In today’s world, data drives business. Effective utilization of data and its transformation into valuable information propel key business decisions. Most challenges faced by the organizations are in regards to timely sharing of data easily and securely with top management. Cnetric’s Universal Retail Dashboard (URD) is specially formulated to address these corporate issues.
Employ URD, complete reporting solution, to create, manage and deliver reports through the web or URD-embedded enterprise applications, enhancing visibility with added competitive edge.
With URD, you can represent data and design reports in highly customizable formats suitable to your unique needs. You can choose from various options of output formats such as PDF, CSV, RTF, XML, Excel, etc. through any device of your choosing.
URD allows data sourced from various locations such RDBMS, JavaBeans, XML, etc. to create a report. This tool can incorporate different forms of data from multiple sources.
To help you visualize and understand data graphically, URD has the requisite functionality of exhaustive options for both the in-built and external charts. With hyperlinks in the reports, you can generate OLAP-style drill-down reports which allow enhanced data viewing pertaining to specific areas of interest.
URD provides provisions for myriad of built-in variables and calculations for tailor-made calculation methods and layouts. You can gain the insights you need from customized calculations.
The purpose of this report is to gauge total sales pertaining to a particular location such as a city or group of cities, etc. You can drill down to specific analysis addressing causes for high or low sales in the designated areas and ways to combat them.
This report is generated to identify low or high stock levels to address heightened carrying costs and stock-outs risks over specific time period. This is useful for streamlining inventory and ensuring products are available.
This report is designed to track the sales of products per vendor in order to form a comparative study of sales data for similar products of different vendors and obtain causal analysis of data variations.
This special analytical report is used to understand which products are selling well together. This insight helps retailers to design the store layout in such a format where these products are placed together as they have a high probability of selling together, and increasing sales.