J&JCONSULTING
Aerial view of the City of London skyline and the River Thames at golden hour
AXA logo
XL Insurance Reinsurance logo

Experience spanning the Catlin Group and XL Group era, subsequently becoming part of AXA XL.

Business analysis · Insurance · Data transformation

Transforming insurance data into enterprise intelligence

Business analysis, data transformation, business intelligence and regulatory groundwork across Finance, Underwriting, Actuarial, Claims, Reinsurance, Recoveries and Enterprise Risk Management.

SENIOR BUSINESS ANALYST · AXA XL / XL GROUP / CATLIN GROUP · OCTOBER 2010 – AUGUST 2014

US$15B+
Assets
2,400+
Employees
Global
Operations
Specialty
Insurance & Reinsurance
  1. 2010Catlin Group(Engagement begins)
  2. 2015XL Group(Acquisition of Catlin Group)
  3. 2018AXA(Acquisition of XL Group)
  4. PresentAXA XL
3
Transformation programmes
12–16
Team sizes across programmes
2010–2014
Engagement period

Business landscape

Enterprise insurance across the value chain

  • Finance

  • Underwriting

  • Actuarial

  • Reinsurance

  • Recoveries

  • Enterprise Risk Management

  • Claims

  • Regulatory & Compliance

Project 01

BI Solution Implementation & Support

October 2010 – June 2012

£1.4M per year

Programme value · team of 12

  • Finance
  • Underwriting
  • Actuarial
  • Reinsurance
  • Recoveries
  • Enterprise Risk Management
  • MS SQL Server 2008
  • SSIS
  • SSRS
  • Excel 2010
  • Power Pivot
  1. Source systems

  2. Data extraction

  3. Transformation

  4. Data warehouse

  5. SSRS / BI reporting

  6. Business users

Key achievements

  • Senior BA for the ongoing implementation and support of a BI solution on Microsoft SQL Server 2008.
  • Handled all vital stages within the project, from requirements gathering, data analysis and technical specifications documentation through to test case preparation, testing and release to production.
  • Data extraction and transformation from transactional Underwriting, Insurance and Finance systems.
  • Identified segregated data sets in the business; suggested a snapshot schedule for individual data sets to be brought into the warehouse, and job scheduling for the automatic running of scheduled jobs.
  • Exchange of data between third-party systems in multiple formats, such as CSV, flat files and JSON.
  • Excel 2010 and Power Pivot roll-out for usage by end users.

Project 02

Cognos / Netezza Implementation; Report Standardisation

May 2013 – March 2014

£1.6M

Programme value · team of 16

  • Cognos
  • Netezza
  • SQL Server
  1. Source systems

  2. Netezza

  3. Operational data store

  4. Cognos framework

  5. Standardised reports

  6. Business users

Key achievements

  • Analysis, design and development approach towards implementing a Framework Model in Cognos.
  • Netezza implementation, testing and analysis to support Cognos reporting requirements.
  • Standardisation of reports and data attributes in the data warehouse and for reports across the business.
  • Designed and implemented a combined operational data store for all source systems at Catlin.
  • Decommissioning of legacy and old transactional and data warehouse databases.
  • Training for end users on the Cognos tools and generating user-created reports.
A presenter briefing a large boardroom, with the London skyline through floor-to-ceiling windows

Project 03

Data Standardisation, Business Change & Compliance

June 2012 – August 2014

£1.8M

Programme value · team of 14

  • Finance
  • Actuarial
  • Claims
  • Underwriting
  • Reinsurance
  • Recoveries
  • Enterprise Risk Management
  • Cognos
  • SAP BusinessObjects
  • SQL Server
  • Netezza
  • Excel
  1. Insurance functions

  2. Data governance

  3. Data quality

  4. Standardised data

  5. Central data warehouse

  6. Enterprise reporting

Key achievements

  • Built and delivered a central data warehouse platform and mini Finance & Actuarial data marts.
  • Standardised data and measures across the business to establish a single source of truth for every data item.
  • Improved data quality in the data warehouse and source systems; established a process for data governance.
  • Designed and implemented a uniform approach for data transformation, data quality and data governance across all insurance business departments at Catlin, including Finance, Actuarial, Claims, Underwriting, Reinsurance, Recoveries and Enterprise Risk Management.
  • Implemented a solution to process USM and SCM Bordereaux data from Lloyd's and the London market into internal Underwriting and Finance systems, as well as the data warehouse.
  • Established business process around controls, checks and standards to follow within BAU for Bordereau processing within Claims, Compliance and Risk teams.
  • Laid the foundation and groundwork for meeting various compliance and regulatory requirements, which led to the initiation of wider projects to meet Solvency II, IFRS, PRA and Lloyd's regulatory requirements.
  • Improved existing reports and developed new ones to meet insurance directives requirements.
  • Fulfilled the role of primary bridge between business users and the technical team for the successful delivery of the project.

Data governance & regulatory foundations

Supporting evolving regulatory requirements

  • Solvency II
  • IFRS
  • PRA
  • Lloyd's

Laid the foundation and groundwork for meeting various compliance and regulatory requirements, which led to the initiation of wider projects to meet Solvency II, IFRS, PRA and Lloyd’s regulatory requirements.

Delivery lifecycle

Discover to improve

  1. 01

    Discover

  2. 02

    Analyse

  3. 03

    Design

  4. 04

    Validate

  5. 05

    Deliver

  6. 06

    Improve

Bridging business & technology

Where the role sat

Business

  • Finance
  • Underwriting
  • Actuarial
  • Claims
  • Reinsurance
  • Risk
  • Compliance

Senior Business Analyst

  • Requirements
  • Analysis
  • Data
  • Process
  • Testing
  • Governance
  • Change

Technology

  • Developers
  • Data engineers
  • BI teams
  • Database teams
  • Reporting teams
  • Technical delivery

Technology & data ecosystem

Platforms and tools

Data platform

  • SQL Server 2008
  • Netezza

ETL & integration

  • SSIS
  • CSV
  • Flat files
  • JSON

Business intelligence

  • SSRS
  • Cognos
  • SAP BusinessObjects

Analytics

  • Excel 2010
  • Power Pivot

Business analysis

  • Requirements Engineering
  • Data Analysis
  • Functional Specifications
  • Testing
  • UAT
  • Release Management
  • Stakeholder Management

Connecting business strategy, data and technology

Working across business and technology teams to translate complex insurance requirements into practical data, reporting and transformation solutions.

All case studies
  • Data foundations
  • Regulatory groundwork
  • Business partnership
  • Delivery focus