
From Dashboards to Decisions: The Evolution of Analytics (and the Role of AI)
Explore how businesses move from raw data and dashboards to AI-powered analytics that drive smarter decisions
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.
Explore how businesses move from raw data and dashboards to AI-powered analytics that drive smarter decisions
Learn the six key dimensions of reliable data, the risks of poor input, and best practices for ensuring accurate insights.
Whether you use a data mart or query data directly from APIs, a hybrid strategy often delivers the best balance.
When evaluating the best ways to manage and store their data, the decision between on-premises and Azure data assets is crucial, as it impacts performance, security, cost, and scalability.