Why Organizations Need A Cloud Data Engineering Council

Authors: Sundaresan Narasimha Moorthy, Muthamizh Selvan Subburayan

At the center of Industry 4.0 (4IR), is the generation of data in high volumes from a variety of data sources, all at varying velocities. Without an efficient cloud-data framework, industries will continue to face ever-mounting data management challenges.

That’s where a Cloud Data Engineering Council (CDEC) can help.

The Cloud Data Engineering Council (CDEC) is a regulatory body within an organization that steers the data engineering capabilities in alignment with the organization’s data strategy and cloud adoption initiatives. The CDEC of a given organization eases the journey to the cloud by providing scalable, repeatable frameworks advocated by major cloud-tech providers. It also makes sure that the organization meets its own needs for building modern tech platforms.

A well-regulated cloud-adoption approach means:

● Accelerated time to market with an optimized total cost of ownership
● Effective monitoring for threat protection, avoiding resource contention
● Improved business continuity with disaster recovery & high availability
● Data Analytics & Machine Learning at scale
● Democratized/Open or Self-Serve Data platforms that minimize silos
● Reduced operational burden with Dev-Ops

How can a Cloud Data Engineering Council create business value?

A large-scale manufacturing company based out of the US is one of Tiger’s partners. They are a leading provider of precision silicon components to the trillion-dollar global electronics industry.

The pandemic along with a global chip shortage forced the client to rapidly take on large-scale cloud data initiatives. At their core, the organization is focused on manufacturing and so their data infrastructure was relatively low. They needed to instantiate data platforms at a lightning-fast pace to address their business challenges effectively.

Tiger’s way of conceptualizing, inaugurating, and nurturing a Cloud Data Engineering Council within the manufacturing organization enabled it to:

● Build successful data-driven business solutions (such as Demand capacity planning, Part validation, Labor Efficiency, Scrap & Yield Analysis, etc.) consistently with a structured strategy for Cloud Adoption. We recommended they do enterprise-level planning.
● Remain sustainable with the rapid evolution of On-premise vs Cloud vs Hybrid models in an optimized way in terms of people, process, and technology.
● Stay equipped with the right set of tools for cost management, resource planning, and utilization, scaffolding templates, and best practices.

Creating business impact with a CDEC

Across sectors, as businesses continue to grapple with accelerating data volumes in their data management journeys, a CDEC can be a key asset that helps:

● Device ways to reduce IT budgets, and avoid redundant spending on meeting data and security/compliance needs.
● Formulate flexible, democratized ways to obtain and maintain data through cloud platforms and enable the usage of data across the enterprise.
● Provide increased security and come up with ways to maintain compliance, derive policies on data encryption, data access, data sharing, access permits of the data, etc.
● Define ways to ensure cost-effective usage of enterprise-level cloud resources.
● Create a common and transparent data model.
● Define ‘Cloud Economics’ – wherein complete visibility on the total cost of ownership for cloud computing is enabled and the benefits of cloud computing over on-premises models are continuously measured.
● Define and manage processes, KPIs, metrics, and plans to ensure increased adoption of enterprise-level cloud modernization plans.

Setting up a CDEC

Step 1: Defining the Goals for the CDEC

A CDEC in an organization will

● Serve data as a product, rather than a byproduct.
● Provide an ecosystem of data products, rather than a singular data warehouse.
● Formulate and perform a default approach to enforce data governance and security.
● Drive teams to consistently prioritize business outcomes by removing the need to focus on the underlying technology.

Step 2: Setting up a Task Force

Step 3: Driving Data Management Strategies Within the Organization

The CDEC will be responsible for building a comprehensive data strategy and will help the organization adopt a data-driven approach. It will define and develop a plan for cloud adoption framework with key design area considerations like enterprise enrolment, networking, identity and access management, policies, business continuity, and disaster recovery. As a governing body it will:

● Manage the platform in terms of provisioning and observability,
● Secure the data platform with authentication and authorization, data privacy, and data access management.
● Organize people and teams focusing on effective operations, roles, and functions

With 4IR ushering in a new wave of change, organizations across the world are having to rapidly reassess their data infrastructure to meet increased volumes of data. Enterprise-level cloud modernization plans can add pressure on the leadership to increase IT spends. A Cloud Data Engineering Council becomes a core business need because it not only helps in streamlining IT costs but it can also drive data management, enforce security policies and meet compliance needs.

 

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