Question: Can you recommend an ERP system that integrates data from multiple sources and provides a unified business view?

If you need an ERP system that consolidates data from different sources and offers a single view of your business, Dynamics 365 is a top contender. This suite of CRM and ERP apps uses AI to connect people, processes and data across your organization. With data consolidation from hundreds of sources, collaboration tools and low-code customization options, it's geared to meet specific business needs like sales, customer insights and supply chain management. Microsoft offers a 30-day free trial and pricing starting at $50.00 to $95.00 user/month.

Another top contender is OnePlan, an AI-based platform for strategic portfolio, financial, resource and work management. It integrates with tools like Microsoft Project, Asana and Jira to give a single view of all work across the enterprise. OnePlan offers strategic portfolio management, adaptive project portfolio management and real-time performance metrics. It offers flexible pricing options including a free plan, so it can be used for a variety of enterprise needs.

For a powerful data management solution that consolidates and unifies data across multi-cloud environments, check out Informatica. This AI-based platform connects, manages and unifies data, using its CLAIRE AI engine to automate data integration tasks. It serves a wide range of industries and offers solutions like data catalog, data integration and platform trust for secure data handling. Informatica offers flexible consumption-based pricing and low-code/no-code features, making it a great option for modernizing data management practices.

Last, Peaka is a data integration platform that makes it easier to connect different data sources, including relational and NoSQL databases, SaaS applications and APIs. It offers features like federated query, streaming ingestion and immediate replication with Change Data Capture. Peaka integrates with common services and offers a pay-as-you-go model, making it a cost-effective option for data democratization and better decision-making.