59 percent of executives say big data at their company would be improved through artificial intelligence (AI).

It comes from studies conducted by PwC and reflects the growing belief among business leaders that AI can significantly enhance the management and use of big data within their organizations​. This view is supported by the recognition that AI can improve processes like data analysis, pattern detection, and decision-making, making it easier to derive value from the vast amounts of data businesses collect.

The importance of this statistic lies in the fact that many companies struggle to fully capitalize on their big data investments. The tools and methods to extract insights from data have often been immature or difficult to scale. AI can bridge this gap by automating complex analytics tasks, improving data quality, and enabling more accurate predictions, helping organizations make data-driven decisions faster and with greater precision​.

A data consulting firm can assist companies in this area by implementing AI solutions tailored to their specific needs. These firms can help integrate AI tools to streamline data processes, improve data governance, and ensure that data is prepared for AI use. Additionally, data consultants can provide the expertise needed to align AI initiatives with business goals, ensuring a higher return on data investments. They can also support organizations in overcoming challenges such as data silos, incomplete data, or bias in data, which are critical for successful AI implementation​

• Customer/social analysis is considered the second most important big data analytics use case, followed by predictive maintenance.
• Only 16% of organizations can currently say that 75% or more of their employees have access to company data and analytics.
• More than 150 zettabytes (150 trillion gigabytes) of data will need analysis by 2025.
• In a survey of approximately 700 business professionals, only 15% said their organization is currently very effective in delivering a relevant and reliable customer experience. In the same survey, only 3% of respondents said they are able to act on all of the customer data they collect; 21% say they can act on very little of it.
• 45 percent of companies run at least some big data workloads in the cloud.
• 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.
• 73 percent of businesses consider Spark SQL critical to their analytics strategies as a big data access method.
• 50 percent of businesses say data and analytics significantly impacted new entrants launching data and analytics businesses that undermine traditional competitors’ value propositions.
• More than 30 percent of businesses say big data and analytics have fundamentally changed business practices in their research and development departments
• 21 percent of investment professionals use web traffic to derive data.