Analytics with Power BI
Technology has been rapidly evolving to help users from different backgrounds achieve their goals with maximum efficacy. Imagine unlocking the secrets hidden within your data, where every chart and visualization tells a story yet to be discovered. What if the key to better business decisions lies just beyond one click, thanks to one of the features of Power BI? In this blog, we will dive into the world of analytics with Power BI where insights are uncovered. we will discover how Power BI can transform raw data into more comprhensive useful one. Ready to discover what your data isn't telling you yet?Multivariate Anomaly Detection in Azure Data Explorer
ADX contains native support for detecting anomalies over multiple time series by using the function series_decompose_anomalies() that can analyze thousands of time series in seconds, enabling near real time monitoring solutions and workflows based on ADX. This function analyzes each metric independently for anomalies, however there are some anomalies that can only be detected by looking on multiple metrics at the same time. In this blog we present new ADX functions for multivariate anomaly detection, that jointly analyze time series of multiple metrics, and present example of these anomalies when analyzing prices of MSFT and SPY pair.
Fill the Gap: EDDI for Multivariate Time Series Missing Value Imputation
This blog provides some guidance on using a recent deep generative model developed by Microsoft researchers at Cambridge for missing-value imputation and shares the best practices to impute missing values in multivariate time-series datasets.Introducing Advanced KQL Free Online Course
Are you analyze data on ADX? User Analytics? Geographic? Machine Learning? Time Series Analysis? Anomaly Detection? You have come to the right place! You are welcome to take our new Advanced KQL course that will boost your knowledge and skills for performing advanced analytics in ADXMachine Learning for Sales Forecasting: A Capstone Project with Columbia University
This past semester we have been collaborating on a machine learning Capstone Project with Columbia University’s Master of Science in Applied Analytics: capstone projects are applied and experimental projects where students take what they have learned throughout the course of their graduate program and apply it to examine a specific area of study.
