Events Power BI Predictive Analytics 
Data Science Blog
JULY 23, 2023
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. Each applications has its own data model.
Data Science Blog
NOVEMBER 15, 2023
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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Smart Data Collective
NOVEMBER 25, 2019
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.
IBM Journey to AI blog
SEPTEMBER 19, 2023
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.
Pickl AI
OCTOBER 17, 2024
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.
Smart Data Collective
MAY 20, 2019
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.
Pickl AI
OCTOBER 15, 2024
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.
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