Daily data preparation supporting Customer 360 at Motilal Oswal
Fristine Infotech delivered daily extract, transform and load work for Motilal Oswal Financial Services. The engagement supported the preparation and loading of enterprise financial data into Customer 360.
A recurring enterprise requirement
At this scale, data preparation is an ongoing operational responsibility. The business needed substantial financial information, including data associated with trading activity, to pass through ETL each day and become available within its Customer 360 environment.
Our delivery role
Our responsibility covered the daily ETL activity. This overview deliberately stays at a high level: internal sources, transaction details and implementation architecture remain confidential. It does not attribute every element of the wider technology programme to Fristine.
Public acknowledgement
Coverage of Zoho’s September 2026 announcement names Fristine Infotech in the implementation context. The broader announcement describes a phased enterprise deployment. Its vendor-reported scale provides context for the programme, rather than a separate performance claim for our ETL work.
Read the published coverage.
The delivered outcome
The engagement established daily ETL supporting the flow of prepared information into Customer 360. No financial return or quantified efficiency improvement is claimed here. The case demonstrates experience with a recurring enterprise data requirement and the confidentiality needed to describe financial-services work responsibly.
Discuss your enterprise data requirement. Share the use for the output, broad source categories and required update frequency.
Frequently asked questions
What did Fristine Infotech deliver?
Fristine Infotech’s role covered daily extract, transform and load activity supporting Customer 360 for Motilal Oswal Financial Services. This overview focuses on that delivery responsibility. The wider technology programme involved other capabilities and participants, so its entire scale should not be attributed solely to this particular workstream or delivery team.
Why was daily data preparation needed?
The engagement involved a large financial-services operation with substantial financial data, including trading activity, to prepare and load each day. Customer 360 depended on that recurring flow of prepared information. The project is described at a high level to protect confidential source-system details, transaction information and the implementation architecture.
What is ETL in this context?
ETL means extract, transform and load: moving source information through a preparation process into the system that needs to use it. In this case, Fristine’s daily ETL work supported Customer 360. The term describes a delivery activity; it does not by itself establish a specific data model, software architecture or processing speed.
Can you share the internal systems or architecture?
This public overview does not disclose internal source systems, transaction details or implementation architecture. Those details belong within the client’s confidentiality arrangements. A prospective engagement can begin with your own business requirements and information flows without requiring either party to share another organisation’s protected operational information or confidential project materials.
Is the project acknowledged publicly?
Published coverage of Zoho’s September 2026 announcement names Fristine Infotech in the implementation context. That provides public context alongside the delivery role described here. Vendor-reported figures about the wider programme should retain their attribution and should not be treated as an independent audit of Fristine’s particular workstream or its business impact.
Does this case claim a financial return?
No financial return, cost reduction or sales uplift is claimed for Fristine’s ETL work in this overview. Its purpose is to describe the delivered responsibility and enterprise context accurately. A new data project should define its own operating measures and assess business impact using evidence from that implementation rather than borrowed results.
Can a Customer 360 programme start with one data flow?
A phased programme can be assessed around an initial business use and its required sources. The important questions are which records need to be prepared, who owns their definitions and what makes the output acceptable. The right starting scope depends on the organisation and should not be inferred from another client’s architecture.
What should we bring to an initial discussion?
Describe the business use for Customer 360, the broad source categories, the required update frequency and the teams that will approve the output. Begin with non-confidential examples of the problem. Detailed access and data sharing can follow an agreed process once the parties understand the scope and the relevant handling requirements.