Posilytics is an add-on analytics and visualization component on top of Posidex's world class deduplication solutions providing customer segmentation analytics , data quality analytics giving a birds' eye view of the customer data sets and other contributing key data quality indicators of your customer data. Posilytics analyzes the streaming data in realtime enabling your organization to score the quality of incoming customer data and conduct segmentation analysis of the clusters. Easy to customize, export and share the results, reports and stats for top management consumption.
Posilytics helps enterprises analyze their information into business results through data-driven analytical capabilities. The always-on stream of relevant data related insights with powerful visual story telling ability help clients drive successful business outcomes.
Customer Segmentation and Insights
- Slice and dice the data for better Cross-sell and Up-sell Insights, Risk and Fraud detection, Location based discovery etc.
- Improve overall current and future business performance leveraging historical data.
- Customer lifecycle and Data gap Analysis Management. Customer On-boarding-> Customer Engagement-> Customer Retention
Data Quality Scoring & Analysis
- Data Quality assessment across data sets and various parameters. Data Quality enhancement suggestions.
Matching rule Analysis
- Rule wise contribution, monitoring the rules. Recommendation to improve and meet the set precision and recall. Suggestion on increasing system matches and reducing referral matches.
Golden record Insights & Analysis
- A detailed understanding of which source system is contributing to the data in forming a Golden record.
Reports and Stats
- 24x7 access to stats, results and reports
- Operational analytics n Matching rule analysis n Golden record insights n Reports & Stats
- Identify trends & Mitigate risk
- Slice and dice customer into segments
- By products, location, gender or other custom parameters
Data Quality Index
- Overall data quality score of organisation
- Data quality enhancement suggestions