TheMathCompany, Illinois-headquartered leading global data analytics and engineering firm has emerged as a Product Challenger in the ISG Provider LensTM – Analytics Services, US 2022 report for Data Engineering and Data Science Services. This report evaluates data engineering and analytics service providers’ strengths, challenges, market presence, and competitive differentiators such as combining domain knowledge and expertise in the client’s industry, thereby enabling clients to experience a substantial, data-driven business growth.
According to the report, TheMathCompany’s sweet spot is its hybrid consulting approach that seamlessly combines its IP and professional services. This enables clients to drive tangible enterprise value from data by leveraging highly nuanced and intelligent AI accelerators. The report states that the company is committed to delivering solutions for the entire analytics lifecycle, with a focus on building robust data solutions that drive the right business decisions with simplified and precise data insights, along with speed and scale.
Anuj Krishna, Co-founder & Chief Product Officer, TheMathCompany, said, “Advanced data engineering and governance capabilities are essential for enterprises looking to generate timely insights. At MathCo, our approach is engineered to enable our clients to build more self-sufficient data & analytics programs. Our position in the ISG Provider Lens™ Quadrant Study is a testament to our vision and strategic initiatives to deliver excellence in this space.”
Gowtham Kumar, Senior Manager & Principal Analyst, ISG, said, “TheMathCompany’s capability to offer a comprehensive full stack data portfolio infused with customer-centric design principles, enables enterprises to solve their complex business problems and adopt a long-term data strategy. TheMathCompany’s approach of custom product development through Co.dx platform combined with strong delivery model through SMEs and talent-focused investment help deliver end-to-end data transformation including abstracting context from the business challenges, data engineering and user experience-led last-mile delivery.”