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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Financial efficiency: One of the key benefits of big data in supply chain and logistics management is the reduction of unnecessary costs. Using the right dashboard and data visualizations, it’s possible to hone in on any trends or patterns that uncover inefficiencies within your processes.

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

He/she assists the organization by providing clarity and insight into advanced data technology solutions. As quality issues are often highlighted with the use of dashboard software , the change manager plays an important role in the visualization of data quality. Here, it all comes down to the data transformation error rate.

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7 Things All Successful Data Product Managers Have In Common

Alation

Many are subject matter experts for a particular kind of data, which enables them to spot anomalies in that data quickly, understand the root cause, and resolve the issue. Image Sourced from theproductmanager.com Further, they can quickly create helpful visualizations from the data they analyze.

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How CFM built a well-governed and scalable data-engineering platform using Amazon EMR for financial features generation

AWS Big Data

Over the years, CFM has received many awards for their flagship product Stratus, a multi-strategy investment program that delivers decorrelated returns through a diversified investment approach while seeking a risk profile that is less volatile than traditional market indexes. It was first opened to investors in 1995.

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Automating the Automators: Shift Change in the Robot Factory

O'Reilly on Data

Especially when you consider how Certain Big Cloud Providers treat autoML as an on-ramp to model hosting. Is autoML the bait for long-term model hosting? Related to the previous point, a company could go from “raw data” to “it’s serving predictions on live data” in a single work day.

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Unlock scalability, cost-efficiency, and faster insights with large-scale data migration to Amazon Redshift

AWS Big Data

However, you might face significant challenges when planning for a large-scale data warehouse migration. Effective planning, thorough risk assessment, and a well-designed migration strategy are crucial to mitigating these challenges and implementing a successful transition to the new data warehouse environment on Amazon Redshift.

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How smava makes loans transparent and affordable using Amazon Redshift Serverless

AWS Big Data

The data products from the Business Vault and Data Mart stages are now available for consumers. smava decided to use Tableau for business intelligence, data visualization, and further analytics. The data transformations are managed with dbt to simplify the workflow governance and team collaboration.