Bottom Line Up Front: Semantic layers are transforming how organizations manage and deliver data analytics by providing a unified, context-rich middleware that translates raw data into consistent, accessible insights across all business applications — from traditional BI tools to AI-powered agents. The data analytics landscape is...
In today’s fast-paced urban environments, efficient traffic management is crucial for reducing congestion, improving safety and optimising public transport. Real-time data streaming enables city planners and transport companies to make instant, data-driven decisions. While traffic management is a compelling example, it’s just one of many...
Ladies and gentlemen, readers of all ages, I come bearing news: Now that June has passed, we are now halfway through the 2020's. Also, that means that we are now closer to the year 2050 than we are the year 2000. Now that I have inflicted...
Over the past 12 months, I've sat in more exec meetings, virtual strategy sessions and innovation labs than I can count. The message is crystal clear: AI is no longer a futuristic ambition — it's a strategic imperative. Yet many organizations across Mainland Europe are still...
BI Crossroads and the Current State of the Industry For years, the business intelligence (BI) industry has promised self-service analytics, democratized insights and agile decision-making. But most organizations are still stuck in the same old loop: open the dashboard, export to Excel, clean, combine, rebuild and...
If you’ve been following InterWorks over the years, you know we love a good metaphor for data and analytics concepts. Our newest metaphor might just be our freshest one yet. We call it the Data Laundry Cycle. I’ll give a quick explanation of how it...
The landscape of project management is evolving rapidly, and nowhere is this more evident than in the data and business intelligence space. As organizations increasingly recognize data as a strategic asset, the role of project managers in this domain has become more complex, demanding and...
Now that we’ve laid out the framework for what strong Data Governance strategies look like and the steps to achieve them, let’s round out this series by briefly going over a few common challenges you’re likely to face when you embark on your data governance...
Now that we’ve helped define and contextualize data governance in our previous blog post, let’s go over some steps we can take to ensure success. This time, instead of Maslow’s Hierarchy of Needs, we’re going to build from the bottom up as if we’re starting...
Happy Analytics and BI Platform Magic Quadrant release to all who celebrate. Usually when these reports drop, I feel like I'm reading last year's news today. But this time, Gartner made genuinely astute observations about where this market is headed, even if their individual vendor...
Jumping into the world of interactive data apps can be intimidating, and understanding how to set up input tables correctly is vital to creating a functional app. Luckily, InterWorks is here to help. We’ve created a concise guide to clarify how and when to use...
The Databricks Data and AI Summit (DAIS) has once again brought together industry leaders, innovators and data enthusiasts from around the world. There were many exciting announcements, but I'll focus on the ones that stood out the most and will have an impact on the...
Why Sigma? For many data users, dashboards represent the end of the data lifecycle. Data is ingested, transformed, cleaned, analyzed and finally visualized to support understanding and decision-making. Dashboards may have different filters or ways to change views, but even with the most advanced visualization capabilities,...
Starting my internship at InterWorks, I was introduced to Sigma – a cloud-based analytics platform that promised to revolutionize the way I approached data. However, I wasn’t prepared for what I was about to discover. From its seamless integration with various data sources to its...
Our stretch of conferences for 2025 continues next week with the highly anticipated Databricks Data + AI Summit, held in San Francisco (and online!) from June 9-12. Databricks has been making some serious waves the past few years. Their Data Intelligence Platform, built on an...
What Is Ethical Debt? The concept of ethical debt is starting to become a rigorous conversation among enterprise architects. The simple definition is an accumulation of risks from compromising proper ethical standards during development. Organizations are familiar with technical debts; we know they create lower-quality products...
Generative AI continues to capture our collective imagination, and if my feeds are any indication, we're finding new words to describe them all the time — chatbots, copilots, agents and more. But what's the reality here? What do practical AI workloads actually look like? Single-LLM Features These...
There's a story we tell ourselves about data in organizations. It goes something like this: Information wants to be free. Give people access to data, democratize it (as consultants like us tend to say) and better decisions will flow throughout the organization. Empowered employees will...
Welcome back, blog readers! We hope you all had an excellent May. Here in our home state of Oklahoma, the April showers that bring May flowers were a bit delayed this year. This upcoming week, for example, has central Oklahoma projected to be the wettest...
Building robust, automated ingestion pipelines often means stitching together cloud storage, monitoring tools, ETL jobs and error handling logic, all living outside your data warehouse. With Snowflake Openflow, ingestion becomes native, event-driven and easier to manage, all from within Snowflake itself. Today, we’ll cover what Openflow...
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