Leading With Data· a Bicycle Guide

Partial book profile

A PRACTITIONERS GUIDE TO ALTERYX 2018.1

USEReady

A hands-on practitioner's guide that teaches analysts how to blend, prepare, transform, and analyze data using the drag-and-drop Alteryx Analytics Platform through realistic business scenarios and self-guided exercises.

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What it’s about

Cast as a mentorship where you play a new consultant at a company working with Alteryx, this book walks you step-by-step through the full spectrum of self-service data analytics — from importing and cleansing data to building workflows, designing reports, creating analytic apps, writing macros, working with spatial and in-database tools, and applying predictive statistics. Each chapter introduces the relevant tools and concepts, works through a guided business problem, and leaves you with a self-directed exercise, culminating in a capstone assignment. Written by certified Alteryx practitioners at USEReady, it turns someone who has never opened Alteryx Designer into a capable builder of repeatable, automated data-preparation workflows that deliver deeper insight in hours instead of weeks — all with no programming required.

The through-line

Who it’s for
An aspiring or new data analyst/consultant who wants to gather deeper insights from data quickly without becoming a programmer.
The problem
Raw data comes from multiple sources in messy, machine-readable formats that are slow and manual to clean, combine, and analyze. The reader feels overwhelmed and intimidated by technical ETL processes and worries they lack the programming skills to do serious analytics.
The plan
  1. Learn the Alteryx Designer interface and how to build and run a workflow.
  2. Master core preparation, join, transform, and parse tools through guided business scenarios.
  3. Practice each concept with self-guided exercises and check against provided solutions.
  4. Advance to reporting, analytic apps, macros, spatial, in-database, connector, and predictive tools.
  5. Apply best practices for documentation, repeatability, and performance throughout.
The payoff
The reader can create workflows, design reports, develop applications, and write macros to solve virtually any data need. · They deliver deeper insights in hours instead of weeks with repeatable, self-verifying processes. · They confidently blend internal, third-party, and cloud data and apply spatial and predictive analytics — all without programming.

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