Enterprise analytics consists of collecting, processing, analyzing, and visualizing analytics data to help organizations transform it into insights and make informed business decisions. The process involves applying multiple data analysis techniques and tools to understand complex datasets and uncover patterns.
Any large business that manages massive datasets can use enterprise analytics. The influx of available data and the need for increased agility have made it an essential component of modern business operations. With enterprise analytics, companies can stimulate business growth, improve efficiency, enhance decision-making, and drive better financial results.
Organizations using enterprise analytics are better equipped to navigate challenges, take advantage of emerging opportunities, and make decisions related to business growth, employee satisfaction, and customer experience. Enterprise analytics lets companies better understand their processes. By analyzing historical and real-time data, they can uncover trends, patterns, and correlations and use them to make more accurate choices.
Organizations can use enterprise analytics platforms that contain all the necessary components to collect, visualize, and apply their data insights.
Enterprise analytics
-
Norwegian DPA warns against EU-US data transfers – what it means for your website analytics
If your company relies on Google Analytics or other US-based analytics tools, you may soon be putting your data compliance at risk. In February 2025, Norway’s Data Protection Authority (Datatilsynet) issued new guidance on data transfers to the United States, highlighting growing concerns about the legal framework supporting these transfers – the EU-US Data Transfer…
-
25 years of digital analytics with Brian Clifton: The real challenge for the future is to make sense of data
Organizations are becoming more and more aware of data-driven strategies, so understanding the complexities surrounding data quality, privacy, and technological advancements becomes crucial for their future success. They also need to rely on new tools, often supported by AI, to adapt to changes in the digital analytics field. Dive into the fourth and final episode…
Other definitions
Recent posts from Piwik PRO blog
- Norwegian DPA warns against EU-US data transfers – what it means for your website analytics
- 25 years of digital analytics with Brian Clifton: The real challenge for the future is to make sense of data
- Is Google Analytics HIPAA-compliant?
- Everything you need to know about the New York Health Information Privacy Act (NYHIPA)
- Navigating the Norwegian E-Com Act 2025: How it Impacts Web Analytics and What Steps You Should Take
- Customer Data Platform is now available for all Piwik PRO users
- Unlock the power of customer data: A Piwik PRO data activation playbook
- Server-side tagging use cases: How can you benefit from data stream consolidation