The videoclip by (HR Courses Online, 2023) also explains how DDDM works and why using accurate data can lead to better results than decisions based just on guesses or assumptions.

Data Driven Decision Making(DDDM)

DDDM means using real data to make important business decisions. Instead of going by experience alone, companies look at facts, numbers, and trends to understand what is really happening. This method help reduce risks, improve results and make smarter choices faster.

For Example, a company might look at sales data to decide which products to promote, or analyse customer feedback to improve a service. But using data properly also means understanding the limits of that data.

If information is missing or incorrect, it can lead to poor decisions. That's why is important to combine data with human judgment.

According to (Stobierski, 2019) , Companies that mix data insights with experience tend to make better, more ethical decisions. They not only act faster but also build trust with customers and employees.

The value of Data in Retail Decision- making

In the retail sector, data plays a crucial role in driving informed decisions. Nike uses customer data collected through mobile apps and purchase history to personalise product recommendations, manage inventory more efficiently, forecast market trends, and optimise pricing strategies. These data driven actions improve both customer experience and business performance. Data visualisation tools such as dashboards, graphs and tables help to identify patterns quickly, enabling teams to act faster and make smarter strategic decisions.(IBM, 2023a)

Construction Project Dashboard For Data Driven Decision Making

Using Data For Decision making helps companies stay focused on their goals by relying on trusted and analysed information .

To get the real value from Data, it must be accurate, timely and relevant. Today Data- driven decision making process has become much faster and more effective due to modern tools and technologies.(Stobierski, 2019)

Nike's Story

Nike Start as a small company called Blue Ribbon Sports in the 1960's, founded by Bill Bowerman and Phil Knight. With a strong focus on athletic innovation and bold marketing, it quickly grew into one of the most iconic sports brands in the world.

Over the years, Nike made powerful decisions that shaped its success from sponsoring athletes like Michael Jordan to creating a brand identity built on performance and style.

Today, Nike continues to grow by using data to guide its product design, customer insights, and global marketing strategies. As shown in the documentary style video by (Business Casual, 2018) , Nike journey reflects how combining strong leadership with data driven decisions leads to long term success.

The role of Data Specialist at Nike

At Nike, data Specialists play a key role in supporting smatrt decision making across the company. They collect related to sales trends, customer preferences, and product performance.

This information is used to improve product design, create personalised marketing campaigns, and deliver exactly what athletes and customers need.

One example can be seen in Nike's footwear design process, where data is used to understand how shoes are used and how they can be improved.

As show in the company video (Nike carees, 2021) , analytics help transform numbers and feedback into smart design choices that make their products more effective and desirable.

This Video explains how Nike uses Big Data and advanced analytics to stay competitive and innovative in the global market. It shows how the company uses data to undertand customer trends, predict needs, and improve products and marketing strategies. The video highlights Nike's digital culture and how data driven decision help the company grow and stay ahead.(Sneha Biswas, 2020)

This video gives an inside view of how Nike's data and analytics teams work closely with designers, engineers, and product managers. It focuses on Nike's culture of teamwork and innovation, where data is not just collected but turned into real decisions. It Shows how Nike uses Data to make better products and create smarter customer experiences.(Nike Careers: Our Stories, 2021)

Nike uses several mobile apps to stay connected with customers and collect valuable data that helps the company grow. Apps like SNKRS, Nike Shopping, and Nike Run Club do more than just sell products or offer services, they help Nike learn what customers like, how they shop, train, and interact with the brand.

By analusing this data, Nike can improve its marketing campaigns, design better products, and create personalised experiences. These apps are great example of how modern companies use data to stay competitive and build strong relationships with their customers.(Nike, 2023)