How to build Data Driven organization – Startups

Startup – rapid growth

  • Situation: 
    • An increase of an order or several orders of magnitude
    • Many dimensions of change (amount of data, sources, teams)
  • Organisational dilemmas:
    • No own data team
    • Democratization of the management process
    • The way of organizing the DATA team
  • Technological challenges:
    • Tool selection
    • Spagetti architecture
    • Strategy of continuous rapid development of core systems vs. data flow
    • Lack of technological competences on the part of the data/data consumption team

Architecture – starting point

  • Team
    • Total <30 people
    • Data team ~ 3 people (DA only)
  • Needs
    • Transferring existing reports from the production (transactional) database to analytical solutions
  • Organisation
    • Founders created and maintained existing analytics, first people hired for analytics

Architecture – step 1

  • Team
    • Total  <60 people
    • Data team ~ 5 people
  • Needs
    • Rapid increase in demand for reporting in every field
    • One truth
  • Organisation
    • First plans to build a scalable future-proof data infrastructure

Architecture – step 2

  • Team
    • Total  <150 people
    • Data team ~ 15 people
  • Needs
    • The multitude and complexity of discovery analyses
    • Effective data team management
  • Organisation
    • Central data engineering team providing data for all functions
    • A distributed analytical team supporting individual functions

Architecture – step 3

  • Team
    • Total  >150 people
    • Data team ~ 20 people
  • Needs
    • Multidimensional analytical organization supporting all functions + scalable data infrastructure
    • Reporting and notification mechanisms close to real time
  • Organisation
    • Central data engineering team providing data for all functions
    • An analytical team dedicated to specific functions

Startup – rapid growth

  • ORGANISATION:  
    • DATA “interim” team for the period of building your own organization
    • centralized engineering team (3-5 people)
    • Dynamically allocated analytical team (2-10 people)
    • data model – event based approach
    • gradual transfer of responsibilities to employed employees
  • OPUTCOMES:
    • modern infrastructure ready for multiple scale increases
    • automated and orchestrated architecture of DATA solutions
    • started processes and organization of work of teams data
    • delivered analytical needs
    • all over the course of 12 months of cooperation

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The website administrator is Alterdata.io sp. z o.o. headquartered in Warsaw at the address Domaniewska 47/10, entered into the Register of Entrepreneurs under the KRS number: 0000672717, for which the registration files are kept by the District Court in Warsaw, 13th Commercial Division, with taxpayer indentification numbers: 521-377-59-57, REGON: 36700511900000.

The website administrator is Alterdata.io sp. z o.o. headquartered in Warsaw at the address Domaniewska 47/10, entered into the Register of Entrepreneurs under the KRS number: 0000672717, for which the registration files are kept by the District Court in Warsaw, 13th Commercial Division, with taxpayer indentification numbers: 521-377-59-57, REGON: 36700511900000.