Bardess - transforming data into business intelligence
Success stories


CLIENT LIST

SUCCESS STORIES

Data Management
 

  1. Data Cataloging, Assessments, and Remediation Plans for migration of data to an SAP and Siebel platform
     
  2. Data Cleansing and Migration Implementation to Oracle ERP
     
  3. Data Migration to Clarify CRM - Requirements, Gap Analysis and Implementation
     
  4. Data Migration Plan, Strategy and Requirements for a New Entitlement System
     
  5. Product Data Migration and Ongoing Installed Base Process Design
     
  6. Customer Network Inventory and Data Revitalization Process Development

Business Intelligence and Revenue Management

  1. Business Metrics Model Development
     
  2. Revenue Backlog Cleanup and Revenue Recovery
     
  3. Order Management Tracking and Forecasting Tool Development

Planning, Design and Development

  1. Network Inventory Project – Asset Management Concept and Mapping Feasibility Study
     
  2. Asset Management - PETRO Process Development
     
  3. Requirements and Process Development for a Financial System


SUCCESS STORIES
Business Intelligence & Reporting 


Business Metrics Model Development

Business Issue

The Client’s Support Services Group needed improved visibility into support costs and profitability for products, service products and top customers.

Solution

Bardess consultants analyzed the data for the customer care and parts provisioning systems to determine the population rate of key fields, accuracy of entitlement (compared to entitlement database) and validity of input Contract Numbers. Based on the accuracy of the data determined in the analyses, several options for determining the Product, Service Product and Customer profitability were explored. Metric Models were developed using methodologies that utilized customer care data to distribute Total Service Burden across Service Products and Top Customers, and utilized the distribution of products and services products in the Entitled Base to allocate the Total Service Burden across Service Products and Products.

Client Impact

The Product, Service Product and Top Customer Metric Models provided the Client with repeatable and flexible methods of allocating Total Service Revenue despite data issues which would render standard analysis methods inaccurate.

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