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Predictive Analytics: Explainable. Easy. Scalable.

The Tangent Information Modeler builds high quality, explainable models on continuously evolving data in any circumstances. Predictive analytics for time series in use cases such as forecasting and anomaly detection. Right into your favourite data analytics solution without the need for any data scientist.

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Why build your predictive analytics business?

Analysts agree that data science and predictive analytics are currently one of the hottest markets allowing businesses to make data driven decisions.According to McKinsey, those that are fast to adopt AI and ML in their organizations will outperform their peers by 122% over the next 10 years.

What is TIM?

TIM, or Tangent Information Modeller, is an automatic predictive model building engine that automates the forecasting and anomaly detection process by analysing time series data and generating accurate models based on the patterns it detects.

Machine Learning Maturnity

Thanks to TIM’s thorough automation of the model building process, no data scientists are required to get great results. Rebuilding and retraining models becomes easy and users can even leave model storage completely out of the picture with TIM’s RTInstantML technology. All of these features are brought together into a scalable architecture.

Tangent Work Features



Business Value

Getting information from data often is difficult and requires expertise. This is particularly true in time series analysis, because of its highly dynamic nature. Many usecases come down to forecasting with time series. This is exactly the subject in which TIM excell. Tangent Works reduces the need for valuable resources ( time, money, expertise) and helps users to leverage insights that are hidden in their data.

Automated feature engineering

TIM automates feature engineering while many other modelling tools require manual feature engineering that requires a domain expert. This manual proces takes a long time, especially since the number of combinations grow exponentially with the number of input variables.

Accuracy that rivals hand-crafted models

TIM's automation allows the enine to create models with equivalent or even better accuracy then the manually built models. And all this in a matter of minutes.

Scalable in every way

TIM is built to be efficient and can process huge datasets in minutes time. This means users can automatically create many models and update those models as frequently as desired.  TIM helps companies to handle the increasing demand for predictive models by automating the most tedious aspects of model building.



Explaining the model(s) the people who depend on them is a great challenge of predictive modelling. TIM presents its models as an equivalence in a human-readable format, which can be visualised as a map that shows the weights of and relationships between the model’s input variables.

Easy integration

The architecture of the Tangent Information Modeller ( TIM) , is optimised for smooth integration with existing databases, BI tools and other enterprise applications. To realise this, all of TIM’s functionalities are easily accessible through its REST API. This structure also guarantees the utmost deployment flexibility.

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Industries that can benefit from Predictive Analysis

Banking & Security  
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Not convinced yet?

Cover Book


This book is written primarily for nontechnical readers who don’t necessarily know a lot about the underlying technologies such as machine learning (ML) and artificial intelligence (AI).

  • You work with lots of data and need to derive business value from that data.
  • You’re a business user who wants to learn how to implement predictive analytics, or you’re a data scientist (or citizen data scientist) who wants to understand the value of augmented predictive analytics.
  • You work in an IT department and need to learn more about how to extend your existing solutions with predictive analytics.

Time-series data is everywhere. In industries from retail to finance and manufacturing to energy, companies try to use time-series data to deliver business value. But unfortunately, many machine learning projects never get past the experimentation stage as data scientists toil over handcrafted model building, testing, and tuning for days or weeks — far too long for businesses to leverage the information for real-time decisions.

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Key Actions to Prevent Machine Learning Failure Due to COVID-19-Related Data Drift

Quite a few organizations are experiencing significant decay of their machine learning models due to ongoing shifts in business and consumer behavior during the COVID-19 pandemic.

Data and analytics leaders must understand their options to remedy this and better prepare for the future.

Read the Gartner report to discover impactful recommendations to prevent Machine Learning failure in your organization.


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Our Services

Consulting Having in-house knowledge of QlikView or Qlik Sense but struggling with a certain problem? Our consulting team is always ready to help you out. They are trained to help you out with performance audits, technical enhancements, etc.
Implementation As a Qlik Solution Provider, At Once has a dedicated focus on implementing all kinds of Qlik projects. Our experts will generate a high ROI by visualizing your whole story with QlikView or Qlik Sense.
Training & Coaching
Our At Once trainers will train you in Qlik! We provide both standard training for the entire Qlik portfolio or we can create a workshop based on your specific requirements / project.
At Once has a dedicated support team available during working hours for any urgent request or incident. Depending on your organization's needs, we offer cutomer specific support packages.