Understand the risks hidden across your data silos
The majority of large enterprises don’t know how many unique people they have information about, let alone all of the touchpoints where one individual’s data exists. The European Union General Data Protection Regulation (GDPR) going into effect May 25, 2018 has made this an urgent problem. A free risk assessment from Tamr allows you to understand the relationship between data sources and quantify the amount of fragmentation within your data, so you can apply the right compliance strategy.
Gain visibility into all of your data sources
GDPR requires enterprises to understand what data they have about EU citizens or risk heavy fines as high as 4 percent of the company’s global revenue. Gaining visibility into the long tail of data sources has traditionally been very expensive and time-consuming when taking a legacy, rules-based approach. Ignoring these sources is no longer an option. Tamr’s machine learning-based approach to data unification dramatically lowers the cost and complexity of integrating these sources to provide enterprises with the global visibility needed to be compliant.
Quickly identify all of the records about a customer
The “Right to be Forgotten” requirement means companies need to be able to identify and delete all of the data they have about a customer on request. This includes not only having a 360-view of your customers, but also being able to trace the data back to the source. Tamr’s library of connectors and open, API-oriented architecture allows you to maintain a streaming pipeline between your raw data sources and the integrated views used to search across sources. This allows you to easily identify the sources maintaining information about a customer and pinpoint the records to erase if needed.
Improve governance by unifying your data as it’s created
GDPR requires a consistent, reliable approach to managing and understanding the data on-hand about EU citizens. Tamr’s modern API-oriented architecture, which leverages technologies such as Spark and HDFS, unifies data at the source, as it’s being created. New customer records being created within a source system, such as Salesforce or SAP, are instantly matched against existing data, prompting the creator to decide if the customer is actually new. This prevents the proliferation of redundant customers, ensuring data stays well-organized to simplify governance and compliance.