SAP HANA Real time Data Analytics

PRESENTED BY: ALI ASAD, ANKITA BANERJEE, ISRAA TOLSON

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Introduction of logistics and old method Case study DHL Last mile delivery Dimension and measures Star Schema – Prototype Data Models Views Analysis Conclusion Benefits

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Introduction of logistics Logistics is the process of planning , implementing and controlling the

efficient effective flow and storage of goods and related information from point of origin to point of consumption for the purpose of meeting customer requirements.

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Previous Methods• Previously, Sales order was created.

Incase of DHL, as soon as the package arrives at destination Delivery order was created.

• While creating Delivery order, We put a time & date on Point of delivery.

• Those date and time was the only way that can be used to ensure whether the package has been delivered successfully.

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5Case Study – DHL Last Mile Delivery• With the final part of the delivery journey (the so-called “last mile”) being highly

dependent on Vehicles and Drivers, and as consumer demands become more sophisticated and delivery points continue to multiply, logistics providers face new challenges.

• Lets consider Baden Württemberg as an example. There would be 10 Vehicles for example with 10 different drivers. One fine morning, one of the driver is sick, and one vehicle has some mechanical problem.

• Data about these two situations should be instantly available to central office so that they can assure timely arrival of couriers to respective customers by re-routing working vehicles and drivers.

• This topic will further be presented during our project and you will see real time update of such data to SAP Dashboards based on SAP Lumira.

http://www.dpdhl.com/content/dam/dpdhl/presse/pdf/2015/DHLTrendReport_Internet_of_things.pdf

6Dimensions For our analysis , the following dimension are used:

TIME DRIVER VEHICLE ROUTE

The measures were: The vehicle status The driver’s health status Route Distance in Km. Other Restricted columns were also used as Measures.

Tables and views were created using SAP Hana studio on Eclipse and analysis was done in SAP Lumira

7Star Schema - Prototype

8Data Models – SAP HANA Driver Master data table with driver

ID as key figure.

Time Master data table, that was not taken from time dimension. Because Standard table had no data, and there were lot more attributes, that did not add value if corresponding data was generated.

9Data Models – SAP HANA Vehicle Master data that has

Vehicle_id as the primary key.

Region Master data with region_id as the primary key.

10Data Models – SAP HANA Transaction data for DHL Real time

Analytics with primary-foreign key relationship and three measures namely;

1. Vehicle Status – having values between 0 and 5. Range between 3 – 5 is considered as safe status. And range between 0-3 is unsafe.

2. Driver Health Status, 0 means sick, and 1 means healthy.

3. Route distance mentioned in Km.

11Attribute viewsDRIVER TIME

REGION VEHICLE

12Analytic view

13 There were three measures in

our fact table, but in order to make our analysis more detailed, we have added 6 more restricted columns as measures.

Analytic View: Restricted Columns as Measures.

14Analysis

15Analysis

16Analysis

17Analysis

18Conclusion

Dashboards that have been presented, clearly shows several measures in comparison to dimensions on different types of graphs.

Those can be used, by control centre operator to make sure that efficiently functioning vehicles are driven on long routes, keeping driver’s health status in perspective.

These dashboards need to be studied, together in order to come to conclusion, because several measures against several dimensions on the same chart is not possible.

We believe, that this data model can further be extended to include all of Deutschland, and then geographic graphs can also be utilized providing more insights to real time analysis.

19Benefits of SAP HANA for logistic Provide timely delivery information to support more intelligent decisions around

scheduling and order fulfillment.

Use real-time information to make adjustments to modify delivery options.

Simplify system administration and IT operations with tools that help you monitor processes, ensure data and application security, and achieve continuous availability.

Since SAP S/4HANA uses a new data model, aggregates and indices are no longer necessary, so significantly less memory space is required than with conventional database management systems. 

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Thank You for listening patiently.We are open to your Question.