Case Studies

Scyllogis Consulting have been helping customers within the Insurance sector continue to achieve significantly higher levels of business performance from their data management programmes and information systems since 2001. Read how we have worked with some of these customers to achieve significant business results across the world, in our case studies.

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Consulting Expertise
Insurance organisations today are no more effective at delivering on large-scale data management initiatives than they were 10 years ago. In a recent survey, 70% of the companies said their data management initiatives did not deliver the expected results. That success rate was unchanged from similar surveys conducted in the 1990's. And the environment for data management is only getting more complex.....

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Our People
At Scyllogis Consulting all of our consultants have significant experience gained from within the Insurance market. Our people and our culture are our greatest assets. We only select people with relevant experience, intelligence, integrity, passion and the ambition to make a mark and deliver to our Customers the Scyllogis brand values of practical, results based consultancy. Our Consultants are pragmatic and open minded. That is why we deliver solutions that others dont.....  Read More

Scyllogis are committed to keeping ourselves at the forefront of technology developments to ensure consistent delivery of business objectives within the Insurance and Reinsurance sectors.

To do this we regularly contribute to the discussion and debate of important industry issues, and publish white papers and articles in the trade press.  Additionally through our website Blog we now aim to further these discussions by continuing to add our perspective and opinions to those of the global Insurance community....



Data transparency and Solvency II
Tuesday, 14 June 2011

With Solvency II looming over the industry, the concept of data transparency is being discussed with ever increasing frequency in insurance circles.  But what do we mean by this?  The definition from the PC Magazine website (www.pcmag.com/encyclopedia) is as follows:

Data transparency:

1) The ability to easily access and work with data no matter where they are located or what application created them.

2) The assurance that data being reported are accurate and are coming from the official source.

Solvency II places greater demands on an organisation’s systems and processes than ever before, and the ability to easily access data, and to ensure its traceability, forms the very foundations for compliance.

Last Updated ( Wednesday, 20 July 2011 )
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Software firm issues Solvency II warning
Thursday, 09 June 2011
Data management software company Cluster Seven has urged insurers to ensure they are accounting for spreadsheet risk in their implementation plans for Solvency II.  The firm has issued a guide for insurers highlighting how to manage spreadsheet risk and what to look out for when implementing the European directive.  According to a research by Deloitte, 70% of companies rely on spreadsheets to support their business-critical financial reporting.  The focus of software providers like Cluster Seven has been to attempt to control versioning, security, auditing, disaster recovery and highlight potential misuse and erroneous updates of spreadsheets as if they were central applications under the normal control of IT.  This however only solves part of the problem.

The Solvency II regime requires data to be accurate, complete and transparent.  The fact data is being extracted from different data sources and manipulated within spreadsheets prior to being passed to the internal capital model raises cause for concern.  Further, how is one able to demonstrate, for example, the data used by the claims management departments is consistent with that used within the internal model when claims data is ‘processed’ through spreadsheets prior to feeding the internal model?  Unless the manipulation is fully understood across the business, validated, approved and audited then Solvency II compliance will not be achieved.
 
Last Updated ( Tuesday, 14 June 2011 )
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How effective claims management helps in Solvency 2 - Part 3 of 3
Wednesday, 25 May 2011
I recently sat on a panel discussion centred around a short set of topics that form a locus of interest of the requirements of Solvency II, particularly of Pillar2, and mainly on Operational Risk.  These topics were: Governance; Reserves; Data currency; Security; Process control and auditability and management of external services.  In previous posts of this blog, I gave my views on several of the topics and I conclude my report here:
 
5.     How can the claims director ensure that all incidents of data handling and exposure of details during the claims process are controlled and auditable to prevent any breach of privacy or data protection laws, limiting exposure to mis-processing resulting in litigation and reputational risk?

I think this is essentially the same answer as I have given before and that is the claims handling process should be automated. What systems are really good at is enforcing rules and providing workflow; people can’t circumvent like they can in manual processes or forget to do things or check things. Absolute automation is naïve but there are many pragmatic steps that can be put in place. The other thing systems are really good at is logging who did what and when. This provides an audit trail that is very difficult to achieve in a manual system.

Last Updated ( Tuesday, 31 May 2011 )
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How effective claims management helps in Solvency 2 - Part 2 of 3
Tuesday, 24 May 2011

I recently sat on a panel discussion centred around a short set of topics that form a locus of interest of the requirements of Solvency II, particularly of Pillar2, and mainly on Operational Risk.  These topics were: Governance; Reserves; Data currency; Security; Process control and auditability and management of external services.  In Part 1 of this blog, I gave my views on a couple of the topics and I continue to do so here:

3.    How can an insurer ensure full quality, security and currency of data and keep it adjusted in line with real events throughout the claims?

In my view data currency and quality is all about automated data integration. Reliance on manual keying of does not lend itself to data either being up to date or accurate. If data flows to an organisation from the originator electronically and can be processed by the receiver electronically then there will inevitably be less processing errors and the receiver has the opportunity to collect a greater richness of data.

In a lot of cases data is not up to date or even complete due to pressures on human resources. Solvency 2 will demand that data is complete, accurate and appropriate. Clearly claims data will be a vital dimension in the internal capital model and as such it will be subject to the regulators attention.

Data security is more easily managed in an application than with manual processes. Documents by their nature are uncontrolled. You do not know who has them, they can be copied, lost, stolen etc.
Just having data or documents in a central repository reduces the risk of working with out of date data or documents.
 
Part 3 to follow on 31 May 2011...

 

Last Updated ( Thursday, 26 May 2011 )
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How effective claims management helps in Solvency 2 - Part 1
Tuesday, 24 May 2011
I recently sat on a panel discussion centred around a short set of topics that form a locus of interest of the requirements of Solvency II, particularly of Pillar2, and mainly on Operational Risk.  These topics were: Governance; Reserves; Data currency; Security; Process control and auditability and management of external services.

I thought I would blog my answers as these seemed to be well received by other panel members and the audience.

1.    Within the claims process how do you ensure strict governance is observed
As a person who sees technology as a solution to business problems, I believe the best way of ensuring consistency and repeatability and ensuring that the company’s principles are carried out objectively rather than subjectively is by use of technology. A rule based application built around pre-defined processes that the company has already decided is best practice, supported by workflow that can automatically segment, route and control the process of the claim dependent on criteria that is driven by the complexity or severity of the claim, will bring this discipline.

There is also a deployment factor too. If that application can be deployed not just within the organisation but to external parties such as TPAs or expert advisers too, then the company has the added advantage of knowing that its service providers are also processing claims in the same consistent way.
Last Updated ( Tuesday, 24 May 2011 )
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