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Object-centric Process Mining on Data Mesh Architectures

Data Science Blog

This aspect can be applied well to Process Mining, hand in hand with BI and AI. The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg. SAP ERP), the extraction of the data and, above all, the data modeling for the event log.

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Get Ready For These Six 2020 Business Intelligence Trends

Smart Data Collective

Some of these new tools use AI to predict events more accurately by employing predictive analytics to identify subtle relationships between even seemingly unrelated variables. Predictive analytics is the use of data and AI-powered algorithms to help analysts forecast the future and better predict business outcomes.

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Data science vs data analytics: Unpacking the differences

IBM Journey to AI blog

Having the right data strategy and data architecture is especially important for an organization that plans to use automation and AI for its data analytics. The types of data analytics Predictive analytics: Predictive analytics helps to identify trends, correlations and causation within one or more datasets.

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Top Descriptive Analytics Tools: Get Insights from Data

Pickl AI

Summary: Descriptive Analytics tools transform historical data into visual reports, helping businesses identify trends and improve decision-making. Popular tools like Power BI, Tableau, and Google Data Studio offer unique features for Data Analysis. Additionally, reporting is a crucial element of Descriptive Analytics.

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6 Data And Analytics Trends To Prepare For In 2020

Smart Data Collective

It’s for good reason too because automation and powerful machine learning tools can help extract insights that would otherwise be difficult to find even by skilled analysts. The entire process is also achieved much faster, boosting not just general efficiency but an organization’s reaction time to certain events, as well.

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The Role of Data Science in Transforming Patient Care

Pickl AI

Through predictive analytics, machine learning, and big data, healthcare providers can make data-driven decisions to improve outcomes, efficiency, and overall patient experiences. Predictive Analytics for Disease Prevention Predictive analytics is a powerful tool in the arsenal of healthcare Data Scientists.

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Enhancing Business Success: Exploring Key Analytical Capabilities

Pickl AI

Diagnostic Analytics Diagnostic analytics goes a step further by explaining why certain events occurred. For example, if a restaurant experiences a drop in customer visits, diagnostic analytics can analyse factors such as weather conditions, menu changes, or marketing efforts to pinpoint the reason.