…covering everything which includes the word "data" or "information"
These organisations use CDI in order to improve customer service levels. Another reason is that through integrated, complete and accurate information about their customers and relationships they have with the organisation, CDI helps to build customer behaviour information. This information can then be used to provide customers with a more personalised services where appropriate recommendations can be offered and therefore allows for greater cross and up sell opportunities.
These are the main areas how CDI can help telecommunication companies. Other reasons are to facilitate customer self-service such as through the company’s website, detect fraudulent activities as well as consolidate billing and accounts into a single entity per customer.
As you know, a customer might buy different services from the company at different points of time and it would be cost ineffective having to send out separate bills and marketing letters to customers owning more than one account with the same company. Therefore CDI helps to consolidate all the accounts a customer may have into a single account.
Since products and services are at the heart of telecommunication companies, therefore CDI solutions are often implemented together with PIM (Product Information Management) solutions.
The purpose of this blog is for the author to share his knowledge and experience in various Data Management domains with the aim of helping readers to learn/expand on their existing knowledge in the area. This blog shares knowledge on Master Data Management, Data Quality, Data Governance, Data Integration, Data Analysis, Data Profiling, Data Warehouses, Data Marts, Data Modeling, Data Architecture, Metadata Management etc.
I am Manjeet Singh Sawhney and work as a Information/Data Architect, Manager for Direct Line Group in London and Bromley (UK). Prior to this, I have worked for Accenture, Tibco Software, Initiate Systems (now IBM) and Tata Consultancy Services. My areas of expertise are Master Data Management (Customer, Product, Reference), Metadata Management, Data Governance, Data Quality, Data Integration, Data Migration, Data Warehouses, Data Marts, Data Modeling, Data Architecture, Data Profiling and Data Analysis. I am using this blog to share my knowledge and experience in these areas and hope that you will find it useful.
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