Blog Industry: Manufacturing

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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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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India Targeted AI Matters

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.

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Analytics is Shifting Gears

Data-Driven Disruption? How Analytics is Shifting Gears in the Auto Market

The presence of legacy systems, regulatory compliance issues and sudden growth of the BEV/PHEV market are all challenges the automotive industry must face. Explore how Analytics can help future-proof their growth plans.

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Data Science Strategies for Effective Process System Maintenance

Industry understanding of managing planned maintenance is fairly mature. This article focuses on how Data Science can impact unplanned maintenance, which demands a differentiated approach to build insight and understanding around the process and subsystems.

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waste_no_more

Waste No More: Making a Difference with Tiger Analytics’ Data-Driven Solution for a Greener Tomorrow

Improper commercial waste management devastates the environment, necessitating adherence to waste management protocols. Tiger Analytics’ solution for a waste management firm enhanced accuracy, efficiency, and compliance, promoting sustainable practices.

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maximizing_efficiency

Maximizing Efficiency: Redefining Predictive Maintenance in Manufacturing with Digital Twins

Tiger Analytics leverages ML-powered digital twins for predictive maintenance in manufacturing. By integrating sensor data and other inputs, we enable anomaly detection, forecasting, and operational insights. Our modular approach ensures scalability and self-sustainability, yielding cost-effective and efficient solutions.

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