Data Strategy Consulting
Navigating Complexity for Growth and Success
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, is:
- Have multiple touchpoints across the span of the business processes' workflows
- Trigger actions for downstream elements of the business processes with corrective actions based on insights
Accion Labs can help you become an enterprise with a true “Data-as-a-Service” and “Analytics-as-a-Service” implementation. We enable enterprises to migrate to or 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!
Our Expertise
Enterprise Data Landscape Maturity Assessment
Detailed analysis across eight 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-premise 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 BI reports, Visualizations and Dashboards and Advanced Analytics.