Using atoti instead of Excel for business analytics Most companies hiring interns assign them modest levels of responsibility, freeing up other colleagues to pursue other more important tasks. Interns, on the other hand, gain entry-level experience outside of the classroom context. If you haven’t been taking interns seriously, it’s time...
Create a Python web application with a few clicks
Experience multi-dimensional data analytics with atoti in Binder I’m extremely excited to share how we can easily spin up a simple web application in Python with a few clicks! Before I go into the details, check out the following GIF: Get started It is as simple as: 1. Uploading a...
Customer 360: How it can be achieved with atoti
Tearing down data silos to provide a unified view of the customer Customer 360 is aimed at integrating customer data from disparate sources for an organization. We explore Customer 360 with a typical service provider scenario. A customer can have multiple engagements with an organization. Each engagement may be handled...
Complementing RDBMS with multidimensional analysis
Create an OLAP cube from your relational database with minimal ETL effort You probably know what RDBMS is since you are reading this article. Most probably, you have also dealt with some reporting tools that are backed by relational databases. So, what do you know about multidimensional analysis? In order...
Why do we need multidimensional analysis?
Multidimensional analysis gives the ability to view data from different viewpoints. This is especially critical for business. Let's take a quick look at the few visualizations below. We saw that with the same set of data, we are able to view the margin per shop, per product category, or for...
Meghana and Gauri: Explaining OLAP concepts with practical examples
Why atoti is a good fit for their needs I came across the presentation from Meghana Kshirsagar and Gauri Vaidya on “Business Intelligence with Online Analytical Processing with atoti”. https://www.youtube.com/watch?v=g72LocF0RZ8 I had a quick catch up with Gauri and got to know that she has been sharing atoti with students along...
A novel approach to inventory management
In this article, we will explore a method to tackle the issue of optimizing inventory management thanks to quantile based time-series predictions and leveraging atoti — a data visualization platform with an aggregation engine and native multidimensional and what-if analysis support. Inventory management is one of the most critical components...
23 times faster than Qlik: Simulating a Market Price Index in the Tyre Industry
Being able to elaborate a dynamic Market Price Index, to monitor over time your price levels compared to competitors, is key to proactively adjusting your pricing strategy. Lizeo and ActiveViam leveraged their complementary expertise in order to build a Market Price Index for the tyre industry with atoti. What is...
Data science & multidimensional analysis: the recipe to create optimal pricing strategies
A case study on better retail pricing based on location-based competitors' price data through Machine Learning Retailers are relying more and more on technology to optimize their pricing strategies to maintain or improve their sales and bottom line. Deploying those strategies has become increasingly profitable - and necessary to stay...