Creating a data driven culture means making decisions based on real facts instead of opinions or habits. This video (The Data Governor, 2023) explain how building a strong data driven culture requires more than just technology. It shows that successful organisations focus on trust, leadership, and clear communication. By encouraging staff to rely on facts rather that opinions, companies can make faster and better decisions. It also highlights the importance of training and involving all departments, so that data becomes part of the everyday work process, not just a technical task.

Data Driven Culture

A data driven culture means that people in a company use data to make decisions. it is about trusting facts and learning from what the data shows. In a data driven culture, people ask questions, look at results and are open to change, all based on what data says.(Crabtree, 2023)

Nike promotes a strong data driven culture where decisions are based on real insights, not just assumptions. In the video , we see how Nike's team s rely on data to improve everything.(Nike, 2023)

Understanding data ethics means recognising that every stage of working with data , from collection to usage, should follow legal and ethical responsibilities. The video (BioTech Whisperer, 2024) highlights the core principles of data ethics:

Ownership
Privacy
Consent
Transparency
Accountability

These principles ensure that data is used fairly, respectfully , and without harm, supporting a culture where people trust how their data is handled.

Ethics into a data driven culture

Bringing ethics into a data driven culture means making sure that every step of working with data , from collection to analysis and usage is done responsibly and with with care. It is about protecting people's privacy, being transparent, treating data fairly and making sure there's accountability in how decisions are made. Even when companies use data to make smarter business choices, they still need to follow strong ethical principles in everything they do.(Edquist et al., 2022)

Nike has shown from beginning that it is a company driven by innovation. By using data and analytics, it changed how shoes are designed and how products move through the global supply chain. Now, Nike pushing forward using Big Data to improve everything from sales and customer experiences to marketing and product development.(Nike, 2023)

Nike uses advanced data tools to understand what customer want. In the video (Copper Digital, 2024) it is shown how Nike applies sentiment analysis and computer vision to analyse customer reviews and social posts. These tools help Nike discover what people like of dislike and guide their product design and marketing strategies. Data helps Nike stay ahead by listening closely to customer feedback and trends.

Nike use customer feedback and behaviour analysis to improve its products and services. By analysing reviews, purchase history, and online behaviour, Nike identifies patterns and preferences that help guide product development, design updates, and marketing decisions. This Data driven approach enables Nike to stay aligned with customer expectations and respond quickly to market trends.(Nike carees, 2021)

By analysing product reviews and social media posts, Nike uses sentiment analysis to find out what people like or dislike.

Nike gathers data from its apps like Nike Training Club and Nike Run club to offer users more personalized experiences. This includes product suggestions, workout tips and even promotions tailored to each user's habits.

By using machine learning, Nike can understand how customers shop, what they prefer and when they are most active.(Nike, 2023)

The video shows how Nike leverages AI and predictive analytics to improve its supply chain efficiency. By using real time data and sales insights, Nike can forecast product demand more accurately, reduce excess inventory, and avoid stockouts. This approach allows the company to respond faster to market needs and deliver the right products to the right locations at the right time. It also helps minimise waste and streamline operations across its global network.(Treasure Data, 2021)

Optimizing Supply Chain with AI

Nike uses predictive analytics to better manage it is inventory, making sure products are available where and when they are needed most.

By analysing Sales data and trends, Nike can avoid overstock or shortages, reduce waste, and improve how efficiently products are delivered to stores or customers.

Nike's Privacy Policy

Nike collects and processes personal data when users visit their websites, apps or events. This allows us to offer better services, personalize your experience and deliver products you need.

We explain clearly what data we collect, why we need it and how we protect it. Depending where you live, different Nike teams are responsible for managing your data. You can also have control of your data, change it or request to delete it whenever you want.

We are committed to protecting your data and making sure your always stay in control.

All these examples from Nike show how big Data supports faster and smarter decisions across the company. By relying on dashboards, analytics, and customer insights, Nike avoids stock problems, targets the right audience, and improves customer satisfaction. This proves that using data in business is not just helpful , it is essential(Nike, 2023)