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Cognizant Test Data Management Quality Engineering & Assurance.

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Presentation on theme: "Cognizant Test Data Management Quality Engineering & Assurance."— Presentation transcript:

1 Cognizant Test Data Management Quality Engineering & Assurance

2 Test Data Management (TDM) – Business Drivers
Reduce CAPEX/OPEX Data Protection, Regulatory Compliance E2E Data Integrity across interfaces Improve efficiency through data reuse BUSINESS RISK QUALITY COST TIME TO MARKET $5.4 Mn 67% $100,000 Per Hour 30% Impact of TDM Failure Cost of Data Breach, besides unquantifiable loss of reputation (Source: Ponemon) Applications impacted due to the absence of proper test data (Survey of IT Practitioners) Average loss for organizations on downtimes due to improper TDM (Source: Gartner) Time spent over and above planned testing times by testers to resolve data-related defects (Source: Gartner)

3 Complex Ecosystem Needs Multi-dimensional TDM Solution
Industry Challenges Organizations Have Overloaded Test Envs. Organizations Face Challenges in Fetching ‘just enough data’ from Production 31% Defects due to incorrect data Production Organizations Struggle to Maintain Test Data with Referential Integrity across Interfaces Gold Copy 45% Test Envs Delayed Data setup ! 64% 63% Organizations Have Instances of Sensitive Data Exposed In Test Env. 60% QA Impact Insufficient data & Coverage Organizations Face Challenges in Synthetically Generating Data 46% High TDM efforts Organizations have challenges with the knowledge on Data Models, Relationships & Constraints Complex Ecosystem Needs Multi-dimensional TDM Solution Source: Cognizant & Informatica Joint Survey 2013

4 Best In Class Solution Statistical Analysis of Production Patterns, Tool-based Ref-Integrity Load ‘Enough & Adequate Data’ for all Applications Optimization Minimize delays , Real time notifications SLA-based Services Fit-for-use Data Production Gold Copy Subsetting Test Envs On-time data availability Integrated Workflow, KPIs Masking Search/ Reserve Data Privacy & Regulatory Compliance, Ref-Integrity of Masked Data, Profiling Generation QA Impact Reuse vs Create, Avoid data overrides, Min. Coordination Efforts 100% Coverage On Demand Data Generation for New Features/Applications, Production-like Volumes for NFT Knowledge Base Optimal TDM efforts Tool-based Repository, Central Administration, Consistency of Rules & Relationships TDM Solution – Implementation Involves Complexity!

5 Best In Class Solution – In Action
Production Gold Copy Test Environment Masking Subsetting Generation Optimization & Coverage A Major US Healthcare Provider A Large Insurance Provider US-Based Life Sciences Customer US Based Retail Customer The Need Sensitive EDI 837 Data to be Desensitized in same format. PII & PHI Components The Need Reducing the data storage costs The Need Simulated Data needed on 11th hr for Integration Test The Need Improvisation of QA Coverage Challenges Semi-structured EDI format (No Direct Support) Building Custom Algorithms Challenges Legacy – AS400 42,000+ Tables 877M+ records No Ref-Integrity at DB Challenges 32M Records needed in just a few days. Generated Data to comply with Complex Rules Challenges Data on Social N/W Sites Quick Turnaround time Major US Healthcare Provider Clinical Information Exchange Solutions Solution Solution Data Subsetting Parameterized Filters Solution Solution 1.7Million Tweets Extracted Analytics with Domain SME Custom Shell-based Soln. Coupled with IBM Optim, DB2, Federation Server On Demand Test Data Generation with Ref-Integrity 70 100% 80% 100% Missing Scenarios Identified Data Privacy Space Reduction Test Coverage

6 Implementation Complexity
Data Segregation by usage, Impact Analysis – Future Releases Identifying Driver Tables, Cyclic Relationships, Filter Criteria vs Space Reduction Target Optimization Production Platform Compatibility, Current State Maturity, Gold Copy Subsetting Test Env. Integrated Workflow, KPIs Masking Search/ Reserve Breach while Masking, Ref-Integrity, Custom Algorithms, Sensitive Elements Identification Generation QA Teams Change Management (Rules, Tables/Columns), Coordination with Data Refresh Data Generation Loads Distribution of Patterns, Reference Data Setup, Complex Business Rules, High Volume Capability Knowledge Base TDM User-view, Source of Knowledge, Objective Prioritization ‘Best in Class Solution’ Implementation Demands Process Depth & Tools Expertise

7 Cognizant’s Advisory Services
Key Objectives A Strategy for End-to-End TDM Right Tools & Techniques Implementation Support Assess where your Organization stands today Help you define what you need further Support you to Plan on when to do what Configure/ Build/ Refine relevant Assets/Tools Implement & Improve Maturity Assessment Define Plan & Analyze Configure & Pilot Execute & Maintain Stakeholder Discussions, Artifact Reviews, Gap Analysis, Roadmap Define Masking/ Refresh Policies, SDLC Integration Risk-mitigation, Impact Analysis, Tool Procurement plan Job Scheduling, Data Provisioning, Continuous Improvements Activities Configurations/ POCs, Tools A UK-based Banking Group TDM Transformation 51,000+ Data Elements Provisioned per year of Data with Homogeneous Technology Stack - Unisys, DB2, Oracle, Vision+, Flat Files Increase in productivity due to capability upliftment 8 TB 29% $ 2.8 Mn Annual Cost savings due to Automation & Innovation

8 TDM Managed Services PROD Pre-Prod Gold Copy Test Envs Env
Regulatory Compliances – SOX, HIPAA, PCI DSS, FISMA, GLBA < < Enterprise Test Data Strategy > > Enterprise Data/ Security Policy Change Mgmt. Release Mgmt. QA UAT Dev Team Env Mgmt. PROD Search/ Reserve Data Requests Data Output TDM SLAs, KPIs Test Data Quality Test Data Turnaround Time Env Avaiblaity TDR Quality… Pre-Prod Gold Copy Test Envs Test Data Provisioning Masking Subsetting Generation Optimization Strategic/One-off/On-Demand Activities Transactional/ Recursive/BAU Activities TDM Core Components Tool Selection Tool Integration Data Reuse Masking Engine Subsetting Engine Generation Engine Data Isolation Tool Configuration Archival/ Refresh Audit Reports Optimization Engine Validation Engine Version Control Data Profiling Knowledge – Interfaces, DB Arch TDM Methodology, Templates Env TDM Service TDM Scope TDM Interface Integrated Workflow, Incident Mgmt.

9 Why Cognizant? Quick Takes Experience IPs and Assets Tools Expertise
65+ Clients Across Industries Dedicated TDM Practice Global Presence 400+ TDM Specialists TD Maxim Flexible Framework for Handling Semi-structured Data DataGen - For Synthetic Data Needs Value Delivered Thought Leadership Alliances 100 %Data Privacy For EDI 837 Data 70% Faster Data Provisioning 65% Reduction In Cost Per Data Informatica' s COTS ‘Test Data Generator’ powered by Cognizant IP Transforming Test Data Management For Increased Business Value[Read more] Alliance Partner, 2013 Innovation Award , 2013 Quick Takes Leading Retail Customer E2E Integrity & Provisioning Major Utilities Customer Multi-cycle, Multi-environment Reusable Data 75% Reduction in Data Provisioning time Heterogeneous Environment, Multi hierarchy product DB Data Migration of ~6Mn records with 320 validation rules 80% reduction in Cycle Time with Automation

10 TD MAXIMTM – The Partnership
Data Validation Versatile Connectivity Mainframe & Mid range Messaging & Web services Relational & Flat files Unstructured Data & Files (PDF, Word etc.) Packaged Applications (JD Edwards, SAP NW etc.) XML Standards Social Media Data Subset Data Archival Services Persistent Data Masking Test Data Generation* * Powered by Cognizant IP Flexible Models Accelerators Frameworks ELA Licenses for Global Deployment Oracle E-Biz, PeopleSoft, JDE, SAP, Siebel CRM, MS Dynamics Cognizant’s Flexible Framework for semi-structured formats IP Exchange Program with Informatica Alliance Partner Award, 2013 Innovation award , 2013 Transforming Test Data Management for Increased Business Value Power your Test Data needs with enterprise Test Data Management strategy WHITEPAPERS

11 TD Maxim ELA – Flexible, Customized Options
TDM Skills TDM S/w TDM H/w Multi-Point Service Cognizant Cognizant ELA/ Customer Owned Customer’s On-Premise/ Customer’s Private Cloud* Single-Window Service Cognizant ELA Cognizant’s Cloud* * Necessary Firewalls/Ports Handling to be taken care by Customers at their end CAPEX Reduction $ Pay Per Use Model Order of Magnitude Price Differential UI Layer Middleware Database Hardware Test Envs. Gold Copy DB Layer Production Env. Seamless Connectivity * Public/Private Cloud Global Geo Deployment Capability On-Demand, E2E TDM Infra Skills, S/w, H/w Available On-Demand Zero-cost Access to 40+ Sub-Products Social N/W Connectivity, Accelerators for Packages, Connectors for Technology Platforms E2E TDM Infra Provisioned by Cognizant

12 100% 100% A US Based Retailed Customer
Privacy Protection For Complex EDI Data Challenges Semi-structured EDI format Building Custom Algorithms Identify sensitive information Absence of mechanism to desensitize information DB Technology Solutions Tools EDI files DB2 Custom Shell-based Solution Coupled with Federation Server Converted EDI to DB2 and masked Convert EDI data to files (Shell) IBM Optim 100% 100% Data Privacy End to End Automation Read EDI, mask and load

13 100% 80% A Large Insurance Customer in US
Data Integrity and Storage Space Reduction Challenges 42,000+ Tables with NO Referential Integrity Defined ~877 million records High Storage Cost No Data Model Available DB Technology Solutions Tools DB2/400 IBM DB2 Slicing Process Automation Parameterized Filters Automated Scheduling Power Exchange Component TD Maxim 100% 80% Referential Integrity Storage Space Saved

14 100% 23Hrs An European Pharmaceutical Giant
Data Generation For Missing Interfaces Challenges Referentially integrated data creation 32M Records needed in just a few days Generate data for complex rules 40 tables, 481 columns, 59 relations, DB Technology Solutions Tools DB2/400 IBM DB2 Automated test data generation Provisioned data in multiple env. Re-usable data TD Maxim 100% 23Hrs Data Coverage Total Data Generation Time

15 70 100% US Based Leading Retail Customer
Improving Coverage for Social Networking Application Challenges Data in Unstructured Format (Social N/W Sites Quick Turnaround time DB Technology Solutions Tools JSON, HDFS (Hadoop) 1.7Million Tweets Load Data from HDFS into HIVE Analytics with Domain SME Tableau 70 100% Missing Scenarios Identified Information Masking

16 Workflow for a Release Release Mgmt QA TDM Team Env Mgmt Initiation
Planning Design Execution Closure Release Mgmt Release Scope, Plan Release Monitoring Release Sign-off QA High Level Estimates, Test Plan Test Cases, Data Specification Test Data Requests Test Execution Test Reporting, Closure TDM Team High level Estimates, TDM Plan TDM Services**, Utilities/Tools Configuration Test Data Delivery Causal Analysis, Continuous Improvement Env Mgmt Environment Plan Environment Setup, DB Connections Environment Tear down (optional) Review/Sign-off by Respective Team Review/Sign-off by All ** Masking, Subsetting, Refresh, Generation

17 Test Data Request (TDR) – Detailed Workflow
New Dev, QA, UAT, Perf, Automation Initiate Request by filling a form with data requirements Provide clarifications as needed Approve estimates, delivery timeline Review Test Data against requirements Y Meets requirements? Close the request Data Requestor Provisioned Reopened Open TDM Team Review for correctness, completeness Seek Clarifications if needed Estimate & Prioritize Assign to Analyst Set up data through appropriate methods** N End Closed Assigned Status of TDR ** Synthetic generation, masking/ subsetting, DB/File edits etc. alerts


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