LEADING PRACTICES

At AEGIS, we leverage a maturity model framework to benchmark your organization against – relative to where you are today, and where you would like your Finance function to be in the future. We use a five stage maturity model: Lagging, Evolving, Maturing, Enhancing, and Leading. This model is applied to each TOM component. Our clients determine where they want to be along this continuum by component.

REPRESENTATIVE EXAMPLES

LAGGING

  • Link to corporate strategy not apparent
  • Minimal global coordination

STRATEGY

LEADING

  • Priorities driven by businesses
  • Advisor/business partner

LAGGING

  • No role definitions
  • No formal talent development
  • No performance management, coaching

PEOPLE

LEADING

  • Performance management, skills development, and coaching linked

LAGGING

  • Local unique structures
  • No centralized services
  • Roles & responsibilities locally defined

ORGANIZATION

LEADING

  • Full shared services/ outsourced transaction processes
  • Local/BU team full analytic partner

LAGGING

  • No policy documentation
  • No process ownership
  • One-off activity automation

PROCESS

LEADING

  • Single, global process taxonomy
  • E2E process activity digitization

LAGGING

  • No internal control framework
  • No finance wide governance committees nor standards

GOVERNANCE, RISK
& COMPLIANCE

LEADING

  • Globally deployed controls framework
  • Active preventative controls monitoring

LAGGING

  • No data dictionary
  • Local inconsistent data flows and documentation

DATA

LEADING

  • Data driven culture
  • Data warehouse/data lake segregates analytical data from core financials

LAGGING

  • Disparate, multiple financial systems & tools
  • Finance and IT operate independently

DIGITAL
TECHNOLOGY

LEADING

  • Global financial systems – unified tools and platforms
  • Digital interventions across all Finance processes

LAGGING

  • No centralized management information – ad hoc reporting
  • Highly manual budget process

INSIGHTS &
ANALYTICS

LEADING

  • Reporting factory approach for all production reports
  • Data science approach for enterprise/business unit analytics

LAGGING

  • Experience concepts not addressed

EXPERIENCE

LEADING

  • Human centric constituent group service in place
  • Focus on experience, innovation, and intelligence

LAGGING

  • No outcomes defined
  • No process improvement method
  • No tracking mechanism

OUTCOMES & BENEFITS

LEADING

  • Full metrics profile, part of routine reporting
  • Benchmarks and improvement targets at better practices level