Blog Industry: CPG

A Comprehensive Guide to Pricing and Licensing on Microsoft Fabric

This comprehensive guide explores Microsoft Fabric’s pricing strategies, including capacity tiers, SKUs, and tenant hierarchy, helping organizations optimize their data management costs. It breaks down the differences between reserved and pay-as-you-go models, explaining Capacity Units (CUs) and providing detailed pricing information. By understanding these pricing intricacies, businesses can make informed decisions to fully leverage their data across various functions, leading to more efficient operations and better customer experiences.

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Advanced Data Strategies in Power BI: A Guide to Integrating Custom Partitions with Incremental Refresh

Explore advanced data management strategies in Power BI through a detailed examination of integrating Custom Partitions with Incremental Refresh to efficiently handle large datasets. Key benefits such as improved query performance, more efficient data refresh, and better data organization are outlined, along with a practical guide on implementing these strategies in Power BI environments.

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Power to the People: How GenAI Empowered Employees are Redefining Workplace Productivity

As GenAI becomes increasingly accessible, employees are transforming into AI-empowered superheroes. Organizations must focus on individualized rollouts, research tools, expert assistance, and readiness assessment frameworks to harness the full potential of GenAI and redefine workplace productivity.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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