Data Engineering and Data Operations

Building a robust data infrastructure to power your digital Initiatives

    We combine our services with Incedo Digital Accelerators to develop solutions for enterprises to power up a ‘Data As a Service’ capability that is critical to enable access to data across the Enterprise. This in turn, helps accelerate the integration of Analytics into business processes and reduce the time to value from digital assets.

    The digital natives have created data as a source of competitive advantage by treating it as a core Enterprise Asset. This mindset has driven a strong capability in building the technology and process infrastructure around data and offering to the enterprise as ‘Data as a Service’.

    Incedo helps organizations in building this capability:

    • Data Infrastructure Solutions: Design and deployment of the data enablement layer (e.g. Data Lake) both on the cloud and on-premise
    • Data Engineering Solutions: Data pipelines from source systems and data processing to be served up to the Enterprise
    • Data Governance Solutions: Design and deployment of data governance solutions to implement enterprise data policies and compliance requirements
    • Data Ops (Operations): Ongoing management, support and enablement of data access

    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

    Incedo Data Engineering and Operations Offerings

    Data Infrastructure Solutions
    Data Infrastructure Solutions
      Data Engineering Solutions
      Data Engineering Solutions
        Data Governance Solutions
        Data Governance Solutions
          Data Operations
          Data Operations
            data engineering services

            Our Differentiators

            Data Science and Analytics Focus
            Data Science and Analytics Focus
              Data Engineering Accelerators
              Data Engineering Accelerators
                World-Class Engineering Services
                World-Class Engineering Services
                  Managed Services
                  Managed Services

                    Get In Touch

                    We are always looking for new ideas and new partnerships. Contact us to see how we can help you.

                    Talk to sales
                    Talk to sales
                    +1-408-531-6040
                    Email us
                    Email us
                    inquiries@incedoinc.com