
Manufacturing – Product Quality Improvement Helps individuals plan travel and interaction according to their needs.Helps inform decisions made by authorities to combat spikes in cases.Hospitals can anticipate staffing and supply needs, and be better prepared to meet them.The Centers for Disease Control uses outbreak analytics and forecasting to anticipate spikes in cases of COVID-19.

Patients got an accurate diagnosis faster and started treatment earlier, in some cases leading to better outcomes.In 2018, researchers at MIT created an algorithm that detects differences in MRI scans and other 3d images 1,000 times faster than humans. Practitioners who took empathy training have fewer malpractice claims.Patients felt heard and communication in both directions improved resulting in improved patient safety.One health system analyzed data on patient experience with medical practitioners.ĭata analysis showed that some practitioners prioritized scientific facts over patient experience leaving the patients feeling that the doctors weren’t empathetic.ĭoctors received empathy training to help with patient communication. Healthcare – Improving Practitioner Skills Pepsi paused marketing campaigns for products that were in high demand, saving advertising dollars.Pepsi helped its customers have the right products, in the right volumes, and at the right time.Pepsi used a machine learning algorithm to analyze the data to predict when clients would be out of stock, and to send reorder alerts, and shipment notifications.

They asked their clients for warehouse inventory and point-of-sale data. This article contains eight examples of actionable insights from data analysis, and shows the benefits achieved from each.Īt the start of the pandemic, Pepsi Co, whose brands include Pepsi, Lays, Doritos, 7UP, Tropicana, and Quaker Oats, found that some of their products were flying off of shelves to help clients manage inventory to meet demand.

But some organizations don’t know where to begin, or just what the benefits will be.Īctionable insights provide the ultimate value from data analysis because they allow an organization to take concrete actions, and make bold decisions which improve efficiency, break open new markets, create new revenue streams, increase profits, and reduce costs. Organizations of all types and sizes have access to huge amounts of data which can be analyzed for insights that will guide their decision making.
