Bring on the data and teach the machine to make your life easier
Too much data, too little time! Today’s data management problem is not one of lack, but that of excess. With the proliferation of communication and transactional channels and the big data systems to hold huge volumes of data and process it, there is a need to ensure the reliability and quality of data to derive precise insights and run transactions at the speed of business. As the volume of data grows at a much faster rate than can be manually reviewed and remedied, companies are looking for advanced ways to solve the data quality problem.
Modern data management uses the power of machine learning to monitor, manage and improve data quality and stay ahead of data-driven challenges. A key area where the integration of machine learning into data management systems can help improve data quality is Data Matching.
Don’t lose precious sleep over data quality anymore
If you are a data steward responsible for maintaining and improving data quality, you will agree without a doubt that rules-based data matching is your number one headache. Creating a true 360-degree view of anything, including customers, employees, products and suppliers requires you to bring together data from all internal, external, and third-party sources. This blending requires careful matching and merging of the data. Your main challenge is that defining the rulesets for matching takes time and a deep understanding of data profiles. As the number of sources increase and the format and data types grow, you find that defining the rules becomes a complicated endeavor.
As your experience proves, accuracy in data matching is always a challenge. Most often it is inaccurate and requires backup processes and manual interventions. The complexity of data matching is the main reason behind the phenomenally long time-to-value for most of the master data management tools in the market today. Organizations spend months, iteratively defining the matching, testing, and fine-tuning match rule sets. Besides, setting match rules is an expensive, tedious and lengthy process.
Today’s third-generational data management platforms with a machine learning component, help you derive the matching rules automatically from the data and also offer you the capability for active learning/training of the machine. You can take a set or a sample of data and run it through the matching rule sets, then evaluate the data matching quality to indicate to the system which matches were good, which were inadequate or inaccurate.
With a single click, you can now show the machine how to treat the data and determine new match rules. The system adapts to your customer data and user behavior.
Limitless, reliable data for Analytics through Machine Learning
The current release of Reltio Cloud, a third-generation data management platform, introduces Match IQ, an advanced data match capability using machine learning to enterprises for their analytics and transactional needs. Reltio Cloud 2019.2 features this External Match App that is powered using Machine Learning (ML). Enterprise users like you can match data and resolve conflicts without having to setup tedious match rules, regardless of the huge data volumes and the variety.
Reltio Cloud’s ML component allows you to verify and accept the match criteria which in turn progressively trains the machine toward finer levels of match. Just specify the attributes that you want to match against, and you will be taken through a series of questions (active learning) that will help optimize the ML algorithm to make more accurate predictions. For the first time ever, business users have a consistent way of matching and merging data for better quality, reliability and business value.
- ML- based Match IQ: Reltio Cloud’s current release deftly combines the manual Match using match rules with ML based matching. The ML-based External Match feature allows you to verify and accept the match criteria which in turn progressively trains the machine toward finer levels of match. There is no need to set up any match rules from the ground up. You will be taken through a series of questions (active learning) that will help optimize the ML algorithm to make more accurate predictions.
- Data Modeler: You can now create new Entity Types and new Relationship Types through the Data Modeler application. The intuitive UI of the Data Modeler allows you to easily enrich the new Entity Types and the new Relationship Types by adding attributes. Creating and editing of new entity types and relationships is another important feature in this release.
- Data Loader: The data loader can now onboard Entities as well as Relationships. You can on-board data using the UI of the Reltio Console.
Reltio’s new ML-based matching and active learning capabilities are valuable for data stewards since it automates work by matching the right data and also training the system to register these match patterns for future accuracy. Data stewards can now focus their time and efforts for the greatest business impact, increasing productivity, aligned to business value.
Take control of your Enterprise Data Security, Governance and Compliance
The current and latest release from Reltio (2019.2) introduces Reltio Shield, a new security product that puts key management under the control of enterprise users. Enterprise users can generate new keys in accordance with customer security policies and practices. You can generate on demand with background re-encryption of data using the new keys or automatically, according to a schedule. New keys are automatically distributed via secure automated processes without any manual involvement or handling by Reltio and with no service downtime.
Reltio Shield provides several benefits that include :
- Fine grained access control
- Policy-driven, fool-proof security management
- Self- service security through scheduled or on-demand generation of keys
- Zero down-time from automated keys distribution
Advanced Data modeling, Scalability, Connectivity, Fine-Grained Role Management, Flexible Data Privacy and Protection and Continuous Compliance enhance the very powerful feature sets offered in this release. In addition to the above new features, Reltio Cloud 2019.2 offers many other enhancements such as workflows task management, data quality dashboards, and environment management that improves end user experience and productivity.
Reltio will be the Platinum sponsor of MDM & Data Governance Summit. The event will be held from July 10th to 12th in Chicago. Click here for event details.
Watch this video on how “Machine Learning puts Data Front and Center for Business”