Data Engineering and Data Operations
Building a robust data infrastructure to power your digital Initiatives
Need for Data Engineering Services
What makes us different?
Incedo brings deep expertise developed from building some of the world’s largest and complex data systems. We believe that the following critical factors drive a successful data engineering initiative in an organization:
- Outcome focus: Always start with a business goal and drive the data and technology design and implementation to support the business outcomes
- Take an integrated approach that goes all the way from consumption (System of Engagement) to the data ingested from source systems(System of Records)
- Outcome focusFull-stack approach: Take an integrated approach that goes all the way from consumption (driven by business use-cases) to the data ingested from source systems
- Data APIs: Implement well-defined data APIs that enables the integration of datasets from disparate into a consistent taxonomy across the enterprise
- Feature Store: The time to value from AI/ML can be reduced dramatically by enabling a well-established set of features that can be reused across use-cases
- Data governance enabled through technology: Augment the existing MDM systems by creating robust data quality mechanisms that enforce data integrity and consistency across the enterprise
Get in Touch
Register for a 30 minutes no-obligation Digital Journey assessment session.
At the end of this 30 min session, walk out with:
- Validation of your project idea/ scope of your project
- Actionable insights on which technology would suit your requirements
- Industry specific best practices that can be applied to your project
- Implementation and engagement plan of action
- Ballpark estimate and time-frame for development