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Effective digital transformation for organizations today requires the modernization of their data strategy. The maturity of enterprises in data strategy and landscape has grown over the last few years. However, the complexity of data landscaping solutions and methodologies has also increased. Therefore, data modernization, including the modernization of enterprise data strategy, data cloudification, managed operations, and DataOps, has become an unavoidable progression for enterprises aiming to achieve growth and success.

A data-centric enterprise needs to make its business operations data-driven and action-oriented. Successful enterprises should provide both 'operational' as well as 'business' decision-makers with actionable insights. The right approach to advance the data engineering and analytics setup keeping key considerations in mind are:

  1. Have multiple touchpoints across the span of the business processes workflows
  2. Trigger actions for downstream elements of the business processes with corrective actions based on insights

e-Zest - An Accion Labs Company can help you to become an enterprise with a true “Data-as-a-Service” and “Analytics-as-a-Service” implementation. We enable enterprises to migrate to / create modern, cloud-based, fully managed, automated, self-serving, decoupled, secure, and compliant Data-Mesh-based architectures. To know more about our services, contact us today!

Tech Partners

Service Now
Amazon Web services

Characteristics of a Modern Data Architecture


Cloud-based and Managed


Distributed and Decoupled (Data Lakehouse/Data Mesh landscape)


Easily accessible with a Data-as-a-Service approach




DataOps-driven (Configuration-based instead of engineering)


Secure and Compliant (Governance, Access Management, Regulations)

Our Expertise


Enterprise Data Landscape Maturity Assessment

Detailed analysis across 8 core areas in the Enterprise data setup and its adherence to the ever-enhancing Industry standards resulting in a short-term and long-term roadmap to achieve the highest level of data maturity enabling Business, IT, and Operations to work cohesively on Data & Analytics.


Data Landscape Modernization

Cloud-Native, elastic, fully managed data landscape following “Data Lake + Data Mesh” principles democratizing data & analytics into domain-based data products, creating a solid foundation for ever-expanding data needs, and enabling Business, IT, and Operations teams to get the best from data.


Enterprise Data Migration

Migrating fragmented, scalability-constrained, siloed legacy and on-prem data solutions to cloud-based, managed, centralized data platforms providing enterprises with an agile, scalable, secure, and high-performance data platform to enterprises focusing on ensuring high-quality data management.


Analytics: BI, Reporting & Dashboards, AI & ML

Self-serving analytics from modern data & analytics platform, built with “data-as-a-service” and “analytics-as-a-service” capabilities along with a high level of data discoverability and searchability, access control, and governance to build and meaningful Insights, BI reports, Visualizations and Dashboards and Advanced Analytics (AI/ML/Generative AI).

e-Zest is a leading digital innovation partner for enterprises and technology companies that utilizes emerging technologies for creating engaging customers experiences. Being a customer-focused and technology-driven company, it always helps clients in crafting holistic business value for their software development efforts. It offers software development and consulting services for cloud computing, enterprise mobility, big data and analytics, user experience and digital commerce.