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Building Data Products
Created 9 years ago in Product & Design / Lean Startup

I advise and guide companies on data strategy and building data products - ranging from product design to data science and architecture.
The norm, especially for digital/data native users has become personalized experience, low friction, and a light weight flow to getting things done. This is true for users playing a game, doing their taxes, or for 3rd party developers using your APIs to build apps. To mind-meld with your users you need:
-- a constant data / feedback flow
-- frequent experimentation and adaptation, keeping a pulse on how the world changes
-- creating deeply personalized experiences
-- envisioning product features that are rooted in data (1st and 3rd party)
-- thinking data first (when you have that luxury), before any line of code has been written
Previously, I've designed and built data products in various verticals from financial services to social networking at IBM, Siemens, BlueKai, Level Up Analytics (and its many clients), and Intuit.
If you find you need advice and guidance in any of the areas above, I'm happy to help.
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Lucian Lita
Sunnyvale, CA
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I advise companies (startups and large organizations alike) with their data strategy, their data strategy (product, instrumentation, machine learning / AI), as well as auditing and designing their data architecture, data products, data science and analytics, and big data / distributed real time systems. I love to build high performance technical teams, focused on delivering on product and platform and I can help you do the same in engineering, data science, and product. I also provide practical leadership advice on turning around large technical organizations, changing culture, and managing significant change, while building momentum and continuing to deliver.
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