LIVE DEMO:

Cloud Native Closed Loop AnalyticsMalik Bilal & Vijay RajagopalPivotal

#PivotalForum #Dubai #DigitalTransformation

Why do we want to analyse event data

•Tell customers about what they want to know–Break the assumption that we only communicate with customers to sell–Push info to customers rather than having them pull it

•Encourage “good” behaviours–Reduced risk–Help customers avoid penalties and fees

•Manage Expectations

“We’ve found that when a host selects a price that’s

within 5% of [our recommendation], they’re nearly 4 times more likely

to get booked”

Why do we want to analyse event data

•Reduce cost to serve–Pull channels often more expensive than push–Better informed customers are less likely to complain

•Learn more about what customers really want to know–Observed preference is a better guide than reported preference

Great software companies leverage Big Data

to fundamentally change the customer experience and pioneer entirely new business models

Traditional Enterprise Analytics Process

Better…

Catch people or things in the act of doing something

and affect the outcome

Closed Loop Analytics

IMDG

StreamProcessing

TraditionalSystems

TraditionalSystems

IMDGBig Data

Time

Value ofInformatio

n

µs ms s hour day month year yr+

What can we say about a data point?

How much $ is this worth? What can we say about its unknown dimensions?

Can I predict its behaviour?

How do I optimize my business with this?

Can we find other points like it?

How can we separate these points?

Like this?

Or this way?

What is it going to do next?

?

Anatomy of a typical Data Pipeline

Source

Pro

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S

tep

Pro

cess

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Ste

p

Pro

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i ng

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Data Data

Monolith

Destination

Data Pipeline

Source Destination

Pro

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tep

Pro

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S

tep

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Pro

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Contract

µService

Contract

µService

Contract

µService

Contract

µService

Contract

µService

Contract

µService

IT’S ABOUT BUILDING A GREAT CULTURE

Picture of Dev Environment of the past. Fills screen.

Your teams can’t look like this…

They need to look like this.

PIVOTAL LABS IS THE ULTIMATE IMMERSIVE EXPERIENCE

Ensuring companies have the modern methodologies and technical capabilities to continuously innovate after the project is over

Areas of Guidance and Coaching

1. Software Engineering

2. Product Management & Design

3. Data Science

Tandem TrainingWorking hands-on with a personal coach to learn new tools and best practices

Strategic ScopingWorking with a transformation lead to identify barriers and implement solutions

Lunch & Learn WorkshopBuilding shared understanding with people throughout the organization

Knowledge Sharing ToolkitSupporting organizational alignment executive retreats, playbooks, and scorecards

Management CoachingCreating tools for managers and teams to support and propagate new ways of working

Data Pipeline

Source Destination

Pro

cess

i ng

S

tep

Pro

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i ng

S

tep

Pro

cess

i ng

S

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Pro

cess

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Scale

Re-deploy

Migrate

Distribute

Upgrade Update

Pivotal Cloud Foundry

Backing Services

Transport Options

Pivotal Cloud Foundry

Auto Scaling

Auto Healing

Aggregated

Logging

Integrated Metrics

Transport Transparency

Infrastructure Transparency

Data Pipeline Visual Design

Integrated Monitoring

IMDG

IMDG

StreamProcessing

TraditionalSystems

TraditionalSystems

Big Data

What are we demonstrating

Time

Value ofInformatio

n

µs ms s hour day month year yr+

What are we demonstrating

IMDG

StreamProcessing

Big Data

Big Data

What are we demonstrating

IMDG

StreamProcessing

Big Data

What are we demonstrating

IMDG

StreamProcessing

Big Data

What are we demonstrating

In Memory Data Grid

StreamProcessing

Big Data

What are we demonstrating

In Memory Data Grid

StreamProcessing

Big Dataand

Analytics

What are we demonstrating

In Memory Data Grid

StreamProcessing

Big Dataand

Analytics

What are we demonstrating

In Memory Data Grid

Stream Processing

Spring CloudData Flow

JSONFilter TransformEnrich

Custom

HTTP

Sample pipeline

Deploy

Pivotal Cloud Foundry

Spring CloudData Flow

f{}

Big Dataand

Analytics

What are we demonstrating

In Memory Data Grid

Stream Processing

Spring CloudData Flow

Catch people or things in the act of doing something

and affect the outcome

BECOMING A DATA-DRIVEN COMPANY…

IS NOT Just about deploying Hadoop

OR How many Data Scientists you have

IT’S ALL ABOUTHOW YOU

OPERATIONALISE YOUR INSIGHTS