Kategorie: Data quality

Posted in Analytics, Data careers, Data education, Data quality, Product analytics

Solving the speed vs. quality experimentation dilemma and growing the New York Times- an interview with Shane Murray

Contextualizing our world with data, part 4: Journalism. Solving the speed vs. quality dilemma and growing the New York Times, also during the Trump years. Shane Murray, Field Chief Technology Officer at Monte Carlo and former Senior Vice President of data & insights at The New York Times, talks with about experimentation and growing a digital subscriber business, the New York Times. Shane talks about how to solve the experimentation speed vs. quality dilemma – and often outright conflict – between business stakeholders and data teams. Shane also talks about how the New York Times transformed itself into a digital subscription product and tech company.

Posted in Data governance, Data quality, DataOps

Tackling machine learning enemy #1, poor data quality –  an interview with Sahar Changuel, PhD

Data quality is a business problem, as well as a tech problem. It is the biggest enemy of data-driven business and machine learning. Bad quality data can block or render a data project or machine learning use case unusable and thus a waste of money, human resources and time. Tackling data quality needs to be a targeted, systemic and ongoing, rather than a huge, one time cathartic event.

Posted in Data governance, Data Leadership, Data quality, Data strategy, Technical debt

Tech debt sloth breeds a culture of sloppy operations – An interview with Daniele Marmiroli, PhD

Tech debt is often unavoidable in most early stage startups. Not fixing the tech debt as a company gets traction and scales is more of a problem than the original creation of the tech debt. Turning a blind eye to tech debt has implications beyond the stack and creates an unstructured and sloppy culture.

Posted in Data governance, Data Leadership, Data quality, Data strategy

Data governance starts at both the C-Suite and metadata level of your organization- An interview with Laurent Dresse

Facilitating the interface between IT and business is data governance, which is filled with opportunity. There is no specific career path into data governance, but the ability to understand metadata and contextualize organizational insights to executives holds much opportunity.

Posted in Data governance, Data Leadership, Data quality, Data strategy, Strategy

The co-dependence between data governance and growth – An interview with Irina Nikiforova

Irinia Nikiforova explains what data governance is and why it is essential for any business that not only wants to survive, but use insights from data or data-driven products to drive growth.