AI Solutions · Data and analytics
Data and analytics that turn records into decisions.
We bring data from your separate systems into one place, agree what each number means and build dashboards people actually open. Clean data also makes later AI work possible.
In short
What is data analytics?
Data analytics is the practice of collecting, cleaning and analysing business data to answer questions and guide decisions. technocity connects your systems into a central data warehouse, defines shared metrics, builds dashboards for each team and sets up scheduled reports, so leaders see consistent numbers without exporting spreadsheets.
Sound familiar?
The problems we solve
Each team reports a different number for the same thing
Monthly reports are built by hand from exports
Data sits in separate tools that do not talk
Dashboards exist but nobody trusts or opens them
What’s included
How we can help
Data audit
A review of your data sources, quality issues and the questions leaders need answered.
Data warehouse and pipelines
Automated loading of data from your tools into one warehouse, refreshed on a schedule.
Dashboards and reporting
Dashboards for leadership and each team, with agreed metric definitions.
Analytics support
Ongoing new reports, data fixes and analysis on request.
Timelines are typical starting points. Every project is scoped with you first.
What you get
- A data warehouse with documented tables
- Scheduled pipelines from each source system
- A metric dictionary with agreed definitions
- Dashboards for leadership and each team
- Automated weekly or monthly email reports
- Data quality checks with alerts on failures
Tools and technology
How it works
From first call to results
List the decisions
We start from the decisions leaders make and the numbers they need for them.
Connect and clean
We load data from each system and fix duplicates, gaps and mismatched IDs.
Define the metrics
We agree one definition for each key number and record it where everyone can see.
Build and review
We build dashboards, then check usage after a month and remove what nobody opens.
Questions
Common questions
What is a data warehouse and do I need one?
A data warehouse is a central database that stores cleaned data from your different systems for reporting. You likely need one if reports require manual exports from several tools or teams disagree on numbers. Smaller businesses can start with a simple PostgreSQL warehouse.
Which dashboard tool should we use?
The right dashboard tool depends on your budget, data size and who will build reports. Metabase and Looker Studio suit most small and mid-sized teams, while Power BI fits companies already on Microsoft 365. We recommend based on your existing tools.
How do you combine data from different systems?
Data from different systems is combined by loading it into one warehouse and matching records with shared identifiers, such as email, order number or customer ID. Where identifiers differ, we build mapping rules and flag records that cannot be matched.
Can AI analyse our business data?
AI can help analyse business data by answering plain-language questions and spotting patterns, but only if the data is clean and well defined. Without a reliable warehouse and agreed metrics, AI answers will be inconsistent. We fix the data foundation first.
How often can dashboards update?
Dashboards can update anywhere from every few minutes to once a day, depending on the source systems and cost. Most business reporting works well with hourly or daily refreshes. Near real-time updates are possible where the source supports them.
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