Structured data can be qualitative too. Interactive presentations are a great way to simplify complex workflows, decision trees, and playbooks. Guide users through the right choices, help them learn from the wrong ones -- all with an automated data-driven approach, with engaging comics.
A wealth management team wanted a way of explaining securities portfolio movements. Gramener sourced public and private data to create a clustered correlation matrix of securities prices. Clients began trading more actively based on the increased visibility of portfolio groups.
This is a visual analysis of every score made by the Atlanta Falcons and their opponents during the NFL 2015 regular season. The Atlanta Falcons scored just 1 touchdown pass and also conceded more touchdown rushes (8) in the 1st quarter than any other team. The Falcons failed to score a single point in their game against the Panthers.
We happened to find an entire dump of close to 1500 Hindi movie songs (released) of Kishore Kumar & feasted on it. An accurate database of Bollywood songs is so hard to find and we were simply happy to depend entirely on the information provided by the meta tags from the mp3 dump. In the guise of 'analysis' our folk had a jolly good time.
A leading private bank used these dashboards to understand the performance of loans products, geographies and customer segments to strategize sales and marketing plans and plan for risks. These dashboards were also further used to analyze the loans portfolio performance in terms of Income and NPA detailed to a product level and identify the correlations. These also allowed for branch level analysis.
This animated visual was used by a private bank to find weekly and daily sales pattern of the bank across branches in an automated fashion. Enables identification of outliers in terms of unusually good or bad days or weeks or branches. How does each branch's sales change over time? Are there special days when sales spikes?
This animated visual was used by a retailer to explore sales trends across stores in an automated fashion. Enables identification of outliers in terms of unusually good or bad days or weeks or branches. How does each branch's sales change over time? Are there special days when sales spikes?