Modern Governance for Data & Analytics — Tableau
DataFactZ worked with leading brands to implement effective Tableau Data Governance — the key to solving most significant data challenges faster than they thought possible:
> Ongoing data quality issues
> Challenges with cataloging and mapping data to source correctly
> Ownership issues with certifying and publishing workbooks
> Redundant data and information silos
> The right data for the right users
> Accountability & traceability for data owners
> Issues following metadata management best practices
The slow rate of adoption for self-service analytics is often a lack-of-data-governance problem.
DataFactZ helped enterprises accelerate adoption in 3 simple steps by implementing strong data governance principles:
> Build trust with data governance to help standardize data ingestion
> Eliminate data silos with a federated environment
> Empower users with self-service analytics at scale
Regardless of delivery model, DataFactZ can empower enterprises by:
- Defining and standardizing data across all source systems
- Data preparation using Tableau data prep
- Data management using Tableau Data Management
- Data validation and promotion framework
- Content Management to provide certified datasets
- Built-in and custom monitoring to access platform performance and usability
