Data Governance
- Leverage data as an operational enabler for business decisions.
- Oversee the execution of data policies and procedures and report to Executives.
- Ensure data ownership independence from individuals.
Data architecture
- Standardize definitions and classifications of products, customers and other variables, data replication using appropriate models.
- Establish Data Modeling process & manage Data Models
- Confirm Data Reference Architecture (including Big Data)
- Define, consolidate, and standardize the blueprint for data sourcing to a "single point of truth" across the BU functions.
- Integrate Data Architecture with Enterprise Architecture
Data quality
- Define standards to continually refine data attributes and manage how data is sourced, collected and stored.
- Develop standards and systems to manage the source, quality, consistency, usability, security, and availability of data.
- Develop Data Quality rules and reporting tools
- Profile, map & cleanse critical Data Assets
- Continuously monitor & improve data quality
- Consistent business information model.
Data Delivery
- Delivery data for reporting needs across the all BU functions.
- Partner with business to create new data and information for analysis.
- Partner with IT to take advantage of leading technologies
Data Analytics
- Assist in development and support predictive modeling & analytics
- Support implementation of BI/Advanced Analytics tools
- Leverage Data Visualization techniques to enhance user experience
Data Infrastructure
- Manage platform implementation (Cloud, network, OS, DBMS, etc.)
- Manage Information Lifecycle of the Corporate Data Assets
- Monitor & improve performance of all infrastructure components
Data Security- Defines the high- level structure of guidelines, regulations and practices in implementation of keeping organizational data compliant.
Innovation- Building data sources available supports organizations in identifying new business models and revenue stream
