TrustRadius: an HG Insights company

Explorium

Score7.7 out of 10

2 Reviews and Ratings

What is Explorium?

Explorium is a platform offered by the vendor, designed to assist businesses in finding, integrating, and transforming data to make informed decisions and build predictive models. According to the vendor, this comprehensive solution caters to a wide range of professionals and industries, including data analysts, data scientists, business analysts, marketing professionals, and sales professionals. Explorium aims to empower businesses of all sizes to unlock the full potential of their data and gain a competitive edge in today's data-driven world.

Key Features

Data Discovery: According to the vendor, Explorium enables users to automatically discover impactful attributes for their business needs and expand their own data with thousands of data signals from the largest catalog of companies and contact data. The vendor also claims that the platform offers superior quality and coverage across all segments.

Data Integration and Enrichment: Explorium allows seamless integration and enrichment of data from the world's largest catalog, as stated by the vendor. Users can enrich their data using attributes pulled from the largest catalog of companies and contact data, and keep their CRM enriched and up to date.

Data Transformation: The vendor claims that Explorium provides the ability to transform data and customize it to unique business needs. Users can create elaborate and flexible rule engines and powerful data workflows customized to their specific business logic. The platform offers no-code transformation steps and SQL steps to shape the data, including aggregating, filtering, and changing formats.

Predictive Modeling: According to the vendor, Explorium automatically identifies correlative attributes that drive key metrics and allows users to build machine learning scoring models that constantly learn and adapt.

Data Expansion and Consumption: Explorium enables users to expand their own data with thousands of data signals from the largest catalog of companies and contact data, and feed them into the systems where the data is consumed. The platform also provides integration capabilities with various platforms such as Salesforce, AWS S3, Snowflake, MySQL, Postgres, Microsoft Azure Blob, Google BigQuery, and SFTP, as claimed by the vendor.

Top Performing Features

  • Connect to Multiple Data Sources

    Ability to connect to a wide variety of data sources including data lakes or data warehouses for data ingestion

    Category average: 8.7

  • Extend Existing Data Sources

    Use R or Python to create custom connectors for any APIs or databases

    Category average: 8.9

  • MDM Integration

    Integration with MDM and metadata dictionaries

    Category average: 7.8

Areas for Improvement

  • Interactive Data Cleaning and Enrichment

    Access to visual processors for data wrangling

    Category average: 9

  • Data Transformations

    Use visual tools for standard transformations

    Category average: 9.1

  • Self-Service Model Delivery

    Multiple model delivery modes to comply with existing workflows

    Category average: 8.3

If you need a quick analytical accurate tool for modeling and integrating, here is one of the top 5 in the business.

Use Cases and Deployment Scope

We constantly use several platforms for our data requirement. We receive the news to test explorium and we are quite impressing of the capabilities to Easily match external data with internal data. The relationships between entities are a life savior and Explorium’s ML-based system used our data and normalized, harmonized and integrated for consumption to our BI model. We spend before explorium a lot of time doing this and is one of the most accurated tool we use last year.

Pros

  • Data ready for consumption.
  • Good enough relationships between entities.
  • Nice integration with other players. That's a good thing.

Cons

  • relationships between entities could be better. Would be great to have scenarios.
  • The data normalized needs improvement. Works pretty good, but it needs more refinement when using AND-OR Formulas that came from various datasets.

Most Important Features

  • Normalizing Data.
  • Relationships between entities.
  • Retrieve the most important datasets when defined. The extraction works great.

Return on Investment

  • Positive. The time save in analysis per hour of internal consulting was the best compared to our SAP and Cognos solutions.
  • In term of objetives works as stated, but when using multi-conditions of dataset, start the issues.

Alternatives Considered

IBM Cognos Analytics with Watson, Infor Professional Services Automation Suite and SAP BW/4HANA

Other Software Used

SAP HANA Cloud, Infor Professional Services Automation Suite, IBM Cognos Analytics with Watson