Ready Reports and Dashboards
A “ready to use” mobile business intelligence solution for your company can be implemented following an adaptation project of only a couple of days. The data in your Nebim V3 is reported and analyzed in a fast manner thanks to ready reports and graphics dashboards, which have been developed by Nebim using the industry experience and which include special formulas for the retail sector. The software infrastructure where the ready dashboards and graphs run, Power BI Pro, is provided thanks to the Tier 1 Cloud Services Provider (CSP) Agreement that Nebim has made with Microsoft.
The dashboards are designed based on different user roles such as Upper Management, Retail Stores Coordinator, or Product Manager. Therefore, your users can access especially the ready reports and graphics related to business processes they are responsible for. You can make high-performance analyses thanks to flexible filters and the capability to create reports of millions of lines in just a couple of seconds.
As notes can be added to reports or dashboards and shared with other users, joint analysis is possible.
In addition to usual report values such as turnovers and sales quantity, you can also analyze values specific to the retail sector such as gross margin, gross margin %, Markup, GMROI, GMROF, average sales price and basket depth.
The data in your Nebim V3 regarding change rates of previous year/this year/target can be reported with any filters and breakdowns that you prefer; you can make your analyses from the most cumulative values to the most detailed data; you can even access the photos of your products.
Relationships between values such as turnover, gross margin, average sales price, sales quantity, square meters can be reported; the number of customers entering your stores daily, and the values in relation to entry numbers such as turnover/number of invoices/basket depth can be compared to the previous year; therefore, you can evaluate the square meter productivity of your stores and the brand productivity.
The sales performance of your sales staff can be analyzed according to values such as sales quantity, turnover, gross margin, number of invoices etc. so that you can see the best and worst selling staff. At the same time, you can analyze the distribution of the sales made by your staff according to the product hierarchy.
You can see the shopping rate of your customers according to profession, education and age group; and you can analyze your new customers who don’t shop.
The education, seniority level, age, gender, military service status of your staff can be analyzed according to the number of staff or to the age average.
Comparison with previous years can be carried out for analyses regarding manufacturing warehouse inputs, manufacturing, raw materials and processes; and monthly inputs distribution can be seen based on product categories, companies and years.