Data management services
I help businesses make sense of their data. From cleaning and unifying datasets to building automated reporting and dashboards, I ensure your data is accurate, accessible, and actionable.
Turn raw data into reliable insights
I analyse your current data sources, workflows, and storage solutions to identify gaps, inconsistencies, or inefficiencies. I design and implement solutions to organise and manage your data effectively.
Whether it’s integrating multiple systems, centralising databases, or creating automated pipelines, I make sure your data works for you, not against you.
Typical tools and technologies include SQL/NoSQL databases, ETL/ELT pipelines, data lakes, cloud storage, APIs, and visualisation platforms. I choose the right mix depending on your data complexity, scale, and business goals.
What I manage
I manage and structure your data to provide clean, reliable, and actionable insights. From ingestion to transformation to visualisation, I make data accessible and useful.
Data integration
Connect systems, APIs, and databases to centralise data and eliminate silos.
Data transformation
Normalise, clean, and enrich datasets to ensure consistency and accuracy.
Analytics & reporting
Build dashboards, automated reports, and insights to support decision-making.
Security & governance
Maintain privacy, access control, and auditability for all your datasets.
How I work
I work closely with you to understand data sources, workflows, and pain points. Then I design, implement, and maintain data management solutions that are reliable, secure, and scalable.
Discovery & planning
Map existing data sources, identify gaps, and define metrics for success, triggers, and monitoring strategies.
Design & mapping
Design data models, pipelines, and integration points between systems for reliable data flow.
Development
Build ETL/ELT pipelines, database schemas, dashboards, and automated reporting solutions.
Deployment & support
Deploy, monitor, document, and maintain solutions with ongoing support as your data environment evolves.
Example use cases
Practical examples of data management that improve accuracy, consistency, and decision-making.
Unified customer profiles
Aggregate customer data from CRM, e-shop, and marketing platforms to create a single, reliable view of each client.
Automated reporting & dashboards
Generate up-to-date KPIs, sales metrics, and operational insights automatically, saving time and reducing errors.
Data cleanup & deduplication
Clean and normalise datasets, remove duplicates, and ensure accuracy to support both internal standards and GDPR compliance.
Ready to make your data work for you?
Let’s design data management solutions that save time, reduce errors, and deliver insights you can trust.
Contact me