LatentView Analytics Corporation - Retail Store Dashboard

LatentView Analytics - Retail Store Dashboard - This Power BI dashboard is developed for Regional and Store Managers to understand the geographical presence of their stores and their status across owners and partners by LatentView Visualisation CoE Team. With the integration of Power BI’s NLP and NLG feature, users can now do deep dive analysis, drill downs and driver analysis on-the-go.

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LatentView Analytics - Retail Store Dashboard - This Power BI dashboard is developed for Regional and Store Managers to understand the geographical presence of their stores and their status across owners and partners. With the integration of Power BI's NLP and NLG feature, users can now do deep dive analysis, drill downs and driver analysis on-the-go.

Target Audience - This Retail Store Dashboard is developed for Regional and Store Managers to understand the geographical presence of their stores and their status across owners and partners.

Data Considered - Store level data across countries along with owner and partner information

Business Problem - Regional and Store Managers would like to understand the geographical presence of their stores and their status. They would like to know which countries and stores to focus on based on the current status. Ideally they would like to do deep dive analysis on-the-go without the support of the IT / Backend team

Business Solution - With Power BI, LatentView has created a framework to do end-to-end analysis for the Retail Store operations use case. We have developed an executive summary with drill down and deep dive integrated which will now enable Regional and Store managers to get actionable insights on-the-go
  • We can now help Regional Managers to understand "why certain countries have more 'On Hold' status" and "which stores need immediate action" via integrating features like "Analyze", "Drill Down" and "Drill Through". Regional and Store Managers can now do driver analysis on-the-go
  • With the integration of "Smart Narrative", store level summaries are generated dynamically for various scenarios
  • With "Q&A" integration, business users can now slice and dice the data, as it acts as a self supporting platform.

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