Case Study
When your team needs new skills,
who accelerates the learning?
A leading financial services group sought to enhance their data prowess through comprehensive WhereScape training, transforming capability across their organisation.
The Client
Sanlam
A distinguished financial services group known for its diverse offerings, including insurance, investments, and wealth management. With a strong commitment to innovation and customer-centric solutions, Sanlam is a trailblazer in the financial sector.
"Investing in our team's capabilities is investing in our future. We needed partners who could deliver world-class training."
Financial Services
Training Programme
WhereScape 3D & RED
The Challenge
Critical skills gaps limiting data potential
Tool Proficiency
Limited expertise in WhereScape tools hindered efficient data warehouse development and automation.
Manual Processes
Time-consuming manual data pipeline work slowed delivery and increased risk of errors.
Discovery Gaps
Inability to effectively visualise and model data for optimal architecture decisions.
Governance Needs
Lack of structured approaches to data governance and automated workflow management.
The Journey
How we made it happen
WhereScape 3D Training
- Data discovery intricacies and best practices
- Visualising and modelling data for optimal insights
- Efficient data pipeline design techniques
WhereScape RED Training
- Advanced Data Warehousing automation skills
- Building automated data pipelines efficiently
- Enhanced data governance through workflows
Practical Application
- Hands-on exercises with real-world scenarios
- Accelerated data integration techniques
- Knowledge transfer ensuring lasting capability
The Transformation
From learning to mastery
Limited WhereScape proficiency, manual data processes, fragmented skills, and time-intensive discovery workflows
Connected skillset with WhereScape mastery, automated pipelines, data governance excellence, and accelerated insights
Ready for whatever comes next
By investing in training, Sanlam empowered their team to unlock the full potential of their data, from efficient data design to streamlined data warehousing. The engagement exemplified the power of skill-building in optimising data pipelines and yielding data automation.