Name: Explorium External Data Platform for Fintech
Uploaded: 2021-10-07T16:49:29.000Z
Duration: 10 min 23 s
Description: Explorium External Data Platform for Fintech

Customer Training

Help Desk

Web and Video Conferencing

Customer Support

AI Development

Automation Testing

Cross-Browser Testing

Performance Testing

Development

Business Intelligence (BI)

Collaboration

Document Management

Emissions Management

Online Notary

Quality Management

Traceability

Enterprise

Accounting

Crypto Tax

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

HR Service Delivery

Payroll

Relocation

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Blockchain-as-a-Service (BaaS)

Bug Bounty

Business Rules Management

Cloud Migration

Cloud Storage

Configuration Management

Fraud Detection

Integration Platform as a Service (iPaaS)

Load Balancing

Machine Identity Management

Managed DNS

Migration

Mobile Application Performance Monitoring  (APM)

Network Diagnostics

Network Performance Monitoring

Privileged Access Management

Requirements Management

Software Components

Value Stream Management

Wireless WAN

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Content Management

Creative Management

Email Marketing

Marketing Automation

Mobile Advertising

Predictive Analytics

Social Media Management

Survey & Forms Building

Web Analytics

Marketing

Project Management

Professional Services

Conversation Intelligence

Customer Relationship Management (CRM)

Sales Consulting

Sales Dialer

Sales Enablement

Sales

Virtualization Security

Security

Animal Shelter

Banking

Dealer Management

Digital Forensics

Jail Management

Physical Therapy

Plagiarism Checker

Restaurant Management

eDiscovery

Vertical-Specific

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### Data Enrichment and Sources
Users consistently highlight Explorium's strength in providing a wide array of data sources for enrichment. They appreciate the platform's ability to streamline the process of accessing external and alternative data, enabling them to make faster and more informed decisions. While some users express a desire for additional point-in-time data sources and advanced features, the general sentiment leans towards the platform's effectiveness in leveraging multiple data sources to enhance predictive modeling and machine learning capabilities.

### Data Integration and Accessibility
Users consistently praise Explorium for its quick and easy data exploration and access capabilities. The platform's ability to provide instant access to a wide range of reliable external data sources has been highlighted as a key strength. Users appreciate the ease with which they can explore and evaluate new data sources, streamlining the process of integrating them into their models. Additionally, the platform's versatility and the support provided by the data science and product teams have been commended for enhancing the overall data integration experience.

### Predictive and Statistical Models
Users appreciate the speed and efficiency with which Explorium enables them to build and deploy machine learning models. The platform's capability to extract data from multiple sources and enhance existing models has garnered positive feedback. However, some users have expressed a desire for a wider range of model types beyond the currently available supervised models. Despite this limitation, the general consensus is that Explorium's predictive and statistical models play a significant role in improving data analysis and model performance.

### Data Insights and Decision Making
Users consistently highlight Explorium's data insights and decision-making capabilities as key strengths of the platform. They appreciate the diverse range of data points available, which enable them to make more accurate and predictive decisions for their businesses. The intuitive nature of the platform and the quick access to valuable data sources are also commended by users. Additionally, the excellent support and guidance provided by Explorium's team further enhance the overall experience of utilizing data insights for decision-making purposes.

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.

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.

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.

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, 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 predictions and ML model performance. With faster, better insights, organizations can increase revenue, streamline operations and reduce risks.

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Standard

Premium

Databricks Data Intelligence Platform

Explorium

Data Science

Watch this demo to learn how to enrich your data with Explorium.

Explorium Data Enrichment Demo

Watch this demo to learn how to use the Explorium Prediction Engine.

Explorium Prediction Engine Demo

Explorium Generate Audiences Demo

Likelihood to Recommend

Platform Connectivity

Data Exploration

Data Preparation

Platform Data Modeling

Model Deployment

Connect to Multiple Data Sources

Extend Existing Data Sources

Automatic Data Format Detection

MDM Integration

Visualization

Interactive Data Analysis

Interactive Data Cleaning and Enrichment

Data Transformations

Data Encryption

Built-in Processors

Multiple Model Development Languages and Tools

Automated Machine Learning

Single platform for multiple model development

Self-Service Model Delivery

Flexible Model Publishing Options

Security, Governance, and Cost Controls

Watch this platform demo of the "Generate Audiences" feature and learn how to generate leads with Explorium.

Explorium External Data Platform for Fintech

Risk officers and analysts across fintech companies realize that risk modeling in 2021 requires better data. Even the most sophisticated machine learning models are insufficient without the relevant risk signals pulled from various external data sources.
 
Watch this video to see how to harness the power of data and how embracing better external data can have many advantages for your data science, and analytics programs.

Ability to connect to a wide variety of data sources

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

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

Automatic detection of data formats and schemas

Integration with MDM and metadata dictionaries

Ability to explore data and develop insights

The product’s support and tooling for analysis and visualization of data.

Ability to analyze data interactively using Python or R Notebooks

Access to visual processors for data wrangling

Use visual tools for standard transformations

Library of processors for data quality checks

Access to multiple popular languages, tools, and packages such as R, Python, SAS, Jupyter, RStudio, etc.

Tools to help automate algorithm development

Single place to build, validate, deliver, and monitor many different models

Multiple model delivery modes to comply with existing workflows

Tools for deploying models into production

Publish models as REST APIs, hosted interactive web apps or as scheduled jobs for generating reports or running ETL tasks.

Built-in controls to mitigate compliance and audit risk with user activity tracking

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Explorium 2023-01-26 09:10:29

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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.

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

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.

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

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.

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Explorium

Overview

What is Explorium?