Data Science is still a relatively new field for many companies. Many companies start off by data scientists building machine learning models. Often they face the problem of getting business value out of these effort and fail to bring this to production.
It makes sense to use your business intelligence environment such as QLIK to support not only “hindsight” analytics but also predictive and prescriptive analytics that allow you to look into the future and make decisions based on forecasts and find anomalies in data.
This allows analyst to interact with the output of Machine Learning models bringing Business Intelligence and Data Science together.
What InstantML brings to QLIK
Tangent Works' TIM Instant ML delivers time series data forecasts, anomaly detection and related models - lighting fast, accurate and fully automated. On top of this, the models are also explainable helping to build confidence (Explainable AI).
The InstantML technology builds models for time series data sets that are known for issues such as data drift, data availability and structural change.
TIM InstantML creates new models and uses them for forecast or anomaly detection in seconds right from the QLIK sense screens.
InstantML is augmented Machine Learning for time series data. Time series data is everywhere, in many verticals, making this extremely useful for growing business value fast. Find out more on business use cases in the TIM Use Case Library.
In addition, TIM InstantML also provides insights in the components, features, feature combinations that make up the model which allows for easy visualisation in heat maps, tree map and including the data lags, moving average and more.
TIM is revolutionary because the speed allows users to work interactively with the time series and data and see what the impact is.
Get an overview of the integration in this Brain snack webinar video.
You can also check out the Qlik page on the Tangent Works website.