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What: KTS predicts meaningful patterns and trends in your data over time. Use your chronological data to forecast the results over time. KTS identifies the trend as well as periodicity and seasonality to provide accurate and reliable forecasts.

Why: Analyzing a time series can help you predict sales, forecast growth, size, recurring phenomena of markets, inventory levels in production and many other business related indicators.

How: KTS builds a model that closely matches the historic data. It then identifies an existing trend, as well as seasonal behaviour and other periodic events within the signal. As the last step it predicts the future values of the time series for the desired range.

Benefits for the business user: KTS allows you to adjust for patterns in your business and predict requirements and opportunities before they occur.

Benefits for the Data Mining expert: Like other components of the KXEN Analytic Framework, KTS is based on Structured Risk Minimisation, which automatically produces very robust and high quality models. This makes KTS ideally suited for forecasting.

Benefits for the Integration specialist and IT: KTS is easy to use and deploy. Like all other KXEN components, the complete functionality is accessible from the API, which makes it ideal for integration.