Secrets of Data Analytics Leaders

By Eckerson Group

What's Secrets of Data Analytics Leaders about?

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.

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Secrets of Data Analytics Leaders episodes:

04.19.2024
Achieving Success with Data Products: An Interview with Henrik Strandberg
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...
04.18.2024
Achieving Fusion: How GenAI and Data Engineering Help One Another - Audio Blog
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
03.21.2024
Improving GenAI Accuracy with Master Data Management - Audio Blog
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
03.07.2024
GenAI-Driven Analytics: Product Evaluation Criteria for Conversational BI - Audio Blog
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
03.04.2024
DataOps for Generative AI Data Pipelines, Part I: What and Why - Audio blog
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
02.29.2024
Data Governance In The Era Of Generative AI - Audio Blog
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
02.28.2024
Meeting the Data Where It Is: Time for the Business to Step Up - Audio Blog
"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...
02.20.2024
The EU AI Act and the Emergence of New Global Standards - Audio Blog
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...
02.12.2024
Mitigating AI’s Unintended Consequences - Audio Blog
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...
02.09.2024
Interview with Tiffany Perkins-Munn
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...
01.24.2024
A People-First Approach to Developing Data Literacy - Audio Blog
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
01.17.2024
The Next Wave of Generative AI: Domain-Specific LLMs - Audio Blog
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
01.10.2024
Machine Learning and Streaming Data Pipelines, Part I: Definitions and Architecture - Audio Blog
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
01.08.2024
Organizing for Success Part III: How to Organize and Staff Data Analytics Teams - Audio Blog
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
01.05.2024
The Continuing Evolution Of Data Management - Audio Blog
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
01.04.2024
The Path To Modern Data Governance - Audio Blog
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
12.20.2023
Trends for 2024: Our Team Gazes into the Crystal Ball - Audio Blog
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
12.15.2023
The Data Leader’s Guide to Generative AI, Part I: Models, Applications, and Pipelines - Audio Blog
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...
12.14.2023
A Fresh Look at Data Modeling Part 2: Rediscovering the Lost Art of Data Modeling - Audio Blog
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...
11.15.2023
Data Products Part II: Data Products Require Product Thinking - Audio Blog
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...
11.14.2023
A Fresh Look at Data Modeling Part 1: The What and Why of Data Modeling - Audio Blog
Many organizations abandoned data modeling as they embraced big data and NoSQL. Now they find that data modeling continues to be important, perhaps more important today than ever before. With a fresh look you’ll see that today’s data modeling is...
11.14.2023
Data Democratization and the Duties of Data Citizenship - Audio Blog
Data democratization is the buzzword to describe empowering enterprise stakeholders with data. While there have been advances in data management, governance, and analytics, something keeps getting in the way of achieving data democratization. Published at: https://www.eckerson.com/articles/data-democratization-and-the-duties-of-data-citizenship
11.13.2023
Generative AI Needs Vigilant Data Cataloging and Governance - Audio Blogs
Our industry’s breathless hype about generative AI tends to overlook the stubborn challenge of data governance. Data catalogs address this challenge by evaluating and controlling the accuracy, explainability, privacy, IP friendliness, and fairness of GenAI inputs. Published at: https://www.eckerson.com/articles/generative-ai-needs-vigilant-data-cataloging-and-governance
11.10.2023
Why and How to Enable Data Science with an Independent Semantic Layer - Audio Blog
The need for an independent semantic layer continues to rise as data science gains traction in the enterprise. Its five primary elements—metrics, caching, metadata management, APIs, and access controls—support AI/ML use cases as part of data science projects. Published at: https://www.eckerson.com/articles/why-and-how-to-enable-data-science-with-an-independent-semantic-layer
10.19.2023
Weighing the Risk and Reward of AI: A Non-Technical Guide for Business Leaders - Audio Blog
Business leaders can address AI bias and use it to have rational discussions about management and human bias. Published at: https://www.eckerson.com/articles/weighing-the-risk-and-reward-of-ai-a-non-technical-guide-for-business-leaders
09.25.2023
An Architectural View Of Metadata Management - Audio Blog
Most organizations view data as an asset to be actively managed with standards, controls, and discipline. Yet, they are passive and casual about metadata. Data is managed. Metadata happens. As data management becomes more complex, metadata management is becoming an...
09.18.2023
Analyst Series: Should AI Bots Build Your Data Pipelines?
Kevin Petrie, the Vice President of Research at Eckerson Group, and Dan O’Brien, research analyst, discussed large language models (LLMs), which are neural networks that analyze text to predict the next word or phrase. These models use training data, often...
09.13.2023
The New Data Pipeline For Generative AI: Where And How It Works - Audio Blog
Generative AI initiatives require new data pipelines that prepare text files for querying by language models. Data engineers, scientists, and other stakeholders collaborate to design and implement these pipelines, which span text sources, tokens, vectors, vector databases, and LMs. Published at: https://www.eckerson.com/articles/the-new-data-pipeline-for-generative-ai-where-and-how-it-works
09.07.2023
Analyst Series - Operating Models for Data & Analytics: How to Align Resources Across the Enterprise
Dan and Wayne discussed the concept of data and analytics operating models, which refers to how organizations organize their data and analytics resources for alignment and efficiency.
08.30.2023
Driving ROI With Master Data Management, Part III: Project Iteration - Audio Blog
This final blog in our series on the ROI of master data management recommends ways for data teams to iterate their MDM initiatives based on the successes and failures of their first project. Published: https://www.eckerson.com/articles/driving-roi-with-master-data-management-part-iii-project-iteration
08.25.2023
AIThe Opportunity And Risk Of Generative AI, Part III: Responsible AI Ethics - Audio Blogs
Responsible AI ethical principles provide a clear, unifying purpose for the technological, business, and social goals of AI initiatives. Published at: https://www.eckerson.com/articles/the-opportunity-and-risk-of-generative-ai-part-iii-responsible-ai-ethics
08.15.2023
Let’s Be Clear: A Data Asset Is Not A Data Product - Audio Blog
Most definitions of a data product conflate it with a data asset. The only way to turn a data asset into a data product is to publish it in a data store along with metadata about subscription and delivery options,...
08.10.2023
The Opportunity and Risk of Generative AI Part II - Audio Blogs
Responsible AI can help data leaders comply with the fast-evolving regulatory environment of data and artificial intelligence. Published at: https://www.eckerson.com/articles/the-opportunity-and-risk-of-generative-ai-part-ii-how-responsible-ai-assists-compliance
08.10.2023
Enterprise Data And The Taming Of The Generative AI Frontier - Audio Blog
US frontier history had races, risks, and rewards. Generative AI's future will follow a similar path. Published at: https://www.eckerson.com/articles/enterprise-data-and-the-taming-of-the-generative-ai-frontier
08.02.2023
Analyst Series - Data Fabric: The Next Step in the Evolution of Data Architectures
Dan and Jay discussed the concept of Data Fabric, an automated and AI-driven approach to managing modern data environments.
08.02.2023
Collaboration Podcast: The Future of ML Governance and Data Management with Kevin Petrie
Simba Khadder and Kevin Petrie discuss strategies to overcome technical debt in implementation, the pivotal role of data in the success of ML projects, navigating regulatory compliance in machine learning, and the future of AI governance.
07.25.2023
Driving ROI with Master Data Management, Part II: Your First Project - Audio Blog
Learn how to attain an optimal return on investment (ROI) with MDM by choosing the appropriate architectural strategy and evaluating progress during the initial project implementation. Published at: https://www.eckerson.com/articles/driving-roi-with-master-data-management-part-ii-your-first-project
07.10.2023
Four Traps to Avoid When Developing Data Products - Audio Blogs
As organizations strive to meet the ever-growing demand for data, they are adopting data products to streamline delivery and ensure solutions provide value to business stakeholders. Learn about four traps that can disrupt data product development and how to avoid...
07.05.2023
The Opportunity and Risk of Generative AI Part I: A Nuclear Explosion - Audio Blog
Generative AI brings a promise to improve lives in a blistering innovation race, but also a threat to people, corporations, and even nations. Data analytics leaders must understand the risks of generative AI, both societal and business-related, to use it...
07.05.2023
DataOps In Data Engineering - Audio Blog
The unbundling of the data ecosystem is causing organizations to “duct tape” products and frameworks together to build their solutions and data delivery processes. Organizations fail to build and deploy end-to-end, automated, repeatable data-driven systems, ignoring data engineering & dataops...
07.05.2023
Should AI Bots Build Your Data Pipelines? Part IV - Audio Blog
This blog recommends guiding principles for successful implementation of language models to assist data engineering. Published at: https://www.eckerson.com/articles/should-ai-bots-build-your-data-pipelines-part-iv-guiding-principles-for-success-with-language-models-and-data-engineering
07.05.2023
Should AI Bots Build Your Data Pipelines Part III - Audio Blog
An emerging approach to generative AI will help data engineering teams achieve much-needed productivity gains while controlling risk. Published at: https://www.eckerson.com/articles/should-ai-bots-build-your-data-pipelines-part-iii-the-emergence-of-small-language-models-for-data-engineering
06.28.2023
Analyst Series: Governing Costs with FinOps for Cloud Analytics
Dan O'Brien and Kevin Petrie discuss FinOps, which is a cost governance discipline for cloud-based analytics and operational projects.
06.27.2023
Independent Study: BI Vendor Messaging Shows Lack of Differentiation - Audio Blog
An annual assessment of the positioning strategies of the leading 21 BI vendors finds a lack of differentiation that makes it difficult for buyers to compare products. In the BI market’s sea of sameness, Qlik is the only vendor that...
06.27.2023
Driving ROI with Master Data Management, Part 1: Build Your Business Case - Audio Blog
MDM creates business value in three ways: it streamlines infrastructure, streamlines processes, and reduces risk. Published at: https://www.eckerson.com/articles/driving-roi-with-master-data-management-part-1-build-your-business-case
06.21.2023
The Universal Semantic Layer: More Than Enough?
“Universal” semantic layer tools introduced in recent years promise to standardize business metrics across the data stack, and eliminate silos of metrics trapped in semantic layers that are limited to specific data sources or BI platforms. This post offers considerations...
06.15.2023
Analytics Center of Excellence Part I: How to Shape the Organization - Audio Blog
An Analytics Center of Excellence empowers business teams to meet their own data needs by changing the role of IT from developer to facilitator. The reality, however, is that IT needs be both a facilitator and a developer. Published at: https://www.eckerson.com/articles/analytics-center-of-excellence-part-i-how-to-shape-the-organization
06.15.2023
The Modernizing Data Stack: Three Ways to Balance New and Old - Audio Blog
Traditional companies must balance new and old technologies as part of an ever-modernizing data stack. This blog explores how companies strike the right balance to navigate economic uncertainty, AI disruption, and the need for tool consolidation. Published at: https://www.eckerson.com/articles/the-modernizing-data-stack-three-ways-to-balance-new-and-old
06.15.2023
Should AI Bots Build Your Data Pipelines? Part II - Audio Blog
LLMs are hugely popular with data engineers because they boost productivity. But companies must adapt their data governance programs to control risks related to data quality, privacy, intellectual property, fai-Datarness, and explainability. Published at: https://www.eckerson.com/articles/should-ai-bots-build-your-data-pipelines-part-ii-risks-and-governance-approaches-for-data-engineers-to-use-large-language-models
06.14.2023
Data Products: Part of a Data Mesh Initiative or a Stand-Alone Strategy - Audio Blog
Despite innovations in data architecture, infrastructure, and analytics, most organizations today still struggle to realize the promised value of data. Learn how the data mesh principle of data as a product can help, as part of a data mesh initiative...

What's Secrets of Data Analytics Leaders about?

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Secrets of Data Analytics Leaders episodes:

Achieving Success with Data Products: An Interview with Henrik Strandberg

Achieving Fusion: How GenAI and Data Engineering Help One Another - Audio Blog

Improving GenAI Accuracy with Master Data Management - Audio Blog

GenAI-Driven Analytics: Product Evaluation Criteria for Conversational BI - Audio Blog

DataOps for Generative AI Data Pipelines, Part I: What and Why - Audio blog

Data Governance In The Era Of Generative AI - Audio Blog

Meeting the Data Where It Is: Time for the Business to Step Up - Audio Blog

The EU AI Act and the Emergence of New Global Standards - Audio Blog

Mitigating AI’s Unintended Consequences - Audio Blog

Interview with Tiffany Perkins-Munn

A People-First Approach to Developing Data Literacy - Audio Blog

The Next Wave of Generative AI: Domain-Specific LLMs - Audio Blog

Machine Learning and Streaming Data Pipelines, Part I: Definitions and Architecture - Audio Blog

Organizing for Success Part III: How to Organize and Staff Data Analytics Teams - Audio Blog

The Continuing Evolution Of Data Management - Audio Blog

The Path To Modern Data Governance - Audio Blog

Trends for 2024: Our Team Gazes into the Crystal Ball - Audio Blog

The Data Leader’s Guide to Generative AI, Part I: Models, Applications, and Pipelines - Audio Blog

A Fresh Look at Data Modeling Part 2: Rediscovering the Lost Art of Data Modeling - Audio Blog

Data Products Part II: Data Products Require Product Thinking - Audio Blog

A Fresh Look at Data Modeling Part 1: The What and Why of Data Modeling - Audio Blog

Data Democratization and the Duties of Data Citizenship - Audio Blog

Generative AI Needs Vigilant Data Cataloging and Governance - Audio Blogs

Why and How to Enable Data Science with an Independent Semantic Layer - Audio Blog

Weighing the Risk and Reward of AI: A Non-Technical Guide for Business Leaders - Audio Blog

An Architectural View Of Metadata Management - Audio Blog

Analyst Series: Should AI Bots Build Your Data Pipelines?

The New Data Pipeline For Generative AI: Where And How It Works - Audio Blog

Analyst Series - Operating Models for Data & Analytics: How to Align Resources Across the Enterprise

Driving ROI With Master Data Management, Part III: Project Iteration - Audio Blog

AIThe Opportunity And Risk Of Generative AI, Part III: Responsible AI Ethics - Audio Blogs

Let’s Be Clear: A Data Asset Is Not A Data Product - Audio Blog

The Opportunity and Risk of Generative AI Part II - Audio Blogs

Enterprise Data And The Taming Of The Generative AI Frontier - Audio Blog

Analyst Series - Data Fabric: The Next Step in the Evolution of Data Architectures

Collaboration Podcast: The Future of ML Governance and Data Management with Kevin Petrie

Driving ROI with Master Data Management, Part II: Your First Project - Audio Blog

Four Traps to Avoid When Developing Data Products - Audio Blogs

The Opportunity and Risk of Generative AI Part I: A Nuclear Explosion - Audio Blog

DataOps In Data Engineering - Audio Blog

Should AI Bots Build Your Data Pipelines? Part IV - Audio Blog

Should AI Bots Build Your Data Pipelines Part III - Audio Blog

Analyst Series: Governing Costs with FinOps for Cloud Analytics

Independent Study: BI Vendor Messaging Shows Lack of Differentiation - Audio Blog

Driving ROI with Master Data Management, Part 1: Build Your Business Case - Audio Blog

The Universal Semantic Layer: More Than Enough?

Analytics Center of Excellence Part I: How to Shape the Organization - Audio Blog

The Modernizing Data Stack: Three Ways to Balance New and Old - Audio Blog

Should AI Bots Build Your Data Pipelines? Part II - Audio Blog

Data Products: Part of a Data Mesh Initiative or a Stand-Alone Strategy - Audio Blog

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