Data, transformed into information, offers power that many organizations might not imagine. Others, however, are already harnessing it with strategic vision. When understood, analyzed and put into practice, information generates real value, guiding companies toward successful strategic choices. This is true for companies of all sizes, industries and departments. According to a Gartner report, in 2024, 61 percent of chief data and analytics officers (CDAOs) listed data quality management as a priority, up from 52 percent in 2023. A figure that highlights how data-related technologies and practices are still not being fully leveraged, and how advanced analytics is becoming critical to business success.
In this article we will look at the top 5 benefits that advanced analytics offers, today as well as in 2025, that belong to these areas:
- Strategic decision-making
- Optimization of internal processes
- Targeted segmentation
- Risk management
- Integration of AI and business intelligence
Strategic Decision Making
Advanced Analytics enables companies to make strategic decisions, even very quickly, based on hard data instead of hunches or assumptions (Data-driven decision making). Predictive analytics models can predict trends, customer behavior, and potential risks, enabling companies to make data-driven decisions that improve outcomes and minimize uncertainty and risks associated with poor choices. For example, anticipating changes in the market or to allocate resources more effectively (think of decisions related to weather events, but also the use of material on different production lines).
Internal process optimization
With Advanced Analytics, companies can optimize their internal processes, reducing operational costs, increasing efficiency and improving productivity. For example, predictive analytics can be used to anticipate and prevent problems in supply chains, prevent downtime due to failures, and prevent claims due to errors (Operational Efficiency and Cost Reduction). For example, in the detection of parameters to assess the trend in the probability of failure of a piece of machinery, on which to intervene in advance only before the failure occurs.
Targeted Segmentation
For example, in the area of marketing and sales, Advanced Analytics allow audiences to be segmented more precisely and personalized experiences for each customer (Personalized Customer Experiences). By tracking behavioral data, preferences and purchase histories, companies can offer personalized recommendations and more targeted communications, increasing customer satisfaction and loyalty. They also enable them to identify new trends and better understand emerging customer needs,, fostering innovation and thereby driving the development of new products and services, creating competitive advantages and anticipating market needs (Innovation and Competitive Advantage).
Management Risk
Advanced Analytics are an effective tool for identifying potential risks in real time, such as fraud, security breaches or financial problems, as they allow preventive measures to be implemented to ensure data protection and thus reduce operational and legal risks (Real-Time Monitoring and Improved Risk Management).In fact, they enable a marked improvement in risk mitigation and thus greater security and compliance with current regulations. This is the case with tools developed for various financial entities for the purpose of monitoring and intervening in real time when a potential criticality is realized.
AI and Business Intelligence. Integration
Specific applications of AI (e.g., text analytics) allow company-experts to spend more time on creating value for stakeholders and less on complicated business processes. Example,: documentation preparing or administrative paperwork.
Advanced Analytics is actually an evolution of BI, which not only analyzes past data, but is also able to make future predictions in real time. In addition, it is characterized by greater accuracy of answers, possibility of applying statistical models, and multiplicity of data sources that can be used.
Advanced Analytics: a priority adoption
In conclusion, values remain misunderstood until they are adopted and lived out in concrete ways. Over the past decade, many organizations have fallen behind because they have failed to evolve and embrace the inevitable change, both culturally and technologically. Meanwhile, competitors have been proactive, seizing every opportunity to grow. Adapting to technological progress continues to be a key factor in achieving this growth.. Sorint.TEK, Sorint.lab’s dedicated advanced analytics business unit, has realized this, but other data confirms it as well: in fact, according to a 2024 Gartner CDAO survey, a majority of respondents consider data-driven culture and change management (66%) and D&A governance, quality, and resources (68 percent) to be top priorities for 2025..