A global travel technology company operating large-scale travel websites for consumers and small businesses. The platform functions as a travel fare aggregator and meta-search engine, enabling users to book airline tickets, hotels, car rentals, cruises, and vacation packages. The organization operates in a 24/7 high-availability environment with significant transaction volumes.
Get Clean: One-time data cleansing of the customer includes data consolidation, data profiling, address cleansing, De-duplication of data based on the variety of business rules. There are about 1.2 million customer and address required to be cleaned for de-duplication and address cleansing.
Due to the duplication of the data business was calling the same hotel customer multiple time to for Hotel Collect business. This creates frustration with the customers and the invoice reconciliation becomes hard to manage. Hence the project One Customer One Call has been initiated to have a clean Master Data. Goal of the project is to call the customer once for the collection process
Chainsys deployed AppMDM to do the following activities – Data Extract from Oracle EBS R12 , profile, cleanse and standardize address, find the duplicate customers based on the multiple rules
Consolidation of different set of customers explained below. There are three different types of customers Hotel Collect (HC) Properties, HC SLE and MESO/Others. There are about 12 different rules for each type of customers run at the different stages. Below diagram explains the different stages of consolidation.
dataZap - Pre-Configured Templates & Migration Engine to Extract, Transform, Pre-Validate, Load, Reconcile & Report.
dataZen - To 'Get Clean' and 'Stay Clean', and Introduce Master Data Governance.
