Cross Commodity Profitability Analytics Demonstration
See how you can use the Financial Module to deploy cross commodity profitability slice/dice drill through capability across natural gas, crude and electricity.
What Entities can I use in this demo to slice and dice and do drill through analysis to get descriptive, diagnostics, advanced and predictive analytics?Book, Curve, Buy Sell Flag, Counter party, Trade Type, Commodity, Grade, Peakness, Shape, Amount Period, Delivery Date, Delivery Month and Delivery Year. The accounting module comes predefined with 38 such entities arranged in a multi level hierarchy.
What measure can I use in this demo to slice and dice and do drill through analysis to get descriptive, diagnostics, advanced and predictive analytics? P&L, Trade Price, Market Price, Difference of Trade and Market Price. The accounting module comes predefined with 42 measures.
Are reruns at month end, quarter end and year end supported? Yes, intra day and end of day reruns are supported with audit and snapshot functionality
Are sub ledger, income state and balance sheet nodes covered in entities? Yes
Can I do my accounting period close processes and have it push the data into ledger systems? Yes
What is the underlying technology? Azure HDInsight Cluster, Embedded Power BI, R Server with Spark
Can I use my data instead to test drive Big Analytixs platform? Yes we will help you set up a no obligation complimentary trial. Click here to get started
How configurable are the data pipelines and workloads? The data source entity on bottom right of the demo lists the predefined extractors used. The platform comes packaged with predefined extractors for all types of sources.