2019 BAI performance measurement framework: 2.0

A user's guide to phase II of the BAI PMF pilot

PART II. BAI Performance Measurement Framework 2.0

Part II of the report provides a detailed overview of the BAI Performance Measurement Framework (PMF) 2.0 that was used as the basis for Phase I of the pilot and refined for the purposes of Phase II. In addition to presenting an updated survey instrument with clear definitions for the key performance metrics, this document serves as an operating manual for the BAI performance measurement process. As such, Part II of the report provides the necessary background for onboarding new BAI participants and government partners. Part II describes the approach for collecting, analyzing and reporting the data, including the methodology that will be used by approved researchers to produce the descriptive statistics and econometric analyses that will illuminate the relationship between BAI programs and the economic performance of client firms. Part III of the report details the operations and administration of the performance measurement platform, including processes for obtaining consent to share information and protecting the confidentiality of data.

2.1 Key PMF Design Principles and Considerations

The PMF is designed with four guiding principles:

  1. To develop simple measures of performance that do not put an undue burden on BAI client firms or on the BAI organizations;
  2. Whenever possible, to develop simple measures that are easily collected by BAI officials and the client firms themselves;
  3. Collect measures that allow for linkages to Statistics Canada administrative data sets as well as other data sets to extend the data in scope and time that permits additional descriptive statistics and future econometric analyses; and
  4. To only share client data to the extent necessary for the purposes of evaluating and improving the business incubation and acceleration services available to entrepreneurs and businesses in Canada.

Abiding by these principles will ensure that the PMF creates value for BAIs, their clients, partners and funders without imposing additional administrative burdens or compromising client confidentiality. In addition to these principles, a couple of additional high-level design considerations were very important in framing the PMF:

First, while the PMF delineates a core set of metrics focused on the economic performance of client firms, it does not cover all of the factors that could be deemed relevant in evaluating the performance of BAIs. Nor does it cover all of the data points and indicators that BAIs may require for internal management purposes or to satisfy the reporting requirements of particular funding partners. For example, the PMF does not call for systematic tracking of company success stories or a detailed analysis of client satisfaction with the programs and services that BAIs deliver. Nor does it call for any qualitative analysis of how BAIs interact with their local economic ecosystems and the benefits that those interactions generate. For the purposes of the PMF, it was decided that convergence on a common set of financial metrics would provide simple and useful measures for assessing the economic impact of BAIs and, furthermore, be easier to achieve across diverse organizations serving diverse clientele. BAIs are responsible for capturing any data that is beyond the scope of the PMF.

Second, the PMF is not designed to track the impact of all of the different services and programming that BAIs offer. For example, the BAI Steering Committee reached a decision to only include data on programs that deliver sustained interventions (e.g., education, advisory, coaching and mentoring services delivered over several months or more) that cater to growth-focused client firms. This means that activities and short-term interventions such as walk-in advisory services, conferences and lunch-and-learns will not be included in the data collected for the pilot. While such activities are an important part of the service mix that many BAIs offer, they are generally not the interventions that deliver the greatest economic impacts. In setting these interventions aside, the PMF can more clearly delineate that economic value that is generated from the substantive, growth-focused programming that BAIs offer.

2.2 Performance Metrics and Data Collection

Data collection for the PMF pilot is the responsibility of the participating BAI organizations and client firms. Representatives of each BAI organization are responsible for entering the BAI profile and company information being tracked by the PMF into the data sharing platform (i.e., Hockeystick for the purposes of the pilot). The first round of data collection for 2017 BAI program cohort/entrant data is complete. Data collection for 2018 BAI program cohort/entrant data is underway. In both instances, the information will be collected through two standardized questionnaires (Appendix A & B) administered by Hockeystick.

  • BAI Profile & Program Questionnaire (Appendix A) collects information about the structure of the BAIs (the organization profile) and the nature of the program(s) they offer to client firms (the program profile), including the types of firms and sectors BAIs target with their programs. Each participant will be required to have a Hockeystick account and will be responsible for completing the BAI questionnaire. BAIs are encouraged to complete more than one program profile.
  • Company Questionnaire (Appendix B) collects the client firm's key performance indicators such as employment, revenue and investment, as well as the client's business number and key characteristics such as their stage of development and the sector they work in.

BAI Program Profiles

Participation in the pilot is voluntary and BAIs can choose which of their programs to include in the pilot. As a starting point for data collection, BAIs participating in the pilot complete an organizational profile and a profile for each program for which they plan to contribute data. In choosing to include a program in the PMF, BAIs are responsible for ensuring recipients of these service offerings provide data for all of the questions and indicators included in the PMF. BAIs must also obtain consent from clients to share this data in manner that is consistent with the guidelines for data disclosure defined in section 2.3.

As noted above, BAIs should only include data on programs that deliver sustained interventions (e.g., education, advisory, coaching and mentoring services delivered over several months or more) and that cater to growth-focused client firms. BAIs should not include programming or activities that deliver short-term interventions to transient clients (e.g., conferences, "lunch and learns" or walk-in advisory services).

Table 2 outlines the organizational and program details that BAIs will need to upload. To do so, BAIs will first need to establish a free account with Hockeystick, which serves as the data-sharing platform for the pilot.

Table 2. BAI Organizational and Program Profiles.
Organizational Profile
  • Legal name
  • Year established
  • Contact information
  • HQ location (street address/city/province)
  • Affiliation (e.g., university, community, private)
  • Sources of funding (e.g., government, foundations, client fees, etc.)
Program Profile
  • Program name
  • Client intake (e.g., cohort-based or continuous intake)
  • Program length
  • Program type (e.g., co-working, business coaching, export support etc.)
  • Target client development stage(s)
  • Target sector(s)
  • Program cost to client (e.g., fixed fee, variable fee, no fee, etc.)
  • Company funding available (Y/N)
  • Type of funding (e.g., equity investments, grants, loans)
  • Program delivery model (e.g., in-person, online)
  • Average number of clients served through the program

Client Firm Metrics

Client companies (or BAIs on behalf of their clients) will also complete profiles in order to provide a more complete picture of the ventures that are participating in BAIs programs. The client identifiers (noted in Table 3) will be collected. These identifiers will be used only by approved Statistics Canada researchers for the purposes of linking client data to administrative and external databases, in order to facilitate statistical and econometric analysis. The information collected about client company characteristics and client demographics will also permit researchers to generate a range of valuable descriptive statistics, which are detailed below in the section about data analysis and reporting. Outputs from this analysis will only be provided in aggregate form, with strict protocols in place to ensure the confidentiality of client data (see section: Statistics Canada Data Management Approach).

Table 3. Company Profiles.
Client Identifiers
  • Business number
  • Legal name
  • Street address
  • Contact information
Client Characteristics
  • HQ location (city/province) in Canada
  • Date of incorporation
  • Year of first sale
  • Stage of development
  • Sector participation
  • # of establishments in/outside Canada
  • Support from public programs
  • BAI program(s) affiliated with client firm
Client Demographics
  • # of founders
  • Gender of founders
  • # of founders age 39 and under
  • # founders born outside of Canada
  • # of Indigenous founders
  • # of founders for which this is their first venture

The primary objective of the performance measurement framework is to link BAI programs and services to quantifiable improvements in company performance, particularly growth-related outcomes related to annual revenues, employment and investment. As such, in addition to company profile metrics, the performance measurement framework outlines a number of performance indicators or metrics that participants in the pilot will be required to track. Each performance category features a number of key metrics.

The specific categories of metrics include the following:

  • Job Creation: Measures of the total number of jobs created, including more specific measures of the types of jobs that have been created (e.g., full-time vs. part-time positions inside and outside of Canada)
  • Revenues: Measures of any annual sales revenues, including a breakdown of domestic and international sources.
  • Investment: Measures of the value and kind investment capital raised by companies.
  • Intellectual Property: Measures of the number of patent applications filed and granted.
  • BAI Impact Assessment: Measures the company's subjective assessment of the impact of BAI programming on company performance.
Table 4. Performance Metrics.
Employment Full-time employment in Canada
  • Full-time employees (≥30 hours pw) in Canada.
Part-time employment in Canada
  • Part-time employees (<30 hours pw) in Canada.
Number of employees outside of Canada
  • Full and part time employees outside Canada.
RevenueFootnote * Total annual sales revenue
  • Total annual sales revenue in a calendar year.
Annual sales revenue outside Canada
  • Total annual sales revenue outside of Canada in a calendar year (i.e., export revenue).
Capital Raised Credit from financial institutions
  • Financing received from bank loans and similar products in a calendar year.
Personal financing used towards the business
  • Includes personal loans, lines of credit, credit cards and personal savings of business owners in a calendar year.
Capital from friends or relatives
  • Financing received from friends or relatives of the business owner(s) in a calendar year.
Capital from public sources
  • Funding received from public sources (e.g. federal/provincial/municipal loans, grants, subsidies, prizes and non-repayable contributions) in a calendar year.
Capital from angel investors
  • Funding received from angel investors (e.g. individuals and groups unrelated to the business that provide financial backing and often advice) in a calendar year.
Capital from venture capital providers
  • Financing received from venture capital providers in a calendar year.
Capital from crowdsourcing
  • Financing received from crowdsourcing in a calendar year.
Intellectual Property Patent applications
  • Total # of patent applications in the previous calendar year.
Patents granted
  • Total # of patents granted in the previous calendar year.
BAI Impact Net promoter score
  • Willingness to recommend the BAI programs to someone else (0-10 net promoter score format, 0 is low).
Impact assessment
  • Assessment of the impact the BAI programs had on the company's chance of success.
    • Negative
    • None
    • Minor
    • Significant
    • Vital
    • Don't Know

In the 2017 survey, client companies had the option to include employment and revenue data for 2015 and 2016, thereby providing researchers with a better baseline against which to measure the impact of BAI services. Due to low response rates and in order to reduce the overall length of the survey, these questions have been eliminated for release 2.0.

Data Entry Options

For the purposes of the PMF pilot, there are two possible methods for collecting client data and entering it into Hockeystick. Regardless of the method, the BAI is responsible for securing the permissions from client companies to release the data to Hockeystick and, for the purposes of research, to Statistics Canada, ISED and approved researchers (see section 2.3 on data disclosure).

  • Entry by BAIs. BAIs can enter the client data on behalf of their client firms. This option will appeal to organizations that already collect information performance related data from client firms. For example, BAIs may choose to upload existing data to Hockeystick from their respective CRMs or performance management systems.
  • Direct entry by client firms. BAIs can request their client firms enter their data directly into Hockeystick using a secure online form. Where necessary, the BAI is expected to validate the data provided by clients and fill in any empty fields.

The common data sharing platform is intended to reduce the reporting burden on BAIs and their clients. Every effort is being made to ensure clients and BAIs are only required to input information once. BAIs should choose the data collection method that is most consistent with this goal. Both BAIs and clients can call Hockeystick's customer support team for assistance with any data entry questions or concerns. The ISED team is also available to provide to support to BAIs as needed.

Figure 2: Data collection, reporting and analysis process map

Graphic representing Data collection, reporting and analysis process map
Description of Figure 2
Data collection, reporting and analysis process map
Account Set-upClient Data CollectionData Collation & VisualizationData Reporting & ExportData Analysis & Evaluation

BAI sets up account with H/S.

Completes BAI Profile;

Obtains consent to share client data.

BAIs bulk upload client data from CRM;
Hockeystick Platform
BAIs view client data using H/S dashboard;

STC creates linkages to external databases

STC performs econometric analysis

Full micro data export to Statistics Canada (STC) 
Client firms upload data directly to H/S.Anonymized micro data export to ISEDISED generates descriptive stats and BAI performance reports for public distribution

2.3 Data Disclosure, Analysis and Reporting

Client data entered into Hockeystick is confidential and will be protected by Hockeystick's platform security (see section 3.2). Client data will only be made available for export and analysis according to a clearly defined set of rules for data disclosure and for protecting the confidentiality of data (see discussion below on Statistics Canada's Data Management Approach). This section details the rules for accessing client data and the principles and methods for how data analysis will be performed. It also highlights potential linkages to external datasets and identifies a set of descriptive statistics that approved researchers can generate from the data.

Data Disclosure

As noted, the PMF pilot will require that the client firms of participating BAIs provide certain client company information for the purposes of evaluating the economic impact of the support programs and services offered by BAI organizations. This may include the name of the client company, the company's business coordinates and website address, as well as financial information such as annual revenues, full and part-time employment and other relevant business information about the client companies.

The PMF defines four classes of information that will be subject to varying degrees of disclosure, as detailed below:

  • Client identifiers includes any company information that could be used to identify the client firms, including its business number, company name, street address and contact information.
  • Client characteristics help describe client companies but cannot be used to identify them. These include the year of incorporation, the client's "development stage," the number of establishments inside and outside Canada, the sector(s) in which the firm participates and the government programs from which the client has received support.
  • Client financials includes information that will be used to evaluate the impact of BAI organizations. This includes data such as annual sales inside and outside of Canada, full and part-time employment, capital raised from different sources, as well as patent applications and grants.
  • Client demographics includes information about the number of founders, their gender, if they are immigrants, and the number of Indigenous founders.

The PMF also specifies four main categories of stakeholders with which client data will be shared for the purposes of research, evaluation and performance improvement.

  • Statistics Canada (STC), including designated Statistics Canada researchers.
  • ISED and Approved Researchers. Employees of the Department of Innovation, Science and Economic Development and Statistics Canada approved external researchers.
  • BAIs with client firms. Specifically, the BAI organizations with a contractual support relationship with a client firm.
  • The Public, including other BAI organizations participating in the PMF pilot and the public at large.

Table 5 depicts which stakeholders will have access to the firm level data collected as part of the PMF pilot. As the table outlines, identifiable micro-data will be available only to Statistics Canada researchers and will be governed by strict confidentiality measures. As a general rule, public reports assessing the economic impact of BAIs in Canada will only include aggregated descriptive statistics, and only in cases in which there are sufficient observations to maintain firm level confidentiality (see section on assessing impact and descriptive statistics below). The organizational and program profiles entered into Hockeystick by BAIs will not be subject to any special confidentiality considerations.

Table 5: Disclosure of Client Data
Client Identifiers
  • Business number
  • Legal name
  • Street address
  • Contact information
Yes Yes No No
Client Characteristics
  • HQ location (city/province) in Canada
  • Date of incorporation
  • Year of first sale
  • Development stage
  • Sector participation
  • # of establishments in/outside Canada
  • Support from public programs
  • BAI program(s) affiliated with client firm
Yes Yes Yes Aggregated at BAI, city, provincial & national level
Client Financials
  • Jobs: full and part-time employment in/outside Canada
  • Revenue: sales in/outside Canada
  • Capital raised: gov't, private equity, debt
  • Intellectual property: patent applications and patent grants
Yes Yes Yes Aggregated at BAI, city, provincial & national level
Client Demographics
  • # of founder
  • Gender of founders
  • # of Canadian born founders
  • # of Indigenous founders
  • # of serial entrepreneurs
Yes Yes Yes Aggregated at BAI, city, provincial & national level

Statistics Canada's Data Management Approach

To encourage broad client participation in the PMF, BAIs will find it helpful to convey some key facts about the role of Statistics Canada in the data analysis process.

First, to balance Statistics Canada's extensive powers to collect information, the Statistics Act establishes rigorous legal obligations for Statistics Canada to keep information in trust and only use it for statistical purposes. Data obtained and kept by Statistics Canada cannot be used for non-statistical purposes (for example, by the CRA for tax assessment purposes). BAI clients who believe this will be much more likely to answer truthfully and cooperate with Statistics Canada. Much of Statistics Canada's credibility rests on confidentiality protection as a bedrock condition of operation.

It is also important that BAI clients understand that Statistics Canada does not publish identifiable information. In addition, a number of policies govern employees' activities. Only employees with a "need to know" have access to the agency's data holdings, and the linkage of data to other sources must undergo a prescribed review and approval process, which involves the submission of documented proposals to senior management.

Linkages to External Datasets

The PMF will establish linkages to other data sets, including data held by Statistics Canada, federal and provincial support programs and third-party entities such as the Canada Venture Capital and Private Equity Association (CVCA) and the National Angel Capital Association of Canada (NACO). Such linkages will improve the completeness and robustness of the data, enable researchers to extend the datasets in time and lessen the reporting burden on BAIs and client firms in cases where information can be sourced from existing datasets. To protect client confidentiality, all linkages to external datasets specified by the PMF will be performed by designated Statistics Canada researchers and subject to Statistics Canada's rules and procedures related to confidentiality.

The four categories of external datasets include, but are not necessarily limited to:

  • Statistics Canada (STC) Data, including a variety of micro-databases covering employer businesses in Canada.
  • VC and Angel data drawn from databases maintained by CVCA and NACO.
  • Federal Program Data from datasets maintained by Business Development Canada (BDC), Export Development Canada (EDC) and other federal programs such as the Industrial Research Assistance Program (IRAP) and the Regional Development Authorities (RDA).
  • Provincial Program Data from provincial business support programs.

Table 6 shows the specific linkages envisioned between data collected from client firms and the external datasets held by partner institutions. The table only lists the metrics for which linkages to external datasets are possible. To reiterate, these linkages would be performed within the Statistics Canada secure environment.

Table 6: Linkages to External Datasets
CLASSES OF INFORMATION METRICS/DATA Statistics Canada Data VC + Angel Data Federal Program Data Provincial Program Data
Client Identifiers
  • Business number
  • Legal name
  • Street address
  • City/Province
Client Characteristics
  • Year of first sale
  • Sector participation
  • # of establishments in Canada
  • Support from public programs
Client Financials
  • Employment in Canada
  • Annual sales in Canada
  • Capital raised – gov't
  • Capital raised – private equity
  • Capital raised – debt
  • Sources of financing

Data Analysis: Assessing the Impact of BAIs

As noted in part I, analysis performed using the data collected from BAI clients during the pilot period – including the production of descriptive statistics and econometric modelling using linked datasets by ISED, Statistics Canada and/or approved researchers – will not be used to evaluate the performance of individual BAIs. It will, however, be used to help draw broader policy conclusions about the economic impact of BAIs, assess the effectiveness of national funding programs and identify policy gaps. As such, the pilot will provide the government with an opportunity to test and refine different approaches to generating useful descriptive statistics and econometric models that can inform the policymaking process. At the same time, BAIs and other approved researchers can put forward proposals for research that will leverage the PMF data to derive insights that will drive BAI performance improvements and create other benefits for Canada's innovation ecosystems.

To assess the overall performance of the BAI industry and its ability to drive greater economic growth, three stages for measuring performance are being developed. The first two stages focus on early performance measurement within the first three years of the PMF while the third stage is focused on econometric data analysis that can be conducted three to four years after a company enters a BAI.

In the first stage, it is proposed that within the first year of a firm joining a BAI, descriptive statistics are generated based on the completed information that the BAI/client enters into Hockeystick in accordance with the BAI PMF. Table 7 lists a number of possible descriptive statistics that could be generated from the data.

Table 7: Descriptive Statistics
BAI Location Age Sector Founder Gender Founder Diversity
Firm age distribution
International footprint
Sectorial distribution    
Distribution of gov't support
Employment in Canada
Employment outside Canada
Number of high growth firms by employment  
Sales in Canada
Sales outside Canada
Number of high growth firms by sales  
Amount of capital raised by type (gov't, private, debt)
Patent distribution
Distribution of company stage of development  
Distribution of company founder profile (Gender, Diversity)    

The second stage (already demonstrated in phase I) involves linking data to administrative files within Statistics Canada (STC) and other data sources to extend the descriptive statistics both in scope and time. In this stage, for example, the growth profiles of BAI clients based on key performance indicators such as revenue and employment growth may be used to compare BAI clients to the general population of firms. In this case, NAICS (North American Industry Classification System) can possibly be used as a simple control variable. In phase II, additional control variables such as firm size and location may also be used for analysis. Depending on the quality of the data and the linkages that are possible, there may be a possibility to introduce some econometric techniques to compare the growth patterns of BAI clients over two-to-three years with other companies in the general population with similar characteristics.

Finally, after approximately four years, it may become possible to conduct a more rigorous econometric-based analysis. Using the more rigorous econometric-based analysis, a control group of non-BAI clients can be established. There are some substantial technical issues that need to be overcome to ensure that the characteristics of the population of the control group are a close match to the characteristics of the population of BAI clients. The researchers will work to develop advanced econometric techniques to identify the filters that will be used to identify the non-BAI clients that are closely matched to each of the BAI clients on a number of financial and non-financial factors. The statistically significant differences between KPI performance measures – such as revenue growth, employment growth, profitability, R&D expenditures – of the BAI client population to that of the control group can then be established. This analysis will provide an indication of the true economic impact of BAIs. This analysis will likely only be possible at the national level, and not at a regional or at the BAI level.

PART III. Performance Measurement Platform

This section describes the data sharing platform that will be used for the pilot and its administration. It also details all of the processes for gathering the consent to share information and protect the confidentiality of data (by firms, BAIs, researchers and Statistics Canada).

Following a review of available options, the BAI Steering Committee and its partners in government selected Hockeystick as the data platform for the Performance Measurement Framework feasibility study and pilot. With the support of the Federal Economic Development Agency for Southern Ontario (FedDev Ontario) and the Lazaridis Institute, the Hockeystick platform is being made freely available to BAIs and their clients for the purposes of the pilot project. Indeed, Hockeystick has made a long-term commitment to provide free services to BAIs that is defined in the legal agreements that BAIs sign to register an account with Hockeystick.

In its review of available platform options, the Steering Committee's decision at the outset of the pilot was guided by a number of key principles and requirements. These included:

  • Security. The platform's capacity to protect client confidentiality and securely host client data on servers located in Canada must be trusted by participating firms, BAIs and funding organizations.
  • Convenience. The process for loading BAI and firm level data onto the platform should be easy and complement the existing CRM and data management systems used by mature BAIs.
  • Engagement. The platform must be capable of influencing high-level of response and data entry rate with effective and easy-to-use survey tools.
  • Reporting. The platform must possess reporting and data visualization capabilities that create value for the PMF audience, including individual BAIs, client firms and government partners.
  • Availability. The platform must be available for adoption within a short time period.
  • Cost. The platform must be low cost for firms and BAIs to use.

While other platforms met many of these requirements, Hockeystick was the only platform that could satisfy all of them, and particularly the requirement to securely host client data on servers located in Canada. It is worth noting that Hockeystick is also being evaluated as part of the pilot. Pilot participants will be asked to provide feedback on Hockeystick's suitability for long-term use as a data platform for Canada's national performance measurement framework.

3.1 Platform Description

Hockeystick is used by venture capital funds, accelerators, angel groups, banks and government funders, to automatically collect financial data and produce insight via dashboards and portfolio reports. Hockeystick automates the reporting process, making it easy for innovation organizations, portfolio managers, companies and other users to comply with their reporting obligations. For the purpose of the PMF pilot, Hockeystick provides a secure, user-friendly and customized cloud-based data sharing platform that will facilitate and streamlines data collection efforts and information sharing across the BAI community and with government partners.

As noted above in the process map, financial data will be gathered from companies through surveys, documents and application integrations like QuickBooks Online, either by companies directly or by BAIs on behalf of their clients. BAIs will be notified when a report is filed or becomes late, and built-in reminders ensure that client companies file their data in a timely manner.

Hockeystick is able to switch between the two Canadian official languages in the UI and pull the content in that language for labels, buttons and messages. By default, Hockeystick will appear in English the first-time users login. However, one click of a link at the top right corner of the screen will automatically translate the interface into French.

3.2 Data Security

A key concern for BAIs and their client firms is the confidentiality and security of their data. Clients uploading their confidential financial information will rightly want assurances that their data will be protected from unauthorized access and malicious attacks. What follows is a brief description of Hockeystick's approach to data security.

Hockeystick's suite of applications is running on Amazon Web Services (AWS) platform and the data is hosted in AWS's Canada Central region data centre. The data centers are located in Montreal and support a subset of the full AWS list of products.

Hockeystick has implemented numerous security controls to mitigate malicious attacks on its data. More specifically, Hockeystick has employed four levels of security to secure its data. The first level is the security controls that Hockeystick has leveraged from AWS. The second level is the hardening of all its servers from the OS level to the web and database server applications. The third level is using the OWASP Top Ten to drive code reviews with static code analysis (white-box testing) in conjunction with periodic black-box testing. The fourth level is the use of monitoring and alerting software. For more information on platform security, please contact Hockeystick management.

3.3 Consent to Share Information

BAIs participating in the pilot will need to gather consent from their client firms to share information for the purposes of the pilot. This must happen before any client data is uploaded to Hockeystick, either by client firms directly, or by BAIs on behalf of their clients.

To facilitate the process of gathering consent for the pilot, ISED has drafted a consent form that participating BAIs can use with their client companies. Based on feedback from BAIs, this model consent form is being simplified for phase II of the pilot. The consent form describes the types of data that will be collected (e.g. founders demographics, company development stage, number of employees, revenues, capital and financing raised, etc.) and specifies with whom the data will be shared and how it will be used (e.g., with Statistics Canada where it will be viewed for research purposes to study how programs influence company growth, and, in anonymized format, with the department of Innovation, Science and Economic Development Canada, where it will be used to develop aggregate level reports on Canada's BAI ecosystem).