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Centralize Your Data Processes With a DataOps Process Hub

DataKitchen

It often takes months to progress from a data lake to the final delivery of insights. One data engineer called it the “last mile problem.” . In our many conversations about data analytics, data engineers, analysts and scientists have verbalized the difficulty of creating analytics in the modern enterprise.

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DataOps For Business Analytics Teams

DataKitchen

A DataOps process hub offers a way for business analytics teams to cope with fast-paced requirements without expanding staff or sacrificing quality. Analytics Hub and Spoke. The data analytics function in large enterprises is generally distributed across departments and roles.

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How DataOps is Transforming Commercial Pharma Analytics

DataKitchen

Marketing invests heavily in multi-level campaigns, primarily driven by data analytics. This analytics function is so crucial to product success that the data team often reports directly into sales and marketing. The Otezla team built a system with tens of thousands of automated tests checking data and analytics quality.

Analytics 246
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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications.

Big Data 275
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Improve healthcare services through patient 360: A zero-ETL approach to enable near real-time data analytics

AWS Big Data

This is underpinned by building a complete patient profile that enables claim analysts to identify patterns, trends, potential gaps in care, and adherence to care plans.

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The Impact of Healthcare BI Tools on Decision-Making and Patient Care

FineReport

Through interactive dashboards and graphical representations, clinicians can readily interpret complex data sets, driving timely interventions and adjustments to positively impact patient care.

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Exploring real-time streaming for generative AI Applications

AWS Big Data

Streaming data facilitates the constant flow of diverse and up-to-date information, enhancing the models’ ability to adapt and generate more accurate, contextually relevant outputs. He works backward from customer’s use cases and designs data solutions to solve their business problems.