Latest articles
To improve data quality for better AI stop fixing it
Unlocking enhanced AI quality requires a shift in focus. Instead of fixating on data correction, redirect efforts towards refining the processes that generate it. Embrace flaws as pathways to process improvement. Let data remain an unaltered representation of reality, nurturing a culture of evolution for better AI outcomes.
Unleashing the Power of Low-Code
Speed, agility, and scalability are paramount to meet business expectations. Low code has quickly gained popularity as a powerful tool that complements full code solutions, enabling data teams and business users. Here are the benefits of low-code in data consultancy and its impact on the development cycle.
How to make data governance practical using datasets
Are you also struggling getting a grip on the amount of data in your organisation? Is your data properly catalogued, making it easy to find the right data through the massive amount of metadata?
Organise your data into datasets to make data governance practical.
Do you want to discover a new data revolution?
Central for de-central data teams: start acting as a (temporary)…
Using Data Mesh to Organise Data Management
Comparing data mesh vs traditional data management shows that one is not necessarilly beneficial above the other
Unlock new skills: design & data
Have you thought of how design can make or break the value you get from your data
Your web3 data value: successful and reliable
Your web3 data value: successful and reliable. Data sharing is enabled by the decentralized web3, creating new ways to identify the value of data.
A brief guide to productize data
Utilizing data as the new oil requires a standard model to become successful. Don’t fall into pitfalls such as too large focus on data science or data platform tooling. Go from prototype to full data monetization.
Launching synthetic data within your company? Understand results and possibilities!
With the rise of Artificial Intelligence (AI) and Machine Learning, the need for large and rich (test) data sets is even more rising. These data sets will improve performance and results of machine learning models. This blog contains quality assurance for synthetic data
Latest podcasts
Democritisation of data analytics
Paula Hansen (President and Chief Revenue Officer at Alteryx Technologie) on: how data democratisation is empowering businesses in their digital transformation. Learn how democratization provides access to data and analytics tools for employees of all levels, fostering innovation, improving operational efficiency, and driving overall business growth. At D8A we see the importance of governance, reliability, and user-friendliness for digital maturity and competitive edge of companies. Paula shares her vision on how Alteryx Technologies & democratized data empowers that!
Host note: True to the speed of growth and change in the analytics market, Paula Hansen is departing Alteryx as of July 3 and leaves a legacy of having helped build one of the most beloved analytics platforms in the market. We wish her well!
The product is data
Paolo Platter (founder at AgileLab) on one of the four pillars of the data mesh paradigm: data as a product.
How to go green with data analytics
Pierre Louis Usselman, founder at Sweeft.ai shares about his journey in bringing analytics to mobile devices and the discoveries he made regarding the sustainability of analytical operations. He talks about Sweeft’s framework and product, helping companies reduce carbon emissions in the data analytics lifecycle.
How to unboss your data platform
Axel Goris (Founder at dataXPdesign) on: what is needed to create a healthy data platform using his self-service development framework: “unboss, enable and accelerate”. Axel explains how to shift the workload from IT to the business, using risk assessments as a tool to facilitate communication between business and IT.
Revving up your data quality
Mark de Brauw (Cofounder at Mesoica) on: how data quality is traditionally addressed as a technical issues rather than a business issue. Mark explains how more than a data governance is required in order to implement successful data quality management processes. He explains the advantage of using dedicated data quality tooling that support business users.
Material Science with Materials Zone
Ori Yudilevich (Chief Technology Officer at Materials Zone) on: the…
Trends and Developments in Data Analytics Consulting
Ryan Price (Executive Data & Artificial Intelligence at Avanade) on:…