The Problem?
Deduplication / Unified View / Search / Tasks
Whether you are trying to:
-
Find duplicate identities within a single source
or
-
Find matching identities across sources for a unified view
or
-
Search for identities within your organization
or
-
Have Tasks from other platforms like
(Epic, IBM, Nextgate, Reltio, Meditech, Cerner, Quadramed etc...)
Identity Resolution Technology is at the center of the solution.
But that the solution should be:
- Easy to use
- Accurate in results
- Cost Effective
EntityWise, through our patent pending machine learning solution, provides the easiest and most cost effective solution while still being more accurate than any other solution on the market.
OLD
1960's Technology
Unable to Render Intelligent Decisions
(All Other Solutions)
NEW
New Technology Capable of Mirroring Human Decision Making
(EntityWise)
Schedule a 15min Call to Learn More
Why Machine Learning Is
a Better Technology
Can I trust Machine Learning Technology?
Absolutely. Just as you trust your current match platform, machine learning is a better and more accurate technology than older approaches.
As experts in match, we have experience in all 3 match technologies; deterministic, probabilistic , and machine learning and we can say that machine learning is by far the best approach to the match problem.
All traditional match platforms, IBM, Epic, Cerner, Meditech, Informatica etc... use old technology to try to solve the problem.
Will Your Approach Meet Our Match Requirements?
Absolutely, Our approach customizes it's approach to meet your needs better than any other approach on the market.
Goal: The number one goal to a match approach is its match accuracy. But how data is matched is seen differently by each customer which means a custom match approach, tailored to their needs, is an absolute requirement for the best accuracy. One-size fits all solutions will not achieve the same level of accuracy.
Is this approach reliable?
Absolutely, once trained and tested the answers will always be 100% consistent.
Machine learning is a non-linear technology that can apply match logic that mirrors a customer's requirement much closer and can do so through a simple use of data samples rather than configuring algorithms.
Other match platforms, IBM, Informatica, Epic, Cerner, Intersystems, Quadramed etc… create tasks, which are potential matches that are left by these platforms for humans to resolve. EntityWise steps in and resolves them, making the machine learning approach more accurate.
Does your approach work with other MPI/EMPI Platforms?
Absolutely, our solution can work with other technologies and resolve those matches the other platforms cannot.
