How to leverage AWS cloud for business intelligence

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In this masterhour presentation you will discover how you can transform your business by making data-driven decisions with Business Intelligence in the AWS cloud.For more info, visit: http://bluepiit.com/

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  • Leveraging Cloud for Business Intelligence

    Presented ByAashu Aggarwal

    www.bluepiit.com

  • Agenda

    01 Business Intelligence

    02 Business Intelligence on Cloud

    03 Pros and Cons

    04 ROI Metrics

    05 On-premise vs Cloud ROI

    06 Running BI on AWS

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  • Business Intelligence

    Set of tools and techniques to get useful information for business analysis purpose.

    Examine historical data and trends to set metrics benchmark.

    Consists of

    ETL Data Warehouses OLAP

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  • www.bluepiit.com

  • Cloud Computing

    01 On Demand

    02 Pool Of Resources

    03 Rapid Provision

    04 Access From Anywhere

    05 Reduced Management Cost

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  • BI in the Cloud

    SaaS PaaS IaaS

    Data Visualization (SAP Business Object etc.)

    Data Analytics (SAP Business Objects,

    Microsoft, LucidEra etc.)

    Performance Management(SAP

    Business Object etc.)

    Data Warehousing (OCO, Panoroma, etc.)

    Data Integration (IBM, etc.)

    Database (Vertica, etc.)

    Hosted BI Platform (Microsoft Azure, SAP

    Business Object etc.)

    Data storage and Processing power

    (Amazon EC2 etc.)

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  • Pros Cons

    Low Setup Cost

    Reliability and Scalability

    Easy Access

    Easy Maintenance

    Flexible

    More Focus on Core activities

    Transfer large data sets

    Geographical Constraints or

    Regulations.

    Limited services by established BI

    vendors.

    Integrating on-premise data with

    cloud components

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  • ROI Metrics

    Financial

    Payback Period Net Present Value Internal Rate of Return

    Non Financial

    Consumer Satisfaction Ratings by Independent Agencies Better Decisions and Time Utilization

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  • Cashflow Calculation Worksheet On Premise Vs On cloud/Hybrid

    Cost Component Year 0 Year 1 Year 2 Year 3 Year 4 Year 5 Year 0 Year 1 Year 2 Year 3 Year 4 Year 5

    Outflow

    Capex-Hardware 140270 122 122 122 0 0 30270 57 57 57 0 0

    Capex-Software 251 56 56 56 0 0 251 56 56 56 0 0

    Capex-Cloud Licenses 0 0 0 0 0 0 66000 66000 66000 66000 0 0

    Capex- IT Services 100 0 0 0 0 0 30 4 4 4 0 0

    Opex-AMC (Annual Maintenance 225 5 5 5 0 0 225 5 5 5 0 0

    Contract) for TCO period 63 3 3 3 0 0 40 0 0 0 0 0

    AMC-Hardware for TCO Period 128 0 0 0 0 0 128 0 0 0 0 0

    Total outflow 141037 186 186 186 0 0 96944 66122 66122 66122 0 0

    Inflow

    Savings 190 102000 102000 102000 0 0 6140 157000 157000 157000 0 0

    Revenue 40 0 0 0 0 0 40 0 0 0 0 0

    Total Inflow 230 102000 102000 102000 0 0 6180 157000 157000 157000 0 0

    Cashflow -140807 101814 101814 101814 0 0 -90764 90878 90878 90878 0 0

    On-Prem vs Cloud based ROI

    Hardware Costs | License Costs | IT Services Costs | Support Costs | Upgrades

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  • ROI Metrics Formula Values (in Years)

    Cloud On Premise

    Payback Period No of years when Total Inflow = Total Outflow 0.99 1.4

    Net Present Value (NPV) The value of future benefits restated in term of todays money $122,941.94 &102,172.14

    Internal Rate of Return (IPR) The benefits restated as an interest rate 85% 13%

    On-Prem vs Cloud based ROI

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  • The world of Reporting

    Information Access

    Enterprise Information

    Performance Management

    The Intelligent, Agile

    Enterprise

    RO

    I($

    )

    Data qualityKPIsreports

    Financial management

    segmentation

    Risk management

    Events detection

    Relationship optimization

    Enterprise dashboard

    Propensity modeling

    ProfitabilityOLAP

    Enterprise data warehouse

    Data martsManual

    spreadsheets

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  • Amazon Web Services

    01 Easy To Use

    02 Flexible

    03 Cost-Effective

    04 Reliable

    05 Scalable and High Performance

    06 Secure

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  • Why run BI on AWS

    01 Managing databases is painful and difficult

    02 SQL databases does not scale well

    03 Difficult to deploy and manage Hadoop

    04 Data warehousing solutions are costly, complex and slow

    05 Streaming data is difficult to capture

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  • Databases Analytics

    RDS

    DynamoDB

    RedShift

    ElastiCache

    EMR

    Kinesis

    Machine Learning

    Quicksight

    Elastic search

    Data Pipe Line

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  • Work Flow

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    Kinesis

    Streams ClusterEMR

    Engine

    Redshift

    RDS

    0

    2

    4

    6

    Series 1 Series 2 Series 3

  • Thank Youwww.bluepiit.com

    Contact for further details at [email protected]