Month: October 2013

Visual analytics best practices, “The Accidental Analyst”

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Read the first chapter online

Order “The Accidental Analyst“ at Amazon

Are you drowning in a sea of data? Would you like to take control of your data and analysis to quickly answer your business questions and make critical decisions? Do you want to confidently present results and solutions to your managers, colleagues, clients and the public? Are you a champion of analytics in your organization helping others learn how to analyze and make sense of their data?

If so, The Accidental Analyst: Show Your Data Who’s Boss is for you!

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My experience with data analytics-Strata Conference

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Please join me at the Strata Conference/Hadoop World in New York next Tuesday, October 29th, as I talk about my years of experience with data analysis alongside the founders and executives of ClearStory Data. ClearStory Data is delivering a new solution that makes it simple for business users to find, combine and interactively analyze data … Read more

A Share the Data client project plan

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Stephen McDaniel, Chief Data Officer AdvisoryHere’s an actual Share the Data™ project.  This is a simplification of a plan developed with a real client, with details changed to remove any identifying information.  While every project is unique, this is not an unusual engagement. Share the Data™ engagements range in length from 3 days to several weeks, depending on project complexity and client resource availability.

Background 

The client is approaching a key turning point in their operational history- going beyond traditional reporting with mainframe technologies to an advanced data warehouse with web-based reporting, dashboards, self-service analytics and even advanced analytics to optimize customer recruitment, operational management and improve the overall customer experience.

All of these areas are a dynamic, iterative undertaking with each area interlinked and interdependent.  It is critical that the management team at the client work to prioritize, fund and support each iterative phase of these projects.  Likewise, it is imperative that each phase of these projects show an acceptable rate of return (or greater!) for the time and money invested in these initiatives.  Better data and analytics are not an end in themselves, but rather a means to a more profitable and competitive company.

Objective

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