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.

• Analytics leaders are nearly twice as likely as others to report enacting a long-term strategy to respond to changes in core business practices.
• By 2025, 60% of the 163 zettabytes of existing data will be created and managed by enterprise organizations.
• Only 7% of marketers surveyed report that they are currently effectively able to deliver real-time, data-driven marketing engagements across both physical and digital touchpoints.
• The number of IT professionals using descriptive and predictive analytics grew from the mid-40th percentile to high 60th percentile between January 2018 and January 2019.
• Nearly 50 percent of businesses say big data and analytics have fundamentally changed business practices in their sales and marketing departments.
• 73 percent of businesses consider Spark SQL critical to their analytics strategies as a big data access method.
• 21 percent of investment professionals use web traffic to derive data.
• 36 percent of investment professionals use web scraping to derive data.
• 83 percent of enterprise executives say they’ve pursued big data projects to gain a competitive advantage.
• 30 percent of businesses consider the Spark software framework critical to their big data analytics strategies.