Explore real-world solutions to common data challenges — from siloed systems and low data trust to AI readiness and compliance gaps.
Tell me if this sounds familiar…
Teams can’t find the data they need. Everyone defines terms differently. Documentation is missing, outdated, or siloed.
The result? Bad reporting, slow decisions, and constant back-and-forth between teams.
When you align on a shared data language and surface trusted assets in one place, everyone moves faster — and with more confidence.
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When regulations tighten, your metadata better be ready.
Think GDPR, ESG, HIPAA, BCBS 239 — every compliance standard demands clarity on where sensitive data lives, how it flows, and who’s responsible for it.
DataGalaxy gives governance teams the metadata backbone to support audits, regulatory reporting, and privacy-by-design at scale.
– Map sensitive data and tag it with classifications like PII
– Track lineage and movement of regulated assets
– Enforce policy through ownership, documentation, and rules
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No AI initiative succeeds without structured, governed data.
The best LLMs in the world can’t fix disorganized metadata. Without a solid semantic layer and traceable data, your AI is built on sand — and 80% of projects are already failing for this reason.
DataGalaxy prepares your organization with AI-grade metadata, lineage, and structure — ensuring your models are grounded in trustworthy data.
– Build a semantic layer your models can “understand”
– Curate and govern training data at scale
– Trace model inputs and outputs to ensure accountability
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Ever feel like one small change could trigger a chain reaction?
You tweak something upstream — and suddenly dashboards break, pipelines stall, or people scramble for answers.
You value speed, automation, and impact — not guesswork.
DataGalaxy helps engineers and technical teams visualize lineage, surface dependencies, and make safe changes with confidence.
– Find the exact dataset, table, or transformation job in seconds — no more tribal knowledge.
– Understand downstream impact before you deploy.
– Ingest and map your pipeline metadata automatically to catch breakages before they happen.
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You’re not just doing data. You’re building a data-driven business.
That means having a clear strategy, aligned teams, and measurable outcomes across your Data and AI initiatives.
But too often, data investments become disconnected from value — or from each other.
DataGalaxy gives leadership a unified view of assets, ownership, impact, and alignment. It’s where governance, analytics, and AI converge into one strategy.
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Most teams still rely on a few experts to translate the data jungle. As a result, adoption lags, reporting is inconsistent, and decisions get bottlenecked.
DataGalaxy boosts data literacy by making business terms, definitions, and trusted data assets easy to explore for every user — not just the experts.
– Empower teams with a shared vocabulary through a centralized business glossary
– Make trusted data assets easily discoverable via natural language search
– Provide guided lineage and visual context to foster real understanding
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You can’t report what you can’t trace.
Whether it’s carbon data, supply chain transparency, or DEI metrics — ESG initiatives require governance-grade metadata and traceability.
DataGalaxy helps organizations map where ESG-related data lives, how it moves, and who owns it, enabling transparent, reliable, and auditable reporting.
– Trace ESG-related KPIs back to source systems and owners
– Ensure consistency across teams with shared definitions and policies
– Easily surface data used in ESG dashboards, external audits, and regulatory reports
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Top-down governance doesn’t work if the people on the ground aren’t engaged.
Without collaboration, policies go unread, data remains undocumented, and stewardship becomes a checkbox exercise.
DataGalaxy transforms governance into a team sport — empowering domain owners, stewards, and business users to contribute directly to data knowledge and accountability.
– Assign clear roles and ownership for every asset
– Foster contributions via contextual editing and collaborative workflows
– Track changes and governance maturity over time
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You wouldn’t ship a product without version control, owners, or feedback loops — so why do it with data?
Modern teams treat data as a product: owned, documented, discoverable, and continuously improved.
DataGalaxy supports full lifecycle management for data products — from ownership and discoverability to usage tracking and evolution.
– Define and document your data products with rich metadata
– Assign owners, version history, and quality indicators
– Link business goals to data usage and drive real product thinking
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Metadata is your most untapped asset — and your best line of defense.
But too often, it’s scattered across tools, owned by no one, and invisible to the people who need it.
DataGalaxy brings all your technical, business, and operational metadata together into one living map — so you can control risk, increase agility, and accelerate innovation.
– Centralize metadata ingestion from your full data stack
– Link technical lineage to business context, automatically
– Build AI-ready metadata foundations for future projects
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See how organizations across finance, healthcare, retail, and more are leveraging data governance and AI products to drive business value
Banks and insurers must comply with strict regulations such as BCBS 239, KYC, and AML — all of which depend on clear data lineage, metadata traceability, and governance over sensitive data. DataGalaxy enables full visibility into how risk, customer, and transaction data flows across systems — ensuring compliant, auditable reporting.
👉 See how SwissLife standardized data understanding across borders
👉 Want to see how this applies to your organization? Contact us for a tailored walkthrough.
Healthcare teams handle vast, sensitive datasets — from EHRs and PHI to genomics and clinical trials. DataGalaxy supports HIPAA-aligned governance through glossary-driven documentation, metadata controls, and traceability across systems, while enabling compliant reuse of real-world evidence (RWE).
👉 See how Malakoff Humanis built scalable governance across regulated healthcare and insurance data systems.
👉 Want to see how this applies to your organization? Contact us for a tailored walkthrough.
Customer 360 views, loyalty programs, and omnichannel journeys rely on consistent, trusted data across touchpoints. DataGalaxy centralizes glossary definitions, lineage, and metadata to power recommendation engines, clickstream analytics, and real-time personalization.
👉 See how ARTE created a shared data glossary to break silos
👉 Want to see how this applies to your organization? Contact us for a tailored walkthrough.
From predictive maintenance to ESG traceability, manufacturers face the challenge of managing sensor, ERP, and supply chain data across systems. DataGalaxy enables lineage, metadata ingestion, and glossary governance for Digital Twins, performance analytics, and IoT-driven processes.
👉 Explore how Eramet built agile governance for industrial data
👉 Want to see how this applies to your organization? Contact us for a tailored walkthrough.
Energy companies must balance operational data complexity (SCADA, smart grids) with regulatory frameworks like FERC/NERC. DataGalaxy maps data flows, tracks asset metadata, and structures data to support emissions tracking and asset lifecycle optimization.
👉 Want to see how this applies to your organization? Contact us for a tailored walkthrough.
Public organizations must publish open datasets, manage citizen data, and support cross-agency collaboration — all under strict governance and auditability. DataGalaxy enables clear glossaries, data classifications, and metadata traceability to support transparency and compliance.
👉 Want to see how this applies to your organization? Contact us for a tailored walkthrough.