Introducing the Data Maturity Assessment
Are you held back by legacy systems and manual, disparate processes?
Our experts in data analytics have developed a tool to help you discover where your organisation sits on the data maturity curve. We'll then highlight what's next on your unique digital journey and be in touch with more detailed insights based on your results.
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Do you use existing Sequel products?
Do you have multiple sources of data that need to be analysed?
Do you feed source system data into downstream data marts, data lake or a data warehouse?
Where is your downstream data mart, data lake or a data warehouse hosted?
What is the refresh frequency of the downstream data solution?
Can you view portfolio level information across your systems?
Where are your operational and regulatory reports produced?
What financial planning tools do you use?
Which actuarial reserving tool do you use?
How many policies do you write per year?
How many historic years of account do you have in your source system and/or downstream data solution?
Do you have any predictive analytics or AI models?
How can Data Analytics work for you?
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Centralised enterprise portfolio management
Delivering a Profit & Loss against plan for every policy, underwriting, broker and business unit
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Cost savings and consistency
Through the automation of business processes
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Automation of detailed inwards & outwards data
Relevant to nearly all business roles and processes across the organisation
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Single source of truth
With a repeatable business model
Solution components
Earnings Engine
High-speed engine processing large volumes of standard or complex profiles. User processing control supporting live and what-if analysis across all lines of business.
GL Configuration Engine
Journals are created and made available for upload to your General Ledger. Finance are provided with an automated, configurable and auditable function regarding feeds required for the GL.
Regulatory Reporting
Regulatory reports generated automatically and available for inspection at any point, verified, validated and built using the same data used across the company.
Master Data Management
Controlling and loading of supplemental data required for management information, such as additional exchange rates and mappings to report categories not held in source systems.