Grasp essential steps in order to generate meaningful results quickly with JMP. JMP Essentials: An Illustrated Step-by-Step Guide for New Users, Second Edition is designed for the new or occasional JMP user who needs to generate meaningful graphs or results quickly. Drawing on their own experience working with these customers, the authors provide essential steps for what new users typically need to carry out with JMP. This newest edition has all new...

Today, enterprises have more data at their disposal than ever before. Yet relatively few companies can quickly and efficiently get data to the people who need it for critical insights and important decisions. In this insightful report, David Sweenor and Melissa Burroughs from Alteryx explain analytic democratization, a strategy that leading organizations are now using to manage data access, analytics platforms, and data-driven decision-making. By...

Do your product dashboards look funky? Are your quarterly reports stale? Is the data set you're using broken or just plain wrong? These problems affect almost every team, yet they're usually addressed on an ad hoc basis and in a reactive manner. If you answered yes to these questions, this book is for you. Many data engineering teams today face the "good pipelines, bad data" problem. It doesn't matter how advanced your data infrastructure is if the...

This new business analytics case study challenges readers to optimize the logistics operation for a regional chain of discount stores, gaining the insight they need to consolidate routes and eliminate overspending. Crystallizing realistic analytical challenges faced by companies in many industries and markets, it exposes readers to the entire decision-making process, providing opportunities to perform analyses, interpret output, and recommend the...

In a recent data and analytics survey conducted by MIT Sloan Management Review in partnership with SAS Institute Inc., the authors found a strong correlation between the value companies say they generate using analytics and the amount of data they use. Combining the responses to several survey questions, they identified five levels of analytics sophistication, with those at Level 5 being most sophisticated and innovative. These analytical innovators...

Plummeting data acquisition costs have been a big part of the surge in business analytics. We have much richer samples of data to use for insight. But more data doesn't inherently remove sampling bias; in fact, it may make it worse.

Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing...

Discover how to use the popular RStudio IDE as a professional tool that includes code refactoring support, debugging, and Git version control integration. This book gives you a tour of RStudio and shows you how it helps you do exploratory data analysis, build data visualizations with ggplot, and create custom R packages and web-based interactive visualizations with Shiny. In addition, you will cover common data analysis tasks including importing data...

"There has been an explosion in database technology designed to handle big data and deep analytics from both established vendors and startups. This session will provide a quick tour of the primary technology innovations and systems powering the analytic database landscape."--Resource description page.