Leveraging enterprise artificial intelligence (AI) provides a system that can automate repetitive tasks, answer questions, and improve decision-making. The AI operates machine learning extensions...
As we continue to do business in a digitally connected world, more data-driven organizations are prioritizing data stewardship to improve data quality and management. Data...
Today’s global organizations have data deployed both on-premises and across many cloud environments. In such a scenario, the biggest challenge is to find a...
Data Governance applied to analytics, business intelligence (BI), or data modeling is nothing new, but Analytics Governance is somewhat different from Data Governance, says...
The world is going multi-cloud. Enterprises are leveraging the benefits of multi-cloud services to improve operational efficiency, reduce costs, and drive faster innovation. What does...
For many people in business, the mention of Data Governance evokes excessive red tape, bureaucratic drag, and, most of all, outsiders meddling in daily...
A Data Governance framework can be described as a collection of processes, rules, and responsibilities used to structure an organization’s Data Governance program. A solid...
A data catalog can be an excellent resource for a business. An important element of modern metadata management, it can make many workflows and business...
Data quality refers to the planning and implementation of quality management measures for the data that companies generate. The idea is that the data should fit...
Every day, trillions of data points are generated, and, in theory, organizations can harness this data to make better, more informed decisions. But it’s...
