Reifier’s AI powered fuzzy data matching and record linkage technology can help organizations in multiple ways.
Master Data Management
Master Data is the common business objects of an organization – customer, supplier, site, accounts, products, assets and others. Dirty, inconsistent master data hampers analytics and reporting, hurting organization growth, operations and revenues.
Reifier links and matches redundant, overlapping and duplicate master data within a data source or across multiple data sources to identify unique master records and builds a trusted view of critical entities. Read case study
Customer 360 and Customer Data Integration
Reifier uncovers hidden links and patterns in customer data to discover relationships. Reifier builds customer 360 views across different product lines and business units for a holistic understanding of customer interaction with various departments and products. Reifier’s unified customer view boosts customer lifetime value by enabling organizations to get a clear and consistent view of customer behaviour. Customer 360 is the most valuable business asset to provide seamless customer experience, decrease churn, reduce time to market new products and services and increase customer satisfaction.
Clean customer data is the lifeblood of an organization and Reifier prevents duplication of customer records to ensure smooth sales and marketing, avoiding reaching out to the same customer multiple times with the same offer. Clean, duplicate free product catalogs increase sales and customer satisfaction building better brand value. Learn more and read case studies on
Sanctions Screening, KYC and AML
In an increasingly regulated environment, financial institutions are hard pressed to know their customer and ensure that they are dealing with safe entities. Tighter Know Your Customer Laws in about 80 countries, US FATCA(Foreign account Tax Compliance Act), Anti Money Laundering and Solvency II directives in the Eurpoean Union, along with internal organization specific black labeling make following regulations and preventing fraud a challenge. Reifier easily trains on the diverse data sets and links individual customer profiles with inaccurate, incomplete or conflicting information. Reifier also matches against PEP, HMT and other sanctions screening watchlists to prevent money laundering.
As organizations build data lakes merging data from different source systems, there is a strong need to collate and link the different entities from CRMs, ERPs, SCMs and others. Companies operating in different geographies often have multiple CRM and SCM systems, and unless information from these is consolidated in the data lake, it is impossible to produce accurate analysis. Reifier links and merges records in different source systems to give a consistent and clean data set for analytics.Posted on August 19th, 2016