Selling is the art of persuasion at its finest. It’s a way to willingly influence others’ behavior, to develop relationships, to build credibility, and to let the world know what you have to offer. Selling may be the single most important skill in human life. Whether you are a businessperson, a teacher, a prophet, or a parent, to get your point across, you have to sell. In Sell to Excel, author Asif Zaidi shows you how to sell to help people enhance their lives and resolve their problems. It draws on Zaidi’s successful sales career and extensive experience as a sales leader, and it discusses both the basics and the art of personal selling. This guide covers everything from helping buyers buy, to handling objections, negotiating, storytelling, and practicing active listening. A result of five years of rigorous study in neuroscience, communication, and psychology along with a lifetime in business, Sell to Excel offers advice and tips to put you at a strategic advantage in any personal selling situation in business or in life.

First 100 Days of Selling is a comprehensive look at how sales professionals build their business day by day. This guide consists of 100 time-honored ideas to achieve sales success and is written in a step-by-step formula that can be implemented and measured. The book is written for both salespeople that are new to the selling profession and experienced sales professionals who sish to achive new levels of sales performance. The book is written for sales mangers who wish to have a measurable approach to helping their salespeople come up to speed faster than the normal routine. The concepts in the book will help the sales professional capitalize on the new reality of potential customers who will not answer the phone, return their calls, and agree to an appointment or listen to their value proposition. Readers will learn the confidence -building techniques tha get returned calls, appointments, sales and ultimately referrals.

Do you want to be a writer? Would you like to be more organized about your writing, but not sure where to start? Then Excel for Writers is the book for you. It'll walk you through how to use Excel to (1) track your time spent writing and your word count, (2) calculate your potential income with both a trade publishing contract and a short story sale, (3) visually track your short story submission results, (4) use Excel to analyze a multi-viewpoint novel, and (5) much more. If you have a basic understanding of Excel, this guide will show you the ways you can use Excel to support your writing. Each worksheet includes detailed commentary and step-by-step instructions on how to create your own version. (And if you're self-published then check out Excel for Self-Publishers too.)

Trade more profitably by exploiting Microsoft Excel’s powerful statistical and data mining tools: · Uncover subtle anomalies and distortions that signal profit opportunities · Create powerful new custom indicators, alerts, and trading models · Visualize and analyze huge amounts of trading data with just a few clicks · Powerful techniques for every active investor who can use Excel Now that high-speed traders dominate the market, yesterday’s slower-paced analysis strategies are virtually worthless. To outperform, individual traders must discover fleeting market trends and inefficiencies and act on them before they disappear. Five years ago, this required multimillion-dollar data mining and analytical infrastructures. Today, traders can use Excel with the help of world-class trader Jeff Augen’s Microsoft Excel for Stock and Option Traders: Build your Own Analytical Tools for Higher Returns. Augen shows how to use Excel 2007 or 2010 to uncover hidden correlations and reliable trade triggers based on subtle anomalies and price distortions, create and test new hypotheses others haven’t considered, and visualize data to reveal insights others can’t see! "Jeff Augen turns things inside out in his remarkable and challenging book Microsoft Excel for Stock and Option Traders." - John A. Sarkett, SFO Magazine, October 2011

Taking a thematic approach to the use of Excel spreadsheets in introductory business data analysis, this text has been designed to explain the overall nature of what is to be achieved and also instruction in how it is to be done. The learning approach is highly interactive and enables students to develop an understanding of the power of Excel in allowing both analysis of business data sets and in the flexible preparation of graphs, charts and tables for inclusion in reports and essays. The text is supported by an online resource centre with self marking exercises that can be used by instructors for formative and summative assessment, and a series of PowerPoint files containing all of the illustrated worksheets and figures.

The definitive guide to developing applications with Microsoft Excel, this book is written by four authors who are Excel MVPs and run their own companies developing Excel-based applications.

Creating tables in Excel allows for easier formatting and reporting, but the new syntax that it implies can be intimidating to the uninitiated. In this guide, one of the developers of the official Microsoft Excel 2013 templates—all of which employ tables—helps introduce readers to the multiple benefits of tables. The book begins by explaining what tables are, how to create them, and how they can be used in reporting before moving on to slightly more advanced topics, including slicers and filtering, working with VBA macros, and using tables in the Excel web app. Novice Excel users and experts alike will find relevant, useful, and authoritative information in this one-of-a-kind resource.

Master business modeling and analysis techniques with Microsoft Excel and transform data into bottom-line results. Award-winning educator Wayne Winston's hands-on, scenario-focused guide helps you use today's Excel to ask the right questions and get accurate, actionable answers. More extensively updated than any previous edition, new coverage ranges from one-click data analysis to STOCKHISTORY, dynamic arrays to Power Query, and includes six new chapters. Practice with over 900 problems, many based on real challenges faced by working analysts. Solve real problems with Microsoft Excel—and build your competitive advantage Quickly transition from Excel basics to sophisticated analytics Use recent Power Query enhancements to connect, combine, and transform data sources more effectively Use the LAMBDA and LAMBDA helper functions to create Custom Functions without VBA Use New Data Types to import data including stock prices, weather, information on geographic areas, universities, movies, and music Build more sophisticated and compelling charts Use the new XLOOKUP function to revolutionize your lookup formulas Master new Dynamic Array formulas that allow you to sort and filter data with formulas and find all UNIQUE entries Illuminate insights from geographic and temporal data with 3D Maps Improve decision-making with probability, Bayes' theorem, and Monte Carlo simulation and scenarios Use Excel trend curves, multiple regression, and exponential smoothing for predictive analytics Use Data Model and Power Pivot to effectively build and use relational data sources inside an Excel workbook

This text provides a comprehensive introduction to quantitative methods for business students. The text employs Excel 5.0 as a tool to assist the student to understand and use quantitative methods to solve business problems. Designed to be read in front of the computer screen, this book introduces the student to topics in Quantitative Methods. Each chapter contains an illustrated set of exercises and solutions summarising the topics covered, and the book is accompanied by a disk containing further exercises andexamples referred to in the text. The book therefore presents the reader with a far more lively, active and hands-on approach to learning than that of a standard textbook. The text commences with an introduction to the functions, commands and routines contained in the Excel 5.0 spreadsheet. These are explained in the context of everyday business problems. Thereafter, these Excel techniques are applied to the topics that constitute undergraduate Quantitative Methodsmodules - algebraic modelling, financial mathematics, organisational methods, descriptive statistics, inferential statistics and regression. Throughout the discussion the distinction between quantitative theory and Excel techniques is marked in the text. Computer instructions are highlighted throughout. This provides a fast-track route for those readers who are familiar with quantitative methods but not with how to apply them onExcel. The book is tailored towards a readership of 1st or 2nd year students of Quantitative Methods (or maths and statistics) on Business, Management and Accountancy courses. It would also be appropriate for use on MBA, management or accountancy diploma courses.