Data Orchestration Platform

The Data Orchestration Platform offered by Aventra Group is positioned as a comprehensive solution aimed at empowering organizations in their data-driven decision-making processes and gaining valuable predictive analytics insights. This versatile platform claims to cater to a wide range of business sizes, including small, medium, and large organizations. It is highlighted as a valuable tool for professionals in various industries, such as business analysts, data scientists, IT managers, financial services, healthcare, and retail.

Key Features

Data Engineering + Data Warehouse: According to the vendor, this feature allows users to run Extract, Transform, Load (ETL) processes with Azure Etta factory, assign permissions and classifications, and make data available in the analytics database.

Data Engineering + Data Science: The vendor claims that with this feature, users can perform analysis using Azure Synapse, Azure Databricks, and Azure Analysis Service, enabling them to gain valuable insights and make data-driven decisions.

Consulting: Aventra offers a comprehensive 360° review of the business's current state and potential transformation. Their experts claim to re-engineer processes while considering successful business logics and help revamp business processes using the best-fit technology.

Data Integration & Data Engines: The platform allows users to integrate scattered data through Data Warehouses and Data Lakes. According to the vendor, it empowers engines with Artificial Intelligence & Machine Learning capabilities and utilizes technologies like IoT, Edge Computing, Cloud Computing, and Cloud Infrastructure.

Master Data Management: Aventra's MDM solution is positioned as an enterprise-grade industry-native bespoke solution that helps users master data. It claims to offer cloud-native MDM solutions for unique competitive advantages and aims to accelerate business growth sustainably.

Predictive Analytics & Data Visualization: According to the vendor, users can enable decision-making processes based on dashboards and prescriptive analytics with this feature. It claims to provide actionable insights using advanced statistical and model-based analytics, facilitating the discovery, analysis, planning, and prediction of outcomes.

Private Data Orchestration: This feature is claimed to be suitable for companies with complex data settings and unrealized outcomes. The vendor states that it offers agnostic solutions with technology stacks from Microsoft, AWS, or Google, allowing users to balance legacy and non-legacy systems for efficient data integration.

Data Orchestration as a Service: This feature is designed for organizations with less complex data settings. According to the vendor, it provides a ready-to-use platform that reduces implementation time, risk, and investment. It offers self-service platforms for data teams and implementation services for IT teams.