3 Great Examples of Data Visualization

Data visualizationtransforms raw data into visual elements that tell an actionable story. It’s a powerful communication tool that combines aesthetic and user-friendly features to make research, analysis, and decision-making much quicker and more intelligent.

At InfoCepts, we use a range of data visualization approaches  to present data in a creative, actionableandaccurate manner using any BI tool of choice. By making complex raw data visual and interactive, we provide clients with new ways of seeingand usingthis information.Below are some examples of data visualization projects we recently completed:

1.Inventory Management Dashboard

The problem: Without a bird's-eye view of inventory statistics, the client was struggling to meet upcoming demands, track goods, and keep tabs on cash flow, expenses, and revenue.

Our solution: We developed an inventory dashboard to help the client manage inventory, predict and maintain optimum stock levels, control losses, make better decisions, and ultimately boost profitability. The result? A 58% boost in sales (inventory turnover) and a 28% increase in new customers.

See what we did.

The problem: The client isa discount clothing retailer with stores across the US. They relied on Excel-based data analysis, which was prone to reporting inaccuracies that created a dominoeffect of problems—from slow time to insight to poor customer retention.

Our solution: We built a store analytics dashboard (iPad add) that gives the client deeper insights into key metrics (such as actual vs. target sales) that enabled efficient management and decision making.

See what we did.

The problem: The client is a growing restaurant brand that’s visited by hundreds of customers daily. It did not have a platform for analyzing data about sales and profits, staffing, customer satisfaction, running orders, and inventory.

Our solution: Using Microsoft Power BI, we developed a dashboard that allows authorized users to easily keep tabs on inventory, sales, profit, and staffing information, along with customer feedback. Restaurant managers can quickly spot areas of improvement, while demand prediction helped chefs prepare their kitchens to reduce wait time for customers.

About The Author"

Sundeep is a technology enthusiast who works with tech entrepreneurs, founders, C-suite executives, cross-functional teams, and CoE leaders to distill and share key insights with the tech community. His body of work includes Data & Analytics, Data Storytelling, Blockchain, Big Data, Business Intelligence, and GeoMarketing. 

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