TIBCO Software Case Studies High Tech Company Enhances Marketing Strategy with Predictive Analytics

	High Tech Company Enhances Marketing Strategy with Predictive Analytics TIBCO Software

High Tech Company Enhances Marketing Strategy with Predictive Analytics

TIBCO Software

Technology Category	Analytics & Modeling - Big Data Analytics Analytics & Modeling - Predictive Analytics
Applicable Industries	Equipment & Machinery Mining
Applicable Functions	Sales & Marketing
Use Cases	Behavior & Emotion Tracking Livestock Monitoring
Services	Data Science Services System Integration
Challenge	A large tech company was using legacy analytics platforms to support over 500 internal clients with predictive modeling projects. These projects were aimed at improving customer acquisition and retention, identifying up-sell and cross-sell opportunities, increasing revenue, and understanding customer lifetime value. However, the legacy systems were primarily used for data extraction, processing, analysis, and reporting, and had several limitations. The global analytics team was heavily dependent on these systems, and the idea of migrating to a new platform, the TIBCO® Data Science platform, was met with reservations. The team decided to conduct a feasibility analysis by creating a customer lifetime value model for one of the business units, a project they had undertaken multiple times before. Read More
About Customer	The customer is a large tech company that supports over 500 internal clients with predictive modeling projects. These projects are aimed at improving customer acquisition and retention, identifying up-sell and cross-sell opportunities, increasing revenue, and understanding customer lifetime value. The company's global analytics team had been using other legacy analytics platforms for years, and they were heavily dependent on them for data extraction, processing, analysis, and reporting. The team was asked to migrate to the TIBCO® Data Science platform, a move that was initially met with reservations. Read More
Customer Name	IT Infrastructure Company Read More
Solution	The team decided to use their existing Teradata Data Lab for data extraction and processing, and the TIBCO Data Science system for advanced analytics. The TIBCO Data Science platform proved to be an advanced analytics solution, making the project easier and delivering greater business value. The platform made data preparation an easy, menu-driven process, eliminating the need for extensive coding required by other legacy analytics solutions. The team used a year's worth of transaction data extracted from Teradata and TIBCO Data Science algorithms to identify natural product groupings and validate business assumptions about purchasing behavior. The TIBCO Data Science platform also provided excellent graphical capabilities, making it easy to visualize results. The team was able to use models supplied with the TIBCO Data Science system to determine both the predicted profit and the customer's probability of survival. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Big Data Analytics

Analytics & Modeling - Predictive Analytics

Applicable Industries

Equipment & Machinery

Mining

Applicable Functions

Sales & Marketing

Use Cases

Behavior & Emotion Tracking

Livestock Monitoring

Services

Data Science Services

System Integration

Challenge

A large tech company was using legacy analytics platforms to support over 500 internal clients with predictive modeling projects. These projects were aimed at improving customer acquisition and retention, identifying up-sell and cross-sell opportunities, increasing revenue, and understanding customer lifetime value. However, the legacy systems were primarily used for data extraction, processing, analysis, and reporting, and had several limitations. The global analytics team was heavily dependent on these systems, and the idea of migrating to a new platform, the TIBCO® Data Science platform, was met with reservations. The team decided to conduct a feasibility analysis by creating a customer lifetime value model for one of the business units, a project they had undertaken multiple times before.

About Customer

The customer is a large tech company that supports over 500 internal clients with predictive modeling projects. These projects are aimed at improving customer acquisition and retention, identifying up-sell and cross-sell opportunities, increasing revenue, and understanding customer lifetime value. The company's global analytics team had been using other legacy analytics platforms for years, and they were heavily dependent on them for data extraction, processing, analysis, and reporting. The team was asked to migrate to the TIBCO® Data Science platform, a move that was initially met with reservations.

Customer Name

IT Infrastructure Company

Solution

The team decided to use their existing Teradata Data Lab for data extraction and processing, and the TIBCO Data Science system for advanced analytics. The TIBCO Data Science platform proved to be an advanced analytics solution, making the project easier and delivering greater business value. The platform made data preparation an easy, menu-driven process, eliminating the need for extensive coding required by other legacy analytics solutions. The team used a year's worth of transaction data extracted from Teradata and TIBCO Data Science algorithms to identify natural product groupings and validate business assumptions about purchasing behavior. The TIBCO Data Science platform also provided excellent graphical capabilities, making it easy to visualize results. The team was able to use models supplied with the TIBCO Data Science system to determine both the predicted profit and the customer's probability of survival.

Impact #1	The migration to the TIBCO Data Science platform resulted in several operational benefits. The platform made data preparation easier, eliminating the need for extensive coding required by other legacy analytics solutions. It also provided excellent graphical capabilities, making it easy to visualize results. The team was able to use models supplied with the TIBCO Data Science system to determine both the predicted profit and the customer's probability of survival. The platform also provided cutting-edge functionality, enabling the team to create clusters based on predicted margin and probability of survival, and test those clusters for statistical significance. The team found the output easy to understand and interpret. The TIBCO Data Science platform also gave the team the freedom to experiment with a range of techniques to discover which one delivers the best results.

Impact #1

The migration to the TIBCO Data Science platform resulted in several operational benefits. The platform made data preparation easier, eliminating the need for extensive coding required by other legacy analytics solutions. It also provided excellent graphical capabilities, making it easy to visualize results. The team was able to use models supplied with the TIBCO Data Science system to determine both the predicted profit and the customer's probability of survival. The platform also provided cutting-edge functionality, enabling the team to create clusters based on predicted margin and probability of survival, and test those clusters for statistical significance. The team found the output easy to understand and interpret. The TIBCO Data Science platform also gave the team the freedom to experiment with a range of techniques to discover which one delivers the best results.

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Overview

High Tech Company Enhances Marketing Strategy with Predictive Analytics

Operational Impact