EDA refers to the process of applying statistics and critical analysis on data to discover patterns, spot anomalies, and test hypotheses you want to explore. Sound like science? It is. Doing EDA requires skills and tools that your IT organization may not have. Our Data Scientists use a variety of statistics, tools, and techniques to pull together, analyze, and visualize data – important steps to better understand your business. Typically, you will need data from multiple sources within your organization and oftentimes from publicly available datasets.
Have a focused area of study that they want to better understand
Have a business problem they are trying to diagnose
Have institutions they need to validate
In today’s world of AI and ChatGPT, the possibilities are limitless! There are a variety of industry specific tools and capabilities readily available from Microsoft Azure, Amazon Web Services (AWS) and Google. We can help select the right data, the right tools and the right methods to help you find the breakthrough insights you have wanted for so long.
Joe Dunn, Senior DBA and Senior Data Engineer for Keller Schroeder explores the rapidly changing DBA Services environment and discusses the impact of many of the newer technologies on that landscape for the DBA professional.
Learn how robust frameworks and high-quality data are essential for reliable AI outcomes, especially in sensitive sectors like healthcare and finance.
Developments have made cloud computing a cornerstone of modern technology, driving innovation and shaping the future.
What does your corporate strategy and culture have to do with your data and analytics strategy? Everything.
