Resources

This document highlights the challenges organizations face in leveraging data analytics and the benefits of adopting modern data analytics based on search and self-service capabilities. It emphasizes the need for bridging the gap between data and insights to enable better decision-making. The text discusses the difficulties business users encounter in mastering analytics, the disconnect between data and decision-makers, and the time sensitivity of extracting insights from data.

Understand the “what, why, and how” of data, improve time-to-insight by 90%, and reduce TCO by 10x with MachEye’s Intelligent Search, Actionable Insights, and Interactive Stories.

MachEye redefines analytics by empowering business users with self-service capabilities to ask limitless questions in simple language, without technical skills. Using MachEye’s powerful APIs, search analytics can be easily embedded in existing systems to extract decision intelligence.

Aviso’s users can now make informed decisions by conversing naturally with real-time data. By integrating MachEye’s powerful analytics capabilities, Aviso saved significant time and costs that were earlier spent in engineering iterative reports and dashboards.

This ebook explains how augmented analytics would aid in the discovery of hidden insights, the prediction of outcomes, and even the prescription of solutions. This ebook would also explain how an enterprise can go beyond augmented analytics with 'what, why and how' analysis on data.

Eltropy empowered its customer success managers with instant actionable insights by embedding MachEye's intelligent search into their customer metrics portal.

MachEye connects to Snowflake with its prebuilt data connector to deliver an intuitive search experience, AI-powered intelligence and interactive stories for data analytics. MachEye enables all organizations to easily connect to Snowflake and empowers every enterprise user to explore and unlock data value.

"We were getting more demand than ever to fill the gaps created by new learning challenges.” Thinkster’s business analysts needed a simple, flexible solution to display operational metrics as charts and visualizations, coupled with the ability to answer ad hoc questions. Thinkster turned to MachEye for better and faster insight discovery.

Organizations worldwide are aiming to base the DNA of decision-making on data and insights, across all departments and employee hierarchies. With traditional BI tools straining under the pressure of ever-increasing data, it’s time to bring the benefits of AI to BI. MachEye’s decision intelligence platform leverages AI as an architecture to bring cutting-edge analytics to every business user in a personalized and engaging way.

How do you make data more consumable? This paper highlights the future direction of analytics, including: Scaling analytics tools beyond analysts to regular non-technical business users, leveraging a combination of home-grown and open source machine learning models to automatically surface and deliver business insights, and interacting with data through natural language audio-visuals instead of creating more reports and dashboards