Enterprise marketing AI / Use case 02
Connect advertising, website, commerce and internal data in one reporting system. Automate data collection and build dashboards for comparing performance across brands, channels and countries.
Records mapped to the shared taxonomy
Illustrative interface · Sample data, not client results
What we do
We build the connections that move data from your marketing tools into your warehouse or reporting platform. We align campaign names, currencies and metric definitions, check the totals and create dashboards for regional teams and leadership. AI can summarise changes and help users query the approved data.
Marketing analytics and data teams combining reporting across brands, channels, agencies and countries.
Automated data pipelines, a shared metric dictionary, and dashboards for marketing and finance.
How it works
Connect advertising, website, commerce and internal data
Standardise campaign names, currencies and metric definitions
Check totals, missing records and update times
Publish dashboards and scheduled reports for each team
Implementation scope
We agree the required components after reviewing your current software, data and team. A project can include the following.
Identify the systems, tables and fields needed for the reports. Agree who supplies the data and how frequently it updates.
Build scheduled connections that collect, clean and combine data. Check missing records, duplicate entries and totals before updating reports.
Define how spend, sales and other metrics are calculated. Apply the same rules wherever the same metric is used.
Build reports for marketing reviews and budget meetings. Let users inspect the source data behind the numbers.
Potential data sources
We connect only sources your organisation has permission to use. Source rights, retention and the permitted purpose are recorded before integration.
Enterprise applications
These sample use cases describe possible deployments, including inputs, review steps and decisions. They are not accounts of client results.
RETAIL
Markets reconcile media, commerce and retail data differently, creating delayed and disputed business reviews.
Collect data from regional marketing platforms
Standardise campaign, product and market names
Reconcile spend and revenue
Flag missing data and inconsistent totals
Update dashboards for each team
Which brands and markets are above or below plan, and which results need investigation?
ENTERPRISE
Regions use the same KPI names with different definitions, windows and source logic.
Inventory metrics
Agree one calculation for each metric
Record changes to the formulas
Have analytics owners approve the reports
Check that reports still use the agreed formulas
Which numbers are approved for operating and board decisions?
MEDIA
Audience activity, subscriptions and campaign results are reported in separate systems on different schedules.
Combine permitted website, app and subscription events
Group audiences using agreed identifiers
Compare the content viewed by each audience group
Identify changes in engagement and subscriptions
Send the findings to the content team
Which content and audience combinations deserve investment?
Sample interface
A reporting workspace shows which sources refreshed, which records failed checks and whether the report is ready for release.
Reporting workspace · Daily refresh · Sample portfolio
Each with a named owner
978 of 1,000 scheduled checks
One blocks the monthly report
Share of sample records mapped successfully by source. Unmapped records are held for review.
Refreshed 08:30 UTC
Late file; report held
12 unmapped campaign names
Resolve the late sales feed before releasing the portfolio report.
Evaluation
Record the current process first. Review the same measures after rollout, including manual exceptions, model costs and time spent checking outputs. The comparisons below describe evaluation areas; they are not before-and-after results.
Controls for this use case
Assign source access and review responsibilities before launch. Define which failures pause the workflow, which can be retried and who receives the exception.
Read the governance detailsQuestions before scoping
We usually use your existing data warehouse and reporting software. We add the missing connections, calculations and dashboards. Any proposed platform change is agreed separately.
Yes, as an approved data source when required for analysis. The scope is data integration for marketing reporting, not CRM implementation or lead operations.
The scope can also include metric definitions, quality checks, alerts and APIs. We agree the outputs around the people and processes that will use them.