visbility at the edge - deep insights from your api

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Visibility at the Edge Deep Insights from your APIs 03.01.12 @ 11:05 PST VOIP or Dial-in (see chat) Anant Jhingran @jhingran Brian Pagano @brianpagano groups.google.com/group/ api-craft

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We Will Discuss » - Organizational and technical challenges of turning big data into valuable business insights - Should you collect as much data as you can and worry about analyzing it later? - Recommendations for enterprises to navigate the guardians and pitfalls of the data landscape

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Page 1: Visbility at the Edge - Deep Insights from Your API

Visibility at the Edge – Deep Insights from your APIs03.01.12 @ 11:05 PSTVOIP or Dial-in (see chat)

Anant Jhingran @jhingranBrian Pagano @brianpagano

groups.google.com/group/api-craft

Page 2: Visbility at the Edge - Deep Insights from Your API

Your hosts

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@jhingran @brianpagano

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groups.google.com/group/api-craft

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youtube.com/apigee

Page 6: Visbility at the Edge - Deep Insights from Your API

Visibility at the Edge – Deep Insights from your APIs

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What do you mean by visibility at the edge?

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Clearly, to get such visibility, we have to collect lots of data.

Before we go to the data part of it, can you give examples of what such visibility might tell us?

Page 9: Visbility at the Edge - Deep Insights from Your API

App Developer

How are my apps performing?

How can I see across all APIs I’m using?

Ops

What is the response time per request?

Do I need to allocate more resources at peak times?

Business Owner

What bottom-line impact are APIs having in my business?

How should I invest in my API strategy for the greatest return?

API Value Chain

How is my API adoption?

How can I improve my API?

How do the APIs we consume impact our business?

API Team

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Good examples.

What’s needed to make this happen?

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data from the APIs

analytics that model and predict the business and operational metrics

Q: Can you elaborate on data that adds context?

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360° Data View Creates Business Insights

Insights

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API Data + Context Data

Does this combination lead us to a BIG DATA solution?

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It is one thing to keep all the data, it is quite another to gain insights from it.

I have seen many examples of enterprises saying . . . let's first store it, we'll worry about its uses later.

Is that a good strategy?

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This sounds frightfully difficult.

Are there some easy onramps to this?

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It is one thing to run beautiful analytics on the data.

Is that sufficient to affect the business?

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Data + Analytics + People Insights

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What are the organizational challenges in succeeding here ?

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THANK YOUQuestions and ideas to:

@jhingran@brianpagano

groups.google.com/group/api-craft