Customer Company Size
Large Corporate
Region
- Europe
Country
- Sweden
- Germany
Product
- QlikView
Tech Stack
- IBM DB2
Implementation Scale
- Departmental Deployment
Impact Metrics
- Revenue Growth
- Productivity Improvements
Technology Category
- Analytics & Modeling - Big Data Analytics
Applicable Industries
- Finance & Insurance
Applicable Functions
- Sales & Marketing
- Business Operation
Use Cases
- Predictive Replenishment
Services
- Data Science Services
About The Customer
SEB Group is a North European financial group that spans four divisions of merchant banking, retail banking, wealth management, and life insurance. The company serves 400,000 corporate customers and institutions, and 5 million private customers. SEB Group is headquartered in Stockholm, Sweden. With approximately 300 billion in assets, SEB achieved around $6 billion in revenue with 20,000 employees. The company operates in the Securities & Investments and Insurance industry.
The Challenge
SEB Group, a North European financial group, was facing challenges in gaining a better understanding of its insurance customers and portfolio. The company wanted to improve cross-selling of products and increase customer share of wallet. Additionally, SEB was looking to improve IT project management within its merchant banking division. The company spans four divisions of merchant banking, retail banking, wealth management, and life insurance for 400,000 corporate customers and institutions, and 5 million private customers. With ~300 billion in assets, SEB achieved ~$6 billion in revenue with 20,000 employees.
The Solution
SEB Group deployed QlikView to approximately 150 users within the Life and Merchant Banking Divisions across 2 functions in Sweden, Germany, and Baltic countries. In the Life Insurance and Pension Funds Division, QlikView was used for Sales Analysis and Marketing Analysis. The Sales Analysis involved analyzing sales activity by salesperson, sales team, and region across customers, products, and profitability over time. The Marketing Analysis involved assessing customer data to analyze customer portfolio across lines of business to identify cross-selling opportunities and create target lists for cross-selling campaigns. In Merchant Banking, QlikView was used for IT Analysis to monitor IT project status by department from Module 1 data. The implementation was rapid, taking less than 3 weeks for sales and marketing applications within the Life Insurance division. QlikView Server was leveraged to aggregate large data volumes from its IBM DB2 data warehouse for the pension funds and insurance group.
Operational Impact
Quantitative Benefit
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