In-depth Data comes from
Human Intelligence + Business Intelligence
1) Detailed Foundational Data
Humans Callers speak with contacts in a very nuanced empathetic way, allowing human Callers to obtain more detailed information during a conversation, compared to the filling out of an online survey ... assuming a contact starts the survey.
This human-collected data is then be updated into discrete fields, with categorized data-options, in a database allowing Business Intelligence reporting systems to display full spectrum data, graphics and analytics. Supplementary information can be included for additional context
2) Data Assessment
Humans can then look at the data against expected (needed) outcomes, goals or milestones to make assessments and recommendations. Humans can provide additional context against the data or suggest enhancements to codify the contextual references.
Business intelligence and analytics systems can present information in formats including grid-based data, as graphs, and/ or as adjustable KPIs with drill downs. What-If (aka: If/ Then) scenarios can also be run to assess various perspectives on what the data is saying.
3) Closing the Loop
Based on the information from BI and any human-based recommendations, humans can take actionable steps to adjust, correct, scale-up or continue as-is. Humans can also adjust the data being captured, reports and metrics as needed.
Business intelligence systems are then further codified to accommodate any adjustments ensuring consistency of data and reporting moving forward. We then return to Step 1 and continue the process.