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Zach Gemignani

Chief Executive Officer at Juice Analytics

CEO/Founder of Juice Analytics. Author of Data Fluency: Empowering Your Organization with Effective Data Communication http://amzn.to/1rkCMyX

Highlights

Aug 5 · linkedin

“Why won't customers use the dashboard?” This question is so common it has become a cliche.

Frequently the answer is that the customer-facing reporting or dashboard was not treated like a product. Basic questions were missed in the rush to make the data available: What are my users pain points? How do we make their life better? The essential elements to a good data product aren’t a huge mystery. But they do take an empathetic, customer-focused perspective that is often lacking. Here are some of my key lessons:

Lesson 1: Apps, not Dashboards. Multiple, small, focused data products are better than one comprehensive solution that tries to do too much. Many companies launch an “analytics dashboard” or “self-service portal” that is design to answer any and all questions. Of course it doesn’t, and is more confusing than useful.

Lesson 2: Form Follows Function: A data product should be delivered and experienced by different audiences in different ways. For example, an executive audience is more interested in summarized insights delivered in static formats (PDF, PPT). Whereas analytical audiences may want an interactive, exploratory solution.

Lesson 3: The Goal is Insights. To paraphrase James Carville, “It’s the Insights, Stupid!” The data, visualizations, dashboard…these are all vehicles to find and deliver useful insights. How are you guiding people to find insights, then share and act on those insights?

Lesson 4: Lead with Actions. For many years, we designed analytical solutions that assumed users will drill into the data to find the information that was most relevant to them in the moment. It isn’t always the right starting point. If possible, lead with the To Dos or Actions.

Lesson 5: The Right Starting Points. Initial settings and personalization are powerful tools in your design toolbox. A remarkable number of data product users (we’ve watched a lot videos of user behavior) will not click on anything to customize the views of the data.

Lesson 6: Data Wrapped in Context. A data product needs to do much more than present data. It needs to explain the scope and purpose of the solution, guide the users through the experience, and provide help. Our solutions use images and text to put the data in context.

Lesson 7: Secondary Audiences. Data product serve more than the direct users. The information in your product needs to travel to secondary audiences who may impact decisions. How can you ensure insights can get shared more broadly?

Lesson 8: Selling is priority #1. This is comfortable territory for many data people. However, as creators of data products, we need to think about how to support the sales team, clarify the value points for customers, and deliver a premium, differentiated product.

Lesson 9: Iterate on Feedback. A data product should be its least-good version on initial release. As you start to get (paying) customer feedback, you’ll learn more about what customers really want.

Jul 8 · linkedin

Once there was a data visualization professional who worried that translating data into intuitive visuals wasn’t enough to make him relevant. Too often, the villagers gave him slyly-condescending compliments like: “We love how you make data pretty.”

The Data Visualizer sat on a tree stump deep in the woods and thought, How can I be more than a ‘drawer of pictures’? A picture was worth a thousand words…but the saying offers nothing about how those thousand words change how people think. Dispirited, his gaze wandered to a fallen apple nearby, his mind wandered to the story of Sir Isaac Newton’s discovery of gravity.

“Eureka!” he exclaimed, “when you tell a story, you shape a myth. And when you shape a myth, you transform how people think. I’ll be a storyteller. My charts will be data stories, and my presentations will have powerful narrative arcs.”

The Data Visualizer — reborn a Data Storyteller — leapt off the stump and raced down the wooded path in the direction of his laptop.

And so it was that data visualization became data storytelling, and everything and nothing changed.

...the rest of the story: https://lnkd.in/eiu9eZPt

Zach Gemignani
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Experience

Senior Manager at Aol
Senior Manager at Diamond Management & Technology Consultants

Education

Master Of Business Administration, University Of Virginia Darden School Of Business
Bachelor Of Arts In Economics, Haverford College
Master Of Business Administration In Business, University Of Virginia Darden School Of Business

Location

Nashville, Tennessee, United States