In the space of enterprise AI and analytics services, success hinges on efficiently solving customer problems while ensuring scalability of the solution. Traditional approaches to problem-solving through either services, products, or platforms can often fall short in demystifying complex challenges.
When understanding and addressing customer challenges, we’ve learned that not all problems demand cutting-edge, intricate solutions. Sometimes, the most impactful solutions are simple, user-friendly, and tailored precisely to specific business needs. At MathCo, we strive to deliver impactful solutions through our hybrid model by seamlessly integrating human expertise, product customization, and platform transparency into cohesive strategies.
The Hybrid Model: Integrating Strengths
MathCo’s hybrid model utilizes the expertise of skilled professionals in innovation, technology, and domain knowledge. It combines this expertise with intelligence accelerator platforms like NucliOS that feature customizable, reusable modules, integrating business insights for comprehensive coverage.
The hybrid model attempts to combine the strengths of the different models out there which are used to solve problems – the flexibility and customizability of services, the scalability and speed of products, and the transparency and control of platforms.
This hybrid approach has been our approach to helping many organizations build robust decision-making capabilities adaptable to their operational contexts.
Building Self-Sufficiency in Decision Making
In today’s data-driven landscape, we believe organizations need to be self-sufficient in their decision-making process. his requires an inbuilt capability that comes only with connected intelligence. This entails embedding these capabilities deeply into core business functions, achieved through a thoughtful balance of standardization and customization.
Enterprises invest in analytical products to reduce additional spending, avoid incorrect forecasting, and eliminate operational inefficiencies—essentially to help the enterprise save or make money. However, if these data and analytics products and solutions end up increasing costs, their value is negated. The only way to ensure a solution’s effectiveness is through proper adoption, scalability, and reusability. This is where the hybrid model comes into play.
A core strength of the hybrid model is that it combines experts who understand your business and its challenges with scalable products/assets on a platform that accelerates production. Standardized reusable modules provides a stable foundation for rapid deployment and consistent performance, while customization tailors solutions to seamlessly meet specific organizational needs.
Real-World Impact
The effectiveness of the hybrid model is evident in practical applications and here are a few examples –
Demand Forecasting in Retail: Addressing challenges in demand forecasting for Stock Keeping Units (SKUs), MathCo developed a custom tool that enhances precision and allows for granular SKU categorization, meeting specific client needs effectively.
Revenue Growth Management for a Large CPG Organization: Streamlining the inefficient RGM process for a major Consumer Packaged Goods company, MathCo’s suite of tools optimized efficiency and fostered synergies within the organization.
The Evolution of the Hybrid Model
Refining the hybrid model has been a journey of continuous improvement and adaptation. Initially focusing on standardizing code-building processes, we expanded to develop more sophisticated, consistent visualization tools to better meet client requirements.
However, the dynamic nature of innovation at MathCo means ongoing refinement and adaptation to meet evolving client needs. Collaboration remains central to our approach, bridging technology experts, domain specialists, and business stakeholders to ensure alignment towards common goals and optimal outcomes.
With the success that we have experienced with the hybrid model, we believe that this represents the future of AI in enterprise decision making, combining the best elements of services, products, and platforms to deliver scalable, bespoke solutions that can help leading corporations realize self-sufficiency.
The way forward remains that we focus on finding the best and most efficient way to find solutions for our customer challenges, and that requires us to be agile and experimentative.
Anuj Krishna
President of Technology and Growth at MathCo
Anuj Krishna is a seasoned leader with nearly two decades of experience in crafting and implementing analytics, data science, and engineering projects for prominent global enterprises spanning various industries that unlock the full potential of organizational data. Anuj has played a vital role in defining processes and standards for analytical problem-solving, now widely adopted by leading Fortune 500 enterprises. He was engaged in developing MathCo’s proprietary AI-powered platform, NucliOS, showcasing his commitment to innovation.
As the President of Technology and Growth at MathCo, Anuj takes charge of the Innovation, Sales, and Marketing charter. His leadership is marked by a commitment to staying at the forefront of the ever-evolving technological landscape, ensuring MathCo continues to thrive in its pursuit of excellence and growth. As a passionate brand builder, he also leads the branding and positioning efforts, contributing to MathCo’s distinct identity in the market.
