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Read the case study →Big data analytics
Turn millions of records into decisions you can trust.
Agleam Labs builds the data platforms that collect, clean, process, and analyse data at scale. We have worked with datasets of millions of records, and we know how to make that data fast to query, reliable to report on, and genuinely useful for the people running the business.
- Proven on millions of records
- Data pipelines and warehouses
- Real-time and batch processing
- Dashboards and AI-driven insight
Why big data analytics
Your data already holds the answers. We help you find them.
Most organisations have more data than they can use: transactions, customers, operations, devices, and logs spread across systems that do not talk to each other. Reports take days, numbers disagree between teams, and queries slow down as the volume grows.
We have built data solutions handling millions of records, and we design every platform for scale from the start. We bring your data together into one trusted source, process it efficiently, and deliver dashboards and analysis that let leaders, managers, and teams act on facts instead of guesswork.
Data services
The complete data journey, from raw records to insight.
Start with one report that matters, or build a full data platform. Every piece is designed to keep performing as your data grows.
01 Data strategy and architecture +
- Data strategy
- Architecture
- Data modelling
- Governance
We map your data sources, questions, and goals, then design the architecture, storage, and governance that will support them today and as volume grows.
02 Data integration and ETL / ELT pipelines +
- ETL / ELT
- API ingestion
- Data cleaning
- Scheduling
- Change data capture
Automated pipelines that extract data from databases, applications, APIs, files, and devices, clean and transform it, and load it reliably on schedule or in real time.
03 Data warehouses and data lakes +
- Data warehouse
- Data lake
- Lakehouse
- Partitioning
- Query optimisation
Central, query-optimised stores for structured and unstructured data, with partitioning, indexing, and modelling that keep queries fast across millions of rows.
04 Large-scale and real-time processing +
- Batch processing
- Stream processing
- Distributed computing
- Event data
Distributed batch processing for heavy workloads and streaming pipelines for live data, so insight arrives in minutes or seconds instead of days.
05 Business intelligence and dashboards +
- Dashboards
- KPIs
- Self-service BI
- Scheduled reports
- Embedded analytics
Interactive dashboards and self-service reports for executives, managers, and operations teams, with KPIs everyone agrees on.
06 Predictive analytics and AI +
- Forecasting
- Segmentation
- Anomaly detection
- Machine learning
Forecasting, segmentation, anomaly detection, and recommendation models built on clean, well-structured data, and put to work inside your applications.
07 Data quality, security, and governance +
- Data quality
- Lineage
- Access control
- Encryption
- Compliance
Validation, deduplication, lineage, access control, and encryption, so your data is accurate, protected, and compliant.
08 Performance tuning and data migration +
- Query tuning
- Indexing
- Large migrations
- Data validation
We speed up slow databases and reports, and migrate large datasets between systems or to the cloud without losing a single record.
What you gain
Faster answers. Better decisions. One version of the truth.
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Reports in seconds
Queries and dashboards that stay fast across millions of records.
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One source of truth
Data from every system combined, cleaned, and consistent across teams.
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Decisions backed by data
Clear KPIs and trends that show what is working and what needs attention.
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See what's coming
Forecasts and alerts that help you act before problems or opportunities pass.
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Trusted and secure
Quality checks, access control, and audit trails protect accuracy and privacy.
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Have data but not sure what it can tell you? We will review it and show you what's possible.
Get a free data review →
Why Agleam Labs
Data engineering that holds up at scale.
Hover or tap a card to see what it means in practice.
How we work
From scattered data to clear insight.
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01
Discover
We identify your data sources, business questions, and the KPIs that matter most.
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02
Design
We design the data model, architecture, and pipelines for your volume and growth.
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03
Build and integrate
We build pipelines, storage, and dashboards, and validate the numbers with your team.
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04
Operate and expand
We monitor, tune, and extend the platform with new sources, reports, and predictive models.
Our work
Data-rich platforms we have delivered.
Systems that store and report on bookings, collections, receivables, and inventory across large volumes of records.
Data expertise in numbers
- Of records processed
- Millions
- Of records processed
- Enterprise apps delivered
- 50+
- Enterprise apps delivered
- On-time delivery
- 99.8%
- On-time delivery
- Years of senior experience
- 10–30
- Years of senior experience
- Major clouds: AWS, Azure, GCP
- 3
- Major clouds: AWS, Azure, GCP
- Office, worldwide clients
- 1
- Office, worldwide clients
Technology
Modern data technology, at any scale.
We choose proven tools for ingestion, processing, storage, and visualisation, on the cloud or on your own infrastructure.
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Python
- SQL
- Apache Spark
- Apache Kafka
- Apache Airflow
- PostgreSQL
- MongoDB
- Elasticsearch
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AWS
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Google BigQuery
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Azure
- Snowflake
- Power BI
- Tableau
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Docker
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Kubernetes
Industries
Analytics for every industry.
Sales, transactions, patients, students, properties, and operations: we turn industry data into insight.
FinTech
Payment, lending, and transaction platforms for always-on financial operations.
E-Commerce
Commerce technology connecting customers, inventory, payments, and retail operations.
Healthcare
Secure digital systems for data-heavy healthcare workflows and service delivery.
Telecom
Digital platforms, integrations, and service systems for continuous delivery.
Real estate management
Property platforms for portfolios, leasing, tenants, sales, and day-to-day operations.
Logistics
Platforms for fleets, shipments, warehouses, and connected supply-chain operations.
FAQs
Big data analytics questions.
Straight answers about building data platforms and analytics with Agleam Labs.
Sitting on a lot of data?
Tell us where it lives and what you want to know. We will suggest the fastest way to get answers.
Get a free data review →How much data can you handle? + −
We have worked with datasets of millions of records, and we design architectures that scale well beyond that using partitioning, distributed processing, and cloud data warehouses.
Our data is spread across many systems. Can you bring it together? + −
Yes. That is where most projects start. We connect databases, business applications, spreadsheets, APIs, and files into one central store, cleaned and consistent.
Do we need a data warehouse or a data lake? + −
A warehouse suits structured data for reporting; a lake suits large volumes of raw or varied data. Many businesses benefit from a combination. We recommend based on your data and the questions you need answered.
Can you deliver real-time dashboards? + −
Yes. For data that changes constantly, such as transactions, orders, or device events, we build streaming pipelines that update dashboards within seconds or minutes.
Which BI tools do you use? + −
We work with tools such as Power BI, Tableau, and Looker, and we also build custom dashboards embedded directly in your own applications.
Our reports and queries are slow. Can you fix that? + −
Usually, yes. We analyse slow queries, add the right indexes and data models, pre-aggregate heavy calculations, and move workloads to more suitable storage where needed.
How do you keep our data secure? + −
We use role-based access, encryption in transit and at rest, masking of sensitive fields, and audit logging, aligned with the regulations that apply to your data.
Start a data project
Let's make your data work for you.
- Experience with millions of records
- Pipelines, warehouses, and dashboards
- Real-time and predictive analytics
- A free review of your data
Prefer email?
info@agleamlabs.comStop guessing. Start knowing.
Tell us about your data and the decisions you need to make. We will come back with an approach, a timeline, and a first estimate.