Stay ahead with the inics blog
We regularly publish insightful articles on key topics related to data management, business intelligence, and data analytics—keeping you informed and ahead of industry trends.
AI is a Bubble
So was the Internet.
Can you feel the AGI
What Ilya saw. Ilya Sutskever, former Chief Scientist at OpenAI, once described a moment where interacting with an AI changes in feel.Not because the model suddenly became smarter overnight but because the experience shifts from “I’m prompting a tool” to “I’m collaborating with a thinking partner.”We’re starting to see exactly what he meant.
BARC Power BI Map
BARC presents the Power BI map, the "world's most comprehensive guide to the Power BI ecosystem," covering tools and service providers around Microsoft Power BI.
ETL vs ELT
ETL und ELT sind Datenintegrationsmethoden, die dazu dienen, Informationen aus mehreren Quellen in einem zentralen Datenspeichersystem zu konsolidieren.
What is Business Intelligence?
Business Intelligence (BI) refers to the process of collecting, evaluating, analyzing, and visualizing data. BI encompasses a wide range of tools, applications, and methodologies that enable users within organizations to make informed decisions based on their data. Both current and historical data are analyzed and presented through clear, comprehensible reports, dashboards, and charts. This descriptive analysis offers insights into a company's current and past performance.
Data Mesh
Data Mesh architecture is a decentralized Data Management approach that organizes data across individual business domains.
Supply Chain Due Diligence Act
On January 1, 2023, the Supply Chain Due Diligence Act (Lieferkettensorgfaltspflichtengesetz - LKSG) came into effect. The law introduces strict regulations to ensure ethical standards across global supply chains, particularly regarding child labor, wage standards, and environmental protection.
Data Lakehouse
A Data Lakehouse is an innovative, open data management architecture combining the advantages of both Data Lakes and Data Warehouses. It merges the flexibility, scalability, and cost-effectiveness of Data Lakes with the structured data management features of Data Warehouses.
Data Lake
A Data Lake captures, stores, and processes vast amounts of data in its original formats.