Prediction of Employee Attrition with Oracle Analytics

From the Customer Segmentation tutorial, you already know that Oracle Analytics provides several Machine Learning (ML) algorithms to solve the Supervised Learning and Unsupervised Learning problems with low-code required.

Prediction of Employee Attrition is one of such Supervised Learning problems. It is a popular use case that most organizations need to resolve to minimize the attrition rate. You train a model with a labeled dataset, and Employee is labeled Yes or No for Attrition in the dataset.

CodingSight - Prediction of Employee Attrition with Oracle Analytics
Read More

Customer Segmentation with Data Flow in Oracle Analytics

Customer Segmentation Analysis is a popular business issue, especially in Retail domain, where companies need to discover the data and group customers based on customer attributes, such demographics and customer transactions. The results of customer segmentation analysis let the retailers understand the customers’ behavior and create effective campaigns.

This tutorial will describe the usage of Data Flow in Oracle Analytics for resolving the Customer Segmentation problem (the data is hosted in Autonomous Data Warehouse).

CodingSight - Customer Segmentation with Data Flow in Oracle Analytics
Read More

Financial Dashboard With Oracle Visualization Desktop

Oracle Analytics Cloud (OAC) is a single cloud-based platform for data preparation, in-depth analytics, and comprehensive detailed reporting with customizable visualization in one solution. Oracle Business Intelligence Analytics helps to improve planning and make better-grounded decisions to achieve objectives faster and with less effort. Users can easily load the data from both internal and external sources into the system and report the results.

CodingSight - Financial Dashboard With Oracle Visualization Desktop
Read More

Setting Up the Data Flow in Oracle Analytics

The traditional approach to the transformation process (Extract, Load, Transform) requires that technical users get involved directly. They execute connection to data sources, the transformation of data, and provide final datasets to business users. The process often requires much time whenever business users ask for more information or due to changes/updates in business logic. Then, technical users have to revert datasets and transformations.

CodingSight - Build Data Flow with Oracle Analytics
Read More

Advanced Analytics with Oracle Data Analytics – Handling with Express Builder Functionality

This article completes the series of posts dedicated to Advanced Analytics with Oracle Data Analytics. Previously, we explored such metrics as Reference Line and Forecast Line in Part 1, and Outliers, Clusters, and Explain features in Part 2. The drag-and-drop methodology helps to build your informative and interactive visuals to view the data.

This part of the material will focus on the Express Builder functionality. This feature is especially helpful for advanced users who possess a deeper understanding of data science and statistics. It is necessary because users need more control over advanced functions and parameters. It also offers running Python scripts for data analysis.

CodingSight - Advanced Analytics with Oracle Analytics Part 3
Read More

Learning Advanced Analytics Features with Oracle Analytics: Outliers and Clusters

This is the second part of the material dedicated to Oracle Analytics. In Part 1, we started our journey and learned to create Reference Line, Forecast Line with Sales data. It let us get some essential remarks about the products with outstanding performance or relations between Sales and Profit.

In this part, we are going to continue using Advanced features. Here, our goal is to create Outliers and Clusters to identify abnormal data points in datasets and identify the grouping of customers.

CodingSight - Advanced Analytics with Oracle Analytics
Read More

Introduction to Advanced Analytics Features in Oracle Analytics

Advanced Analytics is a mandatory trend for Business Intelligence platforms and Self-service Analytics tools. It offers a set of statistic functions and algorithms, such as trending, forecast, etc. They help business users, analysts, and others specialists to deep dive into data insights for making better business decisions.

The current article is the first part of the series dedicated to the usage of Advanced Analytics with Oracle Analytics and data hosted in Oracle Autonomous Data Warehouse (ADW). It is not going to cover all the details about statistic functions, algorithms, or probability functions. We are going to discover prebuilt Advanced Analytics features developed in Oracle Analytics.

CodingSight - Advanced Analytics with Oracle Analytics Part 1
Read More