Listen Score
LS 35
Global Rank
TOP 3%

ABOUT THIS PODCAST 🔗

Update frequency:
weekly
Average audio length:
14 minutes
Guest interviews
English
United States
261 episodes
since Jan. 16, 2017
episodic

AUDIENCE OF THIS PODCAST 🔗

~67.36% of listeners are from United States.
🇺🇸
US
67.36%
🇫🇮
FI
20.47%
🇸🇬
SG
2.63%
🇫🇷
FR
1.68%
🇬🇧
GB
1.62%
🇪🇸
ES
0.74%
🇯🇵
JP
0.47%
🇨🇦
CA
0.47%
🇦🇺
AU
0.47%
🇨🇱
CL
0.40%
🇩🇪
DE
0.40%
🇮🇳
IN
0.40%
🇺🇦
UA
0.40%
🇧🇷
BR
0.27%
🇰🇪
KE
0.27%
🇸🇪
SE
0.20%
🇮🇶
IQ
0.13%
🇵🇹
PT
0.13%
🇵🇭
PH
0.13%
🇮🇪
IE
0.13%
🇷🇺
RU
0.13%
Others
1.10%
* Data source: directly measured on Listen Notes. real-time

LATEST EPISODE 🔗

Discover best practices to scale Power BI effectively—improving performance, governance, and self-service across enterprise environments. Published at: https://datalere.com/articles/power-bi-best-practices-from-the-field-lessons-from-enterprise-deployments

SEARCH PAST EPISODES

Search past episodes of Secrets of Data Analytics Leaders.

PREVIOUS EPISODES

Chief Data Officers are expanding data sharing to drive productivity, innovation, and better decisions. Data marketplaces simplify access by connecting users to ready-to-use, high-value data through a centralized, self-service platform. Published at: https://www.eckerson.com/articles/how-data-produ…
All data management activities—whether internally or externally focused—should either reduce costs or grow earnings. Published at: https://www.eckerson.com/articles/book-review-how-to-make-money-with-data
This blog offers five guiding principles to help CIOs, CDOs, and team leaders optimize hybrid data environments. Published at: https://www.eckerson.com/articles/balancing-act-five-principles-to-optimize-hybrid-cloud-environments
This blog defines the governance requirements that streaming data pipelines must meet to make artificial intelligence/machine learning (AI/ML) initiatives successful. Published at: https://www.eckerson.com/articles/streaming-data-governance-three-must-have-requirements-to-support-ai-ml-innovation
Anthony Cosgrove, Co-founder at Harbr, tells us how successful data products focus on clear value propositions, tailored placement, intuitive packaging, and appropriate permissions. Published at: https://www.eckerson.com/articles/what-is-a-data-product
This blog, the second in a series, explores the mix of infrastructure types that support modern AI. Published at: https://www.eckerson.com/articles/cloud-on-prem-hybrid-oh-my-where-ai-adopters-host-their-projects-and-why
Despite $180 billion spent on big data tools and technologies, poor data quality remains a significant barrier for businesses, especially in achieving Generative AI goals. Published at: https://www.eckerson.com/articles/poor-data-quality-is-a-full-blown-crisis-a-2024-customer-insight-report
This blog discusses how GenAI and natural language processing are transforming SQL query generation, allowing non-technical users to access and query data easily. Published at: https://www.eckerson.com/articles/from-4gl-to-genai-how-sql-automation-has-evolved
This article by Piotr Czarnas, founder of DQOps, outlines a proven, team-based approach to tackling persistent issues like invalid data, delayed reporting, and inconsistent formats. Published at: https://www.eckerson.com/articles/overcoming-the-challenge-of-low-data-quality
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