Building Data Integrity and Accurate Forecasting for Crucial Political Research

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Client
Skala Survei Indonesia
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Category
Field Data Collection, Automated Validation, Results Forecasting
1. The Business Challenge
Before Incode Online’s intervention, SSI’s field survey data collection process was highly susceptible to fabricated data or human error, as validation was manual and centralized. Consequently, the cycle time between data collection and delivering research insights to clients was slow, delaying critical strategic decisions. The accuracy of research result forecasting was compromised, leading to client skepticism regarding data integrity.
2. The Incode Online Solution
Incode Online designed and implemented two integrated solutions:
- Mobile App Data Governance: We developed a custom Mobile App for the field team that integrates strict Geo-tagging (GPS Authentication) upon every data submission point. This ensures every data entry is automatically validated by location and time, automating Data Governance and fundamentally eliminating the risk of fictitious data.
- Predictive Analytics Backend: We built a robust analysis backend that utilizes a Time Series Analysis model. This model receives the verified data in real-time from the application, processes it, and rapidly generates forecasting probabilities for research outcomes.
3. Measurable Results (ROI)
This solution successfully transformed SSI’s research process, turning a data validation challenge into a competitive advantage.
| Performance Metric | Before Intervention | After Intervention | Key Impact |
| Forecasting Accuracy | Variable Range | Consistent 95%+ | Increased Research Credibility |
| Field Data Validation Time | Average 72 hours | Less than 1 hour | 98% Time Efficiency |
| Risk of Fictitious Data | High | Near Zero (Automated) | Guaranteed Data Integrity |