When is it Time to Start Your Data Governance Journey?
Implementing data governance practices can provide several benefits like improving data quality and enhancing decision-making processes.
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.
Implementing data governance practices can provide several benefits like improving data quality and enhancing decision-making processes.
Data architects utilize dimensional models to consolidate data from multiple sources in a data warehouse for operational decision-making and leverage, whether traditional or cloud-based.
Knowing how to create a good prompt for a language model AI technology is a skill that can result in more complete and pointed results.
Your future success is dependent on your ability to learn. Will you allow yourself to take a strategic pause to learn?