Quantexa uses Entity Resolution - a data matching method that connects disparate and ambiguous internal and external data at scale with proven accuracies of up to 99%. 

Quantexa’s Entity Resolution was designed to work with poor quality and sparse data and has proven time and time again to be much better than traditional matching approaches, e.g., demonstrated 99% data matching accuracy in an independent test with Dun & Bradstreet. 

We also have data quality tools in place to improve data quality by identifying inconsistencies and flagging data remediation opportunities. 

Even where our clients already have a system in place to provide a single view of customers, we have still provided deduplication rates of ~20%. 

Due to our approach to entity resolution, we are able to bring together a much broader range of internal and external sources than is typically possible, creating a more enriched view. In addition to that, because we uniquely support dynamic Entity Resolution, your data can be used across multiple use cases. 

Quantexa is not trying to replace the work your analytics teams are doing, but to enhance it. 

We can provide a richer customer view with networks that they can use as inputs to their models to drive better performance. 

Also, we have an open architecture which means they can continue to use the tools they are using today (e.g. Python, R, TensorFlow). 

Quantexa CI provides a truly trusted view of all and any data (internal and external) using best-in-class entity resolution including complex relationships such as corporate hierarchies and supply chains. We provide a scoring framework to support custom and advanced analytics.  

A CDP does not reach the level of sophistication and accuracy when it comes to making sense of complex data. 

Quantexa Customer Intelligence can power an existing CDP or similar system or used independently.   

Fragmented data leads to fragmented experiences for customers, and is a barrier to upselling, service and effective decision-making. 

A Customer Intelligence solution connects internal and external data to provide a holistic, trusted view of B2C and B2B customers and extends this capability with relationships (social, family, corporate hierarchies and supply chains) to provide the full context and enable better decision-making. The result: uncovering hidden patterns in data that dramatically increase the value of insights. 

A Customer Intelligence solution can: 

1. Make you more customer-centric and data-driven 

2. Accelerate revenue growth 

3. Enhance CX 

4. Increase productivity. 

Learn more about Customer Intelligence solutions. 

Organizations typically start with fragmented and duplicated data, resulting in heavy reliance on manual work and guess work from Sales and Relationship teams, Customer Service and Marketing to drive revenue and ensure good customer experience (CX).  

The Customer Intelligence process typically will be the following: 

1. A true single view of all people, businesses and places is built by connecting all data. 

2. Relationships between customers and non-customers are uncovered through contacts, directorships, investors, corporate hierarchies, supply chains, households, etc. 

3. Analytical models are applied to score networks and identify insights. This can be done either with built-in Customer Intelligence platform capabilities or by your own analytics and data science teams using the resolved customer data and networks from the steps before. 

4. That enables you to achieve your customer objectives such as push prioritized lists of leads into your CRM, send high propensity cohorts to your marketing automation software, dynamically personalize a customer’s online experience and more. 

Learn more about Customer Intelligence.