Prep data faster
Accelerate data preparation with powerful in-database functions and enable reuse via a feature store.
Gain clearer insights with the unmatched in-database functions of ClearScape Analytics™. Now you can solve complex analytic problems, minimize risk, and deliver insights based on a complete view of your data—all with zero data movement.
With the most comprehensive variety of resources, you’ll always have the right tools to find the right answers.
With ClearScape Analytics, you can scale AI/ML quicker and more effectively to solve your most complex challenges, reduce cost and friction, and accelerate time to value throughout your organization.
Gain clearer insights with vast in-database functions, reveal key details with an unmatched ability to join data, and refine predictions with intelligent modeling.
Data engineers and data scientists can quickly clean, transform, and organize raw data before using it for analysis or machine learning purposes. Frequently used functions include descriptive statistics, hypothesis testing, outlier handling, statistical tests, and many more.
Analyze and visualize data to understand its underlying patterns, relationships, and distributions. This crucial step helps uncover insights and identify potential issues in the data. Data science teams and business analysts can use a variety of functions—from path analysis, 4D analytics, temporal and time-series analysis, and more—to understand the data, identify trends, and develop hypotheses about the relationships between variables.
Select and transform raw data into features that can be used to train machine learning models. These features help models make accurate predictions or classifications. Effective feature engineering can improve the accuracy, efficiency, and interpretability of machine learning models.
Leverage a variety of models to make accurate predictions or classifications. ClearScape Analytics provides a robust assortment of algorithms to help build models that can generalize well to new data and make accurate predictions. Algorithms include Linear Regression, Logistic Regression, Decision Forest, Arima, XGBoost, SVM, and many more.
Assess the performance of a machine learning model on a test set or validation set. This capability helps data science teams determine how well the model generalizes to new data while comparing the performance of different models. The models can be operationalized to score and make predictions.
Empower your teams to spend more time creating value and delivering breakthrough insights with ClearScape Analytics’ comprehensive in-database functions.
Maximize efficiency across the entire machine learning lifecycle. ClearScape Analytics’ comprehensive in-database functions and machine learning pipeline seamlessly apply algorithms to large-scale data, with minimal data movement.
Drive breakthrough decisions from the broadest set of data possible. Leverage robust in-database functions—including path analysis, time-series, geospatial, text analytics, 4D analytics, and more—to convert a massive amount of data into powerful insights.
Spend more time doing the work you love. ClearScape Analytics’ powerful data integration and data preparation functionalities help eliminate tedious busywork so you can focus on projects that move the needle.