Harness the Power of Data Engineering

Our Data Engineering practice revolves around an innovation-driven framework primed for scalability that extends beyond the present needs of an enterprise. By delivering personalized solutions, we ensure that all our clients make the best use of their enterprise data with a focus on cost-efficiency and seamless implementation.

The cloud plays a pivotal role in empowering data-driven innovations. At MathCo, we possess extensive knowledge of the cloud, enabling us to collaborate with global enterprises and build robust analytics platforms that leverage the full potential of cloud computing. Our range of services includes data warehousing, custom product deployment, end-to-end data pipeline creation, resource provisioning, security management, and more. With our proprietary cloud cost monitoring tools and frameworks, we also ensure our clients can design cost-effective cloud solutions that fit their budgets perfectly.

Strategic application of data offers a competitive advantage to modern-day enterprises. Our wealth of experience with various data and reporting platforms perfectly positions us to help clients migrate from legacy tools to scalable business intelligence platforms. We also assist our clients in establishing a Center of Excellence (COE) for their reporting endeavors. Using our proprietary frameworks and accelerators, we ensure that businesses derive optimal value while delivering a swift onboarding experience.

MLOps is redefining model deployment and management. By placing MLOps at the core of every analytics project, we follow a foundational approach to construct and expand machine learning models. Our expertise extends across various managed and open-source tools, such as GCP Vertex AI, AWS Sagemaker, Databricks, Azure ML Studio, and more. We have also set up an internal MLOps COE to ensure that each machine learning project is developed with scalability in mind and to optimize other crucial aspects like project initialization, deployment to model governance and monitoring, drift detection, and more.

When data becomes universally accessible within an organization, guided by well-defined parameters, decision-making becomes rapid and effective. MathCo believes in this principle and strives to empower global enterprises with data-driven decisions. Our expertise includes creating tailored data products designed for distinct use cases. We also take special care in infusing our technical prowess throughout the entire product lifecycle, from conceptualization and development to rigorous testing and seamless deployment. This commitment ensures that data becomes a valuable asset, contributing to the organization's success.

For companies embarking on a digital transformation journey, it is important to manage and govern their data. Our strength lies in creating efficient data pipelines with an emphasis on data operationalization through the application of Data Governance principles, layers of Data Observability, and a comprehensive solution scale to maintain the highest data quality and integrity. We have also developed a proprietary Data Quality accelerator that is readily deployable and designed with a smart rule detection engine for addressing the requirements of both business and technical aspects, enhancing the reliability and trustworthiness of data operations.

Data is the lifeblood of modern-day businesses, and ensuring its consistency and reliability is paramount. At MathCo, we specialize in establishing and scaling up pre-existing master data management (MDM) solutions. We have a proven track record showcasing the effective deployment of MDM solutions in different customer domains while prioritizing crucial aspects such as Data Governance, Data Modeling, Data Quality Management, Identity Resolution, and much more.

Data platforms are crucial for global enterprises to unleash the power of data. We are experts in crafting and optimizing data platforms tailored to accommodate diverse data volume levels. Using our innovative tools, methodologies, and accelerators, we build data platforms with a product-oriented perspective for ensuring scalability to meet evolving requirements. We have successfully implemented several cutting-edge solutions like Data Mesh, Data Fabric, C360, CDMs, and more, all of which have empowered our clients to excel in their data-centric initiatives.

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Keep Up with MathCo

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Real-Time Streaming Analytics for Faster Decision-Making

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The World of Data Products

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Healthcare & Life Sciences

Architecting MLOps Solutions for Healthcare

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Our Experience

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Preventing Revenue Loss through Data Discoverability Tool

Operational efficiency and organizational success hinge on a unified data management system. As the volume of data generated grows exponentially, managing this substantial information load can quickly become overwhelming for global enterprises that are still relying on legacy systems and outdated IT infrastructure.

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Standardizing Machine Learning Operations and Development

The absence of a unified approach for data science and machine learning projects, the presence of repetitive steps within each of them, and the lack of reproducibility have negatively impacted their timelines, causing many of them to fail.

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Optimizing an End-to-End Analytics Platform

An end-to-end data platform helps retailers derive accurate and quick insights for optimizing personalization, operations, merchandising activities, and more. However, they require data engineering and MLOps experts to develop a robust solution that can make this platform time- and cost-effective.

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Meet Our Experts

Take the next step towards excellence with our leaders

Varun Saraogi

Principal

Sreeharsha Naik

Principal

Pawan Vadulas

Principal

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