Data Analytics – Power to Solve Real Business Problems
Our data & analytics expertise helps organizations solve real business problems. We deliver business value to software companies trying to infuse data science within products, and to enterprises attempting to uncover data-driven decisions. Our deep technology expertise across the complete data analytics process, multi-disciplinary teams and unique solution-based approach make us a preferred technology partner of choice for data analytics Services
Our Data Analytics based Solutions Approach
We believe the real power of data is appreciated when we move from data to insights to decisions and actions. Our solutions-based approach helps us focus on the problem we are trying to solve. The solution could be simple descriptive analytics where we present the data in an “easy to consume” format, or we could move a step further and add more intelligence through diagnostic, predictive or prescriptive capabilities built-in machines with automation. We find the best fit solution to the problem using underlying data, cloud and analytics technologies, and help organizations craft strategies that yield results.

Our Data Analytics Approach

Data Analytics, AI and ML Services
Our data analytics, AI and ML services span across the complete data science process. Right from data acquisition to decision and automation, our services help organizations remove the technology and talent-barrier for our clients
Ensuring the data architecture is in place to support the business, involves end-end view from data acquisition, processing pipelines, ML models to model deployment and monitoring in production. Also, data governance aspects including auditing, lineage, and regulatory compliances need to be incorporated. Often tradeoffs are needed between the ease of adhoc data access that a data scientist needs vs governance. We can help identify and resolve these architectural issues in an evolutionary manner to improve the efficiency of operationalizing the data science team’s work.
Data Engineering
Our data engineering services help you manage Big Data with high throughput and low latency. We have a broad know-how of IT tools and techniques, including warehouses, NoSQL, stream-processing and distributed computing systems to help store and analyze data most efficiently and cost-effectively. We also work closely with our resident IoT experts to extract data from machines atop various protocols.
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Our Tools, Functional Expertise, and Techniques Makes Us Unique Multidisciplinary Functional Expertise
Latest at GS Lab
Case Study
25% Reduction In Peak Power Consumption With Predictive Insights
Our data science driven solution enabled a supply chain & logistic leader to make data backed decisions supported by real-time intelligence. Granular insight into energy usage generated online & offline recommendations to optimize storage and mixing of bulk liquids.
Case Study
Harnessing Voice Samples To Diagnose Health Issues Using Data Science
Our next-generation solution enabled a leading platform to diagnose medical conditions using a person’s voice as a biomarker. The ‘discovery time’ for creation of data science models which could screen newer ailments was reduced from months to weeks through automation.
eBook
Bridging The Gap Between Data Science And The Production Environment Through Inference Bridge
This eBook takes a look at the various approaches available to seamlessly integrate the modelling and engineering phases of MLOps. It also illustrates our innovative solution called the Inference Bridge which closes this gap for faster end-to-end iterations and greater return on investment..

EBook
Inference Bridge – Simplifying MLOps
Our Innovative solution in MLOps which helps bridge the gap between data science and production environment.