KPIQUEST
Key Performance Indicator (KPI) Dashboards
KPIQuest is a Management Dashboard to be able to review, analyze and drill down to any data available in the IntellaQuest Platform and, if needed, pull data from other systems such as ERP, CRM, HR etc. Features out-of-the-box integration with Microsoft Power BI and capability to integrate to your dashboarding platform of choice. All your Key Performance Indicators in one place.
Challenges Addressed
- Not able to see the key drivers and metrics of the business in one place
- Reports developed and circulated via email are out of date, not real time
- Reports not accurate due to manual errors
- Onerous data collection and collation to the appropriate reports
- Each function and person want to view and analyze the data differently, leading to a proliferation of reports and extensive efforts to create and maintain reports
- Data is static with no ability to drill down as you identify areas of concern
- Multiple locations where the data for reports are kept so people have to go to different systems for different metrics and data
- Difficult to get reporting of data over time for analyzing and identifying trend lines over time
KPIQUEST SOLVES THE CHALLENGES OF KEY PERFORMANCE INDICATOR (KPI) DASHBOARDS WITH…
One KPI Dashboard
One place to track any and all metrics from within the IntellaQuest platform or other systems
Native Microsoft Power BI Integration
Powerful Microsoft Power BI capability to build any reporting dashboard to display the data exactly the way you want to see it
Integration to Analytics Platforms
Can be integrated to other Analytics Platforms as well, such as Sisense, Tableau and others
Real Time Data
Provides real time data, any time, all the time
API Integration Capable
Bring data from your other systems such as ERP, CRM and HR for one single dashboard
Configurable Dashboard Views
Align the data to how each person needs to see it
Drill Down Analysis
Drill down from the highest-level data all the way down to single record detail
Trend Analysis
Look at data over time (daily, monthly, annually) to identify trend lines
