Next Generation Enterprise Architecture: Self-describing Enterprise Architectures
Current Enterprise Architecture tools help you to document the past, at best the status-quo. Next Generation Enterprise Architecture need to describe themselves!
Category Data
Inside getacon: How AI helps our business?
At getacon, we leverage artificial intelligence (AI) to support the matching of consultant & expert profiles with project demands. But how exactly did we do this? The process can be structured in 4 parts: Data Preparation: Model Development: Matching System…
5 Steps to Become a Successful Data Scientist
In today’s data-driven world, the demand for skilled data scientists is soaring. Organizations are harnessing the power of data to drive insights, make informed decisions, and gain a competitive edge. If you aspire to be a successful data scientist, it…
Customer consent and why it is important for your business?
As businesses collect and use increasing amounts of customer data, the concept of customer consent has become more important than ever. Customer consent refers to the permission given by customers for a business to collect, store, and use their personal…
Data Privacy: Understanding the Importance and Best Practices
In today’s digital age, data privacy has become a critical issue for individuals and organizations alike. With the increasing use of digital devices and online services, personal data is being collected, processed, and shared on a massive scale. This has…
What’s the best tool for your Infographics?
When it comes to creating graphics for various purposes, there are several tools available that can help you achieve your design goals. Some of the most popular tools include Adobe Illustrator, Inkscape, and Canva. Each of these tools has its…
The Journey of Data: Understanding Data Lineage for Effective Data Management
Data lineage is the process of tracing the life cycle of data, from its origin to its final destination, and all the transformations and processes it undergoes along the way. It is an essential part of data governance and helps…
Data Privacy Matters: A Global Overview and the Challenges of Localization
Data privacy is important because it ensures that individuals have control over their personal information and how it is used. In an increasingly digital world, where personal data is constantly being collected and processed, data privacy laws are necessary to…
Data Mesh: Three common pitfalls to avoid
Data mesh is a sociotechnical approach to build a decentralized data architecture by leveraging a domain-oriented, self-serve design (in a software development perspective), and borrows Eric Evans’ theory of domain-driven design and Manuel Pais’ and Matthew Skelton’s theory of team topologies. Data mesh mainly…
Building Better Models: Key Quality Criteria for Data Science Success
Models are a key component of data science, allowing organizations to extract insights and predictions from complex data sets. However, not all models are created equal, and building an effective model requires more than just selecting the right algorithm or…