Reporting
Consistent monitoring through standard reports, ad-hoc queries and drill-down analysis.
Discovery
Sophisticated analyses of existing and new data to develop models, metrics, segments.
Sourcing
Standard data sources and data refresh processes.
Mastering
Authoritative data repositories with common definitions and data quality processes.
Data Quality
Continuous quality monitoring and remediation.
Integration
Data across subject areas combined into a coherent model.
Metadata
Business and technical documentation of data definitions and lineage.
Access & Delivery
Secure, controlled, consistent access methods available to the enterprise.
Data Modeling
Organizing data according to a standard, consistent model.
Data Governance
Implementing and managing common processes, policies, rules & responsibilities.
Active Intelligence
Business rules and real-time data to drive alerts, recommendations, and personalization.
Data Exchange
Controlled, automated data exchange with trusted partners and customers.
Source: marketMogul "Why 2017 Will Be the Year of Big Data"
Only 14% of Canadian enterprises have a Big Data strategy.
53% of Canadian enterprises are creating a Big Data strategy, or would like to.
Only 16% of Canadian organizations have the resources to handle Big Data projects.
