The operational backbone that transforms raw data into a reliable resource
The success of data management initiatives is challenged by limited resources and increasing complexity, with the risk of misalignment with business objectives.
According to the Big Data & Business Analytics Observatory of the Politecnico di Milano, 46% of large organizations have defined roles and responsibilities to manage their data processes, but there are still many cases without unified Data Models.
ISA Digital Consulting helps its clients embrace a data-driven culture and achieve a unified operating model to manage data effectively.
How we can help you:
Master Data Management
- Identification and consolidation
Collect and unify master data (e.g., customers, products) from multiple sources.
- Cleaning and normalization
Remove duplicates, fix errors, and standardize formats.
- Deployment and Updating
Synchronize updated master data with various business systems.
Deliverables with the following content:
- List of Data Domains (customers, products, suppliers, etc.) with their definitions.
- Process of consolidation of data from multiple sources (ETL, quality checks, matching and merging).
- Governance rules for the management and updating of Master Data (roles, responsibilities, approval workflows).
- High-Level Diagram illustrating the MDM architecture (data flow, systems involved, tools used).
- Maintenance Plan and continuous improvement (frequency of updates, quality controls, periodic audits).
Data lineage specifies data origins, shows the movement of data over time and provides context to what happens to data as it goes through diverse systems and processes. Data and analytics leaders must use data lineage to augment their metadata management strategy.
Relevant Technologies
Talend, Collibra
Certifications to support
CDMP