What is Prospecta?
Prospecta provides a leading data platform designed to unlock business value by enabling organizations to leverage data for informed decision-making and business transformation. Headquartered in Sydney and recognized as an SAP-endorsed partner, Prospecta focuses on setting high standards for data quality and integrity through its intelligent, data-driven solutions. The platform, known as MDO (Master Data Online), incorporates various modules to manage master data effectively across different domains and systems.
The MDO platform includes components for data cataloging, quality management, workflow automation (Flows), API management, data classification, and an AI assistant named KAI. KAI is designed to provide trusted responses, faster insights, and support smarter decisions within the MDO environment. Prospecta aims to streamline data processes, ensure high-quality, standardized data, and improve operational efficiency, helping businesses gain better control over their data assets and leverage technology for a competitive advantage.
Features
- Data Catalog: Standardizing and enriching data for intuitive business decisions.
- Data Quality: Ensure accurate, complete, consistent data with intelligent scoring.
- KAI (AI Assistant): Provides trusted responses, faster insights, and smarter decisions within MDO.
- Flows: Intelligent, automated workflows for governance.
- Business Rules: Configurable business rules framework.
- API Management: Secure and seamless API management.
- Data Intelligence Workbench: Automated, intelligent data remediation.
- Classification: Structure data with automated tools.
- XFuse: MDO add-on for Microsoft Excel to manage large datasets.
- Master Data Management (MDM): Comprehensive platform for managing enterprise master data across domains (Product, Customer, Asset).
Use Cases
- Implementing enterprise-wide Master Data Management (MDM).
- Improving data quality and consistency across systems.
- Establishing robust data governance frameworks.
- Automating data management workflows.
- Integrating master data with SAP systems.
- Enhancing asset management through better data quality.
- Streamlining data processes for operational efficiency.
- Gaining actionable insights from enterprise data using AI.
- Managing large datasets efficiently using Excel integration.
- Ensuring data compliance and standardization.
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