Intelligence and Automation
Data and Analytics
Bring data from across your systems into one place and make it answer questions.
The business problem
Useful data exists but sits in separate systems with different formats. Combining it means manual exports, and by the time the analysis is done the moment to act has passed.
Core capabilities
- Data consolidation across sources
- Historical data migration and cleaning
- Trend and pattern analysis
- Scheduled reporting
- Export and downstream integration
How we deliver it
Audit existing data sources and quality
Define the questions the data must answer
Consolidate, clean and validate before analysing
Customisation
Data models, consolidation rules and reporting cadence are configured to your sources and questions.
What to have ready
Most of what decides whether this works is settled before any software is configured.
- A specific question, because analytics without one produces charts and no decisions
- Data whose gaps you understand, so conclusions carry the right confidence
- Agreement on the period and definitions before anyone compares numbers
- Someone who will own the answer once it exists
When this is not the right fit
- You have not yet got operational data recorded consistently; analysis comes after capture
- You need statistical or scientific modelling rather than business reporting
- The question you want answered is one nobody will act on either way
Relevant industries
Integration possibilities
Every integration carries an honest status. Open one to see its current position, what it connects and what it needs.
Questions
Talk to us about data and analytics
Tell us how this works in your business today and we will be straightforward about what fits.