Your BI experts
With extensive expertise and a passion for Business Intelligence, we craft tailored solutions designed to give you a sustainable competitive advantage.
What our clients say
"inics proved their capability to successfully take over BI projects from other providers. Thanks to their extensive experience and competence, our Qlik project was completed successfully, to everyone's satisfaction."
Nico Alf, Team lead international Controlling and Foundation Management, Zoological Society Frankfurt
"Overall, the NPrinting workshop was excellent. We particularly liked that we could test directly within our own systems, using both live and prepared data."
Controlling & Reporting, MediaMarktSaturn
"inics' strategic guidance was essential in fully realizing our business intelligence potential. This enabled us to optimize previously overlooked processes and make better decisions aligned with our corporate goals, leading to significant monetary and qualitative improvements."
Stefan Schnarr, BI/CRM Team Leader - Adler Modemärkte
"The customized workshops with inics quickly empowered us to independently and successfully work on our BI topics. Their practical support allowed us to confidently master complex tasks."
Axel Meissner, Head of Controlling, perma-tec GmbH & Co. KG
„Thanks to the expertise and dedicated support from inics, our BI environment has significantly enhanced, becoming highly stable, scalable, and reliable.“
Christian Zander, Head of Reporting & Data Analytics, KiK
„The partnership with inics transformed our BI landscape, significantly reducing costs and establishing an innovative platform for future digital and AI initiatives. We see inics as strategic digital evangelists.“
Luka Bebensee, Operations Partner - Head of Quantoo/TMG
"inics proved their capability to successfully take over BI projects from other providers. Thanks to their extensive experience and competence, our Qlik project was completed successfully, to everyone's satisfaction."
Nico Alf, Team lead international Controlling and Foundation Management, Zoological Society Frankfurt
Careers at inics
We are continuously seeking interns, student employees, and data enthusiasts to join our growing team. Are you excited about the fast-paced, evolving world of data?
Join the inics team!
Then feel free to send us your unsolicited application: info@inics.de
Insights from the inics Blog
Stay up to date with our knowledge portal! Discover new articles regularly on the latest developments in data analysis, business intelligence, and current industry trends.
From Insight Risk to Action Risk: Why Agentic Analytics Changes What Governance Is For
In classical BI, weak governance was a reporting problem. In agentic analytics, it becomes an execution problem. That single shift changes what governance is for - and where organisations need to start before they scale AI.
The Analytics Agent Already Works in Your Company
The problem is that most of its knowledge is still in someone’s head. In many companies, the closest thing to an analytics agent is still a person. The analyst who knows which dashboard people actually trust. The controller who remembers why one margin definition is dangerous. The BI consultant who has seen the same simple metric mean three different things across three source systems. The data engineer who knows which table exists, and why it should still not be used for the question someone is asking.
From Reporting to Decision Support - Why adaptive orientation matters when KPI autopilot fails
Too often, it was treated as if enough data, enough dashboards, and enough automation would eventually make decisions almost self-executing. That was always too simplistic. But once you stop confusing data-driven work with decision automation, the real question becomes much more practical: "What actually helps an organisation make better decisions when the old reading model starts to weaken?"
Data-Driven Decision Making: What It Really Means When the Environment Stops Behaving
Part 1: Why “data-driven” was often mistaken for decision automation, and why the real challenge is deciding whether your current signals still capture enough of reality to guide action.
Data Mesh, Data Meh? Why Many Companies Need to Reassess Their BI- and Data Organization
A few years ago, Data Mesh was, for many companies, above all a compelling target vision. More ownership in the domains, fewer central bottlenecks, more product thinking, more scalability. On strategy slides, it sounded modern, ambitious, and long overdue.
AI Use Case Inventory and Governance - Portfolio, Roles, Obligations
Part 3/3 concludes the series with the question that, in practice, often needs to be answered first: