Have a data analysis application in few weeks

For the company in motion, a powerful and agile data analysis tool is needed. The subjects of analysis are many: analysis of sales, costs, skills, suppliers, performance, market.

Transforming data into useful and shared information

The data exist but they are often very large, buried in complex information systems, incompatible with one another and not always mastered. How can we take advantage of this wealth by minimizing tedious and repetitive manual operations, without embarking on a heavy IT project? An efficient, fast and scalable way is to associate an agile development method with a last generation data analysis tool and thus have an operational analysis application in a few weeks.

Conduct an agile project in less than a month in 3 steps:

Step 1: Identify the perimeter of priority needs, constraints and existing data sources. Make available a first prototype within a maximum of one week.

Step 2: define the modifications to be made to have a first operational version on the Cloud, the time necessary to assimilate it and to share it.

Step 3: validate, publish the operational application and train users.

In just a few weeks you already have a powerful, visual and scalable analysis app that you can share.

Simple sales analysis example with Qlik Sense:

Select any data without predefined rules.

Understanding from the most aggregated to the elementary information.

Handle very large amounts of data.

• Cross reference different internal and external sources.

Updates of the application

It is very important to get a first prototype and a first operational version very quickly. However, the application must be able to evolve in successive versions which are built on the same model and are enriched with new functions. The more technical requirements of security, integration with the company's information systems, automation of updates will be implemented over time without being a starting constraint.