Stories are powerful. Data stories bring insights to life. “Numbers have an important story to tell,” said Stephen Few, a data visualization expert. However, “they rely on you to give them a clear and convincing voice,” he added. Data stories pack insights from data and deliver them in a way that engages your audience and moves them to action.
Data in most organizations is found across multiple sources – data warehouses, data lakes, and multiple siloed locations. Analysts tap into data from across these sources ad-hoc and then use custom analytical techniques to identify insights. The business metrics are computed based on rules and formulae that the analysts manually collect from the various business users they serve.
This white paper will explain how the AtScale Semantic Layer is a solution to this problem. It’s how companies create data stories with a backend setup to prepare the data, perform analytics, and craft data stories that are accessible across an organization.
About the Author
Ganes Kesari is an entrepreneur, AI thought leader, author, and TEDx speaker. He co-founded Gramener, where he heads Data Science Advisory and Innovation. He advises executives on decision-making with data. He helps apply data science to solve organizational challenges, tell stories with data, and build winning analytics teams.
Ganes contributes articles to leading magazines such as Forbes and Entrepreneur. He teaches guest lectures on data science in schools such as Princeton University and runs corporate training on transforming organizations with data & analytics.