mongodb iot city tour eindhoven: analysing the internet of things: davy nys, pentaho

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Davy NysVP, EMEA & APAC

@davynys

September 2014

Internet of Things

Analytics

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So what’s Internet of Things

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Two key pressure points are disrupting the traditional analytics market

On the road to the modern big data driven enterprise

Effectively Administer, Manage &

Deploy

Easily Interact, Visualize &

Explore

Blend Data for Comprehensive

ViewDifferent

Audiences Different Needs

Business ManagersBusiness AnalystsData ScientistsAdminsIT

Escalating Need for New Data

Types

Escalating Need for New Data

Types

Velocity, Volume, Variety, Value

Next Wave of Self-Service

Analytics

Next Wave of Self-Service

Analytics

Beyond Business Analysts

Near “real-time” or Process Driven

Analytics

Near “real-time” or Process Driven

Analytics

Data in motion

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ANY Analytics•Reports•Dashboards•Visualizations•Discovery•Predictive•Any role

Analytics

ANY Environment•Data warehouses•Data marts•Stack vendors•Cloud•Embedded

Existing & New Data

Infrastructure & Processes

ANY Data•Relational•Operational•Big Data•Data sources not yet anticipated

Billing

Location

Social Media

Customer

Web

Network

OUR VISION

The New Reality: Powerful yet simplified analytics for all users

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Apply the right data source and processing for the right type of analytics

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Improve operational effectivenessMachines/sensors: predict failures, network attacks

Financial risk management: reduce fraud, increase security

Reduce data warehouse cost

Improve customer experienceBuild a 360◦ view to fully understand and serve the customer

Drive personalized and adjusted interaction

Use automated recommendations logic

Drive incremental revenuePredict customer behavior across all channels

Understand and monetize customer behavior

Begin to monetize data as a service

Emerging big data use cases demand blending multiple data sources

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Mixed architecture

Analytics

Location

Sensor

Social Media

Network

ExistingProcessor PDI

HadoopCluster

NoSQL

PDI

Analytic DB

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•Modelling vs Execution

•Let the data speak!

•Operationalise

Advanced AnalyticsPredictive & Data mining

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The most powerful insights come from blending data on-demand and at the source

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Blending brings the two worlds togetherEvolving big data architectures

PDI

Existing ETL Tool

or PDIEDW Data

Marts

Analytics

ExistingETL Tool

or PDI

Customer

Provisioning

Billing

BI Tools

Location

Sensor

Social Media

Network

ExistingProcessor PDI

HadoopCluster

NoSQL

PDI

Analytic DB

On-Demand Integration & Blending

5.0

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360 ViewsCustomer, Patient, Partner, Citizen…Criminal

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Plan for agility, flexibility and near real-time

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UsersReporting, Analyses,

Dashboards

Customer & Account

Data

Ratings Data

Transaction and Financial

Data

Legacy Transaction and

Server Data

PDI

Extract Transform ReportScalable and flexible data presentation

• Extract Transform Report patterns are massively flexible due to the absence of data warehouse or data mart schemas.

• Can utilize flexible schema NoSQL databases such as MongoDB

• Transformation processing power can grow independently of storage and query processing requirements

PDI

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Example - Customer 360° ViewFrom Buying Patterns to Revenue

Pentaho Benefits•Operationalize data to measure and improve business outcomes for clients

•Improved end-user satisfaction with data rich dashboards and enhanced analytical capabilities

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From Buying Patterns to Revenue

Server and System Data

Mobile Transactions

Machine Data form Mobile

Network Usage Data

Customer Demographics

PDI

Billing and Accounts

PDI

PDI

Business Analytics

Server

Business User (CFO, CMO)

Dashboards and Reporting on KPIs

Multi-tenancy Support

Single Sign-on

End-User Real-time Analytics

on customer behavior and mobile use

Example - Customer 360° View

Key Value Store

Document Store Database

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Extract Transform Report delivers a number of significant business benefits•Greater Agility

• Less moving parts – Less design - Lower cost to develop• Lower change overhead - Reduced time to value

•Greater flexibility• Reduced governance, planning and maintenance = lower TCO• Better access to data = better business insight = better decisions• No standards

•Real Time• Zero loss of insight from waiting for data warehouse changes to

mirror transactional systems• Direct access to transactional systems or replica sets

Extract Transform ReportFundamentally different

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WHAT WE BELIEVE

Internet of Things

Apply the right data source and processing for the right type of analytics

1The most powerful insights come from blending data on demand and at the source

2Plan for agility, flexibility and near real-time

3

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EntryAdvanced

A Spectrum of Big Data Use CasesWhat the Market is Deploying Today and Planning for Tomorrow

Data Warehouse Optimization

Streamlined Data

Refinery

Big Data Exploration

Customer 360 Degree

View

Harnessing Machine &

Sensor Data

Next Generation Applications

Internal Big Data as a Service

On-Demand Big Data Blending

Big Data Predictive Analytics

Use Case Complexity

Monetize My Data

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DBA/ETL/BI DEVELOPER BUSINESS USER BUSINESS/DATA ANALYST

ANY ANALYTICS

ANYDATA

ANY ENVIRONMENT

An architecture for any future, analytics for any data

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A future-proof data foundation

Big data blended without barriers

Powerful analytics simplified for any role

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Thank You

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