TIM on Platforms | Get immediate value from your data

TIM On Platforms

Tangent Works is committed to make the TIM Solution available in world class platforms allowing business users, citizen data scientists and data scientists alike to benefit from advanced time series analysis, namely forecasting and anomaly detection. In line with this vision, TIM is available in various types of platforms, ranging from analytics and BI platforms, over data and machine learning platforms to data integration, IoT and cloud platforms.

TIM for Excel

TIM Forecasting is an add-in in Microsoft Excel introducing an intuitive interface to the TIM Engine into Excel.

The possibility to communicate with the TIM Engine from within Excel allows you to enjoy the capabilities and familiarity of Excel, combined with the unique time series insights realized with TIM.

The TIM Forecasting application for Excel supports TIM’s unique technology called RTInstantML, allowing you to get direct forecasts based on the data in your Excel file.


TIM for Qlik

It is possible to amplify the benefits that stem from the use of Qlik Sense through the TIM Server-Side Extension (SSE).

This SSE gives you the freedom to benefit from TIM’s capabilities without the need to leave the well-liked and familiar environment offered by Qlik Sense.

TIM for Qlik Sense is your gateway to augmented ML and gives you deeper insights into your data, the models used by RTInstantML and the resulting forecasts.



Tangent Works’ goal is to make machine learning easy to apply for all business users

No complexity of traditional auto ML model selection. No time-consuming data science. No manual feature engineering.

TIM for Alteryx

Tangent Works + Alteryx bring a unique combination of two technologies enabling you to easily benefit from machine learning for predictive and prescriptive scenarios.

Alteryx Designer fully integrates with Tangent Works TIM. Benefit from the world-famous Alteryx functionality that allows business users, citizen data scientists, and data scientists to work magic with data.



TIM for Power BI

Microsoft Power BI is a powerful data visualisation tool. Microsoft’s vision for Power BI is to help customers drive a data culture – helping everyone make better decisions based on data.

Power BI is equipped with the functionality to run Python scripts directly in the desktop application. Since TIM is available through a Python Client, these Python scripts can be used to expand your Power BI dashboards with TIM’s forecasting and anomaly detection capabilities, thus augmenting InstantML capabilities within Power BI.

Learn more about TIM

Discover how TIM enables you to get instant predictive value from your time-series data

Full overview

TIM is available in various types of platforms, ranging from analytics and BI platforms, over data and machine learning platforms to data integration, IoT and cloud platforms.

Analytics and Business Intelligence Platforms

TIM in Microsoft Power BI

Microsoft Power BI’s attractive, immersive dashboards and reports empowered with TIM’s State of the art forecasting and anomaly detection capabilities

TIM in Tableau

Unlocking TIM’s potential in time series analysis with Tableau’s revolutionary new approach to business intelligence

Data and Machine Learning Platforms

TIM in Azure Machine Learning

Azure Machine Learning’s enterprise-grade Machine Learning service to build and deploy models faster, now also for TIM’s powerful forecasting and anomaly detection models

Data Integration Platforms

IoT Platforms

TIM’s integration with Azure IoT Central

Ensured connection to IoT devices and transforming data into actionable insights using TIM’s forecasting and anomaly detection capabilities directly in IoT Central

TIM’s capabilities in Siemens’ MindSphere

Harnessing the wealth of your data with advanced analytics through the implementation of TIM’s forecasting and anomaly detection capabilities within MindSphere, the cloud-based IoT open operating system from Siemens

Cloud Platforms


TIM’s capabilities in forecasting and anomaly detection, reliably scalable through the use of AWS’ (Amazon Web Services’) on-demand cloud computing platforms and APIs.

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