Internal Blog Writing
Context
I collaborated with data scientists, chief AI strategist, and the content team to develop thought leadership articles to educate internal employees from different business units about why “good” data is crucial to crafting a successful AI model. The goal of these articles was to help employees build trust with AI. Below is a sample of one of the first articles for this series.
Fueling Digital Transformation: The Power of Data Analytics & Insights
Becoming a "data-driven" business is like upgrading from driving a car to flying a plane—it allows you to reach your goals much faster and more efficiently. Using data to make quick, informed decisions is essential for staying competitive in today’s fast-moving markets. At K-C, we’re focusing on integrating data and analytics into our processes to prepare for future challenges.
But how does this work?
Data and analytics help us understand the past, make smarter decisions in the present, and even predict the future. By analyzing data patterns, we can anticipate trends and take action before issues arise, using tools like artificial intelligence (AI) and machine learning (ML) to guide us.
So, what exactly is data and analytics, and why is it important?
Data and analytics is the process of turning raw information into useful insights. It helps businesses improve performance, increase profits, and make better strategic choices by understanding customer behavior, optimizing marketing, and predicting needs.
Here’s a breakdown of the four types of data and analytics:
Descriptive Analytics: Answers "what happened" by reviewing past events, like how much inventory we had last month.
Diagnostic Analytics: Looks at "why something happened" by analyzing historical data, such as understanding why customers stopped using a service.
Predictive Analytics: Uses past data to predict future events, like when a machine might break down.
Prescriptive Analytics: Recommends actions to take, combining past insights and future predictions to guide decisions, such as pricing adjustments based on demand.
In today’s world, decision-making is getting more complicated due to information overload. According to Gartner, 65% of decisions now involve more stakeholders or choices, making it harder to navigate. Data and analytics cut through this complexity by helping businesses quickly understand trends and make consistent, smart decisions to reduce risks.
In the next article, we’ll explore how data and analytics are driving digital transformation at K-C with the Aurora initiative!
