Fashion Retail Analytics using PowerBI

 The analytics module developed for the fashion industry incorporates the following needs for the end clients:

·         Consolidation of data from various sources such as spreadsheets and other relational databases.

·         Need of the end client to have a consolidated overview from various retail channels such as Retail sales, consignee sales, showroom sales.

·         Flexibility for analysis of the fashion data across various parameters: client, description of the module, style, size and color. The end clients are also looking at analysis across various date/time granularities such as year, year quarter and year month.

The module developed for the fashion industry enables the end clients to do the analysis across any levels of hierarchy. It enables the following:

·         Develop custom KPIs at any level of snapshot(date/time and garment granularity)

·         Enable data consolidation across multiple data sources

·         Flexibility in doing analysis across various views

The value proposition for the product comes as follows:

The benefit matrix of the product for the end client is as follows:

·  The product is looking at ease of deployment, ease of delivery, ease of maintenance.

The grid matrix for percentage calculation is as follows:

·    

                                                                                                                 

·        Based on the 2(two) measures quantity and value the end client should get at least 30 KPIs for percentages across various levels of date/time and product hierarchies.

      Attached are the first set of views for the end client:

    Consolidated dashboard: this view entails the comprehensive overview of metrics and KPIs after the consolidation has been completed. The following are the key tenets for the consolidated dashboard:

·          The view is independent of time

·         The  view is independent of date

Client view for value by year:

In the above view, we are looking at 2(two) separate measures quantity and sales.

In the attached dashboard,

The above is client analysis by fiscal years.

The  above module is the percentage client break up for a given fiscal year.

Thus the team has taken care of percentage snapshots at various levels of hierarchies.

  

Client View for Total Value By Year:

Client View for Total Quantity By Year:

Client View For Value By Quarter:

Client View For Total Quantity By Quarter:

Please contact the following for demo:
Apoorv Chaturvedi: support@mndatasolutions.com;support@turbodaatatool.com
Phone:+91-8802466356

Website; https://mn-business-intelligence-india.business.site/