How to apply design thinking in data science [Video]

What is the role of data scientists in your organization? Are they report generators, database query jockeys, machine learning model developers, or generative AI experimenters? Are they citizen data scientists and data analysts tasked with developing data visualizations, evaluating new data sets, or improving data quality for business departments?

Organizations looking to become more data-driven often start with a services mindset where employees with data skills are tasked to develop reports, dashboards, machine learning models, and other analytics deliverables. Some will also have data integration, stewardship, and governance responsibilities, including analyzing new data sources, improving data quality, or enhancing data catalogs.

Digital trailblazers seeking to advance their organization’s data-driven practiceswill go beyond the data service delivery model and seek to develop and support data and analytics as products. Instead of building many one-off data tools based on people’s requests, these trailblazers see the benefits if defining and developing actionable data products and enhancing them based on …