Data Democratisation | by Cuomu Zhaxi
With the growing impact of data in every aspect of life and work, data democratisation has become a keyword that is gaining increasing importance in our pursuit of a fair and just system.
Data democratisation is often defined as the process of making data accessible and available to a wider range of people within an organization or society. We are not only talking about data analysts and experts, but also employees, customers, and citizens who may not have traditional data skills or technical knowledge.
Why do we care about data democratisation?
We focus on data democratisation because we want to empower individuals to make better decisions, solve problems, and create new insights based on accessible data. This can be achieved through tools and platforms that provide self-service access to data, as well as training and education programs that help individuals develop the skills needed to work with data effectively.
- Improved Decision-Making:
When more people have access to data and the ability to analyse it, a diverse range of perspectives and insights can be brought to the decision-making process. Therefore, the traditionally secluded decision-making process can be transformed into a more collaborative and democratic process.
- Increased Innovation:
When employees of an organisation or members of a society have access to relevant data, they can identify missing links, share and explore new ideas, test hypotheses, and formulate novel solutions to problems. For an organisation, this data-fueled creativity has greater potential to lead to the development of new products and services, improved operational efficiency, and better customer experiences.
- Greater Transparency and Trust:
Increased access to data, tends to result in improved transparency within an organization. By opening up data access, it can foster a sense of openness and trust between employees, customers, and other stakeholders, and can ultimately lead to a more open and collaborative organizational culture.
What to watch out for when democratising data?
- Data Quality and Consistency:
When data is accessible to a wide range of people, there is a risk that it may be misinterpreted, misused, or improperly analyzed. This can lead to errors, inconsistencies, and inaccuracies in the data. Organizations need to ensure that data is accurate, consistent, and reliable before making it available to a wider audience.
- Security and Privacy Risks:
Data democratization can also increase the risk of security breaches or data privacy violations. When more people have access to data, there is a greater risk that sensitive information could be leaked or misused. Organizations need to implement strong data security measures and ensure that data privacy regulations are followed.
- Technical Infrastructure:
Data democratization requires technical infrastructure that can support self-service access to data, such as data warehouses, data lakes, and data visualization tools. This can require significant investment in technology and resources to set up and maintain. Organizations need to ensure that they have the necessary technical capabilities to support data democratization.
- Resistance to Change:
Data democratization can also face resistance from employees who are used to working with data in a certain way. Some may feel threatened by the idea of others having access to the data they work with or may be hesitant to adopt new tools and processes. Organizations need to ensure that they have a change management plan in place to address any resistance to data democratization.
Examples
- Airbnb: Airbnb, the popular online marketplace for short-term lodging rentals, has embraced data democratization as a way to empower its employees to make data-driven decisions. Airbnb's data team has built a suite of self-service tools and dashboards that allow employees to access and analyze data on their own. This includes tools for tracking user behavior, analyzing market trends, and monitoring key performance indicators (KPIs). By making data more accessible, Airbnb has been able to improve decision-making, increase collaboration, and drive innovation.
- Starbucks: Starbucks, the global coffeehouse chain, has also embraced data democratization as a way to improve operations and customer experience. The company has invested in a mobile app that allows customers to order and pay for drinks ahead of time, as well as track rewards and promotions. Through the app, Starbucks collects data on customer behavior, such as which drinks are popular, when and where customers are ordering, and what types of promotions are most effective. This data is made accessible to employees across the organization, including store managers, regional managers, and marketing teams, who use it to make data-driven decisions about staffing, inventory, promotions, and product development. By democratizing data, Starbucks has been able to optimize operations, improve customer experience, and drive business growth.
Reference:
https://www.collibra.com/us/en/blog/whats-your-data-democratization-strategy-how-to-successfully-democratize-data