Data Quality Features - Give information about the quality of data for specific user, include how recent data is
They are returned in the kenya/features/data-quality endpoint. Definitions of these features generated by Pngme are:
| Feature | Definition | Use Case | Value Proposition | Response value | |
|---|---|---|---|---|---|
| data_density_{t0_days}_{t1_days} | Ratio of active user days to total number of days in range, over the previous t0 to t1 days, where the time windows are 0-30, 31-90, or 0-90 days history prior to the prediction date. | • Customize the user experience, displaying relevant information or features more prominently for users with higher engagement ratios • Offer incentives, promotions, or rewards to re-engage users who have been less active, encouraging them to explore additional services • Proactively address the needs of users whose engagement has decreased, offering personalized solutions to retain their loyalty • Implement usage-based fee structures for certain services based on user engagement ratios | • Understand how frequently users interact with financial services and products, enabling institutions to tailor their offerings accordingly • Categorize users into segments such as high-engagement, moderate-engagement, and low-engagement, allowing for personalized communication and product recommendations • Optimize the timing, frequency, and channels of communication, ensuring that messages are well-received by actively engaged users • Prioritize product development and features based on user engagement ratios | {float, null} | |
| data_oldest_minutes | The time in minutes between utc_endtime and the oldest financial event or alert, as an indicator of data age, or earliest activity within a 180 day period. | • Actively track transactions which occured farthest to utc_endtime to identify potential anomalies or suspicious activities • Send relevant communications to users based on their earliest financial events such as trigger notifications, alerts, or reminders to keep users informed about loyalty offers. • Adjust risk scores based on the age of financial events, ensuring that risk assessments are reflective of the earliest user behavior • Target users financial activity legth, tailoring marketing messages and offers to align with their current financial needs and interests | • Leverage the time difference to dynamically update reporting and dashboards by working with the earliest financial data, providing a more accurate and timely picture of the current financial landscape • Set thresholds based on the age of financial events, flagging or investigating transactions that deviate from expected recency patterns • Send targeted communications, alerts, or offers to users, taking into account their earliest financial activities | {int, null} | |
| data_recency_minutes | The time in minutes between utc_endtime and the most recent financial event or alert, as an indicator of data recency, or freshness. | • Actively track transactions occurring close to utc_endtime to identify potential anomalies or suspicious activities • Send timely and relevant communications to users based on their recent financial events such as trigger notifications, alerts, or reminders to keep users informed about their financial activities • Adjust risk scores based on the recency of financial events, ensuring that risk assessments are reflective of the latest user behavior • Target users with recent financial activities, tailoring marketing messages and offers to align with their current financial needs and interests | • Use the time difference as an indicator of data recency to make real-time decisions • Leverage the time difference to dynamically update reporting and dashboards by working with the latest financial data, providing a more accurate and timely picture of the current financial landscape • Set thresholds based on the recency of financial events, flagging or investigating transactions that deviate from expected recency patterns • Send targeted communications, alerts, or offers to users, taking into account their recent financial activities | {int, null} |