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Unlock the Power of Your Data with a Scalable Data Lake

Discover unmatched efficiency, real-time insights, and AI-driven innovation with Catalyst BI’s cutting-edge Data Lake solutions 

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74% of organisations cite data governance as critical to managing growing data complexities. Are you prepared to lead the future?

Secure. Compliant. Actionable Data Solutions.
Empowering Enterprise Architects, Data Engineers, and Decision-Makers

Data isn’t just numbers; it’s the backbone of actionable insights. Whether you’re managing diverse data streams or striving for seamless AI integration, our Data Lake solutions are tailored to solve your biggest challenges.

  • Enterprise Architects get flexibility with hybrid and multi-cloud deployments.
  • Data Engineers gain tools for streamlined real-time and batch data ingestion.
  • CIOs realise cost savings with separated compute and storage models.

Ready to reimagine what your data can achieve?

Book a Data Discovery Workshop
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Transforming Industries with Innovative Data Lake Solutions

Financial Services - Real-Time Risk & Fraud Detection

Challenge: A large bank using multiple on-premises data sources struggled with fraud detection and regulatory reporting due to data silos

Solution: Implemented a cloud-based data lake that aggregated transactional data, customer profiles, and AI-driven fraud models.

Stat: Fraud detection time reduced by 75%, enabling real-time monitoring.

Retail & eCommerce – AI-Powered Customer Insights

Challenge: A global eCommerce brand had fragmented customer data across CRM, POS, and digital marketing platforms, leading to poor customer segmentation.

Solution: Implemented a data lake with AI-powered recommendation engines, allowing real-time analysis of customer behaviours.

Stat: Personalised marketing campaigns increased conversions by 30%

Healthcare – Predictive Patient Analytics & Medical Research

Challenge: A hospital network needed real-time insights into patient data, medical imaging, and lab results to improve diagnostics.

Solution: Deployed a secure, AI-ready data lake that integrated EHRs, imaging scans, and genomic data.

Stat: Reduced patient readmissions by 20% through predictive analytics

Manufacturing – IoT-Driven Predictive Maintenance

Challenge: A global manufacturer needed real-time monitoring of factory equipment and supply chain logistics.

Solution: Implemented a data lake for IoT integration, enabling predictive maintenance & real-time asset tracking.

Stat: Reduced machine downtime by 35% with AI-powered failure prediction

How it works

Transforming Your Workflow

1
1. Plan

We work with you to design a solution compatible with your cloud architecture, ensuring scalability and integration with existing workflows.
2
2. Deploy

Seamlessly ingest data from diverse sources such as IoT devices, transaction streams, and social logs into one unified, secure repository.
3
3. Optimise

Leverage real-time dashboards and AI integration to get the operational insights you need to grow faster.

Key Benefits of Next-Generation Data Lakes

Discover how Catalyst BI’s Data Lake solutions empower organisations to unlock the full potential of their data.

By leveraging cutting-edge technology and innovative design, next-generation data lakes deliver unmatched scalability, efficiency, and insights tailored to meet the evolving demands of your business.

SCALABILITY & COST EFFICIENCY
  • Store petabytes of structured and unstructured data at a fraction of the cost of traditional systems.
  • Reduce storage costs by up to 50% with compute and storage separation.

AI & MACHINE LEARNING READINESS
  • Empower predictive analytics & generative AI using optimised datasets.
  • Reduce AI training time by up to 40% with real-time data pipelines.

FASTER DATA DISCOVERY & SELF-SERVICE ANALYTICS
  • Cut time-to-insight by 60%, allowing teams to derive value from data quickly.
  • Enable seamless self-service access, minimising IT dependencies.  
REAL-TIME DATA PROCESSING
  • Process IoT, social media, and transaction data in real time.
  • Enhance operational efficiency and instant decision-making.

ROBUST SECURITY & COMPLIANCE
  • Implement end-to-end encryption and role-based access controls.
  • Achieve GDPR, HIPAA, and SOC 2 compliance effortlessly with automated governance.
SCALABLE INFRASTRUCTURE
  • Effortlessly scale to meet enterprise demands with flexible cloud-based solutions.
  • Optimise performance and cost-efficiency as your business grows without compromising on speed or reliability.

Frequently Asked Questions

Curious to learn more? Below, we’ve compiled answers to some of the most frequently asked questions to provide deeper insights into our approach, solutions, and outcomes. Explore how our innovative strategies can drive impactful results for your business.

How does a data lake differ from a traditional data warehouse, and do I need both?

A data lake stores raw, unstructured, semi-structured, and structured data at scale, making it ideal for AI, ML, and big data analytics. A data warehouse is designed for structured, processed data optimised for BI reporting and fast SQL queries.

You need both if:

  • You want advanced analytics, real-time insights, and AI capabilities (data lake).
  • You need structured, business-ready reports (data warehouse).
What are the security and compliance risks of a data lake, and how do we manage them?

Data lakes can introduce security risks if not properly governed, including unauthorised access, compliance breaches, and data quality issues. To mitigate these:

  • Implement Role-Based Access Control (RBAC) – Ensure only authorised users can access sensitive data.
  • Use Data Encryption & Masking – Encrypt data at rest and in transit to meet GDPR, HIPAA, and SOC 2 compliance.
  • Automate Data Governance – Use metadata tagging & AI-driven anomaly detection to prevent data corruption and misuse.
How can a data lake improve AI, machine learning, and business analytics?

A modern cloud-based data lake integrates seamlessly with AI & ML tools, enabling:

  • Faster model training – AI models can directly access large-scale raw datasets for real-time learning.
  • Predictive insights – Businesses can forecast trends, detect anomalies, and optimise operations using historical and real-time data.
  • Self-service analytics – Business users can run ad-hoc queries on raw data, reducing IT dependency.
What are the cost implications of implementing a data lake

While data lakes reduce storage costs compared to traditional warehouses, costs can rise due to compute processing, data transfers, and security implementations.

  • Separate compute & storage – Scale compute resources independently to avoid over-provisioning.
  • Implement governance & lifecycle policies – Automate data retention, compression, and deletion to reduce ongoing costs.

Your Data Lake Journey Starts Here

A Data Lake isn’t just about warehousing information; it’s your gateway to smarter operations, optimised costs, and AI-driven innovation.

Catalyst BI’s expertise ensures seamless implementation to help you achieve faster insights and operational excellence.