What every developer should know about building trustworthy apps
What Should a Developer Do With Data?
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17-Oct-2014 -
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Technology
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Too often as developers we rely on data to guide our decision making when it comes to building product. But, too often there isn’t enough data to tell a coherent story, the data that is available is just too noisy, or there maybe anecdotal evidence that is in direct opposition to the story conveyed by the data. In this talk, Poornima Vijayashanker will provide some strategies for how to make better decisions by weighing data with feedback from customers in order to guide product development.
Transcript of What Should a Developer Do With Data?
Background
• R&D Engineer @ Synopsys
• Founding Engineer @ Mint.com
• Founder & CEO @ BizeeBee
• Founder of Femgineer.com
• Instructor @ Duke University
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BIG DATA
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Not about applications!
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Agenda
• Not enough data
• Noisy data
• Too much data
• Secured data
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Process.
No Data
Lots of
Data
Noisy DataSecured Data
Growth Product Launch
Some CustomersTraction
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No Data or Not Enough?
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User Experience.
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Make it compelling.
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Who’s gonna allow 20-somethings to access their finances?
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1. Build trust.
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2. Make it frictionless.
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3. Delight!
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Privacy.
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Noisy.
Noisy Data
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Process.
No Data
Lots of
Data
Noisy DataSecured Data
Growth Product Launch
Some CustomersTraction
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• Data Streams
• Third-Party Data
• User Actions
Noisy Data
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Parse it. Aggregate it. Mash it up!
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Process.
No Data
Lots of
Data
Noisy DataSecured Data
Growth Product Launch
Some CustomersTraction
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Data.
User data - DB. User data - Analytics.
Application data - Logs.
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Vocal Minority vs. Major Bug?
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Mo’ data, mo’ problems!
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Storage.
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Retrieval.
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Warehouse.
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Distributed computing.
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Limit the set based on frequency.
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Process.
No Data
Lots of
Data
Some DataSecured Data
Growth Product Launch
Some CustomersTraction
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Security - Access Controls.
Employee access. Outsider access.
User access.
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Various Hats
• White Hat
• Black Hat
• Grey Hat
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Responsible Disclosure.
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Responsible Disclosure Details
• Driven by social responsibility
• Hardware and software makers repair vulnerabilities
• e.g. Facebook, Google, Mozilla, and Barracuda Networks
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Review
• Not enough data
• Noisy data
• Too much data
• Secure data
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Additional Resources
• Office Hours
• Online Mentoring
• Courses
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Q&A
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