Capturing and delivering big data across the enterprise
Data as a Service
Infor ® OS Data Fabric centralises common data requirements, development patterns, and tooling into a unified suite of tools to maximise data ROI that scales with continued data growth and capture.
Rapid insights
Accelerated time-to-value analytics and development pipelines
Maximum data growth
Reduced data complexity and sourcing introduces high levels of data maturity and consensus
Continuous innovation
Rapid development tools and experiences—compounded with data cataloguing—increases productivity and reduces scope creep
Unified solutions
Centralised data across Infor OS, Infor Apps, your API ecosystem, and third-party application data
Personalised experiences
Quick processing and extraction of insights and patterns using Compass SQL to interrogate and ask questions of data
Moving our data to the Infor Data Lake helped reduce data acquisition and storage complexity, making it easier to generate ROI in our content investment and IP development.
CO-CEO, MILLER INDUSTRIES
ROI use cases
CROSS-DOMAIN ANALYTICS
PREDICTIVE (ML) ANALYSIS
RISK MANAGEMENT AND GOVERNANCE
BIG DATA FORECASTING AND PLANNING
INDUSTRY-FOCUSED DATA DICTIONARIES
INDUSTRY BENCHMARKING
Capabilities that meet enterprise needs
Big data Q&A
Enterprises require a converged data storage platform for storing enterprise data as-is and without the need for up-front, complex, and costly data transformation
Data unification and clarity
Enterprises need elegant yet powerful tools to manage petabyte-level data repositories as a means of understanding the shape of data stored
Operational monitoring
Clear visibility into data generation, traffic patterns, and data consumer behaviours are key for application administrators and content curators
Data dictionary
Delayed and unsuccessful big data projects often share a common theme: a lack of a semantic governance leads to poor access or understanding of data
Secured confidence
Data is secured at-rest and in-transit—leveraging Infor OS security principles and capabilities to locked down data tightly
Knowledge virtualisation
Delivering domain-specific content to applications and functional teams requires a deep understanding of data models, their relationships, and how to create value across disparate, atomic datasets
Delivering productivity through innovative features
By removing everyday obstacles that can frustrate and distract, data fabric through Infor OS provides a foundation for continuous improvement—built with advanced technology that’s accessible to all employees and is ready to evolve as industries evolve.
Data Lake Compass query platform
- Rapid data exploration, analysis, and content export
- RESTful data interrogation services
- Conventional database driver interfaces
- Self-service data retrieval
Data Lake Atlas management interface
- Investigate the data your applications, devices, and users are generating
- See meaningful metadata to satisfy compliance requirements, data management and purging, and data sharing
- View, model, maintain, and manage your lake
- Metadata-driven virtualisation and zoning
- Manage download access and eviction
Real-time access and views
- Monitor and investigate data lake API traffic patterns
- Review historical growth trends by content and data publishers
- Identify sustained and peak ingestion patterns
- Monitor and notify around Compass API performance
Infor Data Catalogue
- Establish semantic governance with data dictionary services, registration wizards, metadata index, and documentation repository
- Register, build, and refine metadata models used across the Infor OS ecosystem
- Cross-reference relationships defined within and across your catalogue
- Deliver depth of understanding of key business data traversing Infor OS
Integrated data security
- Leverage IFS access to ensure rights by team entitlements
- Column-level and rules-based security filtering
- Impersonation testing
- Risk monitoring and mitigation through auditing and monitoring
Metagraph
- Direct and automate the building out of domain content and data dimensions for consumers to interrogate immediately
- Auto-compose queries and models with pre-delivered metadata relationships
- Accelerate content development with relate and layer views, materialised views, and existing metagraphs
Paths to cloud value
Core-to-the-Cloud
Improve performance, boost ease of use, and give teams access to the latest capabilities
Edge-to-the-Cloud
Maximise collaboration and streamline user experience across strategic workflows
AI-to-the-Cloud
Enable holistic business insights and planning, aggregate enterprise-wide data, and break down silos
Determine which path to the cloud will drive the most value for you
Let's Connect
Contact us and we'll have a Business Development Representative contact you within 24 business hours