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Basis of reporting

The information presented in this report is collected from various online and offline, internal and external resources. In many cases, interviews with partners and employees took place in order to write the text. For the data, a variety of systems were used, including but not limited to our SAP systems and specific project data.

Strategic KPIs

In calculating the value of our strategic KPIs, we have applied the following data definitions:

Client satisfaction (engagements): the average score received from clients on post-engagement questionnaires sent out by the businesses during the financial year.

Regulatory quality: % of regulatory reviews (reviews issued by PCAOB, AFM, NBA, ADR, and Inspectie OCW), of which the results were communicated in the reporting year that are satisfactory as a percentage of all regulatory reviews issued in the reporting year.

Carbon emission reduction: the % in which mobility related carbon emissions were increased or decreased compared to comparable emissions in the base year 2018/2019 (32,190 tonnes). This year was chosen as reference year by DTTL for the global WorldClimate programme.

NPS at C-level among strategic clients: the net promotor score as determined during the client service assessment conversations, in which we regard a score of 9 or higher (on a 1-10 scale) as active promotors. Where clients indicate to be an active promotor and is considering a score between 8 and 9, the independent interviewer will seek confirmation with the client. When confirmed, these clients are also categorised as active promotors.

Talent engagement score: average weighted score for talent engagement as measured by the Deloitte Talent Survey that is performed throughout the year.

# employer of choice in relevant ranking: ranking in the benchmark study performed by Universum in the Netherlands for the universities: University of Amsterdam, VU University Amsterdam, University of Groningen, Erasmus University Rotterdam, University of Tilburg, Technical University Eindhoven, Delft University of Technology for Business / Commercial studies and for STEM profiles.

Female positions in leadership roles: # women in Supervisory Board, Executive Board and Executive Committee divided by total membership of Supervisory Board, Executive Board and Executive Committee.

Female partners as % of total partners: # female partners divided by total # of partners.

Talent data

Unless otherwise indicated, our Talent data excludes interns as inclusion would distort insights provided by the indicators used (e.g. on important areas such as % of employees receiving regular performance & career development reviews, and employee turnover).

Lost days is the total of absent planned work days in one year. Sickness leave is calculated by dividing the number of lost days by the total planned work days in one year.

Anti-Corruption/Ethics Training: % of employees working for the firm as per May 31, 2022 successfully completed the mandatory anti-corruption/ethics e-learning on or before May 31, 2022.

Ecological footprint

The data included in the ecological footprint table of this Annex is gathered through a number of means:

  • Total kilometres driven by lease cars as well as the number of lease cars in use are obtained from our supplier.

  • Total litres of petrol, diesel and LPG, and electricity in kWh are obtained from our supplier. For conversion of these fuels to CO2 emissions we used the most up to date emission factors  based on :

    • Petrol: 1 litre equals 2.784 kilogrammes CO2

    • Diesel: 1 litre equals 3.262 kilogrammes CO2

    • LPG: 1 litre equals 1.798 kilogrammes CO2

    • Electricity: 1 kWh equals 0.427 kilogrammes CO2

  • As we do not separately monitor business trips, commuting and privat use of lease cars, our data includes all these elements.

  • For the conversion of natural gas consumption to MJ, we used the conversion factor from the GasUnie: caloric value per m3 is 35,17 MJ.

  • Total kilometres travelled by plane are obtained from our travel agents. It is standing policy that we use the most recent conversion factors. Hence, for the calculation of the related CO2 emissions, we have used the 2021 conversion factors as provided by DEFRA ( using a classification that distinguishes economy, premium economy, business class and first class and categorises air travel in domestic, short-haul international and long-haul international flights. For the various subgroups, the following CO2 conversions are used:

    • Domestic average: 0.24587 kg CO2/kilometre per passenger

    • Short-haul international average: 0.15353 kg CO2/kilometre per passenger

    • Short-haul international economy class: 0.15102 kg CO2/kilometre per passenger

    • Short-haul international business class: 0.22652 kg CO2/kilometre per passenger

    • Long-haul international average: 0.19309 kg CO2/kilometre per passenger

    • Long-haul international economy class: 0.14787 kg CO2/kilometre per passenger

    • Long-haul international premium economy class: 0.23659 CO2/kilometre per passenger

    • Long-haul international business class: 0.42882 kg CO2/kilometre per passenger

    • Long-haul-international first class: 0.59147 kg CO2/kilometre per passenger

  • The total kilometres travelled by train are obtained from our supplier Nederlandse Spoorwegen. For the calculation of related CO2 emissions for national rail, we used a conversion factor of 0.002 kg CO2/kilometre per passenger as published by Nederlandse Spoorwegen.

  • For international rail, the total kilometres travelled are provided by our travel agency. For the calculation of related CO2 emissions for international rail, we used a conversion factor of 0.0046 kg CO2/kilometre per passenger for intracontinental rail travel between different countries and of 0.0346 kg CO2/kilometre per passenger for intracontinental rail travel within the same country (taking an international train for a domestic journey).  

  • To calculate the carbon emissions caused by hotel stays by Deloitte partners and employees, we have multiplied the total number of hotel nights with 31.3 kg CO2. This conversion factor has been developed by DTTL on the basis of the Cornell University Hotel Benchmarking tool.