Data Quality Agent: continuous monitoring of data feed quality
Business question
Is the data feeding our KPIs and analyses complete, consistent and up to date, and how can we know without asking IT every time there is a doubt?
Data required
All data feeds ingested into the cockpit (CRM, contracts, billing, phone interactions, emails, chat, complaints, reviews, web and app), with their loading metadata: expected vs received volumes, date and time of last load, fill rate per field, customer and contract identifiers, reference lists of allowed values.
Sample result
An agent that continuously checks every data feed and detects missing fields, inconsistencies, duplicates and feed interruptions. Each anomaly is translated into business language (for example: 3,200 phone channel calls not linked to a customer since Monday) with its impact on the affected KPIs. All sources are harmonized into a single working format, and business teams get a data reliability dashboard they can use without going through IT or the data team.