/big data to outpace the competition.
Author: Prakash Sah Publisher: ISBN: 9788981195717 Category : Business planning Languages : en Pages : 0
Book Description
This book describes key elements of enterprise data and analytics strategy and prescribes a pragmatic approach to define strategy for large enterprises. It 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 inherent complexities of such initiatives. The book discusses key challenges that enterprises struggle with, such asdefining enterprise data and analytics strategy, and key elements that should be considered while doing so; limitations of one-size-fits-all approach which does not work for all enterprises; aligning data and analytics initiative with business strategy of the CEO; establishing a futuristic technology and architecture foundation, given the exponential rate of innovation in data and analytics technologies; defining the right data and analytics organization model and structure; reasons why data and analytics organization and processes need to be different from other functions; managing organizational change to ensure success of data and analytics initiative; defining a business value measurement framework and calculating ROI from data and analytics initiative; and key skills required in a data and analytics leader to wade through political and other challenges of a large enterprise. Often, data and analytics leaders define a strategy that is focused primarily on technology and architecture. This leads to failure of a majority of data and analytics initiatives across enterprises. The book recommends defining a holistic strategy through five key elements (a) business capabilities, (b) technology and architecture, (c) team, processes, and governance, (d) organizational change management, and (e) value measurement framework. The book helps executives, chief digital/analytics officers, data and analytics professionals, consultants, and students in addressing various challenges and dilemmas that they face every day to make their enterprises more data driven.
Author: Wayne W. Eckerson Publisher: John Wiley & Sons ISBN: 0471757659 Category : Business & Economics Languages : en Pages : 321
Book Description
Tips, techniques, and trends on how to use dashboard technology to optimize business performance Business performance management is a hot new management discipline that delivers tremendous value when supported by information technology. Through case studies and industry research, this book shows how leading companies are using performance dashboards to execute strategy, optimize business processes, and improve performance. Wayne W. Eckerson (Hingham, MA) is the Director of Research for The Data Warehousing Institute (TDWI), the leading association of business intelligence and data warehousing professionals worldwide that provide high-quality, in-depth education, training, and research. He is a columnist for SearchCIO.com, DM Review, Application Development Trends, the Business Intelligence Journal, and TDWI Case Studies & Solution.
Author: Allen Dreibelbis Publisher: IBM Press ISBN: 9780134857503 Category : Languages : en Pages : 656
Book Description
The Only Complete Technical Primer for MDM Planners, Architects, and Implementers Companies moving toward flexible SOA architectures often face difficult information management and integration challenges. The master data they rely on is often stored and managed in ways that are redundant, inconsistent, inaccessible, non-standardized, and poorly governed. Using Master Data Management (MDM), organizations can regain control of their master data, improve corresponding business processes, and maximize its value in SOA environments. Enterprise Master Data Management provides an authoritative, vendor-independent MDM technical reference for practitioners: architects, technical analysts, consultants, solution designers, and senior IT decisionmakers. Written by the IBM® data management innovators who are pioneering MDM, this book systematically introduces MDM's key concepts and technical themes, explains its business case, and illuminates how it interrelates with and enables SOA. Drawing on their experience with cutting-edge projects, the authors introduce MDM patterns, blueprints, solutions, and best practices published nowhere else--everything you need to establish a consistent, manageable set of master data, and use it for competitive advantage. Coverage includes How MDM and SOA complement each other Using the MDM Reference Architecture to position and design MDM solutions within an enterprise Assessing the value and risks to master data and applying the right security controls Using PIM-MDM and CDI-MDM Solution Blueprints to address industry-specific information management challenges Explaining MDM patterns as enablers to accelerate consistent MDM deployments Incorporating MDM solutions into existing IT landscapes via MDM Integration Blueprints Leveraging master data as an enterprise asset--bringing people, processes, and technology together with MDM and data governance Best practices in MDM deployment, including data warehouse and SAP integration
Author: Brenda L. Dietrich
Author: Brenda L. Dietrich
Author: Thomas H. Davenport
Author: Brenda L. Dietrich
Author: Oliver Ratzesberger
Author: Michael Minelli
Author: Olivia Parr-Rud
Author: Jean-Paul Isson
Author: Prakash Sah
Author: Wayne W. Eckerson
Author: Allen Dreibelbis