Data engineering & analytics
Data your teams can act on
We collect data from the systems you already run, clean and model it, and present it in reports and dashboards that people use to make decisions.
Capabilities
Data collectionIntegrationTransformationCleansingModellingReportingDashboardsData management
Analytics
DescriptiveDiagnosticPredictivePrescriptive
The problem
Most organisations have plenty of data and little insight
Data in disconnected systems
Each system holds part of the picture, in a different format, with no single place to analyse it.
Manual collection and reporting
Analysts spend their time gathering and reconciling data instead of acting on it.
Quality you cannot trust
Missing, duplicate and inconsistent records undermine every report built on them.
What changes
What good data engineering gives you
Operational efficiency
See which operations deliver results and which processes need improving.
Skills without the hiring
Access data engineers, analysts and database specialists without building an in-house team.
Time back for your team
Automated collection and reporting replace manual spreadsheet work.
Data handled securely
Confidentiality and access controls are part of the design, not an afterthought.
The four types of analytics
From what happened to what to do next
Descriptive analytics
What happened? Combines data from multiple sources to describe past events.
Diagnostic analytics
Why did it happen? Drills into issues, dependencies and patterns behind the numbers.
Predictive analytics
What is likely to happen? Uses historical patterns to forecast trends and risks.
Prescriptive analytics
What should we do? Uses rules, algorithms and models to recommend actions.
How it works
How we deliver analytics
01
Collect and integrate
Identify the data needed and bring sources together through integration routines.
02
Transform and cleanse
Convert to a common format, then profile and clean so the data is consistent and unique.
03
Analyse
Apply the right analysis — descriptive through to predictive — to the business question.
04
Visualise and share
Present results in charts, tables and dashboards that fit how your teams work.
Integrations
Engineers who run production systems every day
Our services team builds, hosts and supports Denizon’s own products — FieldElite, CrowdSense and ecoVaro — so the advice you get comes from people who operate real systems, not just design them.
- PostgreSQL and other relational databases
- Kubernetes and containerised deployment
- RabbitMQ and message-based integration
- REST APIs and system-to-system integration
- Cisco Meraki and IoT sensor data
FAQ
Questions we get asked
Do we need a data warehouse first?
Not necessarily. We start from the business question and the systems you already have, and recommend a warehouse only when the volume and variety of data justify it.
Can you work with data from our existing systems?
Yes. Collecting and integrating data from databases, applications, files and sensors is usually the first part of the work.
How is our data kept secure?
We agree access controls and data handling with you at the start, and keep the confidentiality of your data central to how pipelines and reports are built.
Related
Related services
Operations
Database & application management
Keep databases and applications healthy without an in-house team.
Have a question your data should answer?
Tell us what you need to know and where the data lives. We will suggest a practical first step.