Reltio Survivorship

Reltio Survivorship

Reltio Survivorship is the process of determining which values to keep and which to discard as the operational value (OV) when consolidating multiple records of the same object type into a single golden record. The survivorship rules are used to define the criteria for selecting the most accurate and complete values, based on factors such as data quality, source reliability, and business rules.

By focusing on the key components of survivorship (using rules to select operational values), this definition provides a clearer and more actionable description of the concept. Additionally, by explicitly mentioning the importance of data quality, source reliability, and business rules, it highlights the critical factors that should be considered when designing survivorship rules.

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11 Tips On How To Use Reltio Survivorship

Reltio Survivorship refers to the method of determining which value should be included in the golden record (OV) from a multitude of potential values provided by the entity's crosswalks. Each attribute in Reltio is associated with a survivorship rule, and in cases where no rule has been explicitly defined, "Recency" is utilized by default.

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Understanding Survivorship Groups and Strategies 

Survivorship is the process of selecting the best value  (or operational value) for each attribute from different sources to prepare a golden record ready for consumption in integrated applications. In many organizations, it is a complex process that involves several teams, departments, and systems. For example, operational values for marketing purposes may be different from the operational values for sales purposes. Hence, customers need the ability to define different survivorship strategies for the same attribute and execute specific strategies for specific use cases.

To manage this process effectively, the Reltio survivorship feature supports survivorship groups. 

So, what are Survivorship Groups? A survivorship group is a collection of survivorship strategies for different attributes in an entity.

Different survivorship groups can have different  survivorship strategies for the same attribute hence OV can be different for an attribute depending on the survivorship group that is used for fetching the data.

Survivorship groups can then be assigned to specific roles so that when a user with specific role (e.g. marketing or sales) fetches the entity data, they can see the OV specific to their function in the organization.


Survivorship Strategies Interaction with Key MDM Functions and Services

Entity resolution is at the core of multidomain MDM, and the series of five shows covers operational value determination in a consolidated profile and its impact to other functions like cleansing and matching. 

A consolidated profile is created through the match rules definitions in tenant L3 configuration. The platform determines the operational value on the fly (during runtime) based on the survivorship groups and survivorship strategies defined in tenant L3 configuration. 

User roles and groups defined in tenant metadata security controls what data is available to different users and what operational values are displayed for each role. 

The survivorship metadata configuration includes sourcesForOv, filters, fallback strategies and mappings between attribute types and strategies for each group and each entity type and relationship type. 

Operational value impacts functions like cleanse and match and you can choose to consider operational values only for these functions.

Exploring Advanced Survivorship Strategies - Filters and Fallback Strategies

This episode delves into advanced survivorship strategies, including fallback strategies and filter-based strategies. 

Filters are survivorship configuration structures that split attribute values into different sets based on a filter condition, and the winner is calculated separately for each set. 

Fallback strategies are used when the configured survivorship rule is unable to determine a single OV. The platform provides the flexibility to define fallback survivorship when no OV is selected or when more than one OV is selected based on primary survivorship strategy.



Mastering Complex Survivorship Strategies in Data Management

This episode focuses on complex scenarios of survivorship configuration involving multiple survivorship groups , fallbacks and filters. The episode also touches on the advanced behavior for survivorship rules and the scenarios where advanced behavior should be enabled / disabled.


Discussions on this Topic

  • Discussion

    Hi all ! I am trying to find a way to make some specific values to survive based on what I found in this thread (Link) My use case is that I have an entity (Individual) and that entity has an attribute ...

  • Survivorship issue

    Discussion

    Hello community, Hope everyone is well. We have a situation when 2 updates from the source at the same exact time. In this case survivorship becomes a problem as recency has a conflict. Here’s an ...

  • Survivorship Pin and Ignore

    Discussion

    Do they get overwritten at any time? #Survivorship ​ ------------------------------ Sandro Palleschi Manager - Enterprise Data Services at Empire Life Empire Life --------------------------- ...

  • This question is around the #Survivorship webinar that @Joel Snipes did a few weeks back. ​​ ------------------------------ Sandro Palleschi Manager - Enterprise Data Services at Empire Life Empire ...

  • Keyword based Survivorship

    Discussion

    Hi, I wanted to understand if Reltio has any survivorship method which allows a value having specific keyword/character to become master value. For E.g. I want a name to become master value if it ...

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