Predictive Analytics Archives

Blog Tags: Predictive Analytics

Implementing Context Graphs: A 5-Point Framework for Transformative Business Insights

This comprehensive guide outlines three phases: establishing a Knowledge Graph, developing a Connected Context Graph, and integrating AI for auto-answers. Learn how this framework enables businesses to connect data points, discover patterns, and optimize processes. The article also presents a detailed roadmap for graph implementation and discusses the integration of Large Language Models with Knowledge Graphs.

Connected Context: Introducing Product Knowledge Graphs for Smarter Business Decisions

Explore how Product Knowledge Graphs, powered by Neo4j, are reshaping data analytics and decision-making in complex business environments. This article introduces the concept of Connected Context and illustrates how businesses can harness graph technology to gain deeper insights, improve predictive analytics, and drive smarter strategies across various functions.

When Opportunity Calls: Unlocking the Power of Analytics in the BPO Industry

The BPO industry has embraced analytics to optimize profitability, efficiency, and customer satisfaction. This blog delves into the specifics of data utilization, unique challenges, and key business areas where analytics can make a difference.

A Brief Guide: Managing Strategic Risks with Data Science

Utilize data science to manage strategic risks in business operations through predictive analytics, risk modeling, and data-driven insights. Find out how you can support informed decision-making and enhance risk management practices with cutting-edge data science tools.

Demystifying Election Predictions: The Art and Science of Forecasting

Examine how data science techniques can predict election outcomes and explore the basics of Psephology, the science of election forecasting. Find out how the Tiger Analytics team has adapted and enhanced these techniques for the Indian context, including the innovative use of a ‘Poll of Polls’ approach.