Are your enterprise data sources full of dirty, redundant, and noisy data?
Tamr, available through HPE Complete, can clean and unify the data. Tamr's software and services help enterprises accelerate and scale their data driven projects. Tamr applies machine learning supplemented by customers’ expert knowledge to automate the unification of large numbers of data silos at a fraction of the time and cost of alternative approaches. The end result is a clean, accurate, master set of data. Tamr is used by enterprises for a wide range of applications, including spend optimization, single view of a customer, biopharmaceutical data integration, and regulatory compliance. Based on patented software from Turing Award winner Michael Stonebraker, Tamr’s software enables customers to transform their approach to data unification to uncover new analytic insights. Multiple Fortune 500 Companies have achieved transformational outcomes by partnering with Tamr.
- Tamr is a new offering through HPE Complete
The Connect Phase
Tamr, available through HPE Complete, works with the customer to define project goals and identify the entities (e.g. person, place or thing) the user wants a unified view of for the purpose of downstream analysis.
Tamr aligns all relevant source dataset attributes to a unified schema that is most effective and relevant for project goals.
Human-guided machine learning is employed to union these datasets and offers a significant improvement in speed and scale as compared to traditional methods that rely on writing scripts.
The Clean Phase
Tamr deduplicates and masters the entities within the unified dataset efficiently and accurately through the use of human-guided machine learning.
The issue of dirty, duplicative data across enterprise data systems is extremely common and one that is very difficult to solve using conventional data management techniques.
The principal function of this phase of Tamr is record matching and de-duplication, powered by Tamr's machine-driven, human-guided approach.
The Classification Phase
Once a clean, unified dataset of a particular entity has been produced by Tamr, the user has the option of “classifying” the records to a company-specific or commonly used taxonomy for more in-depth analytic capabilities downstream.
This is particularly true within use cases such as supply chain or procurement analytics - where taxonomies help organize entities into logical groupings for business and analytic purposes.
Tamr's classify phase operates in the same manner as the connecting and cleaning phases.