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Advanced Analytics Services

At SGA, we are focused on providing advanced analytics solutions where we take our analytical partnership to the next level.

Blogs | An Ultimate Guide: Business Intelligence in Data Analytics

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Employing Advanced Analytics Solution to Build Intelligent Applications

At SGA, our analytics team enhances 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 help our clients across the USA and other parts of the globe to extract valuable insights from unstructured data across core data sources, including financial data, reports, earnings summaries, and social media platforms.  

Advanced analytics consulting for growth 

Our advanced analytics solutions help us in maximizing our client’s ability to make data-driven decisions by building advanced ML models using relevant data in different contexts as per our clients’ domains like BFSI, Media and Entertainment, Technology, and Manufacturing. 

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Advanced Analytics Consulting Services

What We Offer

  • Classification and regression models using explainable and implementable advanced ML models like XgBoost, LightGBM, and decision trees  
  • NLP tasks such as text classification (multi-label), translation, and topic modeling  
  • Training state-of-the-art models (BERT-based models, such as Distil Bert and Roberta, and GPT-based models like Latent Dirichlet Allocation) on cloud/on-premises environments, utilizing libraries such as NLTK, Gensim, Spacy, and TensorFlow  
  • Recommendation systems involving content-based filtering, collaborative filtering, and hybrid algorithms  
  • Time series analysis and forecasting using ARIMA, LSTM, TFT, DeepAR, and other suitable techniques  
  • Making use of Churn Attrition models to identify the risk of attrition accurately based on past data and profiling them into micro-segments to run promotional campaigns accurately to improve customer retention
  • Computer vision tasks like image classification, object detection, and object tracking  
  • Training state-of-the-art models (YOLOv5, resnet50, VGG-16, and SORT) utilizing OpenCV, PyTorch, Keras, and TensorFlow
  • Model deployment on edge devices/cloud/on-premises servers, which involve environment setup, containerization, latency testing, multiprocessing, and model optimization  
  • Model lifecycle management involves experiments tracking, monitoring (KPI drifts), and managing API endpoints on cloud/on-premises environments using MLOps tools (MLFlow, TensorFlow serve, and Kubernetes) 
  • Performing clustering analysis using density-based clustering and hierarchical clustering, with appropriate distance measures 
  • Network analysis with Markov chains and BFS/A* search techniques 
  • Market survey designing using fractional factorial design and analyzing results of choice-based conjoint/max different surveys using hierarchical Bayesian models to determine individual and group utilities of the options
  • We develop credit lifecycle models (application behavior and collection) using explainable and robust ML algorithms like XgBoost and LightGBM 
  • We create intelligent features using Bureau and other alternative data sources. We bring decades of credit risk management expertise across product lifecycles and geographies 
  • We help reduce model development and deployment lifecycle to 8–12 weeks

Why SGA

Capitalizing on our Expertise

Our predictive analytics solutions have enabled our clients to proactively make the right decisions and improve their profitability and market shares.

Driving Business Objectives

Leverage data science solutions to enhance our customer experience enabling us to deliver the best business outcomes.

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Who We Work With

Insights

media and entertainment services

Whitepapers

Engaging Your Viewers With ‘Context’

The increased consumption of digital media content in the wake of the pandemic has led to the rise of the era of contextual advertisements. A data-driven...

COVID & Tech

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The COVID Tech Tango- Sparks Flying but Wheres the Money Headed?

SG Analytics conducted a survey of 200 key IT decision-makers in the US across the Banking and Financial Services, Healthcare, Retail, and TMT sectors to...

Data Analytics in Retail

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Leveraging Data Analytics in Retail

Retail has undergone digital transformation involving almost every business function. Being multichannel has become a norm as opposed to a differentiating...

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CASE STUDIES

How We Helped a Leading Automotive OEM Enhance its ADAS With an Automated Parking Space Detection Solution

We Enabled Our Client to Gather Audience Intelligence Around Their and Competitor’s OTT Content Enabling Better Marketing Strategies

We Deployed Custom Business Intelligence (Bi) Solution for Our Retail E-Commerce Seller to Make Traditional, Manual Processes Leaner and Faster

How We Built a Usage Analytics Solution for Our Client, a Leading Financial Service Provider​
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Talk to our Experts

We bring you a team of experienced data analytics experts with best-in-class expertise in data management, engineering and visualization.

Rohit Ratkal

Vice President - Data Analytics

Ambrose Wong

AVP - Data Engineering

Pradeep Kumar

AVP - Data Engineering

Nagmani Sinha

AVP - Data Analytics for Media and Entertainment

We use data to power your brand with the best analytics that you can find.