With containers, you can build once, run anywhere – no worries about underlying dependencies.
Some businesses overlook alternative data. That's probably a mistake.
Jim Harris takes a deep dive into data lakes and how they relate to the cloud.
The evolution of service is simplicity and clarity. Build for the digital future of service today.
Ready to turn big data into big business insights? Look to the cloud.
Digital channels open the door to synthetic identity fraud. Luckily, artificial (AI, that is) can defeat synthetic.
Learn why a data catalog is so valuable in helping you find and use big data at your business.
Jim Harris examines coronavirus terms that are crucial to data-driven decisions in the pandemic.
In the third post of his series, Jim Harris looks at types, terms and timing of coronavirus tests.
Could you pass a test on coronavirus testing terms? Jim Harris can help.
Dashboards and metrics support data-driven decisions – if you understand the terms.
Learn the nuts and bolts of how to measure data quality from expert Jim Harris.
Jim Harris shows how data, analytics and humans work together to form the "insight equation."
Jim Harris explains the relevance of DevOps, DataOps and ModelOps for data analytics practitioners.
Read about the value of data tagging and learn best practices for doing it effectively.
A business glossary improves data quality – one of the top five ways it makes analytics better.
Data-driven businesses use technology as an insight platform to empower nontechnical users.
Could data governance policies for analytics be the foundation for a model governance program?
Jim Harris explains why true transformation requires more than just being data-driven.
Jim Harris shares some simple tips about how to minimize data usage.
Jim Harris shares three more examples of how data quality improves AI in Part 2 of his series.
Jim Harris shares examples of how and why AI applications are dependent on high-quality data.
Jim Harris says curating AI’s curriculum is the responsibility of data stewards.
Jim Harris discusses a key role of the data engineer – protecting sensitive personal data.
Jim Harris says data stewards are essential to analytics, providing life cycle management for data across the enterprise.
Jim Harris says people still play a pivotal role in data-driven decision making.
Jim Harris says learn the lineage of the data that fed the analysis before you get dazzled by visualizations or algorithms.
Jim Harris warns against allowing your data lake to become a poorly managed and ungoverned data dumping ground.
Like hiking without GPS directions, Jim Harris says businesses that don't use streaming data analytics will be lost in a crowd of competitors.
Jim Harris says the GDPR may cause seismic changes in how people think of privacy and personal data.