Abstract

Financial institutions face many challenges of managing and marketing campaigns which leads in its data warehouse. The management of marketing campaign leads in dependent data mart with real time updating and recording difficulties especially when many campaigns are running parallel ways. To securing the customers from being contacted too often for sales-based marketing contacts, the concept of novelty skeleton are introduced to clamp the customers who have been targeted in Sales based campaign for a specified time period. During the novelty Frame, the customer cannot be targeted by other Sales based campaign categorized under the same channel. The introduction of novelty skeleton has increased the difficulties of campaign management and data management. The difficulties of data management include timely update and robust storage system of campaign leads. In this paper, we explained represent the concept of slowly changing dimension on dependent data mart and also studied how it can be used in the data mart of financial institutions to update and maintain marketing campaign records of customers.

Highlights

  • The Financial institutions generate huge volume of data daily due multiple transactions and operations

  • Robust and wellmanaged data Mart that stores and tracks customer contacts history which can assist in effective campaign management

  • In prospective 1 and 2, where fresh leads which were not targeted in past campaigns and existing leads which were out of novelty skeleton will be successful uploaded onto Data Contact History Table (DCHT)

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Summary

INTRODUCTION

The Financial institutions generate huge volume of data daily due multiple transactions and operations. Type 3: Type 3 SCD updates the record by creating new dimensions to the table structure. The type of SCD to implement largely depends on the Some other variables/fields could be introduced to the business and institutional requirements with table for tracking purpose. SCD TYPE 2 SCD Type 2 puts new the effective start date, the effective end date, and the record to the existing available dimension table and convenient flag.

14 July 2013 null
SCD STUDY IN FINANCE DATA
HOW IS SCD STUDY IN FINANCE DATA
METHODOLOGY
Findings
CONCLUSION
Full Text
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