Role of Data Democratization in Streamlining Data Cycle Processes and Polishing Corporate Culture

October 28, 2021

iauro Team

Contributing immensely to the global software solutions ecosystem. DevOps | Microservices | Microfrontend | DesignThinking LinkedIn
In 2016, Airbnb faced an unusual challenge. The travel company had just started growing, both in revenue and the number of users, and this was the first time it came face-to-face with the fact it was dealing with more data than it could handle. Add to this the company’s desire to give a voice to their customers through data.

To tackle this two-fold problem, Airbnb devised an ingenious solution. The Data University. Modeled on Google’s internal training programs, Airbnb’s Data University was founded to encourage data literacy but later revolutionized into a sophisticated system of data-driven decision-making throughout the organization. All teams were now empowered to access everything they needed, from product analytics to customer-action datasets.

The result? After six months of this data democratization initiative, for the first time ever, Airbnb turned profitable.

In its truest sense, data democratization makes sure that everyone gets access to data without the presence of any gatekeepers creating bottlenecks. One cannot look at data democratization without addressing the need to pave the way for people to quickly understand and use this data. When done right, data democratization not only expedites decision-making at all levels of the organization but also creates new opportunities for growth. The idea is simple – anyone can access data at any time to help make decisions without any hindrances in the form of access, gatekeeping, and understanding.

The Undeniable Role of Data Democratization

While concerns about making all data accessible to everyone may seem concerning, advocates of data democratization like to remind organizations that distributing information across all work processes and functions can turn into a significant competitive advantage. Here’s how:

With diverse expertise, teams can make decisions keeping the bigger picture in mind, as opposed to a myopic view that is focused on the team alone.

Organizations can identify critical areas based on business insights and make decisions faster.

A data-driven company to pursue its goals benefits from the sum-total of efforts of its data-driven teams.

Data-driven teams are more likely to communicate more freely, openly, and effectively with each other.

Democratization of the Data Lifecycle

DevOps and DataOps have transformed the way organizations see data. Streamlining the data cycle fine-tunes the work processes, removing redundant data, making operations faster, more efficient, and more reliable.

Democratizing Data

Making all stakeholders more data-independent by giving them access to information instead of making them jump through hoops increases user engagement, reduces turnaround time, and lessens the workload on IT teams.

Democratizing Software Delivery

DevOps and DevSecOps support scalability and flexibility of work environments with automated governance and high-performing CI/CD pipelines.

Democratizing Security

Every data touch point comes with its own set of data security risks. Implementing hyper automation in governance and workflows across the data pipeline reduces these risks significantly.

Organizations can become more data-driven by overcoming the cultural conundrum, investing resources in building a data-driven enterprise, and creating their own ‘single source of truth.’ Empowering people at all levels of ownership to make data-driven decisions can be the game-changer you have been looking for.

Iauro is a trusted digital transformation and data democratization partner for leading enterprises. Talk to us to make your organization ready for the challenges of tomorrow.

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