inlumi blog

In the blog post "What is analytics and why do we need it?" I stated that the data from disparate data sources should ideally be collected into a common data warehouse. Let's take a midsize company as a simple example in order to make this more tangible. The company makes money by billing hours and would therefore at least track the following profit metrics: employee cost, utilisation and forecasted earnings. Even a small company would need the following systems:

Recently we had a request from an Oracle Cloud administrator who wanted to change user passwords programmatically. We came up with a solution to create a program that mimics the web requests that a normal user would make when changing their own password.

inlumi’s customers are increasingly moving their infrastructure into the cloud. As such, we are actively helping our customers to plan their cloud migrations, facilitate communication between the business and IT departments and perform the actual migrations.

Broadly speaking, the field of Analytics entails the discovery, interpretation, and communication of meaningful patterns in data.

Here at inlumi, the analytics team focuses mainly on the financial analysis of our customers' data. Our main source of data is the sales data warehouse but, as we will explore in upcoming blog posts, it's important to combine multiple data sources to form a complete analysis.