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Data Integration & Modernisation
Most enterprises are sitting on more data than ever — yet less than 30% of it is actually used for decision-making.
We help you connect, modernise and activate your data — across business units, platforms and formats — to power analytics, real-time decisioning, and scalable AI.
Which side of the divide is
your enterprise?
37%
of enterprise data goes unused because it’s trapped in data silos
88%
of enterprises don’t have the ability to use real-time data at scale
2-5x
ROI improvement reported from 74% of APAC organisations for successful modernisation
5-10x
ROI expected from Agentic AI investments
To harness the full potential of AI, businesses must first modernise how they access, integrate, and activate their data. AI systems are only as effective as the data they’re built on.
Fragmented systems, outdated infrastructure, and batch-processed data pipelines hold organisations back from real-time decision-making and limit the value of AI.
At NowVertical, we help enterprises build a unified, accessible, and scalable data layer—not just to power today’s use cases, but to future-proof for what’s next.
Data Modernisation that maximises your data and AI ROI
Transform legacy systems into cloud-native, scalable platforms that unlock AI readiness and eliminate data silos.
9%
Boost in Subscriber Retention through Modernisation - The Economist
20%
Marketing costs optimization - La Voz
Build a foundation that enables GenAI, agents, and advanced analytics.
Ensure data teams spend less time preparing data — and more time acting on it.
Shift from legacy systems to scalable, cloud-native platforms with full business continuity.
Deliver consistent, real-time data across departments to power smarter decisions.
We Unlock AI Potential
with Modern Data Platforms
Achieving this often requires modernisation, yet for many, this transformation is slow and complex. That is why we created NowUnlock to allow enterprises rapidly unlock value and accelerate their data and AI modernisation journey.
Working across key enterprise technologies
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Understand where your data lives, what it looks like, and how it flows.
Conduct current state analysis across on-prem, cloud, and SaaS systems
Identify gaps in data pipelines, integrations, and quality
Build a data asset catalogue and metadata layer
Bring consistency to how data is defined, governed, and accessed.
Align on taxonomy, master data, and business glossaries
Introduce governance frameworks and role-based access
Unify models across channels, geographies, and systems
Understand where your data lives, what it looks like, and how it flows.
Leverage automated migration for efficiency
Refactor pipelines and data stores for modern architectures (e.g. GCP, Snowflake, Databricks)
Remove ROT data and reduce legacy tech dependencies
Activate data for business teams, products, and AI initiatives.
Create master data and persistent identities (e.g. customer, asset)
Stream enriched, real-time data across use cases (CDPs, analytics, AI)
Embed lineage, audit, and observability into every pipeline
connect the data across
your platforms — in real-time
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