BigLittleRobots shares how their unique framework of data insights for the healthcare, finance, and consumer goods sectors revolutionizes how organizations make critical decisions with intelligence.
BigLittleRobots developed a methodology that produces rapid and profound analytical revelations known as “fast analytics.” When working with a new client, BLR’s team harmonizes data from various sources in a centralized platform built on a modern data infrastructure that enables efficient server performance and high integrity in data quality.
The approach ensures not just speed but depth of insight as well. They can accomplish in two to four weeks what would traditionally take a year to achieve. The combination of analytical data engineering, the application of software engineering and product management best practices to the data domain, and industry expertise bridges the gaps that currently exist in IT departments.
According to Elias Wehbe, Co Founder, data quality is a top priority at BigLittleRobots. Fast analytics also relies on the implementation of rigorous testing protocols to ensure the usability and reliability of data and data models.
“Analysts are used to building data models using tools like Microsoft Excel, downloading data and integrating it into models and pivot tables. None of this is built into repeatable functionality with quality assurances,” says Wehbe. “The software engineering approach we use to build data solutions leads to much higher quality data being presented to our clients, and they can have better trust in the data we provide them.”
Wehbe says there are three pillars that BigLittleRobots utilizes to deliver best-in-class data solutions.
“We are very advanced with technology, we have a very strong understanding of business requirements and think strategically and we focus heavily on design, which enables us to build data products that can be used and understood by our clients,” says Whebe.
Data that BigLittleRobots collects for the consumer goods industry can be used to determine wastage, out of stock products, inefficiencies in production, manufacturing schedules and much more. For the healthcare industry, some of the primary focuses that the data is used for centers around prescriptions by doctors and the side effects medications are having, the latest therapies being administered and inequities in healthcare. When working to provide data for their clients in the finance industry, BigLittleRobots mainly identifies investment opportunities.
BLR’s ultimate goal is to empower organizations with intelligent automated data systems that provide quick insights and predictions that fuel their success.They envision a future where businesses can navigate complex challenges with ease, armed with real-time data-driven decisions that enhance efficiency and profitability. BigLittleRobots seeks to revolutionize industries by making data not only accessible but also actionable, ensuring that organizations are not just equipped to adapt to change but also thrive in a rapidly evolving landscape. In an era where data is the lifeblood of decision-making, BLR’s commitment to delivering high-quality, fast analytics empowers organizations to stay ahead of the curve, driving innovation and ultimately shaping a more prosperous future for their clients and partners.
