Author: Julia Voloshchenko, PR professional and Editor-in-Chief of the Usetech blog. Expert in media relations and branding. I write about technology and business.
Why does business need Data Science? This question worries business owners and analysts alike. But in fact, they underestimate the importance and necessity of data. They can be used to analyze customers and their behavior, predict the success or failure of a new product, and much more.
In this article, we present several experts who have described how they use Data Science in their companies. We believe that you will find some ideas inspiring for yourself and your business.
“I use Data Science to learn exactly what our target market needs, the prices they would consider to be worth the value that the product offers, and the message that resonates best with them. Data Science is used in market research, projecting for business goals, and to help target regions where we expect products to be adopted faster. It’s also critical to projecting manufacturing operations.
Lastly, I use Data Science to quantify our product’s benefits, through clinical trials to measure the impacts within hospitals — data that is generally peer-reviewed, therefore must meet standards for statistical significance in order to be considered legitimate.” — notes Rachael Sparks, CEO & Founder at Yar Marketing.
When asked what Data Science is and what benefits it offers businesses, Mladen Maksic, a founder, and CEO of Play Media, says:
“Data Science has become the driving force behind business success in the complex digital landscape. With an exponential increase in data generation, companies that effectively harness and analyze this information gain a competitive advantage.
From predicting consumer behavior to optimizing supply chains, Data Science is critical to driving innovation. By leveraging advanced predictive analytics and machine learning algorithms, businesses can uncover patterns, streamline operations, deliver personalized user experiences, and change market dynamics.”
Of course, many companies use Data Science when working with customers, thereby improving the customer experience.
“Using Data Science methods like Machine Learning, statistical modeling, predictive simulation, and data visualizations, we collaborate closely with our clients to develop custom reporting solutions that deliver measurable and reportable results. Data Science unlocks the true potential of data and helps achieve business goals with greater precision and efficiency.” — adds Chris MacNeel, Senior Data Scientist and Chief Operating Officer at Freya Systems.
Sergio Alexander, IT Solutions Consultant at Usetech, shares his experience with Data Science:
“We provide Data Science services in several industries: Retail & eCommerce, FinTech & Banking, Manufacturing, Oil & Gas, Telecom, Software & Hi-Tech, and Insurance. In addition to consulting services and business analysis, we help analyze and understand data for its effective use. Data is a leading business force in today’s competitive world, so it is important to use it to take your business to the next level. We help businesses pay attention to numbers and facts, because even the smallest detail can make a big difference.”
“With data analytics, businesses can make informed decisions with greater accuracy, develop reliable forecasting models, and stay ahead of the competition. Companies can customize services and products to meet their needs by gaining valuable customer insights. Data analytics is essential for organizations looking to remain competitive in today’s environment.” — notes Chris MacNeel.
Rachael Sparks adds:
“When we use data to predict, project, measure, or confirm the impact of our business and marketing efforts, we can hold ourselves accountable to investors or boards, and more responsibly invest our own budgets towards efforts that will pay off — far more successful than just going with our gut.”
Data is the driving force of business and should be looked at when forecasting and making decisions. In addition, data allows you to adjust your business strategy and customer interaction strategy. Start working with data today to take your business to the next level tomorrow.