CourseInsurance, Risk & Actuarial Data Applications open

Benchmarking in Claims Management Course

Online 300-hour course in benchmarking in claims management. 6 modules with ISO 10002 (complaints and claims handling), ISO 9004 (quality: sustained success) and advanced Excel. Assigned tutor and enrolment open.

Duration300 h
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute certificate
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Learning outcomes

What you will be able to do

01

Explain the types of internal, competitive and functional benchmarking and their usefulness in claims.

02

Design a comparison exercise by defining scope, peers and data sources.

03

Define indicators for average cost, settlement time, reopenings, fraud and satisfaction.

04

Normalise data so that comparisons between portfolios and entities are homogeneous.

05

Interpret performance gaps by distinguishing structural and operational causes.

06

Translate results into an improvement plan with objectives and owners.

07

Carry out a complete benchmarking study of a claims area.

Profile

Who it's for

  • Claims analyst who wants to specialise in Benchmarking in claims management.
  • Claims operations manager who wants to specialise in Benchmarking in claims management.
  • Process improvement consultant in insurance who wants to specialise in Benchmarking in claims management.
  • Business intelligence analyst in insurance who wants to specialise in Benchmarking in claims management.
  • Quality and customer experience manager who wants to specialise in Benchmarking in claims management.
  • Loss cost controller who wants to specialise in Benchmarking in claims management.
  • Graduates in engineering or science who want to enter general insurance.
Standards & tools

What you'll work with

  • ISO 10002 (complaints and claims handling)
  • ISO 9004 (quality: sustained success)
  • Law 50/1980 on Insurance Contracts
  • Order ECO/734/2004 (customer service departments)
  • Directive 2009/138/CE (Solvency II)
  • ISO 31000
  • EFQM Model
Syllabus

6 modules · 300 h

  1. 1.1What performance benchmarking is and what it is not
  2. 1.2Internal, sector and cross-sector comparison
  3. 1.3Objectives: cost, time, quality and satisfaction
  4. 1.4The risk of comparing the incomparable
  5. 1.5Precise definition of each indicator
  6. 1.6Available sector data sources
  7. 1.7Confidentiality and competition law
  8. 1.8Vocabulary and acronyms in the field
  9. 1.9Common interpretation errors
  10. 1.10Exercise: defining an indicator unambiguously
  1. 2.1Selecting the scope and processes
  2. 2.2Choosing the participants or references
  3. 2.3Standardising definitions
  4. 2.4Segmentation by line of business and claim type
  5. 2.5Adjustment for portfolio mix
  6. 2.6Analysis period and seasonality
  7. 2.7Data collection and validation
  8. 2.8Handling outliers
  9. 2.9Documenting the methodology
  10. 2.10Practice: designing a benchmarking exercise
  1. 3.1Average cost and its breakdown
  2. 3.2Processing and payment time
  3. 3.3Reopening and complaint rates
  4. 3.4Percentage of automated claims
  5. 3.5Productivity per claims handler
  6. 3.6Technical quality indicators
  7. 3.7Satisfaction and recommendation
  8. 3.8Fraud and recovery indicators
  9. 3.9Relationship between indicators and compensation schemes
  10. 3.10Practice: a comparable indicator dashboard
  1. 4.1Identifying real gaps
  2. 4.2Structural versus operational causes
  3. 4.3Analysis of the claims backlog
  4. 4.4Comparing practices, not just figures
  5. 4.5Visits and interviews with references
  6. 4.6Verifying comparability
  7. 4.7Improvement hypotheses and their testing
  8. 4.8Quantifying the potential
  9. 4.9Presenting results to management
  10. 4.10Practice: gap and cause report
  1. 5.1Prioritising initiatives by impact
  2. 5.2Adapting external practices to one's own context
  3. 5.3Implementation plan and owners
  4. 5.4Controlled pilots before rolling out
  5. 5.5Monitoring indicator trends
  6. 5.6Periodic repetition of the exercise
  7. 5.7The risk of optimising an isolated indicator
  8. 5.8Internal communication of results
  9. 5.9Culture of comparison and learning
  10. 5.10Practice: improvement plan derived from the analysis
  1. 6.1Choosing the scope and processes
  2. 6.2Rigorous definition of indicators
  3. 6.3Methodological design of the exercise
  4. 6.4Data collection and validation
  5. 6.5Gap and cause analysis
  6. 6.6Prioritised initiative portfolio
  7. 6.7Implementation and monitoring plan
  8. 6.8Periodic repetition plan
  9. 6.9Methodology report
  10. 6.10Project defence
Methodology, software & labs

How you'll learn

100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetable: students progress at their own pace within the intake, which makes it possible to combine the course with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is advanced Excel, Power BI, Tableau, Python (pandas), SQL, in free, academic or evaluation versions. Practical work covers real benchmarking exercise procedures using sector claims statistics, building claims-area indicator dashboards, and workshops on prioritising improvement plans. Assessment is continuous, module by module, plus the final integrative project.

Accreditable laboratories(EN ISO/IEC 17025) with rotor test rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-based Master's Thesis:safety case, test plan, compliance dossier and operational limits.
Industry mentoring:lecturers with experience in training, , eVTOL/UAM and flight test.
Flexible format(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:a safety-by-design approach, with cyber-OT, DIH and compliance as pillars.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Choosing the scope and processes

Explain the types of internal, competitive and functional benchmarking and their usefulness in claims.

Rigorous definition of indicators

Design a comparison exercise by defining scope, peers and data sources.

Methodological design of the exercise

Define indicators for average cost, settlement time, reopenings, fraud and satisfaction.

Data collection and validation

Normalise data so that comparisons between portfolios and entities are homogeneous.

Gap and cause analysis

Interpret performance gaps by distinguishing structural and operational causes.

Career opportunities

Where this takes you

Claims analystClaims operations managerProcess improvement consultant in insuranceBusiness intelligence analyst in insuranceQuality and customer experience managerLoss cost controller
Admissions & scholarships

Requirements

  • No prior qualification required.
  • Internet connection and a computer capable of running the programme's software.
  • Sufficient Spanish to follow technical regulatory reading.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

FAQ

Frequently asked questions

The programme is 300 hours in total, spread over 3 to 5 months. That works out to an average of 10 to 15 hours per week, compatible with a full-time job.

The course uses advanced Excel, Power BI, Tableau, Python (pandas) and SQL. Free, academic or evaluation versions are used, and the tutor indicates the open-source alternative where one exists.

An in-house SEIUM diploma upon passing the continuous assessment and the integrative project. This is in-house training, not an official qualification from the Ministry.

Yes. Modules passed in a course or postgraduate diploma in the same area can be recognised towards the higher-level programme. Please check the recognition policy when you enrol.

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