In this data-driven environment, it is important that we make the most of the data available in order to meet the business requirements. Thus, building a data culture in the entire organization is important as it will equip employees in operations, product, marketing, HR, and other departments with the ability to fulfill data queries and data visualization in a self-serve manner. Additionally, it also allows data scientists and data analysts to improve data systems and models. This article will throw light on 10 ways to build a strong data culture in your organization.

Data-driven management

A point worth a mention is that data-driven management starts from the very top. It is observed that companies with data-driven cultures have top managers who set an expectation that decisions must be anchored in data. The example they set can catalyze substantial shifts in company-wide norms.

Data-driven goals

Unless the companies take efforts to formulate data-driven goals and parameters to know how they will influence the decision of the company, it is quite difficult to meet the business objectives and boost the sales accordingly.

Pulling the business towards data science

As data scientists are often sequestered within a company, it is important to make boundaries between the business and the data scientists highly porous. If this is not paid attention to then, quite evidently, data scientists and businesses end up knowing too little about each other.

Fixing data access issues

One of the most common complaints that we get to hear is that people in different parts of a business struggle to obtain even the most basic data. And this coming despite efforts to democratize access to data within corporations is a cause of concern. Fixing data access issues is, therefore, a crucial way to build a strong data culture.

Making use of the right tools to analyse data

The whole purpose of data is lost when the company doesn't have the right set of tools to analyse it and make the best of it. Employing tools such as Tableau, Power BI, etc. to transform data into readable charts, figures, etc. is a step towards building a data-driven culture within the organization.

Relying on a robust data technology

The organization should have a technology that is capable enough of collecting data, integrating it and analysing the same. Thus, investing in developing technology expertise to guide and support you in the above process is something that shouldn't be overlooked.

Code of conduct

A code of conduct that defines ethical guidelines for the use of data and analysis, both internally and externally, is yet another important way to bring about a strong data culture within the organization.

Training

A specialised training at all levels of the company so that reading, working, analysing and discussing data becomes a lot easier, is of utmost importance. In this way, data literacy figures can be improved significantly.

Exploring alternatives to an analytical problem

Rather than focusing on a single correct approach, a better solution would be to ask teams how they approached a particular problem, what all alternatives did they consider, what they understood the tradeoffs to be, and why they chose one approach over another.

Rewarding employees

A great organization is the one that realises the efforts put in by the employees and rewards them for the same. This not just helps in building a strong data culture but also acts as a motivation for the employees.