How is iDBQuery used by BPOs and call centers?
BPOs and call centers use iDBQuery to ask plain-language questions across contact, agent, queue and quality data, getting cited answers in seconds without SQL. It builds one live model across your contact-center platform and spreadsheets so teams track SLA, AHT and CSAT without a data team.
Contact centers and BPOs generate huge volumes of interaction, staffing, quality and billing data. iDBQuery unifies extracts from these into one live model so operations, WFM and client-services teams ask plain-language questions and get a cited answer.
Examples:
- What is service level, average handle time and abandonment by queue and site?
- Show CSAT and first-contact resolution by team and agent.
- Which campaigns or clients are breaching SLA, and when in the day?
- What is occupancy and adherence by shift?
- What is cost per contact and margin by client contract?
iDBQuery connects contact-center platform exports, WFM and quality spreadsheets and billing data together with no pipeline, joins them, and cites each figure to source, so SLA and client-performance reporting is trustworthy. It builds dashboards for operations reviews, and the Analyst agent can investigate a service-level miss on its own.
Deployment is flexible: cloud, your own VPC, or query-in-place to keep interaction and client data inside your walls. The differentiator over generic BI is that a lean operations team gets instant, queue- and agent-level answers across every system at once, each number traceable back to source, no analyst or pipeline needed.
Updated 2026-06-22