The amount of data generated each second in the banking sector will grow 700 percent by 2020.

is based on predictions made around 2015 and widely discussed in industry reports. It reflects the exponential increase in data generation driven by digitization, mobile banking, and customer interactions across various channels within the financial services industry. This massive surge in data was expected as more customers began using digital services, electronic transactions increased, and banking operations became more automated.

Updated statistics show that data generation in the financial sector continues to grow, especially with the rise of real-time data processing and advanced analytics. For example, global data creation is projected to reach 181 zettabytes by 2025, and the banking sector remains one of the largest contributors to this data explosion due to its vast customer base and transaction volumes.

This trend is important because it highlights the need for banks to manage and analyze enormous volumes of data efficiently. Properly leveraging this data can improve customer service, operational efficiency, risk management, and personalization of services. However, the challenge lies in managing the volume, velocity, and variety of this data effectively.

A data consulting firm can help financial institutions in several ways:

Implementing Big Data Solutions: They can assist in deploying advanced data management tools, ensuring that banks can handle the volume and speed of data generated daily.

Analytics Strategy: A consulting firm can help develop a long-term data strategy, including using AI and machine learning to derive insights from data, optimize customer experiences, and detect fraud in real-time.

Data Governance: Consultants can also assist with data governance frameworks to ensure compliance with regulatory requirements while maximizing the value of big data.

By utilizing the expertise of a data consulting firm, banks can turn data challenges into opportunities for growth and innovation, staying competitive in an increasingly data-driven world.

• 55 percent of North American businesses have adopted big data analytics.
• In 2025, the IoT data analyzed and used to change business processes will be as much as all of the data created in 2020.
• Customer/social analysis is considered the second most important big data analytics use case, followed by predictive maintenance.
• 29 percent of investment professionals use expert networks to derive data.
• Only 16% of organizations can currently say that 75% or more of their employees have access to company data and analytics.
• 60 percent of businesses believe it is harder to source talent for data and analytics positions than for any other roles
• The amount of data generated each second in the banking sector will grow 700 percent by 2020.
• 90 percent of the world’s data was created between 2015 and 2016 alone.
• By 2025, the amount of the global datasphere subject to data analysis will grow by a factor of 50 to 5.2 zettabytes.
• 50 percent of businesses say data and analytics significantly impacted new entrants launching data and analytics businesses that undermine traditional competitors’ value propositions.