Powerful Data Preparation for Advanced Analytics.

Data Prep Made Easy
Pyramid’s built-in, no-code data preparation makes cleaning and preparing data for analysis easy. Intuitive features, functions, and machine learning algorithms are straightforward yet sophisticated. Data is delivered through the same powerful, governed, and secure universal web client used across the entire platform. Not only can you benefit from advanced analytics data, but you can trust the data is protected.

Data from Anywhere
Pyramid’s decision intelligence platform aims to give you more power with your existing data by making it easier to access any data, anywhere. Blend disparate data sources. Accommodate any source: relational or non-relational, structured, or unstructured. Accommodate any environment: cloud, on-premises, or in a hybrid environment. Utilize external resources such as industry-leading technologies like SAP BW, SAP HANA, Redshift, Snowflake, Microsoft, Databricks, Oracle, and many more to power your decisions.

Universal Semantic Layer
Virtual semantic models act as a light layer against any data source without ingesting or duplicating the data into Pyramid’s internal engines. Everyone can query data sets seamlessly from Pyramid without needing to understand how the underlying data set is constructed or where it resides. This opens up a whole world of analytics to regular people who oftentimes find themselves confused by the complexity of the data preparation process.
Self-Service Data Preparation Done Right

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.

Deploy Faster
Get content up and running faster than ever. With security and workflow models automatically applied across the board, reusing objects is effortless for end-users.

Promote Adoption
With data easily available to the entire organization, your business users are empowered to make more impactful, informed data-driven decisions.