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Natural language processing: Simplify access to insights for non-technical users

In the ever-evolving landscape of information, gaining swift access to relevant insights has become a critical competitive advantage. However, traditional data analytics tools and dashboards often require significant technical expertise, creating barriers for non-technical users and hindering the widespread adoption of data-driven decision-making.

This is where natural language processing (NLP) comes into play, revolutionizing the way organizations interact with and consume insights. By leveraging NLP, innovative AI solutions enable users to retrieve insights using everyday language, eliminating the need for complex queries, prompt engineering, or coding skills.

A look ahead at the market

According to a report by MarketsandMarkets1, the global natural language processing market is expected to grow from USD 18.9 billion in 2023 to USD 68.1 billion by 2028, at a Compound Annual Growth Rate (CAGR) of 29.3% during the forecast period. This growth is driven by the increasing adoption of NLP across various industries, including healthcare, retail, and finance, as organizations seek to simplify data access and enhance decision-making processes.

With NLP-enabled insights platforms, users can simply ask questions in natural language, such as "What was our market share in Europe last quarter?" or "Which customer segments are most likely to churn?" The platform's NLP capabilities then interpret the query, retrieve relevant data from various sources, and present the insights in an easy-to-understand format.

This approach not only democratizes access to insights but also fosters a data-driven culture across the organization. By empowering non-technical users to explore and leverage insights independently, NLP solutions cultivate a shared sense of ownership and accountability for informed decision-making.

Furthermore, NLP-powered insights platforms can integrate seamlessly into existing workflows, bringing relevant information directly to the point of decision-making. For example, a sales manager preparing for a client meeting can quickly retrieve the latest version of the client's purchase history, product preferences, and service interactions, all within the context of their customer management workflow.

As the demand for data-driven decision-making continues to grow, natural language processing will play a pivotal role in simplifying access to insights for non-technical users. By breaking down technical barriers and fostering a culture of data literacy, NLP-enabled solutions empower organizations to unlock the full potential of their data assets, drive innovation, and gain a competitive edge in an increasingly data-driven world.

Read more about how you can democratize insights across your organization in our most recent white paper.


Sr. Customer Success Manager @ Qatalog
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