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Explorium has proven to be an invaluable tool for users, saving them both time and money by consolidating their data sources into one …
Overview
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...
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What is Explorium?
Explorium, headquartered in San Mateo, provides an External Data Platform that automatically discovers thousands of relevant data signals and uses them to improve analytics and machine learning. The automated Explorium Platform enables organizations to discover and use third party data to improve…
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Product Demos
Explorium Generate Audiences Demo
YouTube
Explorium Prediction Engine Demo
YouTube
Explorium Data Enrichment Demo
YouTube
Product Details
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- Tech Details
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.
Explorium Videos
Explorium Prediction Engine Demo
Explorium Data Enrichment Demo
Explorium Generate Audiences Demo
Explorium External Data Platform for Fintech
Explorium Integrations
Explorium Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
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Community Insights
TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
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Explorium has proven to be an invaluable tool for users, saving them both time and money by consolidating their data sources into one platform. Users have praised the system for its quick and accurate model development capabilities, which are particularly useful in areas such as data enrichment, risk assessment, and user profiling. The service's versatility has made it highly recommended by users who have found value in utilizing Explorium for risk assessment, improving marketing capabilities, and enhancing user profiling efforts.
One of the key use cases of Explorium is in procurement practices, where users leverage the platform to study information on bankruptcy risk, credit-worthiness, minority registration, employee size, and security risk exposure. By connecting to a single data source instead of multiple sources and APIs, users appreciate the convenience that Explorium offers. Furthermore, the historical data and predictive engine provided by Explorium enable users to gain a better understanding of their customers' needs and provide personalized experiences.
Another significant use case of Explorium is in making accurate financing decisions. Users rely on the data obtained from the platform to test multiple data sources and optimize cost-effectiveness. This capability has helped businesses enhance their products' value proposition by leveraging data enrichment provided by Explorium. Furthermore, the ML-based system has been commended for its ability to match external data with internal data, normalize and harmonize it seamlessly, resulting in reliable solutions that facilitate predictive decision-making.
Overall, Explorium has emerged as one of the most reliable tools in the past year due to its time-saving features and accuracy in integrating external data into existing business intelligence models. The platform's diverse use cases span across various industries and have garnered positive feedback from users across different organizations.
Rich and Broad Data: Users appreciate the richness and breadth of data provided by Explorium, finding it incredible and incredibly useful for their decision-making process. The platform offers a wide range of data sources that users can access, allowing them to gather comprehensive insights and make well-informed decisions. Many reviewers have expressed their satisfaction with the extensive dataset offered by Explorium, highlighting its value in driving better outcomes and elevating their data to a higher level. With access to such a vast amount of diverse data, users are able to explore new opportunities and gain valuable insights for their businesses.
Platform Overwhelming and Not Intuitive: Some users have found the platform to be overwhelming and not very intuitive to use initially. They mentioned that the large amount of data on the platform can be confusing, especially for first-time users.
Missing or Mismatched Data: According to some users, depending on the source of the data, there can be mismatches or outdated information. Although they mentioned that some missing data was added later as requested, they expressed a desire for more point-in-time data sources.
Limited Model Options: A few users stated that there are only supervised models available on the platform, implying a limitation. However, overall satisfaction was expressed with Explorium fulfilling their data enrichment needs.
Users commonly recommend the following based on their experiences with Explorium:
Firstly, they suggest running a demo and testing the software's capabilities. By doing so, users can gain a better understanding of the software's features and determine if it aligns with their specific needs.
Additionally, they recommend trying different statistical models and utilizing the coding environment for feature creation. This allows users to explore and experiment with various models and leverage the coding environment to create new features for their predictive modeling and machine learning projects.
Lastly, users highlight the value of Explorium's rich data sources for their predictive modeling and machine learning needs. They emphasize that these data sources provide valuable insights and enhance the accuracy of their models.
These recommendations from users highlight the importance of exploring Explorium's capabilities through demo testing, experimenting with different statistical models, utilizing the coding environment for feature creation, and leveraging its diverse data sources for successful lead generation, feature creation, and predictive modeling.
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