Google Cloud Platform Case Studies Banca Mediolanum: Enhancing Multichannel Marketing with Google BigQuery

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	Banca Mediolanum: Enhancing Multichannel Marketing with Google BigQuery Google Cloud Platform

Banca Mediolanum: Enhancing Multichannel Marketing with Google BigQuery

Google Cloud Platform

Technology Category	Analytics & Modeling - Machine Learning Functional Applications - Enterprise Asset Management Systems (EAM)
Applicable Industries	Finance & Insurance Retail
Applicable Functions	Maintenance Sales & Marketing
Use Cases	Construction Management Infrastructure Inspection
Services	Cloud Planning, Design & Implementation Services Data Science Services
Challenge	Banca Mediolanum, a leading Italian bank, insurance, and asset management company, was facing challenges in managing and analyzing the vast amount of data it was collecting from various sources. The bank's sophisticated marketing operation, which brings in over 10,000 new customers a month, was being hampered by the diverse formats in which data was arriving. The bank was struggling to make the most of its available information and was in need of a powerful data hub that could handle the massive and highly varied data. The bank was also looking for a solution that could minimize infrastructure maintenance, allowing its teams to focus on adding value. Read More
About Customer	Banca Mediolanum is a leading Italian bank, insurance, and asset management company with over 1.2 million customers. The bank has 2,200 core employees who work with 4,300 affiliated financial advisors, assisting with family asset and portfolio management. Banca Mediolanum is listed on the Borsa Italiana and the FTSE MIB index. The bank was the first in Italy to take its services online and has built a reputation as one of Italy’s leading retail banking institutions. Its sophisticated marketing operation brings in over 10,000 new customers a month. Read More
Solution	Banca Mediolanum turned to Google BigQuery, a powerful data hub that could handle the bank's massive and highly varied data. With assistance from digital analytics experts at BitBang, the bank migrated its existing data to Google Cloud in just one week. The bank also made extensive use of Google Analytics 360, DoubleClick, and AdWords, all of which seamlessly integrated with the Google Cloud infrastructure. The simplicity of Google Cloud and the ease with which it was deployed allowed the bank to create proof of concept iterations of new processes without generating excessive costs. Furthermore, Google BigQuery's simple and intuitive interface enabled staff to run queries and generate insights soon after the software was deployed. The bank is now looking to extend the reach of its marketing with machine learning algorithms based on Tensorflow, created around models optimized by BitBang. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Machine Learning

Functional Applications - Enterprise Asset Management Systems (EAM)

Applicable Industries

Finance & Insurance

Retail

Applicable Functions

Maintenance

Sales & Marketing

Use Cases

Construction Management

Infrastructure Inspection

Services

Cloud Planning, Design & Implementation Services

Data Science Services

Challenge

Banca Mediolanum, a leading Italian bank, insurance, and asset management company, was facing challenges in managing and analyzing the vast amount of data it was collecting from various sources. The bank's sophisticated marketing operation, which brings in over 10,000 new customers a month, was being hampered by the diverse formats in which data was arriving. The bank was struggling to make the most of its available information and was in need of a powerful data hub that could handle the massive and highly varied data. The bank was also looking for a solution that could minimize infrastructure maintenance, allowing its teams to focus on adding value.

About Customer

Banca Mediolanum is a leading Italian bank, insurance, and asset management company with over 1.2 million customers. The bank has 2,200 core employees who work with 4,300 affiliated financial advisors, assisting with family asset and portfolio management. Banca Mediolanum is listed on the Borsa Italiana and the FTSE MIB index. The bank was the first in Italy to take its services online and has built a reputation as one of Italy’s leading retail banking institutions. Its sophisticated marketing operation brings in over 10,000 new customers a month.

Solution

Banca Mediolanum turned to Google BigQuery, a powerful data hub that could handle the bank's massive and highly varied data. With assistance from digital analytics experts at BitBang, the bank migrated its existing data to Google Cloud in just one week. The bank also made extensive use of Google Analytics 360, DoubleClick, and AdWords, all of which seamlessly integrated with the Google Cloud infrastructure. The simplicity of Google Cloud and the ease with which it was deployed allowed the bank to create proof of concept iterations of new processes without generating excessive costs. Furthermore, Google BigQuery's simple and intuitive interface enabled staff to run queries and generate insights soon after the software was deployed. The bank is now looking to extend the reach of its marketing with machine learning algorithms based on Tensorflow, created around models optimized by BitBang.

Impact #1	The implementation of Google BigQuery has enabled Banca Mediolanum to conduct complex analysis of its massive and highly varied data. This has minimized the need for infrastructure maintenance, allowing teams to focus on adding value. The bank has also been able to integrate seamlessly with Google Ad Manager, Google Analytics 360, and Google Ads. The use of Google BigQuery has helped the bank to create personalized approaches to its customers and affiliated financial advisors, enabling the creation of customized campaigns. The cost savings to the bank's marketing are incalculable, but stretch into the millions of euros.

Impact #1

The implementation of Google BigQuery has enabled Banca Mediolanum to conduct complex analysis of its massive and highly varied data. This has minimized the need for infrastructure maintenance, allowing teams to focus on adding value. The bank has also been able to integrate seamlessly with Google Ad Manager, Google Analytics 360, and Google Ads. The use of Google BigQuery has helped the bank to create personalized approaches to its customers and affiliated financial advisors, enabling the creation of customized campaigns. The cost savings to the bank's marketing are incalculable, but stretch into the millions of euros.

Benefit #1	Migrated existing data to Google Cloud in just one week
Benefit #2	Brings in over 10,000 new customers a month
Benefit #3	Saved millions of euros with data-driven campaigns

Benefit #1

Migrated existing data to Google Cloud in just one week

Benefit #2

Brings in over 10,000 new customers a month

Benefit #3

Saved millions of euros with data-driven campaigns

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Overview

Banca Mediolanum: Enhancing Multichannel Marketing with Google BigQuery

Operational Impact

Quantitative Benefit