In today’s global business environment, delivering data insights in the right language is more than a convenience, it’s a necessity. Sigma’s localization and language translation features are designed to empower users across different regions to access dashboards and analytics in their native language, promoting better...
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...
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