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9 Big Takeaways From Data Analytics This Year
- The global data analytics market is projected to exceed $140 billion by 2025, highlighting its crucial role in today's hyperconnected business landscape.
- Augmented analytics leverages AI and machine learning to automate key aspects of the analytics process, such as data preparation, insight generation, and explanation.
- Data governance is no longer just a theoretical priority — in 2025, it’s about implementing tools and strategies that embed governance into daily practices while unlocking AI capabilities.
- Python's versatility in tasks like data cleaning, manipulation, and machine learning make it a dominant player in the data analytics field.
- 80% of global data is unstructured, presenting challenges in storage and specialized tools like NLP and computer vision are needed to analyze it.
- NLP will reshape how users interact with data by making insights accessible to everyone, regardless of technical expertise and will empower faster, more informed decisions.
- Over 50% of analytics workloads predicted to transition to lakehouse platforms by 2025, which blend data lakes and warehouses for cost-effective scalability.
- Embedded analytics and real-time insights, replace reliance on standalone BI tools and enhance productivity by providing real-time decision-making capabilities.
- Explainable AI produces more understandable AI operations, enhancing trustworthiness and fosters user confidence.
- Edge computing processes data closer to its source, reducing latency for real-time analytics and critical for IoT-driven industries like healthcare and manufacturing.
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