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Advanced Analytics Services

At SGA, we are committed to providing advanced analytics solutions where we take our analytical collaboration to the next level.

Advanced Analytics Services
What We Offer
Why SGA
Insights
Who We Work With
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NAVIGATE

Blogs | How is the Media and Entertainment Industry Leveraging Big Data Analytics for Disruptive Growth?

Leverage Advanced Analytics Solutions to Extract Valuable Insights

SGA's analytics team brings the data operations team data science and ML experts who are proficient in big data and ML tools and frameworks, including Python, R, TensorFlow, Keras, Pytorch, Databricks, Spark, Azure Machine Learning, and Amazon Sagemaker. We develop OCR- and NLP-based ML pipelines using our advanced analytics services to extract valuable insights from unstructured data across core data sources, such as financial data, reports, earnings summaries, and social media platforms.

Collaborating with Advanced Analytics Consulting Company to Drive Future Growth

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

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What We Offer

Predictive Analytics

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 such as 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

Computer vision tasks, including 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.

Applied Data Science

Model deployment on edge devices/cloud/on-premises servers, involving environment setup, containerization, latency testing, multiprocessing, and model optimization.
Model lifecycle management involving 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.

Risk Analytics

We develop credit lifecycle models (application behavior and collection) using explainable and robust ML algorithms like XgBoost and LightGBM.

We design 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 the model development and deployment lifecycle to 8–12 weeks.

Why SGA

Capitalizing on our Expertise

Our predictive analytics solutions enable us to assist our clients in making the right decisions as well as improving their profitability and market share.

Driving Business Objectives

Leverage data science solutions to improve our customer experience, enabling us to deliver the best business results.

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Who We Work With

Chief Analytics Officer and Chief Data Science Officer

We help drive data-driven decisions through the extensive use of analytics

Chief Analytics Officer and Chief Data Science Officer

We help drive data-driven decisions through the extensive use of analytics

Insights

Role of Data Analytics in media entertainment

White Papers

Role of Analytics in Making Better Content Decisions

In today's digital world, viewers hold the power in business. It is all about presenting consumers with the best offering, about them dictating the...

White Papers

How Can You Improve Your Content Promotions on Social Platforms?

Social media is an influential medium to promote a brand's product or service. Social media platforms allow users, whether individuals, influencers, or...

White Papers

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...

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CASE STUDIES

We Enhanced Our Client’s Pre-/Post-merger and Acquisition Performance Tracking, Boosting Its Effectiveness

How We Conducted Analysis of YouTube Video Thumbnail Performance and Identified the Impact of Characters and Background on Click-Through Rates (CTR) for a Media Conglomerate

How We Leveraged Sentiment Analysis to Analyze the Voice of Customers for Clients & Gain a Comprehensive Understanding of Competitor's OTT Content

How We Helped in Enhancing Social Media Content Performance and Provided Insights on Improving the Promotional Strategy

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