Order-To-Cash (O2C) Analytics:
Evaluate your ordering
Leverage your data to get timely insights into the overall health of order processing system and process.
You have the data. Now get the insights.
Enable business users and data analysts to perform analysis with high ease and collaborate seamlessly, providing a readily available avenue for insights across your organisation.
Powerful Visualizations to understand
the data better
Equip your teams with powerful visualizations and reports, on-demand and on-schedule, to speed up decision-making.
Analyse large volumes of transactional
data with ease
Easily handle and analyse millions of rows or petabytes of transactional data, instead of sample analysis.
Perform complicated combinatorial
analytics with no-code
Employ advanced analytic techniques and make yourselves future-ready for further machine learning and AI capabilities.
Explore what you get from our O2C analytics
- Order Analysis
- Customer Analysis
- Fraud Analysis
- Relationship Analysis
Order Analysis
Enhance your understanding of orders and their related transactions by embedding order analytics.
- Gain insights into orders of various types - repetitive, urgent, non-regular, discretionary etc.
- Reduce wastage or fraud abuse by identifying duplicate orders or anomalies.
- Combine your analytics with order analysis and identify anomalies such as details mismatch.
Customer Analysis
Perform certain customer analytics with respect to orders by examining both together.
- Perform customer location analysis, invalid customer checks etc.
- Observe various relevant details such as customer changes, customer credits etc.
- Examine details of returns such as return receipts,return analysis, credit notes issuance etc.
Fraud Analysis
Integrate fraud analysis of transactions related to ordering with no extra effort.
- Perform validations and verifications of order details including invoice mismatches, invalid orders etc.
- Reduce chances of order fraud by identifying order duplicates
- Undertake certain validations related to customers and receipts.
Relationship Analysis
Easily identify conflicts of interest by embedding relationship analytics between various entities.
- Perform various conflict of interest tests like Credit Segregation etc.
- Identify any unexpected relationships between various entities and persons related to ordering process.
- Easily perform cross-verification across multiple data sets to identify anomalies.
