Books in the Wiley and SAS Business Series series

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.

A practical framework for revenue-boosting supply chain management Next Generation Demand Management is a guidebook to next generation Demand Management, with an implementation framework that improves revenue forecasts and enhances profitability.

Effectively introduce and promote analytics within your enterprise All companies use information to set strategies and accomplish business objectives.

A practical guide to leveraging your data to spur innovation and growth Your business generates reams of data, but what do you do with it? Reporting is only the beginning. Your data holds the key to innovation and growth you just need the proper analytics.

Learn the secrets to using analytics to grow your business Analytics continues to trend as one of the hottest topics in the business community today.

A timely look at effective use of social network analysis within the telecommunications industry to boost customer relationships The key to any successful company is the relationship that it builds with its customers.

Practical-nontechnical-solutions to the problems of business forecasting Written in a nontechnical style, this book provides practical solutions to common business forecasting problems, showing you how to think about business forecasting in the context of uncertainty, randomness and process performance.

Get your organization's expertise out of its silos and make it flow-with lessons from over a decade of experience Looking at knowledge management in a holistic way, Mastering Organizational Knowledge Flow: How to Make Knowledge Sharing Work puts the proper emphasis on non-technical issues.

* This book provides a guide to the evolution, practice, benefits, and implementation of Solvency II. * Solvency II was put in place to ensure that insurers can meet their risk-based liabilities over a one-year period to a 99. 5% certainty.

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.

In today's market, it takes more than good products and services to succeed. Successful marketing requires more precise segmentation and more sophisticated communications with customers--the lifeblood of every business--than ever before.

"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).

A strategic model for identifying, evaluating, and improving information use "Fundamentally changes how you look at the role of information technology and takes it to the leadership level, which is the only way for business performance to be maximized in this global economy.

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.

An integrated, strategic approach to higher-value analytics Leaders and Innovators: How Data-Driven Organizations Are Winning with Analytics shows how businesses leverage enterprise analytics to gain strategic insights for profitability and growth.

Don't squander your most valuable resource! Collectively, your workers are your company's most important and most valuable asset. To make the most of this asset, nothing beats quantitative performance and investment measurement.

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.