How to Accelerate Delivery of Your BI Strategy

whitePaper | March 12, 2020

Operational Acceptance Testing (OAT) is the penultimate phase of Acceptance Testing in a Software Testing Life cycle and is the last defence line between a software development project and deployment of software on production. FFor decedes, Operational Acceptance has been undermined and misunderstood. Where User Acceptance has been written about and hailed as a final phase in testing before production. User Acceptance is but one side of the coin, Operational Acceptance is the other.

whitePaper | September 23, 2022

The COVID-19 pandemic times will go down in the annals of history as the ones which saw organizations face significant disruption in the way they executed their frontend business and backend operations. The pandemic waves have made organizations do the unthinkable – allowing their workforce to either operate exclusively from their homes, or at a minimum, distribute their working hours between home and office.

whitePaper | March 29, 2023

Migrating to a new analytics environment can be a complex, timeconsuming and resource-intensive undertaking. Significant investments have been sunk into existing analytic environments, and migrating to a new platform can involve months of effort. When organizations go to this level of effort and expense, ideally, they should achieve more than simply migrating the existing environment. A migration provides an excellent opportunity to look to the future, rethink the environment, and deliver new capabilities to the business that can improve efficiency and serve as a source of competitive advantage.

whitePaper | August 18, 2022

The 2022 data connectivity survey pivots somewhat from prior years’ studies. Data connectivity and data integration are well established in the traditional on-premise computing environment. But we’ve seen that as organizations increasingly expand their domains to one or more cloud service providers, it is important to better understand the challenges and opportunities for connectivity presented by modernization initiatives.

whitePaper | June 2, 2022

Data lakeshold enormous promise in supporting modern enterprise data architectures. Their ability to store a full variety of data types and handle ever-larger data volumes generated at high velocity have contributed to their widespread adoption.

whitePaper | November 23, 2022

Artificial intelligence (AI) and machine learning (ML), along with data analytics, are widely seen as a way to tackle everything from daily inefficiencies and low productivity, to advancing healthcare and climate change mitigation. As more organisations look to leverage their data more effectively, demand for people with data capabilities is only going to grow