At SGA, we place a strong emphasis on offering sophisticated analytics solutions that strengthen our analytical collaboration.
The analytics team at SGA assists in enhancing the data operations team’s skills with data science and ML experts who are well versed in big data and ML tools and frameworks, such as Python, R, TensorFlow, Keras, Pytorch, Databricks, Spark, Azure Machine Learning and Amazon Sagemaker. Using our advanced analytics services, we build OCR- and NLP-based machine learning pipelines to assist in extracting valuable insights from unstructured data across core data sources, including financial data, reports, earnings summaries and social media platforms.
Our advanced analytics solutions help us maximise the client’s ability to make data-driven decisions by building advanced ML models using relevant data in different contexts basis our clients’ domains like BFSI, Media and Entertainment, Technology and Manufacturing.
Why SGA
Capitalising on our Expertise
SGA’s predictive analytics solutions enable clients to proactively make the right decisions and enhance their profitability and market shares.
Driving Business Objectives
Leveraging data science solutions assist in enhancing our customer experience and delivering the best business outcomes.
Whitepapers
Engineer Data in a Meaningful Way
The capacity to engineer and utilize data in a meaningful way is crucial in the quickly developing field of financial technology (fintech). In the swiftly...
Whitepapers
The Education Sector Embracing ChatGPT: Boon or Bane
The advancement of technology is augmenting the demand for AI in the education sector across the globe, which is directly impacting the penetration of...
Whitepapers
Personalization of learning by EdTech
The integration of educational technology (EdTech) into traditional classrooms has revolutionized the way students learn and interact with educational...
CASE STUDIES