Big Data: Operational Excellence

Post on 04-Dec-2014

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How can Big Data help to improve the Operational Excellence within your organization. Use Cases, Architecture, and project Approach

Transcript of Big Data: Operational Excellence

Big Data Webinar Series

Big Data Webinar Series

Customer Intimacy & Develop New BusinessCustomer Intimacy & Develop New BusinessMarch 11, 2014

Operational ExcellenceOperational ExcellenceMarch 18, 2014

March 25, 2014

April 1, 2014

April 3, 2014

Big Data in Public ServicesBig Data in Public Services

Big Data in Healthcare & Life SciencesBig Data in Healthcare & Life Sciences

Big Data in Human ResourcesBig Data in Human Resources

Big Data OverviewNew Data

Structured Semi

Not structured

SocialMedia Mobile

Sensor data

Analytics becomes 1-on-1 &

Real-Time

Enables a huge number of ‘new’ or improved

Big Data Applications

Open Data

Analytics becomes 1-on-1 & Real-Time

Business domains

Operational Excellence

Customer Intimacy

New BusinessRisk

Management

RetailBanking/securitiesHealthcareTelecomMedia & entertainmentGovernment UtilitiesInsuranceManufacturingPharmaTransportServices

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Source: Gartner

1-on-1 & Real Time Analytics

• Engines & Gas Turbines for Aircraft & Vessels• 18K components per engine• Real-time capture of Sensor Data

• Temperature, pressure, vibration, speed, location,consumption,…

• 13K+ Aircraft Engines in use

• Data is monitored and Analyzed in Engine Health Monitoring Center

Predictive Analytics Proactive Maintenance(Operational Peace of Mind + Financial Predictability)

Prescriptive Analytics Input for product development next generation engines

(Fuel consumption, CO2-emissions & Noise)

Operational Excellence

Operational Excellence

Operational Excellence

Operational Excellence• Capturing refrigerator, heating & lighting data over period 1 year

(Temperature/Elect. Consumption)• Build KPI’s• Execute on anomalies

• Capture sensor data from Gas Turbines (500Gb/Sensor/Day)• Reveal patterns on when blades brake• Pro-active Maintenance

• Acquiring data from telematics sensors (46K vehicles: speed, direction, braking,…

• Match with On-line Map Data• Reconfiguration of drivers pick-ups & drop-offs

TelcoTelco• Capture log data from cable modems and network devices

(temp./voltage/throughput/…)• Reveal patterns on failure• Pro-active Maintenance

Operational Excellence

Operational Excellence

Operational Excellence

Data Flow Concepts

AnalyzeAnalyzeAcquireAcquire OrganizeOrganize DecideDecide

OLTP Data

RDBMS ETL DWH BI

Data Flow Concepts

AnalyzeAnalyzeAcquireAcquire OrganizeOrganize DecideDecide

RDBMS ETL DWH BI

New Data

OLTP Data

Use Case drives the Data Flows

AnalyzeAnalyzeAcquireAcquire OrganizeOrganize DecideDecide

RDBMS ETL DWH BI

New Data

OLTP Data

Use Case drives the Data Flows

AnalyzeAnalyzeAcquireAcquire OrganizeOrganize DecideDecide

RDBMS ETL

New Data

OLTP Data

Big Data Journey

Cronos Big Data Services Offering

Use Case Discovery Workshop

Big DataAnalytics

Implementation Services

Proof ofConcepts

The role of the Data Scientist

Business Strategy Analyst

Hadoop System

Administrator

Hadoop Developer

Data Architect Data Analyst/Statistician

Identify Business Pains &

demonstrate through

Analytical skills how the

available data can be exploited

on a Strategic Level

Hadoop Cluster installation &

administration.Data Loading

Build the relevant

dataset by cleansing, filtering,

grouping and aggregating

the data using parallel

processing languages like MapReduce

Hive, Pig, Impala,…

ETL tooling, MDM, Data Cleaning & Matching

Integration with Enterprise

ArchitectureData

Governance & Security

Through statistical Analysis,

conceptual and predictive data

modeling, machine learning,…

Discover patterns, trends, insights.

Translate these to Business

Opportunities

Cronos Big Data ReferencesUse Case Discovery Workshop

Proof OfConcept

Implementation Services

Big Data Analytics

Call Center

Healthcare

Utility

Editor

Telco

ISV

Media

Transport

Manufacturing & Distribution

Online Gaming

Clever usage of datato make better decisions

Clever usage of datato make better decisions

Conclusions

Contact: matthias.vallaey@cronos.be`+32 496 57 66 27