Relying on manual spreadsheets for reconciliation, despite the prevalence of automated tools in the industry, seems to be an unconventional decision. This choice may be attributed to factors such as not having taken the time to transition to a reconciliation platform, a belief that the current system is functional, a preference for the familiar spreadsheet interface, or simply adhering to established practices where reconciliation is not considered a top priority.

When comparing DataOps and DevOps for practical digital transformation, it's essential to recognize that they serve distinct purposes. DevOps has significantly revolutionized software delivery for companies, while DataOps is transforming data utilization. Rather than debating which approach is better, the more pertinent question is: How can I harness both DevOps and DataOps to amplify the value I provide to my customers?

In today's data-driven world, organizations are constantly seeking ways to harness the power of data to drive innovation, improve decision-making, and deliver exceptional customer experiences. Traditional monolithic data architectures, however, often prove to be cumbersome and limiting in the face of evolving business requirements.

Data onboarding is the challenging process of importing and migrating data from one application to another, which can can have significant consequences for businesses and customers.

Essentials for creating a high-quality test data automation strategy

In the midst of the growing digital demands of customers, organizations are feeling more pressure than ever to modernize their practices and automate their business processes in order to keep up with the competition.

85% of organisations consider data as one of their most valuable assets, but face challenges in understanding this data and unlock value from it.