• February 8, 2017

Spreading the Influence: Big Data Across Industries

Three industries where Big Data is making a big difference.

By Marcus Borba, Data and Analytics Expert, and CEO at Borba Consulting

In today’s complex business environment, organizations are generating more and more data and are increasingly concerned with using that information to make better decisions. Big Data is becoming one of the most important drivers of a company’s success. Some industries are experiencing great evolutions stemming from data and analytics, such as healthcare, retail, and financial services.


Healthcare is experiencing a huge evolution, despite being known as a sector that typically adopts technologies more slowly. The detail and volume of patient information is growing faster, and digital patient-generated health data (PGHD) is being created through more sensors and Internet of Things technologies. PGHD is health-related data created, recorded, or gathered by or from patients (or family members or other caregivers) to help address health concerns. It includes health history, treatment history, biometric data, symptoms, and lifestyle choices, among other information.

Big Data offers healthcare providers the opportunity to collect enough data to make an accurate and comprehensive diagnosis of the patient’s condition. Healthcare facilities are also providing more proactive care through real-time monitoring of patient symptoms. Patient data can be collected and analyzed in real time, allowing facilities to send alerts if something unusual or important is discovered.

The field of genomic research is seeing major developments due to Big Data/data analytics, which is generating large amounts of information to transform patient care to be personalized for the individual and aiding in the prevention of new diseases.


The retail industry is using Big Data analytics to form a strategic vision that maximizes competitive advantage, with a comprehensive understanding of customers, products, distribution locations, markets, and more. There are several use cases retailers are leveraging to develop new kinds of shopping experiences: 360-degree views of the customer, dynamic pricing across multiple channels, improved store layouts, social media analysis, brand sentiment measurement, product pipeline tracking (inventory management), and clickstream analysis to optimize e-commerce.

The Big Data era has only just emerged, and the value of these analytics can be applied to any aspect of business. Data is now everywhere in our world and is increasingly important to the success of companies in all industries.

Financial Services

Banks and the financial services industry are early adopters of technology compared with other sectors, and they’re using Big Data to provide insights into their customers’ behavior and operations.

Big Data can process massive amounts of unstructured and structured data from many sources, allowing companies to collect and analyze customer data. The financial industry relies on it for many purposes, including fraud detection, credit risk assessment, customer segmentation analysis, customer service improvement, and the development of new products and services for credit card holders, among others.

For example, fraud is one of the financial industry’s biggest challenges. Using Big Data analytics, financial institutions can recognize patterns and find anomalous activities in real time. Banks are also using data to define and create a more effective environment for marketing to customers, generating better customer segmentation analysis.


Like this story? Learn about the use of Big Data in athletics and how to harness max value from data in your enterprise.