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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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In More Than Reports, Paul and Alex explore the many ways in which data technology can be used by small and midsize businesses to promote transformational growth. We talk openly about the opportunities and challenges companies face as they try to make sense of an increasingly complex environment. Together with our expert guests we break the facts away from the hype and never lose sight of our target: value.
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Are you on top of the latest innovations in data, analytics, and AI? With data being pivotal to strategy and change, the Data-powered Innovation Jam podcast gives you the key to some of the most crucial aspects of business success. Through our guests, we bring you the latest trends from the world of data and AI, discussing the best ideas and experiences. Our hosts with their decades of profound experience and a background in avant-garde music, will also explore the edges of jazz, rock, and p ...
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show series
 
Episode 4 of 6 in our Data Architecture series. Welcome to the 4th episode in our 6-part series, where we dive deep into the world of data architecture, breaking down why it matters and how it impacts your business. This week, we’re shining a spotlight on Operational Data Stores, or ODSs—an often-overlooked architecture that can provide real-time i…
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Blue is the new green! Data is key to achieving sustainability goals and a greener planet, but what about a bluer planet? Our guest, Heidi Karlsson, Director of Open Footprint Forum at The Open Group, joins us to ‘dive deep’ into this topic. As a facilitator in creating open data standards for global carbon emission exchange, Heidi shares insights …
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Episode 3 of 6 in our Data Architecture series. Ready to level up your data game? If your transactional system isn’t providing all the insights you need, it might be time to explore more powerful ways to extract information from your data. In today’s episode, we discuss the simplest way to store data in a database and introduce two essential concep…
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Many practitioners view data mesh and data fabric as mutually exclusive approaches to data strategy. However, these paradigms complement each other. Data mesh focuses on decentralization and autonomy; Data fabric ensures centralized integration and governance. Let’s dive into how blending elements of both can offer flexibility and control to create…
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Episode 2 of 6 in our Data Architecture series. Like many things, data architectures can range from simple to highly complex. In this episode, Paul and Alex explain what "simple" means when building a reporting and analytics solution for your business. The advancement of business intelligence (BI) tools make system of record (SOR) reporting much mo…
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What’s bigger news in 2025: The Gallagher brothers reuniting Oasis, or generative AI going enterprise scale? Tough call, but we’ll stick with AI for now. Just as Noel Gallagher’s grounded presence is complemented by his rebellious brother Liam, generative AI stands to benefit from Graph technology. Graphs bring context, semantics, and deeper unders…
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Episode 1 of 6 in our Data Architecture series. Paul and Alex start a series of conversations about the importance of data architecture. While business leaders at growing companies may have limited time to focus on technical issues, Paul and Alex demonstrate the significant value in understanding how different system designs affect outcomes. They d…
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Get ready for a compelling discussion on diversity in data! Expanding perspectives always uncovers fresh insights and new opportunities—and this is especially true in the world of data. Joining us is Jennifer Belissent, Principal Data Strategist at Snowflake, whose career journey embodies diversity itself. From Peace Corps volunteer to academic res…
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As organizations grapple with data spread across various storage locations, solutions like Coginiti Hybrid Query offer a much-needed alternative to fragmented tools.Published at:https://www.eckerson.com/articles/a-novel-approach-for-reducing-cloud-data-warehouse-expenses-from-coginitiBy Eckerson Group
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Business is all about staying ahead of the competition. Can data give you a competitive edge? People and the decisions they make determine a company’s success. In today’s world of information overload, a data-driven culture is essential to successfully compete. How does data inform your team members’ decisions? If you are thinking about how to leve…
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Remember the exciting days of data mesh not so long ago? A lot of organizations saw the potential of domain-owned data, federated governance, self-service platforms, and data as a product. Then ChatGPT hit the market, and everybody got distracted. Now the concepts are back, with a vengeance. Our guest of today, Pavel Doležal, indeed acknowledges it…
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Data teams must filter, blend, and refine raw data inputs to create the high-octane fuel that drives innovation with artificial intelligence and machine learning (AI/ML).Published at:https://www.eckerson.com/articles/refining-the-right-fuel-how-data-integration-drives-the-ai-ml-model-lifecycleBy Eckerson Group
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Your data, your choice—where you store it is up to you. While cloud vendors often make compelling pitches, their services come at a cost, and the truth is, it can add up quickly. For mid-market businesses, every dollar counts, and decisions about using the cloud for data storage, infrastructure, computing, integration, and analytics can have a majo…
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He was the first to teach an MBA AI course at Harvard Business School. He also wrote a book called ‘AI is a Waste of Money’, and he is the founder and CEO of Aible, a company that focuses on delivering seamless generative AI experiences and autonomous intelligence that chats with you. Would he be an interesting guest to discuss data and AI? We thou…
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Think data solutions are only for big enterprises? Think again. This episode explores how small and mid-sized businesses can build effective data systems without breaking the bank. While technology prices are dropping, overall spending continues to rise—especially in the world of data. Increased data volumes play a role, but there’s more to the sto…
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How do you measure the value of a data solution? How much is a dashboard really worth to your business? ROI, or return on investment, is the go-to metric for evaluating the viability of capital projects. But how does it apply to data projects? While data pipelines and dashboards may not directly generate revenue, they’re crucial for organizing your…
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Many data leaders want to implement self-service, but don’t realize that they first have to implement the right architecture, governance, operating model, project delivery approach, data, and change management plan.Published at:https://www.eckerson.com/articles/self-service-is-the-outcome-not-the-driver-of-a-data-driven-organization…
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What are the roles in a successful data team? In this episode, Paul meets with Alex again to discuss data teams. If all decision-making depends on good information, what's the best way to organize people to manage it? We also reflect on the evolving role of technology. The abundance of technology at our disposal today is not making the role of peop…
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Welcome to More Than Reports, a podcast for business leaders looking for that edge that will allow their vision to turn into reality. This podcast is a continuation of an audio podcast series I started years ago, Love Your Reports. I have graduated to video now and decided on a name change. On More Than Reports, I will be sharing insights on how da…
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All businesses depend on information systems to function. Are transactional systems sufficient? What about spreadsheets? Are they enough when it comes to producing reports? With so many systems around, should growing companies invest on reporting systems? How far can you get without one? In this episode Paul Felix (founder of LeapFrogBI) explores t…
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Join Paul B. Felix on "More Than Reports," where we offer practical solutions and data-driven results for business leaders. Listen as we: Tackle real-world data challenges Answer questions about data technology Share best practices for managing complex data environments We go beyond the buzz to help you make the most of your data. It's not just abo…
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Data analytics is a balance of flexibility for innovation and governance to control risks. This blog discusses its implications for artificial intelligence (AI), including machine learning (ML) and generative AI (GenAI).Published at:https://www.eckerson.com/articles/ai-ml-innovation-requires-a-flexible-yet-governed-data-architecture…
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Non-profit organizations are more mission-driven, consensus-driven, and resource-constrained than commercial organizations. As a result, it’s imperative that non-profits develop a data strategy before plunging into building data solutions. It will save them time, money, and burnout in the long run.Published at: https://www.eckerson.com/articles/why…
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Explore the reasons for data engineers to collaborate with data scientists, machine learning (ML) engineers, and developers on DataOps initiatives that support GenAI.Published at:https://www.eckerson.com/articles/dataops-for-generative-ai-data-pipelines-part-iii-team-collaborationBy Eckerson Group
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This blog defines conversational BI, why companies should consider it, and how their power and casual users can best get the desired results.Published at:https://www.eckerson.com/articles/driving-results-with-conversational-bi-best-practices-for-power-and-casual-usersBy Eckerson Group
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Data engineering is now considered a crucial job in IT as Generative AI, the hottest technology of this decade, relies on data engineers to provide accurate inputs.Published at:https://www.eckerson.com/articles/data-engineering-for-genai-how-to-optimize-data-pipelines-and-governanceBy Eckerson Group
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Companies that adopt DataOps increase the odds of success by making GenAI data pipelines what they should be: modular, scalable, robust, flexible, and governed.Published: https://www.eckerson.com/articles/dataops-for-generative-ai-data-pipelines-part-ii-must-have-characteristicsBy Eckerson Group
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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 balloonin…
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"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…
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In the time it will take you to listen to this podcast episode, parts of it might already be out of date. AI is evolving at a breathtaking pace, yet most companies still struggle with adding it to their workflows in ways which will add business value. And this is the uncomfortable truth that few have addressed head-on: if AI can improve your employ…
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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-…
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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.ecker…
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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 pus…
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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-architectureBy Eckerson Group
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