Category: Agile Data Practices
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Critical questions to help define winning AI experiments
Answer these questions before jumping into AI
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3 Reasons Why People Aren’t Using Your Data Visualization
Data visualizations need insights, experience, and performance
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Killing Spreadsheets and Empowering Data Driven Organizations
Robust SaaS that replace spreadsheets. Over the last decade, technology companies have developed tools and SaaS platforms that target citizen data scientists, basic data prep and stewardship activities, and citizen developers building robust departmental workflow applications
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Laggards Beware! Why Transforming with Data, Analytics, and AI is Needed Today
Be persistent when driving organizational changes on using data, analytics, and ai
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Five Ways to Finding the Citizen Data Scientists in your Organization
Becoming data driven is an inside out transformation. And that requires changes in mindset, culture, roles and responsibilities, and technologies
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If data is the new oil, we’re still digging wells
If data is the new oil, then understand your strategy, organizational impact, and data landscape before selecting your drill
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Three Tips on Developing Successful Citizen Data Science Programs that Drive Transformation
Citizen data science programs can drive significant transformation
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Why YOU Should be Driving Digital!
About my book, Driving Digital: The Leader’s Guide to Business Transformation Through Technology
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How to Select a Data Visualization Platform for Citizen Data Scientists
Looking to enable citizen data scientists with data visualization tools? Selection criteria in four different categories are shared.
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Why Agile Data Science Practices Drive Big Data Impact
Look to the research that shows why agile practices are needed in data science and big data programs
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Succeeding at Artificial Intelligence Requires a Commitment to Agile Experimentation
It requires significant experimentation to get results from artificial intelligence and machine learning approaches
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Where are you Implementing your Big Data Algorithms?
Basic steps in a data science or big data program to manage to a changing landscape of technologies and best practices