Big data analytics services

Analytical processes made faster and more efficient with real-time big data analytics — architecture, pipelines, analysis and the visualisation people actually use.

Estimate the cost
Real-time and batchCloud or on-premiseDashboards included
Our services

Big data analytics services for digital transformation

Analytical processes made faster and more efficient with real-time analytics.

Architecture analysis

  • Analysing the app and its needs along with the business requirements
  • Consulting on improvements and automation
  • Building a plan for on-premise to cloud migration
  • Designing solutions for a cloud-native app
  • Creating an infrastructure upgrade roadmap
  • Getting an action plan on future improvements

Architecture improvement

  • Implementing best practice and automation into the existing infrastructure
  • Automating manual processes with CI/CD pipelines to cut operating cost and human error
  • Building robust, scalable infrastructure including on-premise integration on demand
  • Implementing serverless solutions to reduce infrastructure cost and improve performance

Big data pipelines

  • Designing analytics software solutions based on business requirements
  • Developing, testing, evaluating and maintaining analytics tooling
  • Preparing data for analysis: cleaning, quality checks and merging to a single point of analysis
  • Building event-based infrastructure for data processing
  • End-to-end solutions including delivery to the required warehouses, on-premise included

Data analysis and visualisation

  • Processing the data to the point of analysis with every data point required
  • Preparing reports for stakeholders, including insight and predictions
  • Creating custom algorithms for specific client needs
  • Visualising all reports and insight
  • Creating visual dashboards, including deployment on the client side
How we help

How we help scale up your business

Create data stories and generate the insight that puts you ahead of the competition.

Data management

High-quality data is the whole game. We guide clients in maintaining a robust data framework, with engineers who know how to ingest, store and organise corporate data properly rather than quickly.

Data warehouse services

Analytics consulting to keep your data consistent. We support the full suite of DWH practice — implementation, upgrades and migration — and can either build the warehouse or advise on the performance of the one you have.

DataOps for enterprise data management

We merge agile practice with analytics to move your data transformation forward. DataOps automates and streamlines the flows, and renovates the data life cycle from retrieval through to analysis as one unified flow.

Business intelligence and analytics

Our BI services turn data into visualisation people trust. We use robust platforms and build bespoke ones, handling everything from storage through to delivery.

Artificial intelligence for big data

We link your data ecosystem to intelligent algorithms to surface insight and automate decisions — including augmented and predictive analytics across large stores, from deep learning models to process automation.

Data science

Data science with machine learning, AI and deep learning built in. Our scientists create analytical modules for your specific data challenges, so you can respond to market and customer change faster.

Benefits

How you can benefit from it

Get the most from your data oceans with data engineering and advanced analytics.

Enhanced decision-making

Eliminate the tedious guesswork and take informed steps into the future.

Optimise costs

Real-time forecasting and monitoring for higher ROI and revenue.

Proactive problem-solving

Identify the potential roots of failure and asset breakdown in real time.

Enhanced customer experience

Generate personalised customer offers based on actual behaviour.

Advanced analytic capabilities

High-level methods and tooling to project future trends.

Risk mitigation

Minimised risk by optimising complex decisions at scale and speed.

Use cases

Big data analytics use cases

Robust analytical capability to solve challenges across industries and amplify decision support at every business stage.

Manufacturing

Struggling to understand the root causes of manufacturing failure? Suffering unexpected breakdowns and costly downtime? Our analytics work optimises the processes behind both — reducing equipment downtime and lifting product quality.

  • Predictive maintenance and condition monitoring
  • Warranty reserve estimation
  • Propensity to buy
  • Demand forecasting
  • Process optimisation

Retail

Lagging behind your competitors? Establish a data-driven strategy and leave them behind. Uncover hidden opportunities for yield increase and predict future buying habits. Attract new customers and retain the regulars with personalised offers and on-point recommendations.

  • Predictive inventory planning
  • Recommendation engines
  • Upsell and cross-channel marketing
  • Market segmentation and targeting
  • Customer ROI and lifetime value
  • Customer service analytics

Healthcare and life sciences

Introduce value-based care by analysing every type of patient data. Avoid preventable disease through proactive symptom tracking. With analytics in place you get a full view of clinical and operational data, which makes patient flow and staff load manageable.

  • Alerts and diagnostics from real-time patient data
  • Disease identification and risk scoring
  • Patient triage optimisation
  • Proactive health management
  • Healthcare provider sentiment analysis

Financial services

Stay on top of every financial transaction by applying big data in finance. Track customer spending patterns to make tailored offerings, stay aware of market change with accurate risk analysis, and use analytical power to improve credit quality and acceptance rates.

  • Risk analytics and regulation
  • Customer segmentation
  • Cross-selling and up-selling
  • Sales and marketing campaign management
  • Creditworthiness evaluation

Energy, feedstock and utilities

Meet the needs of the present by harnessing real-time energy analytics. Ensure peak performance of equipment and infrastructure to prevent outages. Deploy a smart load system and balance demand against optimal supply.

  • Power usage analytics
  • Seismic data processing
  • Carbon emissions and trading
  • Customer-specific pricing
  • Smart grid management
  • Energy demand and supply prediction

Travel and hospitality

Looking for a disruption to maximise financial results? Adopt a data-first strategy to promote loyalty. Set tailored hotel or ticket prices against different levels of demand. Spot the weaknesses and manage brand reputation by monitoring customer feedback online.

  • Aircraft scheduling
  • Dynamic pricing
  • Social media feedback and interaction analysis
  • Customer complaint resolution
  • Traffic patterns and congestion management
Technologies

Big data analytics tools and technologies

The platforms we build analytics on, picked for your data volume, latency and licensing.

Analytics, warehousing and BI

Start here

Tell us the problem. We'll tell you if it's worth solving.

Thirty minutes with an engineer, not a salesperson. You leave with a rough scope, a cost band and an honest read on feasibility.

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30 minutes with an engineer  ·  No slide deck  ·  Reply within one business day