Indeed, in this case, the column contains a sales order number that is unique to each order plus is not used to group or slice analytical data in a Power BI report well.This analysis may lead you to re-evaluate
Related to the point above is that in SAP HANA the promise is thereal-time, where fact is available for analysis subseconds after occurrence. In Big Data algorithms processing is mostly batch based. Myprevious blog’s postbecame available in results of the Google Search and in Google Alert o...
Data moviesInsight generationOLAPManagement of query resultsQuery recommendationIn this paper we demonstrate that it is possible to enrich query answering with a short data movie that gives insights to the original results of an OLAP query. Our method, implemented in an actual system, CineCubes, ...
You can analyze data and create flexible reports and dashboards or perform extensive analysis and insight mining. These reports can be fully personalized to contain the data you need, like for example the top five presentations used per month, content usage etc. All the analytics data for the...
2.2 Insight Formulation In the domain of multi-dimensional data analysis, an interesting pattern can generally be summarized as follows: it reflects something interesting on a specific subject of data from a certain perspective. We refer to such kinds of interesting pattern as insight. Subject ...
9.4 bp. These results are not investible. The analysis does not include transaction costs or trading frictions. In “unsupervised learning” no specific target variable is predicted. Often the goal is to group or infer patterns in input data. ...
its human-friendly interface, it’s easy to create and customize unlimited dashboards that provide a real-time holistic view of financials. The finance team can perform in-depth data analysis with the ability to freely explore any variable, pivot the data, and drill down to transactional leve...
The visual analysis is finished and findings, insights, and conclusions can be used for further action. In addition, the commonality plots can be used for communication and documentation of results and findings. Our visualization framework requires specific data processing that is described in the fol...
Leveraging Supercomputers for Genomic Analysis The team ran their deep-learning model on the Laboratory’s newest supercomputer, Venado, which combines a central processing unit with a graphics processing unit to drive artificial intelligence capabilities. A deep-learning model works in ways similar to ...
Mapping and monitoring water resources with advanced machine learning and Earth Observations alongside GIS analysis; Integrating existing or new cloud-based Earth Data Cubes to generate time series of water resources documentation Article Collection Guest Advisors: Dr Maria Valasia Peppa is a lecturer in...