Data Management

Quantexa uses Entity Resolution – a data matching method that reasons like a human, using all available data and many different ways of linking records. 

That is why our solution can make connections between records and enrich your data, even when quality is poor. For example, our solution demonstrated 99% data matching accuracy in an independent test. More about Quantexa’s Entity Resolution can be found here. 

Our Entity Data Quality solution can help you improve data quality by identifying inconsistencies and flagging data remediation opportunities. 

Traditional MDM has often fallen at the first hurdle, taking months to years to ingest data and match it accurately at scale. 

Quantexa’s schema-agnostic data ingestion capability and Entity Resolution quickly create an accurate single view no matter the variety or volume of data, generating significantly more links between data. 

Traditional MDM solutions find it hard to generate business value and ROI, because a single view of the truth is too constraining. 

Quantexa serves flexible data products to multiple use cases. The platform goes beyond just MDM to host vertical business applications, and is both an analytical and operational data platform.  

This is why organizations such as BNYM and HSBC have selected Quantexa. 

Also, Quantexa does not need to replace your MDM, it can work alongside it.  

You can find out more here. 

Quantexa works with your existing data integration and data governance software, integrating using streaming, API and batch approaches, building and distributing joined-up data assets such as a rich, connected customer view. 

Quantexa integrates with data analytics and data science environments, including native support for data lake technologies and the Python ecosystem. 

Quantexa’s cloud-native, but cloud-neutral architecture can be deployed onto all major cloud and on-premise environments, integrating with enterprise security, auditing and monitoring platforms. 

Quantexa’s contextual data products and insights can be surfaced into business applications such as CRM, case management and workflow as well as digital and traditional interaction channels. 

Organizations struggle to manage big data for decision-making, operational efficiency, customer experience and advanced analytical projects (such as AI and more). 

The main things to look for in a data management solution are: 

1. Time-to-value: how long will it take to deploy? Solutions that require your data to be transformed into a specific schema to be ingested may set your project back by months or fail before it started altogether if you run into issues. Solutions offering multi-source ingestion that is flexible and does not require data transformation on your end will accelerate time-to-value and require less resources. 

2. Data matching accuracy: How are you going to fix data scattered across systems and data quality problems? An effective data management program will primarily focus on solving the data quality problem by joining data from siloed sources in the most accurate way, creating a trusted data foundation. 

3. Analytics: will you have the right tools for data modelling and the AI use cases your data science team wants? By generating networks with graph analytics technology, you can uncover relationships between your data that can be used in decisioning models. 

4. Transparency and explainability: how confident will you be in your analytics and decision-making? Make sure you are using open and transparent models that are fully accessible to end users and the data team. 

5. Open architecture: How flexible it is to use the models and data how and where you want to. 

6. Scalability and ROI: Is your data management future-proof and matches your organization’s ambitions? It is important to think about scalability and ROI and that’s not only about the number of data points or data sources you are able to ingest. 

7. Flexibility: Most platforms will provide you with one view for your use case and that limits your flexibility in achieving granular user-level privacy and security settings as well as expanding to other use cases. 

Learn more about Data Management solutions and how Quantexa can help. 

If your existing MDM is heavily integrated, replacing it can seem daunting. Quantexa's modular architecture means it can sit alongside your existing MDM, checking its output or feeding it with matched data.