Explorium External Data Platform in action.
When it comes to finding useful datasets, it’s not just about having more of it, but having the most relevant data. Often, even if you have access to an external data catalog, you need to
Melio developed an innovative B2B payment workflow that helps businesses save time and improve cash flow. Melio partnered with Explorium and AWS and used Explorium’s unique data enrichments to help them scale up rapidly and
Organizations across the industry realize that access to external or alternative data is key to their competitive advantage and business success. They are looking for ways to connect to the broader data ecosystems to improve
Risk officers and analysts across financial services companies and banks are realizing that risk modeling in 2021 requires better data. Even the most sophisticated machine learning models are insufficient without the most relevant risk signals,
"It’s clear that organizations are taking external data acquisition very seriously, allocating a significant budget for this task. In 2020, 81% of companies spent more than $100k each month on external data acquisition, and 31%
Most companies run predictive models based on limited, internal data because hunting for external data is too expensive, labor-intensive, and uncertain. However, the quality and quantity of available data dictates the overall accuracy of the
Identifying and accessing external data sources to improve your model can be time-consuming, effort-intensive, and may not lead to the results you hope for. Explorium’s data science platform can find the right data enrichments for
BI helps organizations across industries make sense of their data, but it still expects you to do the heavy lifting when it comes to finding insights. Building predictive models that can cut down your decision
Risk officers and analysts across financial services companies and banks realize that risk modeling in 2020 requires better data. Even the most sophisticated machine learning models are insufficient without the most relevant risk signals pulled
Most data scientists are already searching for external data sources to improve the accuracy of their machine learning models and to fuel business growth. But, if 2020 taught us anything, it’s that relying on internal,
Access to external or alternative data can give significant uplift to your predictive and ML models. External data is becoming a significant competitive advantage for companies across FinTech, Insurance, CPG, Retail, or eCommerce. By connecting
Many eCommerce companies are ready to make the move to conversion modeling to gain better insights and turn those into better results. But very few have the right skill set and knowledge in house. An
Understanding and managing risk is crucial for banks to come out on top. As banking becomes more data driven, AI is playing a powerful role in determining the methods and extent to which banks comprehend
Companies understand the value that data provides to their business. Access to relevant data determines the customer experience, risk exposure, or success of new business models. Increasingly, companies are looking outside of their four walls
eCommerce client-side marketers and agency professionals recognize that predictive analytics — a discipline that helps marketers use customer data to improve personalization, understand user behavior across devices and anticipate consumer needs — has the potential
With the right external data a fast moving consumer goods company experienced a 43% growth in net new business and a 20% gain in existing and former customer accounts. Consumer goods organizations still rely on
External data can help organizations find a competitive edge. By adding important context not found in internal data, you deepen your understanding of customer behavior, sales, and marketing activities, and boost fraud and risk visibility