Data issues bookends, understand problem with data? with Bipin Chadha at Ascential
The Data Standard
Data quality is important to the business. That you know. But do you understand what it takes to provide data quality. In this podcast, we’ll review how data quality problems can arise. Briefly defined, data quality refers to the ability of a data set to serve whichever need a company hopes to use it for. That need could be sending marketing materials to customers. It could be studying the market to plan a new product feature. It could be maintaining a database of customer data for help with product support services, or any number of other goals.
Meet The Host
Co-Founder & Board Member of HiQ Labs
Darren Kaplan is 2x Founder and recognized as one of the Top 20 Data Science Influencers in 2020. Darren is the co-creator of The Data Standard, the premier networking user-community for data-science, data engineers, and cybersecurity enthusiasts.
Meet The Guest
Chief Data Scientist at Ascential
Executive Leader and a hands-on Data Scientist with expertise in all facets of enterprise leadership including business architecture, strategic optimization and outcomes, predictive and prescriptive analytics, pricing, marketing, and risk modeling, building global cross-functional teams, and systems thinking. Adept at building strong trusting relationships, cultivating partnerships with stakeholders, analyzing data to mitigate risks, resolving issues, and capitalizing strategic opportunities. Skilled in understanding complex business challenges, creating new application concepts/AI algorithms with quantified business impacts (2 patents), and aligning workflows to transform business models into bottom-line results.