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Data Lake Services for Banking and Enterprise Readiness

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From fragmented systems to clean, usable data

Build a governed data lake that gives teams fast access to trusted information, scales with enterprise workloads, and supports banking-grade compliance.

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What a well-built data lake
delivers for your business

01

No more data silos

Teams work from one trusted source of truth instead of reconciling conflicting information across disconnected systems.

02

AI and ML readiness

A structured foundation supports future analytics and machine learning without costly rework as use cases evolve.

03

Near-real-time data access

Teams get current information the moment they need it, so time-sensitive decisions move faster.

04

Scalable performance

Performance remains reliable as data volumes, ingestion rates, and demands on the platform increase.

05

Audit-ready governance

Lineage, ownership, and access controls are built into the architecture from the start.

06

Lower total cost of ownership

One governed environment reduces the operational overhead and duplication created by fragmented systems.

You're already paying the silo tax

Every disconnected system is a decision made on stale or incomplete data. See what a governed data lake looks like for your environment.

REQUEST A DATA ASSESSMENT

Our data lake and historical
data platform services

Neontri brings information from internal systems, applications, and external sources into the platform through streaming, batch, and API-based ingestion.

By design, we embed access controls, audit logging, ownership, classification, and data-quality rules into the architecture.

Our team builds transformation and processing pipelines around your data volumes, access patterns, and latency requirements.

We design infrastructure that reduces the delay between new activity and its availability for reporting and operational use.

Neontri’s offloading layer handles high-volume workloads outside the core, reducing pressure on transactional systems as demand grows.

Our data layer captures and structures customer interactions across applications, making journeys and behavioral patterns easier to analyze.

We shape storage structures, pipelines, and processing frameworks to support downstream analytics and machine learning workloads as requirements evolve.

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Analyst monitoring real-time banking data streaming into a data lake
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Neontri’s five-step process:
From architecture design to production

Development team reviewing a banking data pipeline workflow

01

Discovery and architecture design

Existing data sources are mapped and the target architecture defined, resulting in a clear, approved blueprint before any build work begins.

02

Data integration

Source systems are connected and ingestion pipelines configured with quality rules at the point of entry, catching issues before they reach downstream users.

03

Pipeline and data-layer build

Transformation logic, partitioning, and metadata structures are built around your access patterns and tested against representative data volumes.

04

Testing and validation

Data accuracy, latency under load, and security controls are tested end to end, with a dedicated compliance checkpoint before production launch.

05

Go-live and optimization

The platform moves into production with structured handover, documentation, and post-launch optimization based on real usage.

Discover our data lake delivery
for banking and enterprise

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BEHEX:
Cross-system banking data and behavioral analytics

315
million BEHEX
events per day
3.15
million app
logins per day

One of Poland’s largest banks needed a Big Data platform to understand customer behavior without sharing client data with a third party.

Neontri built BEHEX to connect activity across internal systems, using a Presto database, custom interfaces, and reporting tools.

The platform turned high-volume behavioral data into detailed reports, giving the bank clearer insight into customer journeys, app usage, and conversion patterns to support product, marketing, and sales decisions.

 

modern well lit empty office interior well lit modern minimalistic office interior

BEHEX:
Cross-system banking data and behavioral analytics

315
million BEHEX
events per day
3.15
million app
logins per day

One of Poland’s largest banks needed a Big Data platform to understand customer behavior without sharing client data with a third party.

Neontri built BEHEX to connect activity across internal systems, using a Presto database, custom interfaces, and reporting tools.

The platform turned high-volume behavioral data into detailed reports, giving the bank clearer insight into customer journeys, app usage, and conversion patterns to support product, marketing, and sales decisions.

 

Turn high-volume data into usable insight

DISCUSS YOUR DATA PLATFORM

We build for industries where
data errors have real consequences

Banking and fintech focus

Experience in environments with strict data, security, and compliance requirements.

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Enterprise-scale expertise

Delivery for Fortune 500 and top-tier European organisations.

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Compliance and data privacy

Key obligations are defined during discovery and carried through delivery.

clarity

Security tailored to the environment

Access controls, audit requirements, and security measures are shaped around the operating environment.

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Flexible across cloud,
hybrid, and existing data environments

AWS, Azure, and GCP are supported across data lake architecture, integration, and delivery.

Hybrid environments

Cloud and on-premises systems can be combined where the target setup requires it.

Existing data technologies

Snowflake, Databricks, and Hadoop can be retained where they fit the solution.

Our partners

Neontri is an IBM Gold Partner Neontri is a Google Cloud Partner Neontri is an AWS Partner Neontri is a Snowdrop Solutions Partner Neontri is a MongoDB Partner

Don't build your data lake twice

Most data lake projects stall or get rebuilt because the architecture wasn’t right the first time. Get a plan you can trust, with one team accountable throughout.

BOOK A 30-MIN STRATEGY CALL
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Proven with banking and enterprise leaders

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The IT specialists they provided possessed the necessary experience and required competencies. We recommend Neontri as a trustworthy and reliable business partner.

Wojciech Moraczewski

SENIOR MANAGER

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A solution co-developed with Neontri has reduced the number of queries directed to the central system, resulting in lower infrastructure costs and customer service time.

Piotr Durakiewicz

TEAM LEADER – DEPARTMENT OF ELECTRONIC BANKING APPLICATIONS

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Neontri stood out with their commitment, technical competence, and understanding of KIR’s business needs.

Robert Trętowski

VICE PRESIDENT

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Neontri’s execution and deep understanding of corporate processes made our project remarkably smooth. Their extensive enterprise experience delivered impressive results.

Patryk Dąbrowski

HEAD OF SOFTWARE DEVELOPMENT

Data lake pricing tailored
to your environment

  • Data volume and source complexity
  • Integration needs
  • Governance and compliance
  • Support requirements

Build a governed, scalable data lake for enterprise growth
with Neontri

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