The new extension applies its library of ML algorithms to analyse data, uncover hidden patterns, and deliver predictive business insights. The combination with Tableau’s visual analytics technology helps in faster analysis and better decision-making.
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Aible’s ML algorithms leverage a company’s data sources to deliver specific recommendations and allow embedding AI models, predictions, and recommendations directly in the Tableau dashboard.
In a blog post, the company informed, “As new data is generated, some models that performed well may start to decay, while another model may show rapid improvement. Aible pre-calculates the best AI for thousands of potential business realities, creating an ‘efficient frontier’ of AI models that ensures the best model for every business situation.”
The image above is an example of a Tableau dashboard augmented with Aible predictions:
- The purple colors on the bar chart denote the opportunities that Aible ML models have identified as being profitable to pursue for each of the top ten opportunities. It considers the cost-benefit tradeoffs as well as capacity constraints of the business. The gray on the bars are deals which are unprofitable to pursue.
- The scatter plot displays profitable opportunities colored by the customer type.
- The pane to the far right shows the Aible extension in action where the user is running a what-if scenario based on four model drivers – type of customer (existing), region, company size (large), and type of deal (renewal).
Aible delivers a portfolio of models tuned to different business realities rather than a single model. With a portfolio approach, models can be specialised for a wide variety of factors which include different geographies, products, departments, or marketing campaigns.
To integrate the Aible extension on the Tableau dashboard, it is essential to have licenses for both Tableau and Aible.