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Requirement Understanding & Scope Of Work

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No change is required to be done in the logical data model of in scope data marts The as-is data model with the existing data structure & data will be forklifted into Teradata No code d he forklift Informatica data into the

existing da he Target Teradata s c

Ongoing e on implement

Fox will en and Teradata. Any data p Teradata is

not consid Migration o scripts are

assumed t ce NOT included in

Impact due Impact due onsidered. All DBA re ated such as

DB optimization, query tuning are NOT in scope The existing naming conventions will be retained as such. ETL & test strategy emphasis will be on Oracle target to Teradata target tables

comparison/validation. Required development and testing environments will be provided by Fox Details on application interdependencies & impact on downstream systems will be provided

by Fox

Key Assumptions & Dependencies

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Best Practices -Samples

Planned POC prior to identifying compatible software versions i.e. ETL Tool and Teradata.

Conduct d processed in Teradata.

Identify so can process delimited f

Plan strate s are not impacted.

Define Stra mplexities and volum

Conduct p Identify in version). Plan Migra in

Production Propose P g y Establish business user expectations regarding data quality and areas of potential

data mismatches. Automation of SQL*Loaders to Teradata M-LOAD scripts generation. Automation of comparison checks (Oracle tables data vs. Teradata tables data). Automation of Teradata table/view creation from Oracle DDL.

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Case Study # 1 : Key Highlights

Forklift 1600+ ODS tables , 4000+ Tables from the GDW

50 O l 20 G l , 3000+ Data stage

Applications. Target s

3+Data marts ,

GDW in the AS-is state. ds

uts down data

ses (Downstream, EDW ) ,

Optimization Factors

Technologies Data Platform: Oracle (Source), Teradata (Target) Data Integration and Load: IBM Data Stage, ODI, Teradata Utilities BI: Hyperion, OFSA and BO Others: Erwin for Data Modeling, Mercury Quality Center, Control M for Scheduling

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Case Study # 3 : Corporate Active Data Warehouse Leading Insurance Provider In India

Build Decision Support Environment ta for Operational and

nd Marketing nges to the marketing

s development g and Predictive

ss product lines

ences of customers ctions across all touch

Enable arketing and Channel nalytics Market Segmentation and penetration Analysis Performance Analysis of various Channels Improved Targeted Marketing Campaigns

Business and IT ObjectivesLeading life insurance company in India 190+ million Custome 2048 branches and 1 71 pension and group

Customer Profile

Teradata 53XX 20-n Architecture 3 Nodes 540 10 Nodes 54 7 Nodes 550

FSLDM implementat TIBCO Infrastructure

Data Warehousing 5 years of transaction history – 20 TB of raw data 288 MIS and analytical reports using Business Objects

XI Total 7000 users (Named: 3500) with 2500 concurrent

users

Technology

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Case Study # 3 : Wipro Contribution

Turnkey project Managed by Wipro Program Ma Application D

Implement in 3 Phase 1: Bu

Durat ETL fo

Phase 2: Ex Durat Build

etc Phase 3: CA

Durat Build Exten