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

Data Science Blog

BI provides real-time data analysis and performance monitoring, while Data Science enables a deep dive into dependencies in data with data mining and automates decision making with predictive analytics and personalized customer experiences.

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Effective strategies for gathering requirements in your data project

Dataconomy

Example: For a project to optimize supply chain operations, the scope might include creating dashboards for inventory tracking but exclude advanced predictive analytics in the first phase. Key questions to ask: What data sources are required? Are there any data gaps that need to be filled?

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Descriptive analytics

Dataconomy

Diagnostic analytics Focused on understanding the reasons behind past outcomes, diagnostic analytics employs various methodologies to analyze causal relationships. Predictive analytics By leveraging historical data, predictive analytics forecasts future trends, helping businesses anticipate market changes.

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Business analytics

Dataconomy

Understanding the data-driven philosophy Organizations excelling in business analytics view data as a vital asset and strive to leverage it for strategic competitive advantages. How business analytics works Business analytics involves several foundational processes that guide organizations in their analytical endeavors.

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A Comprehensive Guide to the main components of Big Data

Pickl AI

Understanding these enhances insights into data management challenges and opportunities, enabling organisations to maximise the benefits derived from their data assets. Veracity Veracity refers to the trustworthiness and accuracy of the data. Value Value emphasises the importance of extracting meaningful insights from data.

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A Comprehensive Guide to the Main Components of Big Data

Pickl AI

Understanding these enhances insights into data management challenges and opportunities, enabling organisations to maximise the benefits derived from their data assets. Veracity Veracity refers to the trustworthiness and accuracy of the data. Value Value emphasises the importance of extracting meaningful insights from data.

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Enhancing Business Success: Exploring Key Analytical Capabilities

Pickl AI

Predictive Analytics Predictive analytics involves using statistical algorithms and Machine Learning techniques to forecast future events based on historical data. It analyses patterns to predict trends, customer behaviours, and potential outcomes.