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Clarity

Monica Rogati

Sunnyvale, CA

NOT TAKING CALLS AT THE MOMENT -- BUSY W/ EXISTING CLIENTS.
I help companies with their data products; technical and strategic executive advisor.

Former VP of Data at Jawbone (built their data team, data infrastructure & data products); early LinkedIn data scientist (recommender systems, data stories). CS PhD from Carnegie Mellon (applied machine learning, text mining).

Equity partner at the Data Collective VC (technical due diligence & deal sourcing).

$10.00/min

3 Calls

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28 minutes
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Big Data Data Science Machine Learning Infrastructure Data Mining

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Data Strategy

Increasingly data is the most valuable kind of intellectual property -- even more valuable than trademarks, trade secrets, and patents. But data is a complex asset. I’m here to help you manage it, addressing questions like these:

I have some data. What should I do with it?
I have some data and I know what I want to do with it. Where do I start?
Big data, machine learning, data science -- I see lots of hype and buzzwords and vendors, but what does it really mean for me and my company?
How should my data pipeline look like?
What other data should I be collecting and why?
How do I monetize my data? Are there engagement and privacy implications?
I’m a startup for data scientists. Can you give me feedback on my product?
What other data sets should I bring in to augment my own data?
I’d like your opinion on this wearable/ IoT thing/ data thing we’re thinking about.

Building Data Products

What are data products and why should I care?
I want to build a recommender system. Can you help me design the backend, data pipeline and UX?
I want to build some data products one day. What should I be tracking now so I’m ready when the time comes?
How do I design the best user interaction for my data product?
What metrics should I measure and optimize for my data product?
How do I design a scalable backend for my data? What technologies should I use and why?
Can you look at my data product prototype and make recommendations to improve it?
How do I detect and correct data quality issues?

Finding Stories in the Data

Why should I try to find stories in my data?
I have some data. Let’s brainstorm what stories we could find in it!
How do I prep my data so we can dig into it? How do I detect and correct data quality issues?
Can you sit down with my data science team and dig into my data to find cool stories? Can you teach them how to do it?
My data is pretty sensitive, can I still find interesting things I can share with the world?
How do I visualize the stories I found?
When do I involve our PR team? What reporters and outlets should I contact? What’s my data comms strategy?
Where else can I use the stories I found in my data?

Building a Data Science Team

Having data is only the first step. You need a data science team that extracts the value from that data and collaborates effectively with the rest of your organization. I can help you build that team, addressing questions like these:
How do I build a data science team? Where & how does it fit in my org?
Where do I find data scientists? How do I attract them?
Given my company and goals, what should I look for in a data scientist?
Do I need data scientists or engineers? What’s the difference?
Can you interview my data scientist, data engineer and data leadership candidates?
How do I interview my data scientist, data engineer and data leadership candidates?
How do I transition into a career in data science?
How do I write a good data science/engineer job description?

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Member since February 2016