The Power of Sales Analytics

The Power of Sales Analytics
Author: Andris A. Zoltners
Publisher: Zs Associates, Incorporated
Total Pages: 290
Release: 2015-03
Genre: Sales management
ISBN: 9780985343644
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Written by over 20 thought leaders from ZS Associates, Inc., The Power of Sales Analytics shares strategic insights, pragmatic advice, and illustrative case studies and approaches for using analytics to support sales force decisions and drive results. The authors describe how leading companies have successfully used analytics to improve key sales force effectiveness drivers such as customer targeting, sales process design, sales force size and structure, territory design, talent management, incentive compensation, goal setting, and performance management. The book also has a blueprint for implementing critical analytic capabilities cost-effectively by assembling the right combination of internal and external resources. The Power of Sales Analytics is edited by the founders of ZS Associates, Andris A. Zoltners and Prabhakant Sinha, who have personally consulted with more than 200 companies in over 20 countries, and business writer Sally E. Lorimer. As experts in the field of sales analytics, the editors have helped the sales leaders of Fortune 500 companies, as well as smaller entrepreneurial businesses, tap into the power of analytics to enable smarter sales strategies, support more efficient operations, facilitate more effective execution, and ultimately drive results. They are also coauthors of numerous academic articles and books on sales force management, including Building a Winning Sales Force, Accelerating Sales Force Performance, Sales Force Design for Strategic Advantage, The Complete Guide to Sales Force Incentive Compensation, and Building a Winning Sales Management Team. In addition to cofounding ZS Associates, Zoltners is a professor emeritus of marketing at Northwestern University s Kellogg School of Management, and Sinha is a former Kellogg faculty member. Both continue to teach sales executives Zoltners at Kellogg and Sinha at the Indian School of Business and the Gordon Institute of Business Science in South Africa. ZS Associates is a global leader in sales and marketing consulting, outsourcing, technology, and software. For more than 30 years, ZS has helped companies across a range of industries deliver greater impact through their sales and marketing investments and operations.

Sales Management

Sales Management
Author: Thomas N. Ingram
Publisher: M.E. Sharpe
Total Pages: 426
Release: 2021
Genre: Sales management
ISBN: 0765628708
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Ecommerce Analytics

Ecommerce Analytics
Author: Judah Phillips
Publisher: FT Press
Total Pages: 523
Release: 2016-04-04
Genre: Computers
ISBN: 0134177967
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Ecommerce analytics encompasses specific, powerful techniques for collecting, measuring, analyzing, dashboarding, optimizing, personalizing, and automating data related to online sales and customers. If you participate in the $220 billion ecommerce space, you need expert advice on applying these techniques in your unique environment. Ecommerce Analytics is the only book to deliver the focused, coherent, and practical guidance you’re looking for. Authored by leading consultant and analytics team leader Judah Phillips, it shows how to leverage your massive, complex data resources to improve efficiency, grow revenue, reduce cost, and above all, boost profitability. This landmark guide focuses on using analytics to solve critical problems ecommerce organizations face, from improving brand awareness and favorability through generating demand; shaping digital behavior to accelerating conversion, improving experience to nurturing and re-engaging customers. Phillips shows how to: Implement and unify ecommerce analytics related to product, transactions, customers, merchandising, and marketing More effectively measure performance associated with customer acquisition, conversion, outcomes, and business impact Use analytics to identify the tactics that will create the most value, and execute them more effectively Think about and analyze the behavior of customers, prospects, and leads in ecommerce experiences Optimize paid/owned/earned marketing channels, product mix, merchandising, pricing/promotions/sales, browsing/shopping/purchasing, and other ecommerce functions Understand and model attribution Structure and socialize ecommerce teams for success Evaluate the potential impact of technology choices and platforms Understand the implications of ecommerce analytics on customer privacy, life, and society Preview the future of ecommerce analytics over the next 20 years

Cracking the Sales Management Code: The Secrets to Measuring and Managing Sales Performance

Cracking the Sales Management Code: The Secrets to Measuring and Managing Sales Performance
Author: Jason Jordan
Publisher: McGraw Hill Professional
Total Pages: 272
Release: 2011-10-14
Genre: Business & Economics
ISBN: 0071769617
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Boost sales results by zeroing in on the metrics that matter most “Sales may be an art, but sales management is a science. Cracking the Sales Management Code reveals that science and gives practical steps to identify the metrics you must measure to manage toward success.” —Arthur Dorfman, National Vice President, SAP “Cracking the Sales Management Code is a must-read for anyone who wants to bring his or her sales management team into the 21st century.” —Mike Nathe, Senior Vice President, Essilor Laboratories of America “The authors correctly assert that the proliferation of management reporting has created a false sense of control for sales executives. Real control is derived from clear direction to the field—and this book tells how do to that in an easy-to-understand, actionable manner.” —Michael R. Jenkins, Signature Client Vice President, AT&T Global Enterprise Solutions “There are things that can be managed in a sales force, and there are things that cannot. Too often sales management doesn’t see the difference. This book is invaluable because it reveals the manageable activities that actually drive sales results.” —John Davis, Vice President, St. Jude Medical “Cracking the Sales Management Code is one of the most important resources available on effective sales management. . . . It should be required reading for every sales leader.” —Bob Kelly, Chairman, The Sales Management Association “A must-read for managers who want to have a greater impact on sales force performance.” —James Lattin, Robert A. Magowan Professor of Marketing, Graduate School of Business, Stanford University “This book offers a solution to close the gap between sales processes and business results. It shows a new way to think critically about the strategies and tactics necessary to move a sales team from good to great!” —Anita Abjornson, Sales Management Effectiveness, Abbott Laboratories About the Book: There are literally thousands of books on selling, coaching, and leadership, but what about the particulars of managing a sales force? Where are the frameworks, metrics, and best practices to help you succeed? Based on extensive research into how world-class companies measure and manage their sales forces, Cracking the Sales Management Code is the first operating manual for sales management. In it you will discover: The five critical processes that drive sales performance How to choose the right processes for your own team The three levels of sales metrics you must collect Which metrics you can “manage” and which ones you can’t How to prioritize conflicting sales objectives How to align seller activities with business results How to use CRM to improve the impact of coaching As Neil Rackham writes in the foreword: “There’s an acute shortage of good books on the specifics of sales management. Cracking the Sales Management Code is about the practical specifics of sales management in the new era, and it fills a void.” Cracking the Sales Management Code fills that void by providing foundational knowledge about how the sales force works. It reveals the gears and levers that actually control sales results. It adds clarity to things that you intuitively know and provides insight into things that you don’t. It will change the way you manage your sellers from day to day, as well as the results you get from year to year.

Predictive Analytics

Predictive Analytics
Author: Eric Siegel
Publisher: John Wiley & Sons
Total Pages: 368
Release: 2016-01-12
Genre: Business & Economics
ISBN: 1119153654
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"Mesmerizing & fascinating..." —The Seattle Post-Intelligencer "The Freakonomics of big data." —Stein Kretsinger, founding executive of Advertising.com Award-winning | Used by over 30 universities | Translated into 9 languages An introduction for everyone. In this rich, fascinating — surprisingly accessible — introduction, leading expert Eric Siegel reveals how predictive analytics (aka machine learning) works, and how it affects everyone every day. Rather than a “how to” for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques. Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections. How? Prediction is powered by the world's most potent, flourishing unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive analytics (aka machine learning) unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. In this lucid, captivating introduction — now in its Revised and Updated edition — former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: What type of mortgage risk Chase Bank predicted before the recession. Predicting which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves. Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights. Five reasons why organizations predict death — including one health insurance company. How U.S. Bank and Obama for America calculated the way to most strongly persuade each individual. Why the NSA wants all your data: machine learning supercomputers to fight terrorism. How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison. 182 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more. How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more. A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a

Sales 101

Sales 101
Author: Wendy Connick
Publisher: Adams Media
Total Pages: 256
Release: 2019-09-17
Genre: Business & Economics
ISBN: 1507211031
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Learn the ins and outs of sales techniques with this comprehensive and accessible guide that is the crash course in how to sell anything. Sometimes, it seems like learning a new skill is impossible. But whether you are interested in pursuing a full-times sales career, want to make extra money with sales as a side hustle, or are just looking to turn your hobby into a business, everyone can benefit from knowing how to sell. With Sales 101 you can start selling now. This clear and comprehensive guide is perfect for those who are just starting out in the sales field. Presented with a casual and an easy-to-understand tone, it gives you the information and training you need to get started. Sales 101 teaches the basic sales philosophies and tactics that have been successful for centuries, along with newer, more up-to-date information about using the internet and social media to find leads and increase your customer base. Whether you need guidance in making a presentation or closing a deal to handling rejection or managing your time, Sales 101 shares the best advice and solutions to prepare you for a career in the sales field.

AI in Marketing, Sales and Service

AI in Marketing, Sales and Service
Author: Peter Gentsch
Publisher: Springer
Total Pages: 280
Release: 2018-10-22
Genre: Business & Economics
ISBN: 3319899570
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AI and Algorithmics have already optimized and automated production and logistics processes. Now it is time to unleash AI on the administrative, planning and even creative procedures in marketing, sales and management. This book provides an easy-to-understand guide to assessing the value and potential of AI and Algorithmics. It systematically draws together the technologies and methods of AI with clear business scenarios on an entrepreneurial level. With interviews and case studies from those cutting edge businesses and executives who are already leading the way, this book shows you: how customer and market potential can be automatically identified and profiled; how media planning can be intelligently automated and optimized with AI and Big Data; how (chat)bots and digital assistants can make communication between companies and consumers more efficient and smarter; how you can optimize Customer Journeys based on Algorithmics and AI; and how to conduct market research in more efficient and smarter way. A decade from now, all businesses will be AI businesses – Gentsch shows you how to make sure yours makes that transition better than your competitors.

Data Analytics: Principles, Tools, and Practices

Data Analytics: Principles, Tools, and Practices
Author: Gaurav Aroraa
Publisher: BPB Publications
Total Pages: 481
Release: 2022-01-24
Genre: Antiques & Collectibles
ISBN: 9388511956
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A Complete Data Analytics Guide for Learners and Professionals. KEY FEATURES ● Learn Big Data, Hadoop Architecture, HBase, Hive and NoSQL Database. ● Dive into Machine Learning, its tools, and applications. ● Coverage of applications of Big Data, Data Analysis, and Business Intelligence. DESCRIPTION These days critical problem solving related to data and data sciences is in demand. Professionals who can solve real data science problems using data science tools are in demand. The book “Data Analytics: Principles, Tools, and Practices” can be considered a handbook or a guide for professionals who want to start their journey in the field of data science. The journey starts with the introduction of DBMS, RDBMS, NoSQL, and DocumentDB. The book introduces the essentials of data science and the modern ecosystem, including the important steps such as data ingestion, data munging, and visualization. The book covers the different types of analysis, different Hadoop ecosystem tools like Apache Spark, Apache Hive, R, MapReduce, and NoSQL Database. It also includes the different machine learning techniques that are useful for data analytics and how to visualize data with different graphs and charts. The book discusses useful tools and approaches for data analytics, supported by concrete code examples. After reading this book, you will be motivated to explore real data analytics and make use of the acquired knowledge on databases, BI/DW, data visualization, Big Data tools, and statistical science. WHAT YOU WILL LEARN ● Familiarize yourself with Apache Spark, Apache Hive, R, MapReduce, and NoSQL Database. ● Learn to manage data warehousing with real time transaction processing. ● Explore various machine learning techniques that apply to data analytics. ● Learn how to visualize data using a variety of graphs and charts using real-world examples from the industry. ● Acquaint yourself with Big Data tools and statistical techniques for machine learning. WHO THIS BOOK IS FOR IT graduates, data engineers and entry-level professionals who have a basic understanding of the tools and techniques but want to learn more about how they fit into a broader context are encouraged to read this book. TABLE OF CONTENTS 1. Database Management System 2. Online Transaction Processing and Data Warehouse 3. Business Intelligence and its deeper dynamics 4. Introduction to Data Visualization 5. Advanced Data Visualization 6. Introduction to Big Data and Hadoop 7. Application of Big Data Real Use Cases 8. Application of Big Data 9. Introduction to Machine Learning 10. Advanced Concepts to Machine Learning 11. Application of Machine Learning

The Definitive Guide to DAX

The Definitive Guide to DAX
Author: Alberto Ferrari
Publisher: Microsoft Press
Total Pages: 1515
Release: 2015-10-14
Genre: Computers
ISBN: 0735698376
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This comprehensive and authoritative guide will teach you the DAX language for business intelligence, data modeling, and analytics. Leading Microsoft BI consultants Marco Russo and Alberto Ferrari help you master everything from table functions through advanced code and model optimization. You’ll learn exactly what happens under the hood when you run a DAX expression, how DAX behaves differently from other languages, and how to use this knowledge to write fast, robust code. If you want to leverage all of DAX’s remarkable power and flexibility, this no-compromise “deep dive” is exactly what you need. Perform powerful data analysis with DAX for Microsoft SQL Server Analysis Services, Excel, and Power BI Master core DAX concepts, including calculated columns, measures, and error handling Understand evaluation contexts and the CALCULATE and CALCULATETABLE functions Perform time-based calculations: YTD, MTD, previous year, working days, and more Work with expanded tables, complex functions, and elaborate DAX expressions Perform calculations over hierarchies, including parent/child hierarchies Use DAX to express diverse and unusual relationships Measure DAX query performance with SQL Server Profiler and DAX Studio