BI Technologies
Without Limits
The Information Lab brings extensive experience across diverse data environments. Alongside our core platform partnerships, we operate across all established BI, analytics, data engineering and cloud technologies. Providing strictly tool-agnostic advisory, we select solutions tailored precisely to your operational requirements, existing IT infrastructure and corporate strategy.
Overview of Supported BI Technologies
The technologies outlined below represent a selection of the tools and platforms we implement daily. Our expertise extends beyond individual applications to cover technologies across the entire data value chain.
Additional BI & Data Ecosystem Technologies
Trusted by over 200 organisations
Which Technology Fits Your Architecture?
No single tool is ideal for every business scenario. Success depends on the seamless alignment of technology, data architecture, governance frameworks and internal team capabilities.
In an initial consultation, we evaluate which platforms deliver maximum commercial value, review your legacy infrastructure and define a resilient, future-proof data stack for your organisation.
Jan Delventhal
Head of Business Development
Startseite- & Serviceskontakformular ENG
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Frequently Asked Questions
What does tool-agnostic advisory mean in practice?
Although The Information Lab maintains certified, tier-one partnerships with market-leading vendors such as Tableau, Snowflake, Alteryx and dbt, our advisory remains tool-agnostic. Technology follows business strategy, not vice versa. Prior to selecting software, we evaluate your existing IT infrastructure, functional use cases and regulatory compliance requirements to implement the most cost-effective and technically sound solution.
Is an all-in-one platform or a best-of-breed stack preferable?
This depends on your organisation’s digital maturity and strategic goals. All-in-one platforms reduce initial onboarding complexity but often hit performance boundaries with complex analytical or scaling demands. Conversely, a Modern Data Stack (best-of-breed) combines specialised tools, such as Snowflake for storage, dbt for transformation and Tableau or Power BI for visualisation, into a performant, flexible, and scalable architecture.
Can new analytics platforms be integrated into regulated organisational ecosystems?
Yes. Engineering modern data architectures typically requires seamless integration into legacy corporate environments (such as Microsoft or SAP ecosystems). Using platforms like Microsoft Fabric, Power BI, or specialised connector tools (e.g. Theobald Software for SAP), new analytical capabilities are embedded securely and compliantly without disrupting existing operational structures.
Must legacy systems be replaced completely during modernisation?
A complete greenfield rebuild is rarely mandatory. In most scenarios, it is more cost-effective and less risky to modernise legacy environments iteratively using data engineering frameworks and cloud platforms (such as AWS or Databricks). This resolves performance bottlenecks directly without interrupting daily operations.
Do you train internal IT and business teams on new technologies?
Even the most powerful technology fails to deliver ROI if internal teams do not adopt it. Targeted team enablement is a core component of every engagement delivered by The Information Lab. Through practical training programmes and direct knowledge transfer, we ensure your internal teams operate, maintain and expand your new technology stack independently.
