Authors: Sunil Kumar
Company: TATA Power Delhi Distribution Ltd
Key Objectives –
1. Enhanced customer experience – by bringing down the overall installation processing time
2. Integration of data at various segregated layers like – AMR, GIS, SAP ISU, BW HANA
3. Reduction in the efforts put in by NEG teams by involving in manual activities to extract and analyses data for asset utilization.
4. Lay down foundation for proactively augmenting the network, assets even prior to request from applicants.
End User Situation:
1. When NEG gets the case from CMG for checking the technical feasibility against the applied load by applicant, they extract data manually from various sources like, AMR, GIS, SAP and work manually to derive the network and asset utilization.
2. Manual working often lead to errors and thereby lead to delay in processing of the applicant’s request for new connection installation.
SAP HANA is used for big data processing (sourced from various sources like – AMR, GIS, etc) and a unique integration is developed to transport processed data from HANA to SAP.
A unique data flow mechanism was developed to transport data from HANA to SAP ISU, as against the standard and usual scenario of data flow
from SAP to HANA database. So in this scenario HANA became the ‘Destination’ as well as a ‘source’. The data from different sources were sent to HANA and all System Based Technical Feasibility for Consumer New Connection Process on BW-HANA the complex business logics were developed in HANA instead of SAP for utilizing the HANA processing capabilities and the processed data was sourced from HANA to its final destination in SAP.
To create a system based provision which could bring the network/ asset (DT) utilization data from various sources to a single point and based on system based algorithms the technical feasibility may be derived from an available network against the additional load growth applied from the same network.
How to develop?
1. First we have modeled the process for DT peak load.
2. Design the SQL calculation view in HANA Studio as below
3. Developed Virtual provider using this calculation view as:
4. Pull the data from this virtual provider in ECC ISU system using with RFC function module as RSDRI_INFOPROV_READ_RFC.
CALL FUNCTION ‘RSDRI_INFOPROV_READ_RFC’
I_INFOPROV = ‘ZDM_VP01’
I_REFERENCE_DATE = SY–DATUM
I_AUTHORITY_CHECK = RSDRC_C_AUTHCHK–READ
I_T_SFC = G_T_SFC
I_T_SFK = G_T_SFK
I_T_RANGE = G_T_RANGE
E_T_RFCDATA = G_T_RFCDATA
E_T_RFCDATAV = G_T_RFCDATAV
E_T_FIELD = G_T_FIELD
ILLEGAL_INPUT = 1
ILLEGAL_INPUT_SFC = 2
ILLEGAL_INPUT_SFK = 3
ILLEGAL_INPUT_RANGE = 4
ILLEGAL_INPUT_TABLESEL = 5
NO_AUTHORIZATION = 6
GENERATION_ERROR = 8
ILLEGAL_DOWNLOAD = 9
ILLEGAL_TABLENAME = 10
DATA_OVERFLOW = 12
OTHERS = 13.
5. Developed Module pool entry screen for end user as:
Control Project Closer:
A new unique landscape worked out during brainstorming
As the requirement involved huge data from various different
landscape, so an efficient and optimized runtime processing was a big
Control Project Closer:
A new unique landscape worked out during brainstorming session.
As the requirement involved huge data from various different landscape, so an efficient and optimized runtime processing was a big challenge.
1. Availability of data from various sources to one location for ease of working by involved groups
2. Enhanced data integrity as various system based algorithms will help highlight any data discrepancy among various different sources
3. An advanced step towards ‘Ease of Doing Business’ for enhanced Customer Experience (by over all reduction in process cycle time)
4. Enhanced IT user experience (ease in working through IT system based automation)
5. Utilization of Advanced SAP HANA technology for this process (First time such landscape modeling has been used in TPDDL scenario)