Secrets of Data Analytics Leaders
Listen to data and analytics leaders share the secrets of their success. Wayne Eckerson, long-time global thought leader interviews guests who run data and analytics programs at Fortune 2000 organizations around the world. Tune in to stay abreast of the latest technologies, techniques, and trends in our fast-paced industry.
Episodes
April 19, 2024 • 32 mins
Most data leaders want to deliver data products, but few are doing it.
Let's face it: most data teams today function as internal service bureaus that fulfill customer requests that arrive via ticketing systems, email, handwritten notes, or calls from colleagues looking for a favor. Most work double time to keep their request backlogs from ballooning from weeks to months. In this environment, few data leaders have time or capacity...
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April 18, 2024 • 9 mins
GenAI can help data engineers become more productive, and data engineering can help GenAI drive new levels of innovation.
Published at:
https://www.eckerson.com/articles/achieving-fusion-how-genai-and-data-engineering-help-one-another
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March 21, 2024 • 6 mins
Discover how master data management (MDM) provides language models with high-quality enterprise data to improve their response accuracy.
Published at:
https://www.eckerson.com/articles/improving-genai-accuracy-with-master-data-management
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March 7, 2024 • 7 mins
Explore our four primary criteria for evaluating conversational BI products.
Published at:
https://www.eckerson.com/articles/genai-driven-analytics-product-evaluation-criteria-for-conversational-bi
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March 4, 2024 • 8 mins
The success of Generative AI depends on fundamental disciplines like DataOps.
Published at:
https://www.eckerson.com/articles/dataops-for-generative-ai-data-pipelines-part-i-what-and-why
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February 29, 2024 • 8 mins
With the increasing adoption of Generative AI, learn how data governance will add value to and benefit from Generative AI.
Published at:
https://www.eckerson.com/articles/data-governance-in-the-era-of-generative-ai
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February 28, 2024 • 6 mins
"Meet the business where it is." If you're on the data team, that's what you're expected to do to empower stakeholders with data. But how far should you go to meet the business? And shouldn’t the business be expected to move a little toward meeting the data where it is?
Published at:
https://www.eckerson.com/articles/meeting-the-data-where-it-is-time-for-the-business-to-step-up
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February 20, 2024 • 7 mins
The European Union recently passed the first of its kind legal framework on the development, use, and governance of artificial intelligence. It lays out rules and standards with the aim of ensuring technologies are safe and transparent, and do not violate the fundamental rights of an individual.
Published at:
https://www.eckerson.com/articles/the-eu-ai-act-and-the-emergence-of-new-global-standards
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February 12, 2024 • 7 mins
Most organizations are committed to responsible and ethical use of AI. Yet anticipating unintended consequences before designing and implementing AI can be challenging. This framework and process helps evaluate short-term and long-term impacts across multiple dimensions so you can mitigate AI’s unintended consequences.
Published at:
https://www.eckerson.com/articles/mitigating-ai-s-unintended-consequences
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February 9, 2024 • 33 mins
It's not easy being the head of data & analytics at a large organization. You must align a large team across multiple disciplines; you must deal with oodles of legacy systems and tools that hamper innovation; and you must deliver business value fast to keep executives at bay and your job intact. You also need to recruit dynamic managers who can push the envelope while meeting operational objectives. And when you falter--which you i...
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January 24, 2024 • 10 mins
Adopting community of practice principles, along with coaching and mentoring, is a practical approach to fostering and cultivating data literacy.
Published at:
https://www.eckerson.com/articles/a-people-first-approach-to-developing-data-literacy
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January 17, 2024 • 10 mins
This blog examines the upcoming trend of domain-specific LLMs and evaluates three different methods of implementation.
Published at:
https://www.eckerson.com/articles/the-next-wave-of-generative-ai-domain-specific-llms
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January 10, 2024 • 9 mins
Many machine learning (ML) use cases center on real-time calculations. This article defines streaming ML and its architectural components.
Published at:
https://www.eckerson.com/articles/machine-learning-and-streaming-data-pipelines-part-i-definitions-and-architecture
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January 8, 2024 • 20 mins
Companies need to invest heavily in teams and people, both at corporate and in the field, if they want to become a data-driven organization.
Published at:
https://www.eckerson.com/articles/organizing-for-success-part-iii-how-to-organize-and-staff-data-analytics-teams
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January 5, 2024 • 15 mins
Data management practices have changed substantially since the early 1990s and the dawn of data warehousing.
Published at:
https://www.eckerson.com/articles/the-continuing-evolution-of-data-management
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January 4, 2024 • 7 mins
Conventional data governance conflicts with today’s world of self-service analytics and agile projects.
Published at:
https://www.eckerson.com/articles/modern-data-governance-problems
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December 20, 2023 • 11 mins
Let's reflect on the events of the past year and prognosticate on what may transpire in the months ahead.
Published at:
https://www.eckerson.com/articles/trends-for-2024-our-team-gazes-into-the-crystal-ball
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December 15, 2023 • 9 mins
Data leaders must prepare their teams to deliver the timely, accurate, and trustworthy data that GenAI initiatives need to ensure they deliver results. They can do so by modernizing their environments, extending data governance programs, and fostering collaboration with data science teams.
Published at:
https://www.eckerson.com/articles/the-data-leader-s-guide-to-generative-ai-part-i-models-applications-and-pipelines
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December 14, 2023 • 11 mins
Data modeling is a core skill of data engineering, but it is missing or inadequate in many data engineering teams. These teams focus on moving data with little attention to shaping the data. They engineer processes, not products. Full data engineering is both process and product engineering, and that calls for data modeling.
Published at:
https://www.eckerson.com/articles/a-fresh-look-at-data-modeling-part-2-rediscovering-the-lost-...
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November 15, 2023 • 7 mins
The hardest part about implementing data products is fostering a product mindset among the people responsible for defining, governing, building, and shipping data products. It’s also important that an organization establish processes to facilitate the work of the product team and review boards.
Published at:
https://www.eckerson.com/articles/data-products-part-ii-data-products-require-product-thinking
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