Predictive Analytics Archives

Blog Tags: Predictive Analytics

Leveraging Customer Digital Twins to Drive Hyper-Personalization: A Strategic Roadmap for Retail and CPG Leaders

Customer Digital Twins (CDTs) are fast replacing static segmentation in retail and CPG with privacy-first, real-time customer models that let you simulate behavior, test campaigns, and predict outcomes at the individual level. Read the blog to know more about how to build and scale CDTs responsibly, balancing personalization with trust.

How to Simplify Data Profiling and Management with Snowpark and Streamlit

Learn why data quality is one of the most overlooked aspects of data management. While all models need good quality data to generate useful insights and patterns, data quality is especially important. In this blog, we explore how data profiling can help you understand your data quality. Discover how Tiger Analytics leverages Snowpark and Streamlit to simplify data profiling and management.

What is Data Observability Used For?

Learn how Data Observability can enhance your business by detecting crucial data anomalies early. Explore its applications in improving data quality and model reliability, and discover Tiger Analytics’ solution. Understand why this technology is attracting major investments and how it can enhance your operational efficiency and reduce costs.

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.

To Genfinity and Beyond? Three Experts Weigh in on How Enterprises Are Navigating a Brave New Post GenAI Landscape

Uncover how enterprises are navigating the transformative post-GenAI landscape catalyzed by ChatGPT’s disruption. Gain insights into the popular use cases enhancing employee productivity and customer experiences across industries. Explore emerging approaches like open-source model customization and trends like “Bring Your Own AI” adoption.

Empowering BI through GenAI: How to address data-to-insights’ biggest bottlenecks

Explore how integrating generative AI (GenAI) and natural language processing (NLP) into business intelligence empowers organizations to unlock insights from data. GenAI addresses key bottlenecks: enabling personalized insights tailored to user roles, streamlining dashboard development, and facilitating seamless data updates. Solutions like Tiger Analytics’ Insights Pro leverage AI to democratize data accessibility, automate pattern discovery, and drive data-driven decision-making across industries.

Turning Conversational Data into Chat Intelligence with Ablation Analysis

Discover how Tiger Analytics harnesses Chat Intelligence through ablation analysis and deep learning models like BERT to transform conversational data into actionable insights, enhancing customer engagement and unlocking growth opportunities.

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.

Suez Canal Crisis & Building Resilient Supply Chains

The Suez Canal crisis was a catalyst for change in supply chain management. In this piece, we explore how leading companies are using AI, analytics, and digital twins to build more resilient, agile supply chains. Discover how proactive planning and smart technology can turn disruption into a competitive advantage.

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.

Blog Tags: Predictive Analytics

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