Name: Data Orchestration Platform
Author: Aventra Group

Help Desk

Web and Video Conferencing

Customer Support

Business Intelligence (BI)

Collaboration

Enterprise Resource Planning (ERP)

Interactive Voice Response (IVR)

Enterprise

Accounting

CTRM

Revenue Management

Finance and Accounting

Applicant Tracking

Compensation Management

Corporate Learning Management

HR Management

International Payroll

Payroll

Resume Parsing

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

API Management

Cloud Storage

Data Governance

Data Pipeline

Desktop Outsourcing

Electronic Data Interchange (EDI)

Fraud Detection

IT Service Management (ITSM)

Industrial IoT

Integration Platform as a Service (iPaaS)

Metadata Management

Network Access Control (NAC)

Network Performance Monitoring

Relational Database Management Systems

Remote Monitoring and Management

Remote Support

Security Validation

Software Defined Storage (SDS)

Solid State Drives

Static Application Security Testing (SAST)

Threat Hunting

VoIP Monitoring

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

App Store Optimization (ASO)

Business Card Scanning

Consumer Ratings & Reviews

Content Management

Digital Analytics

Digital Experience Platforms (DXP)

Email Marketing

Event Registration

Marketing Automation

Online Reputation Management

Real-Time Interaction Management

Social Media Management

Social Media Publishing

Survey & Forms Building

Web Analytics

Marketing

Business Caller ID

Professional Services Automation

Project Management

Transcription

Professional Services

Customer Relationship Management (CRM)

Lead Generation

Point of Sale

eCommerce

Sales

Microsegmentation

Security

Auto Repair

Building Information Modeling (BIM)

Car Rental

Church Management

Insurance Agency Management

Vertical-Specific

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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.

Personal

Team

Department

Organization

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Data Orchestration Platform

Overview

What is Data Orchestration Platform?