In 2024, several emerging trends are shaping the landscape of analytical platforms. Here are some key trends to be aware of:

1. AI and Machine Learning Integration: AI continues to revolutionize data analytics by making processes faster, more scalable, and cost-effective. Predictive analytics and AI-driven decision-making are becoming more prevalent, helping organizations predict customer behavior, optimize operations, and personalize experiences at scale.
2. Natural Language Processing (NLP): NLP is transforming how organizations analyze qualitative data. It enables more effective customer sentiment analysis by processing large volumes of text data from surveys, social media, and support tickets. This technology is crucial for understanding customer needs and improving communication strategies.
3. Generative AI: This trend involves using AI to create new content, such as text, images, and even synthetic data. Generative AI tools, like ChatGPT, are being used to develop predictive models, simulate customer interactions, and enhance content marketing strategies.
4. Data Democratization: Making data accessible to a broader range of users within an organization is a growing priority. This trend supports the creation of "citizen data scientists" who can analyze data without extensive technical expertise. Tools for self-service data analytics are becoming more common, enabling non-technical users to make data-driven decisions.
5. Edge Computing: This approach involves processing data closer to where it is generated, which reduces latency and improves real-time analytics capabilities. It's particularly beneficial for IoT devices and industries requiring immediate data processing.
6. Augmented Analytics: Augmented analytics uses AI to automate data preparation, insights generation, and decision-making processes. This trend aims to make analytics more accessible and efficient, reducing the need for specialized skills and allowing users to focus on strategic tasks.
7. Data-as-a-Service (DaaS): This model provides data collection, storage, and analysis services via cloud computing on a subscription basis. It allows businesses to leverage vast amounts of data without significant infrastructure investments, making advanced analytics more accessible.

“Amidst this technological revolution, organizations that fail to make the transition and effectively leverage D&A, in general, and AI, in particular, will not be successful.”

Ramke Ramakrishnan, VP Analyst at Gartner.

(source of quote: https://www.gartner.com/en/newsroom/press-releases/2024-04-25-gartner-identifies-the-top-trends-in-data-and-analytics-for-2024)