If you have successfully scaled data operations, what helped you achieve this?
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CIO in Softwarea year ago
Business alignment and collaborationCTO in Softwarea year ago
In my experience we scaled data operation teams thanks to the introduction of a self-service data management system that allow each team to:- browse existing data products and reuse them
- define new data products starting from a common data repository and metadata catalogue
- manage the lifecycle of owned data products and collaborate with other teams to improve them
The idea is the DDD applied to data. We can speak about Data Mesh and Data Fabric.
A Digital Integration Hub is a good starting point for that kind of approaches.
Practice Head, Cognitive AI in Bankinga year ago
Apart from other comments here - Automation & AI - will help expedite data ingestion, cleansing, and processing. It will also help drastically reduce manual effort, mitigate errors, and assure the scalability of your data operations.
Collaboration - with various internal stakeholders of business segments to know their data requirements, identify the most useful insights, and consequently prioritise your data initiatives. This will lead to the organisation-wide development of a data-driven culture and a mindset change for everyone. It will enable your data integration / cloud team to avoid the data grave situation where you end up dumping all data and never using it again.
Lastly, having a data governance council was important for data governance, which included categorization, authorization, laws and regulations, and data quality control processes. This will ensure data security , quality, and compliance.
VP, Data and Opexa year ago
Data operations have scaled by increasing the usage of data to make decisions across customer lifecycle. Usage drive need for investments in foundational data capabilities and people to keep on scaling the value derived from these initiatives.