Your legacy data costs performance, compliance, regulatory, and security disruptions

Modernize your data estate in weeks
with iBEAM’s 4-step process

Watch the modernization process

iBeam Data Modernization

iBEAM, GenAI + data engineers

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Blueprint for Assessment

Modernization roadmap and risk assessment
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Extract and Transform

Transformed database ready for migration
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Automated Migration and Validation

Migrated database ready for production
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Modernize and
Go-Live

Secure and scalable live environment

The risks of delaying data modernization

Unifying enterprise data for smarter and efficient waste management operations

Accelerating Legacy Modernization with GenAl

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Data Silos

Isolated systems limit access to unified, actionable data.
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Security Breaches

Older platforms may not meet current security standards.
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Rising Maintenance Costs

Ageing systems require more support and specialised resources.
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Lack of Agility

Outdated architecture slows response to changing needs.
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Limited Insights

Limited support for modern analytics and data tools.
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Compliance Penalties

Harder to align with evolving regulatory requirements.
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Slow Innovation

Legacy systems delay adoption of new technologies.
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Customer Dissatisfaction

Challenging to meet expectations for speed and flexibility.

What happens when you modernize your data?

2x Faster Decisions

Act on insights in real time.

30% Cost Savings

Slash maintenance and operational expenses

Improved
ROI

Turn data into revenue-driving opportunities

Happy
Teams

Empower employees with easy access to data

Competitive Edge

Stay ahead with a future-ready data strategy

How we do it?

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Legacy Data Assessment

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Cloud Data Migration

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Data Integration and ETL

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Real-Time Data Processing

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Data Governance and Compliance

Technology stack

Data Governance

  • Alation
  • Collibra

Cloud Platforms

  • Amazon Web Services (AWS)
  • Microsoft Azure
  • Google Cloud Platform (GCP)

Data Lakes & Warehousing

  • Snowflake
  • Amazon Redshift
  • Google BigQuery

ETL Tools

  • Apache NiFi
  • Talend
  • Fivetran

Real-Time Streaming

  • Apache Kafka
  • Apache Flink
  • Amazon Kinesis

Data Security & Privacy

  • AWS KMS
  • Azure Key Vault
  • HashiCorp Vault

Our trusted clients

Don’t let outdated data hold you back another day

What our happy clients say

FAQ's

What value does data modernization bring to my business?

Data modernization helps your organization access accurate insights faster, improve performance, and reduce complexity across teams. It supports timely decision-making, simplifies operations, and prepares your business to scale with greater flexibility and confidence.

How does iBEAM support data modernization?

iBEAM accelerates data modernization by combining GenAI-powered automation with hands-on support from experienced data engineers. It streamlines tasks such as ontology mapping, schema transformation, database upgrades, and the conversion of legacy reports and forms. The accelerator also generates documentation to support audits and compliance needs, reducing manual effort while ensuring secure, scalable, and future-ready data environments.

How long does a data modernization project take with iBEAM?

The timeline depends on data volume, complexity, and system dependencies. With iBEAM, most data modernization projects are delivered within 8 to 10 weeks. By automating mapping, migration, and validation, iBEAM accelerates delivery and minimizes disruption compared to traditional approaches.

How is data security maintained during the modernization process?

The process includes encryption, role-based access controls, and alignment with relevant industry regulations to ensure data security and compliance. As an AICPA SOC-audited company, we follow strict data governance standards. iBEAM also supports automated validation and audit-ready documentation to protect data throughout the modernization journey.

What are the risks of delaying data modernization?

Outdated data systems can limit accessibility, slow insights, and increase security vulnerabilities. Over time, legacy systems may increase maintenance costs by up to 30% and make it harder to integrate with modern tools or data platforms. Modernizing early helps reduce these risks and empowers teams to make faster, smarter, and more scalable decisions.

Can legacy systems and modern data platforms coexist during the transition?

Yes. Many organizations take a phased approach, maintaining legacy systems while gradually modernizing their data infrastructure. iBEAM supports hybrid environments by ensuring compatibility, synchronizing data between platforms, and minimizing disruption during the transition.

iBEAM Data Modernization

iBEAM modernizes legacy data systems with GenAI, ensuring security, scalability, and efficiency in just weeks.Read More »
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