From the precision of prescriptive analytics to the evolving capabilities of generative AI, organizations are racing to harness these advancements to create comprehensive data strategies. There are also tools such as customer data platforms that ensure valuable customer insights are unified and actionable. But it’s also important that the data strategy can be scaled effectively. And with the quantum future looming, leaders should be ready for the opportunities and challenges

The role of data warehouses has evolved in today’s analytics-driven environment from simply storing structured data to becoming central hubs for advanced analytics and decision-making. Modern data warehouses now support real-time data processing, integration of diverse data sources (including unstructured and semi-structured data), and scalability through cloud platforms, which has enabled businesses to gain faster, deeper insights, support AI and machine learning initiatives

Traditional business intelligence (BI) has largely followed a labor-intensive model where people manually analyze data to generate insights and then take action in separate systems. But as the data being analyzed continues to grow and become more complex and as technologies such as artificial intelligence (AI) have shown potential and wider adoption, it seemed that incorporating AI into BI would be the logical next step. This is the idea behind agentic analytics...

There has been a growing focus towards data-driven innovation as the availability and abundance of data made it possible for enterprises to create new products and services or make significant improvements in their processes. Such innovation has not only helped companies adapt to the changing market and environment but also identify new opportunities that can provide them a competitive edge over its competitors...

One of the challenges facing businesses with a remote workforce is the lack of a personal connection among team members as their interactions are limited to online chats and virtual meetings. As a result, some remote workers face mental health concerns due to the feeling of being alone and isolated in their own workspace...

Given the increasing need for data among organizations today, there has been a increased trend towards data sharing and collaboration  as part of a greater movement to make data readily available to those that need (with the proper security and privacy measures in place, of course).  Unfortunately, some organizations still find it hard to get that data they need...

From data interoperability and role-based masking in multi-cloud environments, to managing the complexity of AI systems and robust data governance powering self-service BI, organizations are reimagining how data is used at scale. We also highlight the transformative impact of real-time analytics in delivering immediate insights that fuel agility and competitive advantage.

In today’s data-driven world, the importance of data as a valued “commodity” is widely recognized. Many organizations across all sectors have come to rely on data as an important element for them to make critically-sound decisions that will impact their organizations. And factoring into these decisions is the data these organizations have. Not necessarily the amount of data they have but more so the quality of such data...

While artificial intelligence (AI) has become the buzzword in today’s environment as this hip, new technology, in truth, AI has been around for a long time. But if we are to be a bit more precise and accurate, what people are raving about these days is one particular type of AI: generative AI...

Salesforce is one of the most in-demand CRM platforms and there is a growing demand for people with knowledge of the platform. As such, there are plenty of career opportunities available for people with a background in Salesforce, especially for those who have shown to have more advanced Salesforce expertise and have the specific Salesforce credentials an organization is looking for...