Your business needs smarter test data management. Why? Because data is at the heart of your business, and when you equip the people who manage it with a higher quality process, their work output is more accurate and your business can save money.
It’s about maintaining a high-quality testing environment that ensures the stability and integrity of your products and services. Because if you don’t, you risk damaging your reputation, losing valuable customers, and even losing long-time customers.
This article explains how a smarter process leads to fewer errors, fewer problems, and better test results.
What is test data management?
In test data management, the data sets used for testing are created, modified and managed. When you create a new test plan, you need to identify the data required to run those tests and make sure it’s available.
6 ways smarter test data management improves your business processes
Here are six ways smarter test data management improves your business processes:
Optimizing the performance of data management
Many companies need help managing the data under test. For example, two other teams may share access to the same information or workflows, or spend a disproportionate amount of time keeping records of who has access and when.
But that too can be optimized. Smarter test management with artificial intelligence (AI) delivers amazing improvements in productivity and accuracy. It enables professionals to work smarter and faster.
Optimizing data management performance requires a sophisticated approach to data architecture and governance so that data is easy to understand, manage, and update. Data silos can make it difficult to determine when and how data needs to be updated.
Fast reporting and analysis
Creating reports is difficult even when everything works correctly. If you have to worry about where the data is, how it was collected, or if it’s even the right data, trying to report that data becomes a nightmare.
You have to dig through multiple databases and spreadsheets to find the source of the problem. It can take days of manual work when it should only take minutes. There is also a big chance that you will make a mistake that will cost you hours or days to correct later.
With smarter test management, you can easily create reports in minutes to use existing data more efficiently. Your analysts and developers no longer have to worry about missing something. No matter how big or small, they can accurately report the data they need in an easy-to-read format.
Smarter test data management Machine learning (ML) tools can automatically reconcile datasets, spot problems and trends, and generate analysis on the fly. Your company can make smarter decisions, increase product quality, and seamlessly implement new products or services.
Efficient use of human and financial resources
As a leader, you want to use your resources to grow your business. That doesn’t mean you should neglect the quality of your products and services, or the integrity of your brand—both are critical parts of the DNA of any successful business.
Managing test data is teamwork. Project managers and software developers share access to the same information or workflow and often spend a disproportionate amount of time keeping records of who has access and when.
The result is untested products or services that fail when released to production. It’s also inefficient because it requires resources from different departments. When you’re working on the same thing in multiple places, you’re wasting money paying for redundant resources and duplicate effort.
Smarter test data management platforms streamline workflows and help your team work smarter and faster. These tools meet the needs of multiple teams and departments. They minimize, if not eliminate, duplication of efforts so you can focus your time on what really matters: quality products and services.
Increased scalability and constant availability
Because data is at the heart of your business, it needs to be available 24/7. If you want to work, you should always be able to work on this data. You’re constantly learning new things about your customers’ preferences and habits.
Sometimes new opportunities arise or a competitor makes a move that forces you to change your strategy immediately to stay competitive. With smarter test data management, you can access the datasets you need, when you need them.
Smarter test data management tools can also scale your data to meet the needs of even the most well-known organizations. Your business can manage more customers and products or services with a clearer understanding of expectations, requirements, and the costs involved.
Enable intelligent QA analysis
Your QA team must follow a strict process to validate each release. They might avoid critical failures or deliver a defective product or service if they do so.
But QA processes can also be automated with smarter test data management platforms built on ML. When you have the right data, you can quickly identify problems and automate that flow of information into the development cycle. You then have a roadmap for bug fixes down to the source code level.
Cognitive QA offers a path to transparency and a different way of thinking about software quality. Your QA team can focus on making sure all products and services are working as intended. You have a better overview of the time it takes to check each error, resulting in faster and more accurate error correction.
Improving customer trust
One bad experience can cost you a customer forever. Therefore, it is important to deliver quality products and services.
When you have the right data, you can deliver quality products and services faster. That means happier customers and higher profits for your business. It also offers a way to improve customer trust by providing new ways to deliver great customer service.
Rely on smarter test management for an improved business process
When your software and services are more reliable and less buggy, you have a greater chance of profitability and longevity. After all, you should be the one providing the products that people use every day.
This is why smarter test data management is one of the top reasons to use smart technology to improve your business strategy. It is specially designed for your customers so that you can offer better products and services in a competitive market.
Daniel is a community manager for NI (formerly National Instruments) where they build the tools companies need to build Ambitiously™. His current interests lie at the intersection of software engineering and DevOps. Outside of work he is a marathon runner and working on his first novel.