Data Quality Framework
Robust data-quality standards, validation processes and automated cleansing routines keep the lake trustworthy as sources change and volumes grow.
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Consolidate structured, semi-structured and unstructured data assets into a single, governed lakehouse — and make confident, data-driven decisions at enterprise scale.
LESDK’s Big Data & Data Lake practice helps you integrate, manage and analyse data at petabyte scale. We design lakehouse architectures that unify transactional, telemetry and unstructured content into a single governed foundation, so your analytics and AI workloads run on consistent, trustworthy data — and your teams stop arguing about which number is right.
Robust data-quality standards, validation processes and automated cleansing routines keep the lake trustworthy as sources change and volumes grow.
Column-level encryption, access policies and regular security audits safeguard sensitive data against unauthorised access and insider risk.
Role-based access control (RBAC), attribute-based policies and SSO integration mean the right people — and only the right people — see each dataset.
Advanced cataloguing, business glossaries and data lineage help users discover, understand and confidently reuse the data stored across the estate.
Streaming ingestion pipelines process event data efficiently, reducing latency and powering operational dashboards, alerting and real-time ML features.
Partitioning, compression and indexing strategies — plus Iceberg/Delta table formats — optimise storage, cost and performance across workloads.
Big-data and data-lake programs where LESDK unlocked enterprise value.
Agentic workflows mapped 14,000 legacy workloads to target cloud regions in 9 weeks, cutting plan-cycle time by 60%.
Read more ›Migration copilot rewrote 2,400 custom ABAP objects and moved a Tier-1 SAP estate to hyperscale cloud with 40% lower run-rate.
Read more ›Transformer-based propensity models flagged at-risk customers 6 weeks earlier and lifted retention 14% on a 9M-account portfolio.
Read more ›Association mining surfaced unseen cross-sell affinities across 180M transactions and boosted average basket size by 8%.
Read more ›Telematics + NLP coaching hybrid cut fuel burn 12% across a 3,000-vehicle European fleet and paid back in under six months.
Read more ›Sensor fusion + vision models predicted component failures 72h early, shrinking unplanned workshop time by 28%.
Read more ›Sentiment, intent and topic models on 4M support calls cut average handle time 18% and lifted CSAT 11 points in six months.
Read more ›OCR + NLP turned 1.2M scanned supplier invoices into structured data with 98.7% accuracy and 5× faster straight-through processing.
Read more ›Tell us how much data you’re sitting on and what you want to do with it, and we’ll design a lakehouse blueprint that scales with your ambitions.