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Driver Analysis (Binary Outcome)

Define a binary outcome (e.g., churn, failures). And discover why/when that outcome happens. Also clusters where the probabilities of the outcome happening are very different.

Driver Analysis (Continous Variable)

What are the chief drivers for your outcome? And how do they impact the outcome? Are there pockets of data (clusters) where the outcome is very different from the rest?

Time Series Analysis

Everything to do with time-series data. What are the seasonalities? Where are the anomalies? How are time-series related to each other? Are there clusters of time-series?

Coming Soon

Text Mining/Analysis

Discover categories in your data, that you can use to categorize new data as it comes in. Or flag anomalous words as they come, or do a bunch of things with text.

Clustering

Discover clusters in your data, where the each column in the data is an attribute, e.g, cluster customers from profile data (gender, age, income, etc.)

Coming Soon

Impact Analysis

What is the impact of a certain action on your outcome? Are there pockets where impact is higher/lesser?

Coming Soon

Demand Forecasting

What is the demand likely to be in the next few weeks/months? And what will the impact of my actions be?

Coming Soon

Churn and Retention

What leads to churn? Which users are likely to churn out?

Coming Soon

Machine Failure Prediction

What's driving machine failures? Which machines are likely to fail in the next week/month