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What’s your Data Confidence Number?

Nalini Mohan, Senior Technical Product Marketing Manager, Reltio

Can you put a number to the level of confidence and trust you have in your enterprise data and analytics? Can you take that number and make powerful decisions that can transform your enterprise? According to a study by KPMG and Forrester Research, “60 percent of organizations say they are not very confident in their data and analytics insights” and “only 10 percent believe they excel in managing the quality of data and analytics”. [1]

Reltio’s latest release offers a breakthrough data confidence capability to cross this chasm of trust for enterprises that use Reltio Cloud for their analytics and operations. Reltio Data Quality Confidence Indicators are continuously calculated for all profiles in Reltio Cloud and presented to the user as actionable metrics. For the first time ever, business users have a consistent way of quantifying data quality for reliability and business value.

Data organized in Reltio Cloud is now the only data available to business users with a confidence indicator. Enterprises need quantitative metrics to gauge data quality. Reltio is the first to bring those to market, along with updates for scalability, connectivity, security and more, offering significant opportunities for many data-driven business initiatives. Reltio’s new data quality and ranking capability is also valuable for data stewards since it automatically prioritizes work by identifying data that is high in business value but low in quality. Data stewards can now focus their time and efforts for the greatest business impact, increasing productivity, aligned to business value.

Have you Reltio-d your data today?

It is an increasing imperative for enterprises to think about trusted analytics as a strategic way to bridge the gap between decision-makers, data scientists and customers to deliver sustainable business results. Reltio customers and users understand that it is important to “Reltio” their data before trusting it enough for customer 360 views, analytics, and machine learning, and for meeting data privacy and compliance regulations.” Reltio’s new data quality and ranking capability is also valuable for data stewards since it automatically prioritizes work by identifying data that is high in business value but low in quality. Data stewards can now focus their time and efforts for the greatest business impact, increasing productivity, aligned to business value.

  • Data Quality Indicators – A machine learning-based Data Quality IQ (DQIQ) score grades the quality of data in each profile, and a Reltio Rank highlights the importance and relevance of a profile compared to other profiles. Metrics are continuously updated and persisted as profile attributes, making them searchable and segmentable. DQIQ is being progressively rolled out to customers.
  • Customizable IQ Scores – Together with Reltio’s system-generated DQIQ score, customers can also leverage Reltio IQ, a separately licensed module, to customize their own DQIQ variants, and to create an unlimited number of IQ scores and attributes. Examples include Churn IQ, Upsell IQ, and Compliance IQ.
  • Relevance-Based Matching – Reltio Cloud also added a relevance-based match rule allowing users to define a match rule and associate an action to be performed based on the relevance score of the match pair for continued data quality improvement.

The latest release (Reltio 2018.3) from Reltio builds upon its speed-to-value by making it even easier for business users and data stewards to onboard data through self-service. Reltio Data Loader allows any user, with the appropriate authority, to load unlimited volumes of data through an intuitive UI. Users can visually map, transform and load any amount of data, as well as monitor progress without having to write code. Organizations can now match external files against existing records in the tenant using smart matching, delivering instant actionable results.

With over 85 million real-time API calls a day and 4 billion profiles continuously being organized, Reltio continues to invest in platform performance. Upgraded services preemptively take action to handle spikes during extreme traffic loads. They also continuously monitor data to detect anomalies across distributed repositories, and will initiate self-healing actions autonomously. Fine-Grained Role Management , Flexible Data Privacy and Protection and Continuous Compliance enhance the very powerful feature sets offered in this release.

Visit the Reltio booth at the Modern Data Management Summit 2019 and test drive Reltio 2018.3 and its breakthrough Data Confidence features.

[1] Building Trust in Analytics