Data work follows a lifecycle: sources, collection, storage, engineering, analytics, visualization, and the decision. Dashboards without a maintained pipeline become stale. Warehouses without a question become storage bills. We start from the decision.
- 1
Name the decisions
The reports and models follow the questions, not the other way around.
- 2
Make the data trustworthy
Pipelines, models, and a place the numbers agree.
- 3
Show it
Dashboards and reports for the people who act, with definitions written down.
- 4
Keep the pipe
Analytics and reporting are recurring. Sources change.
Services in this category
- core
Data Analytics
Analysis aimed at a business question, with the method and the limit stated.
- specialized
Business Intelligence
The ongoing practice of turning operational data into management views.
- specialized
Interactive Dashboards
Screens people filter themselves, instead of requesting a new export.
- support
Data Visualization
Charts and views designed so the pattern is visible and the decoration is not the point.
- specialized
Data Engineering
Pipelines that collect, clean, and deliver data on a schedule you can trust.
- support
Database Design & Management
Databases shaped for the workload, then looked after.
- specialized
Data Warehousing
A store built for analysis, separate from the systems that run the day.
- support
Reporting Systems
Scheduled reports with owners, definitions, and a distribution that people still read.
- specialized
Real-time Analytics
Analysis on data as it arrives, for operations that cannot wait for tomorrow’s file.
- specialized
Predictive Analytics
Models that estimate what is likely next, tied to a planning or risk decision.
- emerging
Big Data Solutions
Architecture for volumes and variety that a single database will not carry.
Solutions that use this work
Questions
- We have reports already. Why a data project?
- When each team’s numbers disagree, or when the report is assembled by hand every week, the issue is the path of the data, not another chart.