Leading insurance firms are leveraging QlikView to help drive more profitable and less risky decisions, centered on improving customer loyalty and trust.
Today, insurers serve a customer base that demands simplicity and transparency in products and relationships. At all levels and in all functions, people make day-to-day decisions that impact the firm’s ability to attract and retain the most profitable customers. Typically, these “routine” business decisions are not supported to the same degree as high-priority corporate initiatives – such as whether to acquire a company or move into a new market.
However, questions like…
- Who should I call on today?
- What are the best products to promote?
- Where are my areas of risk?
- How well am I controlling losses?
…are actually the most important ones – many people ask them many times a day in many different ways – and the results add up to have a tremendous impact on a firm’s overall bottom line. Putting the right information at the fingertips of the people calling on customers, making policy decisions, and helping to control losses is the key to driving a ‘culture of information’ in insurance.
To pull ahead of the competition, insurers are employing QlikView to help them harness the power of their information and put it in the hands of business users across their organizations. By offering a simple and powerful self-service data access and analysis model, our customers have seen how improved decisions can have a significant impact on revenue, risk, and overall profitability.
Common challenges in Insurance Industry
| Sales |
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| Marketing |
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| Underwriting |
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| Claims |
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| Finance |
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| Opps & IT |
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How does QlikView provide answers?
QlikView Associative Search
- A new paradigm for interactive data analysis that works the way your mind works
- Puts analytical power into the hands of ordinary business users
- Enabled by QlikTech’s patented in-memory associative database technology
- Driven by huge advances in computing power
Common types of QlikView applications in Insurance
| Operational BI | Customer Analysis & Targeting |
| Sales & Profitability Management | |
| Risk & Exposure Analysis | |
| Claims Analysis | |
| Loss Ratio Analysis | |
| Compliance and Fraud Detection | |
| Agent & Carrier Portals | |
| Operations & IT Controlling |
