Böcker i Wiley and SAS Business Series-serien

"Customers are the heart of any business. But we can't succeed if we develop only one talk addressed to the 'average customer. ' Instead we must know each customer and build our individual engagements with that knowledge. If Customer Relationship Management (CRM) is going to work, it calls for skills in Customer Data Integration (CDI).

This book emphasizes that the analytical tools (e.g. , balanced scorecard, activity-based management, etc. ) which presently exist have been tested and are mature, and that their integration is now the big opportunity. This means not just information technology systems integration but the integration of "thinking" (i.e.

A concise framework on how financial institutions can improve their risk assessment systems The subprime crisis in the United States has prompted companies worldwide to improve their lending systems.

Provides a methodology for effective enterprise risk management. Prescribes a process for measurement of risk associated with the achievement of strategic objectives. By using this methodology, readers will have a greater chance of success in meeting their strategic objectives. This book is part of the Wiley and SAS Business series. .

A hands-on, analytics road map for health industry leaders The industry-wide transformation taking place across the health and life sciences ecosystem is mandating that organizations adopt new decision-making capabilities, based on science and real-world information.

Case Studies in Performance Management features actual relevant industry case studies-along with expert commentary-from companies that have implemented Activity-Based/Performance Management.

An insightful look at the implementation of advanced analytics on human capital Human capital analytics, also known as human resources analytics or talent analytics, is the application of sophisticated data mining and business analytics techniques to human resources data.

Get proven guidance to build a market-driven supply chain management system Supply chain management processes have gradually shifted from a supply-driven focus to a demand-driven one in order to better synchronize demand and supply signals.

Offers a key resource for understanding and implementing effective data governance practices and data modeling within financial organizations. This book outlines the strategic competencies, includes best practices, and suggests a set of mechanisms for self-evaluation. It also includes a survey of case studies.

From a review of basic forecasting methods to the advanced and innovative techniques in use today, this book offers a fundamental understanding of the quantitative methods used to sense, shape, and predict future demand within a structured process. It is suitable for professionals who need to improve the accuracy of their sales forecasts.

You receive an e-mail. It contains an offer for a complete personal computer system. It seems like the retailer read your mind since you were exploring computers on their web site just a few hours prior .

* This book examines the technology that is needed to combat bank fraud. * It provides the necessary tools that fraud prevention specialist needed to determine their technology needs.

Social media has already transformed society. Now it is poised to revolutionize communications and collaborative business processes. This book provides you with an actionable framework for developing and executing successful enterprise social networking strategies.

Learn to manage and grow successful analytical teams within your business Examining analytics-one of the hottest business topics today- The New KNOW argues that analytics is needed by all enterprises in order to be successful.

Praise for Fair Lending ComplianceIntelligence and Implications for Credit Risk Management "Brilliant and informative. An in-depth look at innovative approaches to credit risk management written by industry practitioners.

Reality-based modeling for today's unique economic recovery Economic Modeling in the Post Great Recession Era presents a more realistic approach to modeling, using direct statistical applications to address the characteristics and trends central to current market behaviors.

Staying competitive and meeting the pressure of regulatory compliance requirements demands that information sources and business and analytic intelligence be accessible to a growing number of information consumers across the corporation and beyond. So investing in an information infrastructure is well worth the effort.

Text As Data: Combining qualitative and quantitative algorithms within the SAS system for accurate, effective and understandable text analyticsThe need for powerful, accurate and increasingly automatic text analysis software in modern information technology has dramatically increased. Fields as diverse as financial management, fraud and cybercrime prevention, Pharmaceutical R&D, social media marketing, customer care, and health services are implementing more comprehensive text-inclusive, analytics strategies. Text as Data: Computational Methods of Understanding Written Expression Using SAS presents an overview of text analytics and the critical role SAS software plays in combining linguistic and quantitative algorithms in the evolution of this dynamic field.Drawing on over two decades of experience in text analytics, authors Barry deVille and Gurpreet Singh Bawa examine the evolution of text mining and cloud-based solutions, and the development of SAS Visual Text Analytics. By integrating quantitative data and textual analysis with advanced computer learning principles, the authors demonstrate the combined advantages of SAS compared to standard approaches, and show how approaching text as qualitative data within a quantitative analytics framework produces more detailed, accurate, and explanatory results.* Understand the role of linguistics, machine learning, and multiple data sources in the text analytics workflow* Understand how a range of quantitative algorithms and data representations reflect contextual effects to shape meaning and understanding* Access online data and code repositories, videos, tutorials, and case studies* Learn how SAS extends quantitative algorithms to produce expanded text analytics capabilities* Redefine text in terms of data for more accurate analysisThis book offers a thorough introduction to the framework and dynamics of text analytics--and the underlying principles at work--and provides an in-depth examination of the interplay between qualitative-linguistic and quantitative, data-driven aspects of data analysis. The treatment begins with a discussion on expression parsing and detection and provides insight into the core principles and practices of text parsing, theme, and topic detection. It includes advanced topics such as contextual effects in numeric and textual data manipulation, fine-tuning text meaning and disambiguation. As the first resource to leverage the power of SAS for text analytics, Text as Data is an essential resource for SAS users and data scientists in any industry or academic application.

With big data analytics comes big insights into profitability Big data is big business. But having the data and the computational power to process it isn't nearly enough to produce meaningful results.

Performance management is the process of assessing progress toward achieving predetermined goals. It helps companies achieve their strategic goals. Methodologies used to create a performance management strategy include activity-based management, balanced scorecard, and six sigma.

Organizations set their business strategy and direction based on information that is available to executives. Certain critical organization assets are considered in business planning but often data is overlooked by executives, board of directors, or strategic planners.

Effective transaction monitoring begins with proper implementation Anti-Money Laundering Transaction Monitoring Systems Implementation provides comprehensive guidance for bank compliance and IT personnel tasked with implementing AML transaction monitoring.

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.

Streamline data analysis with an intuitive, visual Six Sigma strategy Visual Six Sigma provides the statistical techniques that help you get more information from your data.

Equipping analysts, practitioners, and graduate students with a statistical framework to make effective decisions based on the application of simple economic and statistical methods, this title offers a comprehensive and practical approach to quantifying and accurate forecasting of key variables.

The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior.

An evidence-based organizational framework for exceptional analytics team resultsThe Analytics Lifecycle Toolkit provides managers with a practical manual for integrating data management and analytic technologies into their organization. Author Gregory Nelson has encountered hundreds of unique perspectives on analytics optimization from across industries; over the years, successful strategies have proven to share certain practices, skillsets, expertise, and structural traits. In this book, he details the concepts, people and processes that contribute to exemplary results, and shares an organizational framework for analytics team functions and roles. By merging analytic culture with data and technology strategies, this framework creates understanding for analytics leaders and a toolbox for practitioners. Focused on team effectiveness and the design thinking surrounding product creation, the framework is illustrated by real-world case studies to show how effective analytics team leadership works on the ground.Tools and templates include best practices for process improvement, workforce enablement, and leadership support, while guidance includes both conceptual discussion of the analytics life cycle and detailed process descriptions. Readers will be equipped to:* Master fundamental concepts and practices of the analytics life cycle* Understand the knowledge domains and best practices for each stage* Delve into the details of analytical team processes and process optimization* Utilize a robust toolkit designed to support analytic team effectivenessThe analytics life cycle includes a diverse set of considerations involving the people, processes, culture, data, and technology, and managers needing stellar analytics performance must understand their unique role in the process of winnowing the big picture down to meaningful action. The Analytics Lifecycle Toolkit provides expert perspective and much-needed insight to managers, while providing practitioners with a new set of tools for optimizing results.

A straightforward, non-technical guide to the next major marketing tool Artificial Intelligence for Marketing presents a tightly-focused introduction to machine learning, written specifically for marketing professionals.