Managing your Data with Heroku - 27 February 2014

Make the most of your data

27th February 2014

How Heroku can help

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Introduction

Data – it’s an issue

Solution Patterns

Heroku

Business Cases

Agenda

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DEVELOPERCERTIFIED

SALES CLOUDCERTIFIED256 SALESFORCE

CERTIFICATIONS

at a glanceTquila by the numbers

19NATIVELANGUAGES

3435 SERVICE CLOUDCERTIFIED 82

+311%REVENUE GROWTH2011/2012

200EMPLOYEESGLOBALLY

4KEY GEOGRAPHIES: UK,GERMANY, INDIA & JAPAN

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why we’re different

OUR COMPANY

MARKETING CLOUDCERTIFIED

1 of 3MVPs IN THE UK

2 of 7CERTIFIED TAs IN EMEA

230+MAN-YEARS OF SALESFORCE EXPERIENCE

ONLY SALESFORCE PRODUCT DEVELOPMENT PARTNER IN EMEA

TQUILA LABSWE’VE DEVELOPED LOW-RISK, LOW-COST ACCELERATORS

UXONLY PURE-PLAY SALESFORCE COMPANY WITH A DEDICATED USER EXPERIENCE TEAM

TECHNICAL LEADERSHIP

SALESFORCE PLATINUM PARTNER SINCE THE PROGRAMME LAUNCHED

HEROKU PLATINUM PARTNER

10%SALESFORCE OWNED

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The data issueData is bigger than ever

Too Much Data

Data not valued

No Analysis

Buzz word attack

Big Data

Big Analytics

Master Data Management

Big Data: $18b (wikibon)

Big Analytics: $13n (Gartner)

Master Data Management : $1.6b (Gartner)

Cool Buzz, but what can I do with all those big words ????

Big Data

RecommendationBig Analytics

Master Data Management

Big Data

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It’s easy to get lost

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The data issueMost of the time we face

Unmanageable data diversity

Data spread between multiple sources

No consolidation point

Inability to visualise and value data

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The vision

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Solution patternsYour data sources could be as diverse as:

• Customers transactions• Network logs• GPS Data• Social posts

They could be structured or unstructured

Data source diversity

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Solution patternsData is spread across systems. You need to integrate them whatever access you have:• SQL and NoSQL• API• Files

And transform them before being able to use them

Data integration

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Data integration

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Solution patterns Data must be aggregated before being analyzed, understood or shared

That’s usually the purpose of data warehouses but they are known to be hard to build and maintain

Data warehousing

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Data warehousing

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Solution patterns Enter the Big Data era with Cloud and On-demand solutions based on Heroku

Transform raw unstructured data into actionable insights

Make informed decisions that will help grow your business

Understand customers/partners/employees and service them better

Data science / analytics

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Data science / analytics

Heroku Heroku provides a polyglot cloud application platform as a service (PaaS) for building, deploying, and running apps.

Heroku’s platform lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.

In few words

*pol·y·glot [pol-ee-glot]adjective1. able to speak or write several languages; multilingual.2. containing, composed of, or written in several languages: a polyglot Bible.

HerokuWhat is a Cloud App ?

Database App Server

Load Balancing

Salesforce integration

Compute Storage Network

Cloud App

Virtualization

You

ADDONS ECOSYSTEM

HerokuA vivid ecosystem

• Video encoding• PDF generator• Image

transformation

MEDIADATA STORE

• Redis• MySQL• MongoDB• Treasure Data

SERVICES

• Mass mailing• SMS platform• Payment gateway

ADMIN

• Load testing• Performance

monitoring• Continuous

integration

Heroku Addons is a market place such as AppExchange where providers offer on-demand services to be plugged right into any Heroku application.

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Business CasesTquila Search is a Java Based Enterprise Search solution that can be integrated into any Salesforce organisation. It is a middleware application that integrates with your Salesforce solution to seamlessly handle indexing and search of business-relevant data.

Tquila Search

• 500k profiles

• PDF, Doc Resumes indexation

• Linkedin API

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Business CasesTquila Search

• 300k profiles

• PDF, Doc• Geolocalized• Linkedin API

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Use CasesTquila Hadoop

• Social Network mining• Personalized pricing• Recommendation Engine• Customer profiling• Stock Forecast• Marketing campaign outcome analysis• And more …

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Use CasesTquila Hadoop

Big Data analysis flow:• Create workers to aggregate data• Transform your data• Create Query Jobs• Perform statistical analysis• Use Shiny to share visual analysis

outcome

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To SummariseIt’s all about your flow of Data:• Collecting• Exchanging• Sharing• Nurturing• Qualifying• Storing• Analyzing• …

It might look simple but it’s always more complex than it seems

Using Heroku, you can hide the complexity, focus on your Data and not on the underlying technologies.

We can all use our data better

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From complexity to simplicity

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thankyou Contact us:

enquiries@tquila.com

+44 203 429 1300

www.tquila.com

@tquiladotcom