Remove Data Modelling Remove Real-time Data Remove Supply Chain
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What is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

Also, timely insights into inventory will help to improve supply chain decisions. The strategic decision-making in the future of business intelligence will be shaped by faster reports, deeper data insights, broader areas of data collection. Help with Strategic Decision-Making. SAP Lumira.

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Future of Power BI | Is it worth learning?

The BAWorld

Future Microsoft Fabric Features: Real-Time Intelligence: Support for parameters in triggers. Data Factory Enhancements: Expanded data connectivity options. Enhanced data transformations and activities. Real-time data replication to lakehouse. Webhook integration for dynamic actions.

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OLTP and OLAP: Two Sides of the Same Data Coin?

Astera

This means that they use a data model that minimizes redundancy and ensures data consistency. Low data latency: OLTP systems offer low data latency and provide real-time data updates, ensuring immediate availability of updated data to users.This is important for applications that require real-time data access and responsiveness.

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The Future of AI in Data Warehousing: Trends and Predictions 

Astera

By AI taking care of low-level tasks, data engineers can focus on higher-level tasks such as designing data models and creating data visualizations. For instance, Coca-Cola uses AI-powered ETL tools to automate data integration tasks across its global supply chain to optimize procurement and sourcing processes.

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All You Need to Know About Data Aggregation

Astera

Government: Using regional and administrative level demographic data to guide decision-making. Healthcare: Reviewing patient data by medical condition/diagnosis, department, and hospital. Supply Chain: Optimizing distribution and inventory levels by studying customer, route, and warehouse/storage facility details.

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What is Data Modernization? Benefits, Importance & Components

Astera

Modernizing data infrastructure allows organizations to position themselves to secure their data, operate more efficiently, and innovate in a competitive marketplace. Improve Data Access and Usability Modernizing data infrastructure involves transitioning to systems that enable real-time data access and analysis.

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Use Automation and Analysis to De-Fog Your Supply Chain

Insight Software

A recent KPMG report shows that 60% of leaders are gearing up to invest in cutting-edge digital technology to fortify their supply chain processes, elevate data synthesis, and amplify analysis capabilities. This outdated approach not only hinders decision-making, but also demands excessive time and expert IT intervention.