Whitepaper

How to avoid costly data migration failures

Provide the upfront tests, data and requirements needed to avoid bugs, delays and budget overrun.

When embarking on a migration, ask yourself:

Do you understand the legacy system’s data?
Do you understand the new system in detail? And is that knowledge stored in requirements for future?
Do you have compliant data for testing every transform and requirement?
Are you testing early enough to give yourself time to fix and pivot?

Fortunately, a unified solution can fulfil each of these criteria. This integrated approach ensures that your teams have the upfront requirements, understanding and data needed for a successful migration!

Read the whitepaper to learn more!

Too many migration projects fail

Today, the majority of enterprises are engaged in ongoing system migrations – and most of those projects will either fail completely, overrun on time, or exceed their budget. Too often, key failings during data migrations combine with insufficient testing and design. This leads to compliance risks and costly bugs, which are often only identified once it’s too late.

This eBook will outline a unified solution for solving these failings. The integrated approach will combine data analysis and archaeology, with automated test generation and requirements modelling. This provides the data, requirements and understanding needed for a successful data migration, while moving “shift left” testing far earlier in the migration project.

This approach not only supports a successful data migration: It provides the “living documentation” and rigorous in-sprint testing needed to innovate the migrated system. The eBook will therefore conclude by summarising how the proposed approach “future proofs” development of migrated systems, including the eventual migration to subsequent systems.

Discover techniques for a successful data migration

Compliant Data - Avoid Privacy Risks - Curiosity Software

Data migrations today are hindered by poor understanding of system data, as well as late testing with limited test data. Enterprise Test Data can help organisations overcome this.

Leveraging a checklist of four criteria during data migration planning helps address quality requirements, understanding, cost and regulatory compliance risks.

A unified solution to design and testing provides the upfront requirements, understanding and data needed for a successful data migration.

Accelerate Delivery Time - Curiosity Software

Automated data analysis can provide the requisite understanding of system data, informing refined requirements that generate complete data for "shift left" migration testing.