Gary Angel

Nailing 5 Theses to the Door of the Big Data Church

Last Friday I took part in the DAA’s latest version of Ask Anything where DAA Members can send in questions and the designated responder...

Crikey! What the UK Election Fiasco Tells us about Enterprise Voice of Customer

I won’t pretend to be an expert on UK politics and even less on UK polling. But in the wake of the disastrous performance...

Analytic Roles in the Enterprise – What’s with the Taxonomy and Meta-Data Systems?

In my last post, I took a shot at defining what a data science role actually is or might be. My goal wasn’t to...

(Re)Defining the role of the data scientist

In the last couple years the term data scientist has become an accepted part of the broad analytics space. Everywhere I look, I see...

On the Importance of ETL

If you translate IT analytics professions into their Hollywood counterparts, analysts are the stars and big data architects are the directors. It’s great to...

Data Structures for Sequence, Time Between and Pattern

More Thoughts on Analyzing the User Journey I saw an article this past week in the local rag touting a bold new initiative in social...

A Data Model for the User Journey

When I talk to companies who are thinking about or trying to build a big data digital analytics warehouse, the two business problems that...

The Visit is Dead, Long Live the Visit

In my last post on building a digital data model for the analytics warehouse, I described the concept of statistical ETL and argued for...

Statistical ETL and Big Data

I began this series with a short essay on the meaning of big data and why digital data is paradigmatic of big data. In...

Big Data Analytics and Digital Detail Data

My last post – a pretty technical deep-dive into the challenges around non-lossy visit-level aggregation of digital data - was surprisingly popular. That’s always...

The Big Data Analytics Warehouse and Digital Data Models

A Quick Introduction to Big Data Does the term big data get at something real or is it just a handy catch-phrase for helping IT...

Digital Data Science and the Analytics Warehouse

Here at EY, we spent a good chunk of time last year helping client’s build out digital capabilities in the analytics warehouse. In some...

Omni-Channel Optimization: There is no Golden Path

My daughters have recently begun to stage weekend “film festivals” where they will run four, five or even six movies over the course of...

Talking Analytics Organization

Thursday morning I spent an hour talking “live” with Jim Sterne as part of a new DAA program called “Thought Leader Conversations”. It was...

Analyze Product not just Marketing: VoC at X Change (Part 4)

There are four areas from our Voice of Customer (VoC) discussion at X Change that I'm highlighting. In the first post, I wrote about...

Survey as a Testing Mechanism: VoC at X Change (Part 3)

There are four areas from our Voice of Customer (VoC) discussion at X Change that I'm highlighting. In the first post, I wrote about...

Ask Before, Ask During, Ask After : VoC at X Change (Part 2)

There are four areas from our Voice of Customer (VoC) discussion at X Change that I'm highlighting. In the first post, I wrote about...

Voice of Customer and Product Focused Analytics: More Thoughts from X Change

No area of analytics is as underserved in the enterprise as Voice of Customer (VoC). Despite plenty of lip-service to caring about what the...

Data Democratization for the Elite: Thoughts from X Change

When you look at the evolution of digital measurement in the enterprise and study organizations that have achieved a significant degree of maturity, you’ll...

An Analytics Journey

“Where are we going?” is one of those questions that seem essential to our human way of thinking. Immediately followed, of course, by the...

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