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Writer's pictureAnantaya Pornwichianwong

10 Checklists to Tell if Your Company is a Data-Driven



Becoming a data-driven company is a goal of modern organizations. Nowadays, companies are striving to be completely guided by data in all aspects.


Being a data-driven organization allows businesses to make better decisions based on data, thereby reducing mistakes and boosting operational efficiency. This approach increases the likelihood of winning customer loyalty and enhances flexibility to adapt to changes.


Becoming a data-driven organization is more than just a trend; it is a practice that empowers companies to achieve steady and sustainable growth.


Sertis invites you to explore 10 checklists that can determine whether your company is truly data-driven and identify areas for improvement to help you uncover the potential to accelerate business growth through effective data utilization.


What is a data-driven organization?


A data-driven organization utilizes data as the foundation of all its activities, including decision-making, strategic planning, and operational design. Such an organization considers data as a valuable asset and establishes efficient systems and infrastructure for data storage and management. Data-driven practices are ingrained in their culture, and embraced by every member of the company.


10 Checklists to Tell if Your Company is a Data-Driven


1. Data accessibility


The first important step towards being a data-driven organization is making sure that everyone who needs it can access the necessary data. This access shouldn't be restricted to just the management team. The organization needs to create systems and tools that let employees easily get the data they need for their daily tasks, without having to deal with complicated processes. At the same time, it's really important to keep the data safe and follow the security rules.


2. Data literacy


In a data-driven organization, it's important that key people, including executives, have data literacy. This means they know how to use data effectively in their jobs. They don't need to be data scientists, but they should have a basic ability to understand and work with data. This helps them analyze and make sense of data to make informed decisions in their roles.


3. Data-driven decision making


Another crucial aspect of being a data-driven company is ensuring that every decision, whether it's related to day-to-day operations or long-term strategy, is supported by data. Data should play a crucial role in the decision-making process. It's important to avoid making decisions solely based on gut feelings or personal experiences, without any connection to data. When all employees make their choices based on data, the organization is on the path to becoming truly data-driven.


4. Data quality


In a data-driven organization, ensuring the quality of the data they use is a top priority. They establish an infrastructure and a system for assuring data quality, guaranteeing that the data is accurate, consistent, and reliable.


5. Data governance


Having well-defined data governance policies and practices is another critical concern for a data-driven organization. These policies determine who can access specific data, how data can be used, and what safety measures are needed to protect the data. It's important to establish comprehensive data governance policies while also ensuring equitable access to the data.



6. Testing and experimentation


A data-driven organization places a strong emphasis on learning through testing and experimentation with new assumptions. When we analyze data, we frequently uncover fresh insights and hypotheses. An organization that fosters a culture of encouraging employees to test and experiment with these new assumptions is more likely to uncover innovative solutions that enhance their business.


7. Investment in technology and tools


A data-driven organization makes strategic investments in technology and tools that enhance efficiency in various data-related tasks. These tools could encompass data collection, storage, and analysis, as well as advanced data analytics using machine learning.


8. Metrics and KPIs


A data-driven organization establishes well-defined metrics and KPIs to consistently monitor the performance of all their operations. These metrics and KPIs enable employees to measure their performance, pinpoint the root causes of issues, and identify areas for improvement. Moreover, they guide the company's strategic trajectory and ensure alignment among all employees.


9. Data culture


A data-driven organization adopts a culture centered around data and ensures that this mindset is ingrained in every employee. The leadership team promotes making decisions based on data until it becomes an instinct for everyone. This characteristic signifies a genuinely data-driven organization.


10. Data analytics team


While establishing a data analytics team isn't the initial focus when becoming a data-driven organization, having such a team responsible for collecting, organizing, analyzing, and strategizing within the organization is a positive indicator that the company is progressing on the path toward becoming truly data-driven.


Embarking on the journey to become a data-driven organization can be accelerated and streamlined by seeking advice and working together with experts. At Sertis, we are a prominent data solution provider, equipped with a team of professionals ready to tailor solutions for your specific needs, ranging from data infrastructure and databases to data governance, integration, and analytics. Our team is prepared to guide you in the transformation to a fully data-driven company across all aspects, fostering steady and sustainable growth.


Learn more about data solutions from Sertis: https://www.sertiscorp.com/solutions


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