Accurately forecast the likelihood of an employee leaving the organization by analyzing multiple data inputs sourced from a variety of data sources.

Predict cash inflow based on historical sales data, sales pipeline data, customer business score and market conditions using machine learning model.

Predict cash outflow based on historical data, inflation, and market conditions using machine learning model.

Model and predict future demand by analyzing historical data and using input variables, such as prices, promotions, market growth outlook and competitor data.

Forecast lease outs, turn ins, stock availability and analyze bookings, on-hire fleet, rent rates, utilization by various attributes like customer, asset and lease information.

Forecast asset turn-in, inventory, repair and maintenance cost and sales price; predict rent rates and lease duration.

Access and analyze data streams in real-time; execute machine learning models in real-time on streaming data.

Perform complex data manipulation tasks via APIs for data pivoting, filtering, sorting, joining multiple data sets and working with data frames across a wide range of data sources.