THE PYRAMID DECISION INTELLIGENCE PLATFORM // DATA SCIENCE
not just for data scientists
Pyramid’s data science workbench helps data professionals build, train, apply, and deploy machine learning against data sets to discover patterns, detect anomalies, make predictions, and make optimised decisions. Citizen data scientists can work in an intuitive drag-and-drop interface to apply models with guided model building. Advanced data scientists can work in their favourite coding languages such as Python or R to build custom models.
Powerful data science leads to powerful decisions.
With Pyramid’s platform, data scientists, analysts, and non-technical end users can collaborate on one application to build and deploy machine learning (ML) models. Anyone can prepare data, engineer features, build and process ML models, generate predictions, visualize results, create and launch dashboards, and consume insights to drive better business decisions – all from one platform.
Pyramid is ranked 1st in the Business Analyst use case in Gartner’s 2023 Critical Capabilities.
Visual data science in the flow
Pyramid’s platform simplifies the machine learning lifecycle for both citizen data scientists and expert data scientists. In Data Flow, an intuitive visual interface that represents the data pipeline, users can drag and drop powerful AI-driven data transformations and algorithms directly in the flow or using scripting. They can leverage deep Python and R integrations to perform feature engineering, build and apply ML models, and orchestrate data pipelines. The low code / no code, automated approach helps data scientists accelerate through tedious tasks in a data science project.
Explorer, prepare & transform
According to Pyramid research, data scientists spend up to 80% of their time finding, cleansing, exploring, and organising their data. Pyramid’s drag-and-drop modelling tool reduces the model development lifecycle with AI-driven tools for data cleansing, wrangling, and transformations. Data scientists can explore the shape of the input data with advanced visualizations and robust statistics for exploratory data analysis to identify dataset characteristics. You can use natural language to generate SQL, DAX, and MDX code automatically using Pyramid’s ChatGPT integration, too.
Enable citizen data-science
Pyramid provides pre-built algorithms that can be used by business analysts and citizen data scientists. They can apply these algorithms directly within the intuitive, drag-and-drop flow interface to perform sophisticated machine-learning tasks without any coding. You can download algorithms from the Pyramid Marketplace, select them from Pyramid’s content management system, or simply paste them into the script window.
Business and decision-modelling
Solve is an engine that generates prescriptive optimisation solutions based on decision models designed through a no-code/ low-code spreadsheet-like Tabulate interface. Business users can build models with complex logic waterfalls, conditions, and decision points, using the entire suite of spreadsheet formulas. Solve delivers true decision intelligence on live data—answering both “What should I do?” questions and “What if?” simulations that can be embedded into dashboards and presentations.
Deep Python and R Integration
Pyramid has integrated Python (and R) into its architecture. This integration enables data scientists to easily train models and deploy them into production. A marketplace with free, reusable Python source code provides non-technical analysts with a library of predefined functions. Existing Python scripts can be further customised to suit more specific business requirements.
Pyramid’s Feature Engineering tool helps data scientists and business analysts transform raw data into features suitable for ML models. You can apply transformations or use math functions to create new features. You can access features from other platforms like Databricks that provide API access to features. You can also share engineered features in Pyramid via REST APIs for use in other applications.
Apply, build, and train ML models
Use Pyramid’s pre-built scripts to build and train models. You can also train models using various approaches to achieve faster results and higher accuracy. Once you have trained your model, you can save it and re-use it against other data sets and use cases. To apply your saved model to new data for testing or scoring, simply connect it to the new data flow. Users have access to an extensive library of scripts, including Weka, MLIB, TensorFlow, and DL4J for deep learning. You can run the learn function against training data (input) and return the ML model (output).
Model deployment and monitoring
You can save, schedule, and execute models created on Pyramid along with their required data pipeline directly on the platform. The output of the models can be monitored to provide information on model performance over time and identify model degradation and drift. You can also set alerts to inform you when the model performance changes so that you can retrain the model.
Machine Learning Marketplace
Pyramid Marketplace has pre-built ML scripts for data cleansing, data prep and transformation tasks, statistical analysis, and classic ML regression and classification tasks such as forecasting and clustering. It also features pre-built scripts for classic ML modelling tasks like sentiment analysis, market basket analysis, geospatial modelling, and more. Additionally, it includes scripts for specialised use cases like modeling stock performance, future insurance claims, infant health, and more
Self-Service Data Preparation, Done Properly
Reduce Manual Workflow
Reduce hours wasted on manual data preparation by cleansing, enriching, and standardizing non-curated external data sources through an intuitive, easy-to-use interface.
We can help you get your content up and running faster than ever. With security and workflow models automatically applied across the board, reusing objects is effortless for end-users.
When your business users have access to data, they can make more informed decisions that drive impact. Hopton, working with Pyramid Analytics, will help you achieve this.