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We write, draw, and share content that reflects our insights on achieving data excellence.
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Sievax is dedicated to enriching the data community by offering a wealth of open content, including drawings, articles, and videos. With this wealth of resources, we aim to inspire organizations on their journey toward data excellence. Every now and then, we take a bold step to share our latest insights, tips, and tricks with the wider internet community. At the heart of our philosophy is the belief that ‘sharing is caring’, underscoring our commitment to disseminate valuable knowledge and foster a culture of openness and collaboration.
Data Quality Rules
Have questions about your data strategy? Let’s find the right approach for your business—book a call with Jan today.In this episode of Drawing Data, we dive into data quality management—specifically, how to distinguish good data from bad. How can you create an...
Data Quality Management
Have questions about your data strategy? Let’s find the right approach for your business—book a call with Jan today.In this second episode of Drawing Data, we dive into data quality management—why it’s important and how to keep your data clean and trustworthy. Using a...
From Data to Value
Have questions about your data strategy? Let’s find the right approach for your business—book a call with Jan today.In the first episode of Drawing Data, we dive into three essential questions that shape every successful data strategy: Why, What, and How. Watch the...
Data Usability: How to Build Better Data Products?
Looking ahead to the future, the utilization of data is poised to become a prevailing norm, empowering intelligent workflows and effortless human-machine interactions. In materializing this vision, a crucial aspect is the consideration of data usability. Data products...
Data Ingestion: Architectural Patterns
Ingestion is pivotal for transferring data from a wide range of sources in its original operational context—often called the 'operational plane'—to the domain of analysis, or the 'analytical plane'. This transition is vital for maximizing the benefits of data...
Data Driven Management: The Why, Who, What and How?
While many organizations aspire to become data-driven, a significant portion of them tends to focus narrowly on the technical aspects of data, treating it primarily as a technical asset. Consequently, their investments and initiatives often center around...
Data Product Boxes
Deciphering Data Terminology: Asset, Product, Dataset - What Exactly is Data?We developed an analogy centered around a "box" (or parcel) to simplify the concept of data products into three critical components.1 - Inside the box This is where the actual data resides –...
Business Value of AI
In the world of AI, many discuss "Business Value" but only few can clearly articulate its actual meaning.The paper "Artificial Intelligence and Business Value: a Literature Review" by Ida Merete Enholm, Emmanouil P., Patrick Mikalef and John Krogstie offers an...
Party in the Front, Firefighting in the Back
In the world of digital transformation, there often exists a deceptive dichotomy: Party in the front and firefighting in the back.Party in The Front The organization is reinventing the way it works: Celebration of cutting-edge tools automating processes. Users...