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Object-centric Process Mining on Data Mesh Architectures

Data Science Blog

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg.

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Data Mesh Architecture on Cloud for BI, Data Science and Process Mining

Data Science Blog

Companies use Business Intelligence (BI), Data Science , and Process Mining to leverage data for better decision-making, improve operational efficiency, and gain a competitive edge. Data Mesh on Azure Cloud with Databricks and Delta Lake for Applications of Business Intelligence, Data Science and Process Mining.

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Exploring the Power of Microsoft Fabric: A Hands-On Guide with a Sales Use Case

Data Science Dojo

By forecasting sales performance, businesses can identify anomalies or trends, which are crucial for directing future sales strategies and making informed decisions. Synapse Real-Time Intelligence: Real-Time Intelligence in Synapse provides a robust solution to gain insights and visualize event-driven scenarios and streaming data logs.

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Unlocking near real-time analytics with petabytes of transaction data using Amazon Aurora Zero-ETL integration with Amazon Redshift and dbt Cloud

Flipboard

The data in Amazon Redshift is transactionally consistent and updates are automatically and continuously propagated. Together with price-performance, Amazon Redshift offers capabilities such as serverless architecture, machine learning integration within your data warehouse and secure data sharing across the organization.

ETL 135
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The Benefits Of Using Snowflake For Business Intelligence

phData

Business intelligence (BI) has become the cornerstone of decision making for businesses, leading organizations to constantly seek innovative solutions to harness the power of their data. Snowflake Data Cloud, a cloud-native data platform, has emerged as a leading choice for business intelligence (BI) initiatives.

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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

Data models help visualize and organize data, processing applications handle large datasets efficiently, and analytics models aid in understanding complex data sets, laying the foundation for business intelligence. It involves drilling down into data to identify the root causes of specific outcomes.

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Principal Financial Group increases Voice Virtual Assistant performance using Genesys, Amazon Lex, and Amazon QuickSight

AWS Machine Learning Blog

As part of AWS CCI, Genesys Cloud integrates with Amazon Lex, which enables self-service, intelligent routing, and data collection capabilities. Reduce the number of AWS KMS events in AWS CloudTrail logs. Encryption The solution encrypts data at rest with AWS KMS and in transit using SSL/TLS.

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