John Bennett, Author at Data Culpa

5 Neat Tricks with Data Culpa Alerts

by John Bennett | Apr 8, 2022 | Data Culpa

Every data team needs to keep an eye on its data. At the same time, no data team wants to be deluged with alerts. Ideally, alerts should direct your attention to the most important changes taking place in your data. If they call...

Where Most Data Observability Solutions Fall Short

by John Bennett | Sep 29, 2021 | Data Culpa

Observability is the analysis of a system based on its outputs. By analyzing the outputs of a system at various points, it should be possible to infer the internal state of the system and to diagnose problems the system is experiencing. This sounds useful for data...

Introducing Data Culpa Validator

by John Bennett | Sep 8, 2021 | Blog, Data Culpa

What’s your data doing? Can you tell? Data teams tell us they need better visibility into data pipelines, integrations, repositories, and data lakes. You can hand-code a bunch of unit tests to check for known boundary cases. But coverage will always be limited. And...

Why You Need a Data Quality Strategy for External Data

by John Bennett | Apr 12, 2021 | Blog, Data Culpa

A company’s data is its most valuable asset — that's a commonplace observation in board rooms and IT labs today. Every organization recognizes the importance of its data. Somewhere in the mission statement for most digital transformation projects, there’s probably a...

Data Quality in Healthcare: An Interview with Shawn Stapleton, PhD, Part 2

by John Bennett | Mar 15, 2021 | Blog, Data Culpa, Interview

As a leader in healthcare innovation at Philips Healthcare, Shawn Stapleton manages a portfolio of technology solutions that have immediate impact for hospitals around the world. Shawn works with a network of clinical partners to identify key needs and to develop...

Data Science in Healthcare: An Interview with Shawn Stapleton, PhD, Part 1

by John Bennett | Feb 3, 2021 | Data Culpa

As a leader in healthcare innovation at Philips Healthcare, Shawn Stapleton manages a portfolio of technology solutions that have immediate impact for hospitals around the world. Shawn works with a network of clinical partners to identify key needs and to develop...

Accounting for Bias in Data Analytics: An Interview with Lauren S. Moores, PhD, Part 3

by John Bennett | Oct 19, 2020 | Blog, Data Culpa, Interview

Lauren S. Moores, a.k.a. “the Data Queen,” is Head of Data Sciences Innovation for FL65 and Invaio Sciences, two companies launched by Flagship Pioneering, a venture capital and private equity firm dedicated to creating breakthroughs in human health and sustainability...

Data Coverage and Other Pillars of Data Science: An Interview with Gordon Wong, Part 2

by John Bennett | Sep 28, 2020 | Data Culpa, Interview

Gordon Wong has been working with data since the early 90’s. His accomplishments include building Fitbit’s data analytics platform from the ground up and serving as HubSpot’s VP of Business Intelligence. He has also worked or consulted for leading brands such as...

Different Roles in Data Science: An Interview with Lauren S. Moores, PhD, Part 2

by John Bennett | Sep 16, 2020 | Blog, Data Culpa, Interview

Lauren S. Moores, a.k.a. “the Data Queen,” is Head of Data Sciences Innovation for FL65 and Invaio Sciences, two companies launched by Flagship Pioneering, a venture capital and private equity firm dedicated to creating breakthroughs in human health and sustainability...

Continuous Analysis, Continuous Insights, and Data Quality: An Interview with Gordon Wong, Part 1

by John Bennett | Aug 28, 2020 | Data Culpa, Interview

Gordon Wong has been working with data since the early 90’s. His accomplishments include building Fitbit’s data analytics platform from the ground up and serving as HubSpot’s VP of Business Intelligence. He has also worked or consulted for leading brands such as...

Building Data Science Systems: An Interview with Lauren S. Moores, PhD, Part 1

by John Bennett | Aug 21, 2020 | Blog, Data Culpa, Interview

Lauren S. Moores, a.k.a. “the Data Queen,” is Head of Data Sciences Innovation for FL65 and Invaio Sciences, two companies launched by Flagship Pioneering, a venture capital and private equity firm dedicated to creating breakthroughs in human health and sustainability...

Data Quality Problems and How to Fix Them: An Interview with Michal Klos, Part 2

by John Bennett | Aug 5, 2020 | Blog, Interview

Data engineering teams need to be able to find and fix data quality problems quickly. In part 2 of our interview with Michal Klos, Michal discusses the challenges of discovering and troubleshooting data quality problems in pipelines. Michal is Sr. Director of...

Data Quality Challenges for Data Scientists: An Interview with Michal Klos, Part 1

by John Bennett | Jul 10, 2020 | Data Culpa

Data quality is an ongoing challenge for data scientists and data engineers. In this interview, Michal Klos share the insights he's gleaned from a long career building data pipelines and ensuring they deliver high-quality results. Michal is Sr. Director of Engineering...

A Blog about Data Quality

by John Bennett | Jun 17, 2020 | Data Culpa

At Data Culpa, we're building solutions to help data engineers and data scientists catch data quality problems before they jeopardize data pipeline results. Nearly every business today is becoming more data-centric. Data not only drives operations and decision making;...

ABOUT THIS BLOG

5 Neat Tricks with Data Culpa Alerts

Where Most Data Observability Solutions Fall Short

Introducing Data Culpa Validator

Why You Need a Data Quality Strategy for External Data

Data Quality in Healthcare: An Interview with Shawn Stapleton, PhD, Part 2

Data Science in Healthcare: An Interview with Shawn Stapleton, PhD, Part 1

Accounting for Bias in Data Analytics: An Interview with Lauren S. Moores, PhD, Part 3

Data Coverage and Other Pillars of Data Science: An Interview with Gordon Wong, Part 2

Different Roles in Data Science: An Interview with Lauren S. Moores, PhD, Part 2

Continuous Analysis, Continuous Insights, and Data Quality: An Interview with Gordon Wong, Part 1

Building Data Science Systems: An Interview with Lauren S. Moores, PhD, Part 1

Data Quality Problems and How to Fix Them: An Interview with Michal Klos, Part 2

Data Quality Challenges for Data Scientists: An Interview with Michal Klos, Part 1

A Blog about Data Quality

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