Test Data Management a Managed Service for Software Quality Assurance

Test Data ManagementMANAGED SERVICE FOR SOFTWARE QUALITY ASSURANCE

Introduction

• Management & Streamlining Of Test Data Important

• Test Data Management

• Analysis• Development• Testing• Maintenance

The Importance of Managing Test Data• Relevant Test Data Improves

• Reliability & Quality Of Software Quality Testing• Frequent Changes Require A Re-look • Constant Refreshes • Versions

TDM – The Growing Importance

Generates test Data Setup for new apps

Synchronizes Test Data Across Apps

Brings Agility to Test Data ManagementoRevises Test Data for UgradesoMaintains & Supports all Data Needs

Streamlines Feedback Management to Make Data Better

Challenges for Test Data Management

• Improper Analysis • Frequent Changes • Unexpected Test Data Requirements• Ensuring Data Privacy & Confidentiality • Adhering To Regulatory Compliances • Keeping Version Control Mechanisms • Provisioning Back-ups • Preventing Test Data Redundancy • Synchronization Between Teams

• Application Development• Testing & QA• Infrastructure• Database Facilitators

The TDM Lifecycle

Test Data Profilingo Comprehend Data Sourceso Understand Requirements of

Test Data

Test Data Planningo Devise Test Data Strategyo Identify Tools for Test Data

Management

Test Data Provisioningo Create Sub data setso Mask Test Data

Test Data Population Populate Test Data Continuous Refresh for Test

Data Devise Backup Schedules

Test Data Profiling

• Enterprise Business

• Mapped To Data Structures

• Test Data Requirements Be Identified Based On These

• Test Data Profiling • Ensures A Sync

Test Data Planning• Understand The Intricacies Of The Production

Scenario• Evaluate Test Cases

Test Data Provisioning

Sub-setting Data from multiple sources• Identifies Realistic

Data • Encompassing As

Many Scenarios & Combinations

• Small And Allow Quick Testing

• Enforces Boundary Conditions & Error Possibilities

Keeping the Data private• Data Masking

• Hides Actual Data • Brings Anonymity

Test Data Population

Automated Test Data Generation & Comparison

Keeping Check On Anomalies & Inconsistencies Of Test Data

Increases The Speed & Efficiencies

Periodic Refresh of Test Data

• Monitoring Test Data • Get Away With

Any Divergences • Ensure Optimal

Testing Environments

Rules of Thumb Manage the Test Data Environment

As Similar As Possible To The End User Environment

Address Practical Needs Explore Practical Platforms

Virtualization Or Cloud Environment

Easily Configurable

Yes or No for Test Data ManagementNOoInadequate testing means a low quality solutionoMore time-to-marketoRising costs because of random test data with no

strategiesoNon-compliance with regulatory norms for data privacy

YesoReduced cost in test processesoImproved data quality resulting in better systemsoTimely data delivery, with faster test executions reducing

the time-to-marketoMethodical adherence to regulatory norms on data

confidentiality

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