Democratizing data: Revolutionizing analytics for decision-makers

Self-service analytics has been a long-standing goal in the analytics industry, but it has not quite lived up to expectations. While operational users like store managers, sales staff, and production planners have had their data needs met with pre-configured dashboards and reports, strategic users such as CEOs and CFOs face a unique challenge. Constantly navigating through evolving opportunities and issues, they struggle with changing data requirements that are not always easy to predict. This often leads them to rely on IT departments or business analysts to provide the customized data views they are looking for, revealing a gap in the services offered by the analytics industry.

In the last year, we believe inmydata has emerged as a transformative force in this space, leveraging Large Language Models (LLM) to finally deliver on the long-awaited promise of true self-service analytics. Now, with inmydata copilot, when those strategic users need that vital piece of information at short notice they can simply ask for it, using natural language, and get a response in seconds. Gone are the days of waiting for a data scientist to schedule their task or navigating through unfamiliar option screens to configure their request. Strategic users now have the power to effortlessly ask a question and instantly receive both the answer and a visually engaging chart, all within seconds.

This ground-breaking innovation represents a seismic shift in the analytics landscape by democratizing data analysis. By providing a user-friendly interface that allows non-technical users to effortlessly access and interpret complex data, inmydata is empowering decision-makers at all levels of the organization. Not only does this revolutionize the decision-making process, but it also streamlines operations by reducing the reliance on specialized data analysts. This newfound accessibility to critical insights paves the way for a more agile and responsive approach to tackling business challenges.

Ultimately, this marks the dawn of a new era in analytics where data-driven decision-making is no longer a privilege reserved for the technically adept but a fundamental tool for all individuals shaping the future of their organizations.

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