Starting Q2, One Data will stop caring about data quality. Reports will be delivered by vibes only. KPIs? Replaced with emojis. Data lineage? That’s for the old One Data. …Okay fine. April Fools. 🙃 Trusted data, reliable decisions, zero vibes-based reporting – that’s still very much us. One Data is a software platform that turns fragmented, unreliable data into quality-assured data products your teams can actually trust. No rework, no “which number is right?”. Just confident decisions, backed by data that’s traceable from source to insight. Curious how that works in practice? Let’s talk: https://lnkd.in/djN38rYt
One Data
Softwareentwicklung
Munich, Bavaria 16.439 Follower:innen
The Software Platform for Trusted Data
Info
One Data is a software platform that transforms fragmented legacy data into quality-assured, context-rich, and actionable data products that fuel correct KPIs, reliable reports, and trustworthy AI agents. Through full metadata transparency, seamless alignment between data and business users, and powerful AI-automation, One Data lays the foundation for data-driven business success. Leading organizations rely on One Data to make their data AI-ready, improve cross-team collaboration, and unlock measurable business value from day one. Reach out and let’s chat! Find out more at www.onedata.ai
- Website
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https://onedata.ai
Externer Link zu One Data
- Branche
- Softwareentwicklung
- Größe
- 201–500 Beschäftigte
- Hauptsitz
- Munich, Bavaria
- Art
- Privatunternehmen
- Gegründet
- 2013
- Spezialgebiete
- Data Integration, Supply Chain Optimisation, Data Collaboration, Data-driven decision making, Data as a Product, Big Data, Data Processing, Data Matching, Data Mapping, Data Science, Data Analytics, Artificial Intelligence, Applied AI, Machine Learning, Deep Learning, Forecasting, Anomaly Detection, Software Development, Software Engineerig, Data Fabric, Data Products, Demand Sensing, Data Contracts, AI-ready data, Data Product Management und Data Product Lifecycle
Produkte
One Data
Data-Governance-Software
One Data is the standard software for trusted Data Products — designed for collaboration and built for scale. Create, manage, and scale AI-ready Data Products in up to 60% less time, with 50% less manual effort, and discover insights 70% faster. Seamlessly integrate with tools like Databricks, Snowflake, or custom applications, and empower your teams to unlock measurable business impact from day one. Fuel your data initiatives with standardized, collaborative processes that align with strategic goals and maximize ROI. Ensure trust and reliability with built-in governance and automated quality checks, prepare data efficiently for new launches, and publish validated Data Products on One Data’s Marketplace for reuse across the organization. Build once, deploy everywhere — so teams can innovate faster, reduce complexity, and drive consistent results at scale. One Data serves as your mission control for scaling AI, modernizing data management, and delivering business-critical insights.
Orte
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Primär
Wegbeschreibung
Prinzregentenstraße 50
Munich, Bavaria 80538, DE
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Wegbeschreibung
Kapuzinerstr. 2c
Passau, Bavaria 94032, DE
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Wegbeschreibung
Neue Rothofstraße 13-19
Frankfurt, Frankfurt/Main 60313, DE
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Wegbeschreibung
Köpenicker Straße 31
Berlin, BE 10179, DE
Beschäftigte von One Data
Updates
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Did you know most SAP BW migrations just move yesterday’s mess to the cloud? 💸 In our recent webinar with bluetelligence GmbH and Theobald Software, we revealed why a 1:1 SAP BW cloud migration often just transfers the problems – and the costs – instead of fixing them. Catch the on-demand recording to learn how transparency, automation, and governed data products can cut effort, reduce cost, and turn your migration into real business value. Watch here: https://lnkd.in/dYFBGUuW
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Every data team has been there: New project arrives → no one knows which dataset to use → another copy gets made “just in case.” That’s data entropy. The hidden disorder that quietly drives up costs and delays decisions. Watch for the signs: 😱 Duplicate pipelines with no owner 😱 Rising, unexplainable cloud spend 😱 “Shadow data” teams trust more than official sources This isn’t a technological problem. It’s a management discipline – lifecycle governance, transparency, and reuse. Recognize entropy as a measurable business risk, and it becomes manageable. Manage it, and innovation accelerates. Get the fix. Download the guide → https://lnkd.in/diqSjsFM
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Thinking about migrating your SAP BW to the cloud? Stop right there. Most migrations are done blindly – and that's exactly how costs skyrocket. You wouldn’t perform surgery without an X-ray, would you? So why migrate massive SAP systems without seeing inside? Hidden fractures in your data – redundancies, dead code, duplicate logic – turn into permanent, expensive problems in the cloud. Do it smarter: map your entire data skeleton first. ➡️ Identify what's actually used ➡️ Eliminate redundancies before they cost you ➡️ Set up monitoring to prevent future data bloat ➡️ Understand dependencies before they break Modern diagnostic tools change the game. Hours instead of months. Clarity instead of complexity. Confidence instead of risk. The result? A surgical, precise, and transformative migration – not guesswork. Explore why visibility changes everything: https://lnkd.in/dYDiQ2Fu
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Governance that doesn’t slow you down. With Data Contracts, you get one trusted view of every data product – freshness, schema, quality, ownership, lineage – all in one place. Know what’s reusable, reliable, and AI-ready before you build. Governance that powers not just accountability, but smarter AI-driven decisions. Goodbye risk. Hello trust and efficiency. 👉 Take the tour and explore real Data Contracts: https://lnkd.in/ds68GJ7n
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Ever wondered why so many organizations struggle to be truly AI-driven? Often, it comes down to one thing: trust in the data. We wrote a new article on how business and data teams can align around a reliable data foundation, sharing insights from our Challenge Your Peers session at last week's Business Intelligence Minds event. 🔗 If you want the full picture, read more here:
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Strategic multi-cloud is a 2026 must-have. Most enterprises just move silos to the cloud. Winners focus on flexibility, governance, and portability. Key insights: → Design for portability using containerization → Unify governance across clouds → Map workloads for efficiency and innovation Pro tip: Modernize 50%+ of cloud architecture strategically to stay ahead in 2026. 📥 Get the multi-cloud trends insight: https://lnkd.in/dkKrjagZ
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Each new AI initiative brings more data streams, pipelines, and models – and without structure, complexity multiplies. That’s data entropy at work. More inputs → more duplication → higher costs → slower results. The solution isn’t less data. It’s controlled evolution through lifecycle management – where every dataset has clear ownership, lineage, and purpose. Organizations adopting this approach report: ✔️ 30% lower cloud costs ✔️ Faster access to trusted data ✔️ Stronger foundations for AI innovation Learn how to contain entropy before it scales → https://lnkd.in/dQ4_pkNc
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Oops! Your cloud migration may have just carried yesterday’s chaos into the cloud. In our recent webinar with bluetelligence GmbH and Theobald Software we showed how most SAP BW migrations move the data but not the trust in data. AI agents hallucinate, KPIs mislead, and dashboards frustrate. Don’t replicate the chaos. Watch the on-demand recording to learn how to transform your migration into a trusted, AI-ready data foundation. 🎥 Watch now: https://lnkd.in/d2dQjVUz
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Yesterday we went live with bluetelligence GmbH and Theobald Software to talk about the journey from SAP BW to trusted insights. If you missed it, the recording is now available. We covered: ✔️ Why a 1:1 migration often creates more problems than it solves ✔️ How to build trust in your data before, during, and after migration ✔️ What it takes to make your data foundation truly AI-ready 🎥 Watch the recording here: https://lnkd.in/dRKkws5y
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