Overview
Master data facilitates better analytics, enhances regulatory compliance and improves enterprise systems like AIM, ERP and e-commerce platforms. Our Master Data Management (MDM) practice specializes in advanced solutions that improve how organizations harness their data to compete and grow.
Analytics and Information Management (AIM) Services
From strategy to delivery, our AIM practice offers:
- Strategic, advisory and management consulting across Analytics and Information Management, business intelligence and analytics
- Strategic, advisory and implementation services for next‑generation technologies such as big data analytics, mobile and cloud BI
- Enterprise performance management solutions spanning business strategy and enterprise metrics definitions
- End-to-end information management services including data management, data integration, data quality and data governance
Data to Foresight (D2F)
Data to Foresight (D2F) is an end-to-end information management solution from Canus Tech that integrates AIM and advanced analytics service delivery in a hosted environment. Benefits include:
- Delivers industry standards and custom built analytics relevant to specific needs of business users, thereby reducing discrepancy in enterprise-wide analysis
- Provides consistent and up-to-date information and assists in comparison of past trends with current data to make timely future predictions
- Ensures accuracy of foresight by maintaining consistent information throughout the evolution of data
Semantic Capabilities
For the first time, organizations can match operational agility and time-to-value with the velocity of today’s business environment. We bring unique capabilities to the enterprise that drive a new level of dynamic speed and confidence, such as:
- Extensible Ontologies: Allowing multi-tiered users to easily add or modify data descriptions as they learn more about the data and discover new relationships
- Linked Data: Exposed, shared and connected data that enables organizations to rapidly use their independent databases without the need for subject expertise and without the need to agree on standardized decision‑support platforms and data formats
- Embedded expert knowledge: Subject matter experts (SMEs) can infuse their expertise right into the data, allowing users to perform analysis and produce reports without the need for specialized domain expertise
- Provenance: Provides information to the user about the origin of the data and how it was processed, increasing both organizational trust in its data and the results it presents
