Why SAS analytics for containers is a game-changer in data collection
The advent of container technology is revolutionising software development and data analytics because these software units allow you to run applications on different platforms, including desktops, physical servers and virtual servers. Containers present a consistent interface that allows developers to easily migrate software to different environments making the work easier for your IT teams and […]
Optimising data exploration and analysis with SAS data management solutions
Business data is a valuable resource for every contemporary company. This information holds insight into factors like patterns in customer behaviour, avenues for cost savings, and offers a chance to accelerate and optimise business progress. Today, 83% of organisations see data as an integral part of their business strategy. 69% of organisations, however, have noted […]
Why choose SAS Analytics business intelligence and data management for analysing data
The fast pace of the market and the competition make business management unpredictable unless you have the right tools like data-driven business intelligence (BI). By providing insights into market patterns, buyer behaviour, and other economic factors, business intelligence can help you make better decisions to improve business performance. BI tools allow you to explore large […]
How SAS data preparation can optimise your data analytics
Do you know which process manufacturing lines have in common? Manufacturing lines require high-quality material that’s ready to be used in production. The process they have in common, then, is preparing raw material to make it suitable for value-added production. This analogy applies to data analytics as well. Imagine data analytics platforms as manufacturing lines. […]
How SAS data preparation software can streamline data collection
SAS data preparation is a platform that can help optimise several stages in data collection and analysis. Despite its importance in analysis, the preparation of data is often plagued with missteps. In fact, research shows that data analysts spend a significant amount of time preparing data rather than actual analysing it. To reduce the amount […]
