Qlik Case Studies Qlik® Customer Snapshot

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	Qlik® Customer Snapshot Qlik

Qlik® Customer Snapshot

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Technology Category	Analytics & Modeling - Real Time Analytics
Applicable Industries	Finance & Insurance
Applicable Functions	Sales & Marketing
Use Cases	Predictive Quality Analytics
Services	Data Science Services
Challenge	The Global Retail Bank was facing a challenge of high cost per question due to the chaotic use of spreadsheets and unmanageable processes. The bank had spent hundreds of millions on legacy reporting, analysis, and modeling, which created too many barriers for decision-maker access to key information. The chairman of the bank had publicly stated that the bank would excel through innovation, and thus, there was a need for a solution that could lower the cost per question and manage the processes more efficiently. Read More
About Customer	The Global Retail Bank is a leading retail and corporate banking arm of a financial services leader. The division offers a wide array of banking, lending, and investment services to individual consumers, as well as to small businesses with up to $10 million in annual sales. The bank operates more than 1,000 offices or branches worldwide, serving millions of customers. The bank is headquartered in New York, New York, and operates in the retail banking industry. Read More
Solution	The bank deployed QlikView as 'innovation fuel' to an initial 25 centralized strategy users in marketing supporting major initiatives in the US. The users were expected to scale from 25 to hundreds by the end of the year. The solution was used for new customer analysis, market analysis, innovation planning and measurement, marketing campaign analysis, and product analysis. The solution was rapidly pre-launched in 2 days with the entire business up in 2 weeks. The bank leveraged QlikView (64-bit) to report on 20 million records for millions of customers across multiple lines of business. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Real Time Analytics

Applicable Industries

Finance & Insurance

Applicable Functions

Sales & Marketing

Use Cases

Predictive Quality Analytics

Services

Data Science Services

Challenge

The Global Retail Bank was facing a challenge of high cost per question due to the chaotic use of spreadsheets and unmanageable processes. The bank had spent hundreds of millions on legacy reporting, analysis, and modeling, which created too many barriers for decision-maker access to key information. The chairman of the bank had publicly stated that the bank would excel through innovation, and thus, there was a need for a solution that could lower the cost per question and manage the processes more efficiently.

About Customer

The Global Retail Bank is a leading retail and corporate banking arm of a financial services leader. The division offers a wide array of banking, lending, and investment services to individual consumers, as well as to small businesses with up to $10 million in annual sales. The bank operates more than 1,000 offices or branches worldwide, serving millions of customers. The bank is headquartered in New York, New York, and operates in the retail banking industry.

Solution

The bank deployed QlikView as 'innovation fuel' to an initial 25 centralized strategy users in marketing supporting major initiatives in the US. The users were expected to scale from 25 to hundreds by the end of the year. The solution was used for new customer analysis, market analysis, innovation planning and measurement, marketing campaign analysis, and product analysis. The solution was rapidly pre-launched in 2 days with the entire business up in 2 weeks. The bank leveraged QlikView (64-bit) to report on 20 million records for millions of customers across multiple lines of business.

Impact #1	The bank was able to reduce the cost per question by 80% and the turnaround time by 90%. The solution enabled a process for iterative discovery to support innovation. It provided the ability to now get answers to questions that were not even possible to ask before while using Cognos and BO.

Impact #1

The bank was able to reduce the cost per question by 80% and the turnaround time by 90%. The solution enabled a process for iterative discovery to support innovation. It provided the ability to now get answers to questions that were not even possible to ask before while using Cognos and BO.

Benefit #1	Reduced cost per question by 80%
Benefit #2	Reduced turnaround time by 90%

Benefit #1

Reduced cost per question by 80%

Benefit #2

Reduced turnaround time by 90%

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Overview

Qlik® Customer Snapshot

Operational Impact

Quantitative Benefit