Data Collection

Data Collection

Data collection activities play a crucial role in the development of the startup ecosystem in the Western Balkans. By gathering and analyzing relevant data, startups, investors, and policymakers can gain valuable insights that enable informed decision-making and drive the growth of the ecosystem. Our members continuously monitor their startup ecosystem through local and regional research papers, surveys  and reports. The alliance is committed to bring all of the countries in the region to build sustainable data collection methods and aims to publish regular reports and statistics through collaboration with stakeholders.

Our focus is:

  1. Investment and Funding: Startups in the Western Balkans require funding to scale their operations. Accurate and reliable data on the performance, market potential, and financial health of startups can attract local and international investors. Data-backed business plans and financial projections increase the likelihood of securing funding, fostering a thriving investment ecosystem.
  2. Policy Formulation: Governments and policymakers rely on data to design supportive policies and regulations that foster innovation and entrepreneurship. Data collection activities, including surveys, interviews, and case studies, provide insights into the challenges faced by startups, their impact on the economy, and the necessary policy interventions. These data-driven policies can streamline business processes, enhance access to resources, and create an enabling environment for startups to thrive.
  3. Ecosystem Mapping: Data collection activities help map and analyze the startup ecosystem in the Western Balkans. This involves identifying key stakeholders, including startups, investors, incubators, accelerators, and support organizations. Collecting data on their activities, funding flows, success stories, and collaborations enables ecosystem stakeholders to understand the strengths, weaknesses, and potential gaps in the ecosystem. This knowledge aids in fostering collaboration, mentorship, and resource-sharing within the ecosystem.
  4. Talent Development: Startups require skilled talent to drive innovation and growth. Data collection activities can help identify the skill sets in demand, highlight gaps in the talent pool, and assess the effectiveness of training and education programs. This information can be used to design targeted initiatives to develop the necessary skills, attract and retain talent, and bridge the gap between academia and industry.
  5. Industry Development: Measuring industry development provides insights into competitors’ strategies, market share, and customer preferences. Startups can benchmark themselves against established players and identify opportunities for differentiation. Understanding the competitive landscape helps startups refine their value proposition, identify unique selling points, and develop strategies to gain a competitive advantage.