Blog Industry: CPG
Tiger’s Snowpark-Based Framework for Snowflake: Illuminating the Path to Efficient Data Ingestion
In the era of AI and machine learning, efficient data ingestion is crucial for organizations to harness the full potential of their data assets. Tiger’s Snowpark-based framework addresses the limitations of Snowflake’s native data ingestion methods, offering a highly customizable and metadata-driven approach that ensures data quality, observability, and seamless transformation.
Read More
Migrating from Legacy Systems to Snowflake: Simplifying Excel Data Migration with Snowpark Python
Discover how Snowpark Python streamlines the process of migrating complex Excel data to Snowflake, eliminating the need for external ETL tools and ensuring data accuracy.
Read More
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.
Read More
How AI can help CPG companies unlock real value through in-store trade promotions
In the competitive retail sphere, Consumer Packaged Goods (CPG) companies use in-store trade promotions to increase sales. However, the success rate of these promotions is often inconsistent. By employing AI and data analytics, companies can gain valuable insights into consumer behavior, enabling more effective promotional strategies and improved ROI.
Read More
Why Self-Service BI is Important in an Agile Business Scenario
Self-service BI empowers business users to independently query, visualize, and analyze data, fostering a data-driven culture through accessible learning resources. Read how organizations can harness it towards informed decision-making and collaboration among multiple stakeholders, ultimately enhancing communication channels and data utilization.
Read More
How Tiger’s Data Quality Framework unlocks Improvements in Data Quality
Accurate data is crucial for informed decisions. Organizations must set clear data quality objectives, implement early data quality processes, and deploy IT solutions aligned with business goals to achieve this. Read how utilizing the Tiger Data Quality framework for automation can help enhance efficiency and eliminate manual data quality checks for better outcomes.
Read More
Why India-Targeted AI Matters: Exploring Opportunities and Challenges
The scope for AI-focused innovation is tremendous, given India’s status as one of the fastest-growing economies with the second-largest population globally. Explore the challenges and opportunities for AI in India.
Read More
Achieve Accuracy in Data-Driven Decision-Making with A/B Testing Done Right
How can A/B tests guide DevOps teams in scaling the best solutions? This data-driven approach helps leadership to make decisions based on real customer responses, ensuring efficient solutions and informed choices. Read more to find out how to do it right.
Read More
CPG Analytics of Today: What Are the Top 5 Current Priorities?
Explore the challenges and opportunities faced by the CPG industry through key trends like demographic shifts, e-commerce growth, and analytics-driven decision-making. Unravel critical areas for CPG manufacturers, such as e-commerce, trade spend effectiveness, pricing, marketing effectiveness, and more.
Read More
Building Data Engineering Solutions: A Step-by-Step Guide with AWS
In this article, delve into the intricacies of an AWS-based Analytics pipeline. Learn to apply this design thinking to tackle similar challenges you might encounter and in order to streamline data workflows.
Read More
