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Apigee Insights
Anant Jhingran
@jhingran
Agenda

• What’s new in the world of Digital Transformation – change and context
• New analytics capabilities needed to address this changing world
• Agility in Analytical Process
• Insights Architecture
• Insights Services

© 2013 Apigee Corp. All Rights Reserved

2
What’s New

3
Self-Optimizing Digital Business

Optimize your digital business
by making
every customer interaction smarter
across every digital channel,

API

in real time,
using all
relevant contextual business insights
© 2013 Apigee Corp. All Rights Reserved

API

API

API
SelfYour
Optimizing
Digital
Digital
Assets
Business

4
Pace of change is increasing
• After an initial startup, we saw > 1 new API every 10 days

• After 150 days, we observed slowdown in less than 10% of organizations

• Median number of APIs per organization: 14

© 2013 Apigee Corp. All Rights Reserved

5
Data Modeling is dead, so is ETL

© 2013 Apigee Corp. All Rights Reserved

6
New rapidly changing contextual signals occur

User

Developer

Time

Location

© 2013 Apigee Corp. All Rights Reserved

7
Need for a new Big Data Platform

Apigee Insights
All Channels
User
Engagement

Apigee
Edge

Developer
Adoption

Correlations
Conversions
Segmentation
Anomalies
Time Series

All Backends
© 2013 Apigee Corp. All Rights Reserved

API
Information

8

External
and
Internal
Context
Business and Technical Problems

9
Contextual Business Insights

Business
Growth

Developer
Adoption

© 2013 Apigee Corp. All Rights Reserved

User
Engagement

API
Information

10
Sporting Events and Beer Consumption in AU
Adjust on-hand stock of beer (by brand and packaging) for each type of sporting event

2008 Rugby World Cup

2008 Summer
Olympics

© 2013 Apigee Corp. All Rights Reserved

11
User Shopping Behavior
Send personalized offers to at-risk customers based on online, mobile, and offline interactions

/storelocator

/product
/search
/buy

/findinstore

< 3 days
< 1 day

© 2013 Apigee Corp. All Rights Reserved

12
Speeding up the Analytical Process

13
Speed up delivery of business insights

Collect

Act

CAVA

Visualize

© 2013 Apigee Corp. All Rights Reserved

14

Analyze
Collect and Act faster
External
Context

Action

Apigee
Insights
Internal
Context

All Digital
Channels
App Analytics

Apigee
Edge

Developer
Analytics

Data
API Analytics
© 2013 Apigee Corp. All Rights Reserved

15

15
Analyze faster: Abstractions

Speed of Delivery

Turnkey Solution

Entities, Events & Analytics
Libraries

Map/Reduce

File System
Flexibility
© 2013 Apigee Corp. All Rights Reserved

16
Analyze faster: Widely used technologies
Easy access to skills (Javascript) accelerate development time

© 2013 Apigee Corp. All Rights Reserved

17
Analyze faster: Configuration, not code

© 2013 Apigee Corp. All Rights Reserved

18
Architecture

19
Insights: Architectural Components

Visualization Engine

Configuration Engine

Apigee Edge
Pre-Built
Connectors

JavaScript Engine

Core Execution Engine and Analytics Libraries
API
Entities and Events Collection Engine

Big Data Stack

© 2013 Apigee Corp. All Rights Reserved

20
Demo: Retail Personalization

Apigee
Insights

External
Context

Action

Data
Internal
Context

© 2013 Apigee Corp. All Rights Reserved

All Digital
Channels

21
Demo

22
Insights Services

23
Engagement Workflow

Kickoff

© 2013 Apigee Corp. All Rights Reserved

Data

Analysis

24

Readout

Insights
Analysis Process
Take core findings through multiple dimensions to deliver hidden insights

Data

Sessions

MapReduce

Service, Errors, T
ime, APIs, Status
, etc.

Raw customer
data

© 2013 Apigee Corp. All Rights Reserved

25

Insights
Thank you

26
Appendix

27
Apigee Digital Business Platform

Insights
Big Data
Mobile

Point of Sale

Edge

ESB, SOA,
App Servers,
Databases

Apps, APIs, Analytics
Partner

Backend Services

Web
Apps
© 2013 Apigee Corp. All Rights Reserved

Exchange
API Networks
Data Science Engagement Workflow
• Work with the customer to understand
– What data they have available and its schema
– Their technical and business goals (successes, failures, metrics, etc.)
– Determine if there are other relevant external data sets

• Obtain a set of historical data for POC
– Load the data into a platform instance on AWS using the bulk file importer
• Data files are staged in S3
• Currently support csv, web log formats but can add easily add others
• Files are stored in HDFS

– Data can be loaded into HDFS either
• As time series (time stamp with an event payload)
• Or as entities (a unique identifier plus relevant characteristics)

© 2013 Apigee Corp. All Rights Reserved

29
Data Science Engagement Workflow
• View data samples in a Series Manager UI
• Run MapReduce jobs in javascript (UI or via app specification)
• Common jobs:
– Aggregation – group the data in time and by dimensions
– Sessionization – group the data per end user interaction
– Bringing in context (joins with other data sets)

• Results can be written as
– Time series
– Entities
– As a final result in JSON

• Final results can be downloaded via a REST API:
– /jobs/{jobId}/{runId}/results

© 2013 Apigee Corp. All Rights Reserved

30
Data Science Engagement Workflow
• Final results can be visualized in Excel or any other plotting program
• For each analysis, we identify a result and an action or recommendation based upon the
result
• Periodic update reports are given to the customer

© 2013 Apigee Corp. All Rights Reserved

31

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Apigee Insights: Data & Context-Driven Actions

  • 2. Agenda • What’s new in the world of Digital Transformation – change and context • New analytics capabilities needed to address this changing world • Agility in Analytical Process • Insights Architecture • Insights Services © 2013 Apigee Corp. All Rights Reserved 2
  • 4. Self-Optimizing Digital Business Optimize your digital business by making every customer interaction smarter across every digital channel, API in real time, using all relevant contextual business insights © 2013 Apigee Corp. All Rights Reserved API API API SelfYour Optimizing Digital Digital Assets Business 4
  • 5. Pace of change is increasing • After an initial startup, we saw > 1 new API every 10 days • After 150 days, we observed slowdown in less than 10% of organizations • Median number of APIs per organization: 14 © 2013 Apigee Corp. All Rights Reserved 5
  • 6. Data Modeling is dead, so is ETL © 2013 Apigee Corp. All Rights Reserved 6
  • 7. New rapidly changing contextual signals occur User Developer Time Location © 2013 Apigee Corp. All Rights Reserved 7
  • 8. Need for a new Big Data Platform Apigee Insights All Channels User Engagement Apigee Edge Developer Adoption Correlations Conversions Segmentation Anomalies Time Series All Backends © 2013 Apigee Corp. All Rights Reserved API Information 8 External and Internal Context
  • 10. Contextual Business Insights Business Growth Developer Adoption © 2013 Apigee Corp. All Rights Reserved User Engagement API Information 10
  • 11. Sporting Events and Beer Consumption in AU Adjust on-hand stock of beer (by brand and packaging) for each type of sporting event 2008 Rugby World Cup 2008 Summer Olympics © 2013 Apigee Corp. All Rights Reserved 11
  • 12. User Shopping Behavior Send personalized offers to at-risk customers based on online, mobile, and offline interactions /storelocator /product /search /buy /findinstore < 3 days < 1 day © 2013 Apigee Corp. All Rights Reserved 12
  • 13. Speeding up the Analytical Process 13
  • 14. Speed up delivery of business insights Collect Act CAVA Visualize © 2013 Apigee Corp. All Rights Reserved 14 Analyze
  • 15. Collect and Act faster External Context Action Apigee Insights Internal Context All Digital Channels App Analytics Apigee Edge Developer Analytics Data API Analytics © 2013 Apigee Corp. All Rights Reserved 15 15
  • 16. Analyze faster: Abstractions Speed of Delivery Turnkey Solution Entities, Events & Analytics Libraries Map/Reduce File System Flexibility © 2013 Apigee Corp. All Rights Reserved 16
  • 17. Analyze faster: Widely used technologies Easy access to skills (Javascript) accelerate development time © 2013 Apigee Corp. All Rights Reserved 17
  • 18. Analyze faster: Configuration, not code © 2013 Apigee Corp. All Rights Reserved 18
  • 20. Insights: Architectural Components Visualization Engine Configuration Engine Apigee Edge Pre-Built Connectors JavaScript Engine Core Execution Engine and Analytics Libraries API Entities and Events Collection Engine Big Data Stack © 2013 Apigee Corp. All Rights Reserved 20
  • 21. Demo: Retail Personalization Apigee Insights External Context Action Data Internal Context © 2013 Apigee Corp. All Rights Reserved All Digital Channels 21
  • 24. Engagement Workflow Kickoff © 2013 Apigee Corp. All Rights Reserved Data Analysis 24 Readout Insights
  • 25. Analysis Process Take core findings through multiple dimensions to deliver hidden insights Data Sessions MapReduce Service, Errors, T ime, APIs, Status , etc. Raw customer data © 2013 Apigee Corp. All Rights Reserved 25 Insights
  • 28. Apigee Digital Business Platform Insights Big Data Mobile Point of Sale Edge ESB, SOA, App Servers, Databases Apps, APIs, Analytics Partner Backend Services Web Apps © 2013 Apigee Corp. All Rights Reserved Exchange API Networks
  • 29. Data Science Engagement Workflow • Work with the customer to understand – What data they have available and its schema – Their technical and business goals (successes, failures, metrics, etc.) – Determine if there are other relevant external data sets • Obtain a set of historical data for POC – Load the data into a platform instance on AWS using the bulk file importer • Data files are staged in S3 • Currently support csv, web log formats but can add easily add others • Files are stored in HDFS – Data can be loaded into HDFS either • As time series (time stamp with an event payload) • Or as entities (a unique identifier plus relevant characteristics) © 2013 Apigee Corp. All Rights Reserved 29
  • 30. Data Science Engagement Workflow • View data samples in a Series Manager UI • Run MapReduce jobs in javascript (UI or via app specification) • Common jobs: – Aggregation – group the data in time and by dimensions – Sessionization – group the data per end user interaction – Bringing in context (joins with other data sets) • Results can be written as – Time series – Entities – As a final result in JSON • Final results can be downloaded via a REST API: – /jobs/{jobId}/{runId}/results © 2013 Apigee Corp. All Rights Reserved 30
  • 31. Data Science Engagement Workflow • Final results can be visualized in Excel or any other plotting program • For each analysis, we identify a result and an action or recommendation based upon the result • Periodic update reports are given to the customer © 2013 Apigee Corp. All Rights Reserved 31

Editor's Notes

  • #6: Pace of change is accelerating and will increase even further; need a way to quickly adapt to changing business needs
  • #8: Main Point:Establish our ability to find signals from the noiseScriptInsights can help analyze various external contexts identify signals that drive value. Context comes in many flavors – social, environmental, socio economic, transactional etc.We’re showing examples of 4 contexts hereFor example, when analyzing the user context, we can look at their Facebook activity or Twitter activity or their prior transaction history from an internal systemTransitionWe can use these signals to deliver business insights that help you better understand your business
  • #11: Business GrowthAre our APIs driving business growth? What external factors drive business growth? Do we face a blind spot?What is the demographic profile of our most active users?Developer AdoptionAre we attracting the right developers?What do my developers do outside my API program?How productive are my developers in app creation?User EngagementWhat do my end users do outside my apps?Are we building the right apps? APIs?How can we better serve the needs of our users?API AdoptionWho uses APIs? Which apps? From where?What pieces of data is being used?Are my APIs easy to consume? Do I need to redesign them?
  • #12: The context is Average Beer sales by Week (event series) Sporting Events (event series)The analysis is Time Window based Anomaly Detection
  • #16: Main PointEstablish how Apigee Insights works with Apigee Edge to help you transform into a self-optimizing businessScriptYou currently use Apigee Edge which enables you to establish a digital presence. Apigee Insights takes all the analytics data from Apigee Edge along with relevant contextual data that is both external to your firm or could live in internal systems. Insights thus helps you develop a single view of your customers across all digital channels. It uses that data to deliver business insights that identify opportunities to optimize your business. And it can drive actions through Apigee Edge and all your digital channels to help you optimize every customer interaction across every digital channel in real time. TransitionTBD