Category: Agile Data Practices
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5 Ways Scrum Leaders Drive Astoundingly Successful Collaboration
Scrum leaders that practice their responsibilities have significant influence on their agile team’s delivery and culture
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Why Data Science, DataOps, and Data Governance need Agile Methodologies
Agile brings balanced priorities and collaboration to data science, dataops, and data governance that drive business impact
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Driving Competitive Advantages with Master Data Management
Data transparency through master data management drives competitive advantages in customer 360, supply chain, and product development.
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Four Agile Workstreams in a Data Driven Organization
Four agile workstreams in analyics, leadership, dataops, and data governance to enable the data driven organization
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What is Proactive Data Governance?
Proactive data governance, is driven by three areas; DataOps, Master Data Management, and Data Policies and Security
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What are Seven Types of Big Data Debt
Big data debt covers dark data, data quality, master data, duplication, data security, and other underlying issues preventing accurate analytics and machine learning.
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5 Principles Full Stack Developers and Solutions Architects Must Understand About Machine Learning
Principles on connecting apps to machine learning models
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10 Questions before starting a Machine Learning POC
Detailed easy 10-step checklist for evaluating AI / machine learning proof of concepts and data experiments
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5 Ways to Kickoff Data Governance in Self-Service BI Programs
Basic data governance to enable citizen data scientists. Empowering business users with a self-service BI program is the mechanism to get them there
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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