In today's business landscape, enterprises collect vast amounts of data, often spread across different locations. While this fragmentation was tolerable in the past when organizations operated in silos with department-specific data usage, modern interconnected business environments demand more cohesive approaches...

We look deeper at the benefits of data in business innovation, as well as certain technologies such as data mesh for enterprise AI, continuous delivery for software and data deployments, and agentic AI in user interaction. We also explore one challenge facing businesses: the build-vs-buy tech debate in adopting technology...

Data analytics has become a cornerstone of modern business strategies. Thanks to data analytics, business leaders have been able to identify trends, understand customer behavior, and guide companies toward smarter decision-making...

It cannot be overstated how valuable data has become for businesses, not only in providing critical information that they need but also empowering them to make informed decisions and gain a competitive advantage. Unfortunately, many medium-sized businesses face difficulties in harnessing the full potential of their data, stunting their growth which is crucial in today’s competitive and rapidly evolving business environment...

Remote work isn't a new idea—but its rise has been nothing short of revolutionary. Fueled by the global shift during the COVID-19 pandemic, companies across the world were forced to adapt overnight, embracing remote setups to keep operations running. And even as the world reopens, this shift has proven too valuable to be abandoned outright...

When it comes to finance and accounting work, spreadsheet programs such as Microsoft Excel and, in recent years, Google Sheets have been the go-to apps for many businesses. For one, they have proven their reliability and capability in performing numerical computations. And secondly, they are widespread in usage and acceptance in the digital space for many years...

Data isn't just changing how we work—it's redefining what's possible. Organizations that bridge the gap between information and insight are discovering opportunities hidden in plain sight. As analytics capabilities become more sophisticated and accessible, the real differentiator isn't who has the most data, but who asks the best questions of it. This shift is creating new possibilities across industries, from predictive customer experiences to supply chains that adapt in rea

The sobering reality is that most organizations’ data analytics remain in the early phases, at the descriptive and diagnostic levels that tell a “what” and “why” story but for one reason or another, have either not yet reached the crucial “what to do” phase of the story that prescriptive analytics provides or are drawing their own findings and solutions without the rigid process of prescriptive analysis, which only guarantees failure for the organization’s data-driven endeavo

In today’s landscape, data is a powerful tool that is readily available at a staggering scale and can drive meaningful decision-making and improve performance within the organization...

While it is true that data is widely and readily available, in many cases, insights coming from these data are not readily accessible either because of their location or the lack of available tools to access them. It is important that data can be exchanged and utilized across platforms without roadblocks, which is something that data interoperability aims to achieve...