Qlik Case Studies Simplify Complicated Data Management Schemes at HSBC

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	Simplify Complicated Data Management Schemes at HSBC Qlik

Simplify Complicated Data Management Schemes at HSBC

Qlik

Technology Category	Analytics & Modeling - Data-as-a-Service
Applicable Industries	Finance & Insurance
Applicable Functions	Business Operation
Services	Data Science Services System Integration
Challenge	HSBC, a global bank serving over 40 million organisations and individuals, was grappling with the complexity and scale of its data. The bank recognised the need for a strong commitment to analytics to thrive in the future. However, the challenge was not just about collecting data but making it usable and accessible across the organisation. The bank needed to ensure data quality, make data-driven decisions easier, and enable every staff member to contribute to business intelligence. The sheer size of HSBC and its commitment to data collection and analysis necessitated a simplified approach to data management. Read More
About Customer	HSBC is a global bank that was founded in 1865 to facilitate international business between Europe and Asia. Initially opened in Hong Kong, the bank now serves more than 40 million organisations and individuals around the world. HSBC is a large company with a massive commitment to data collection and analysis. The bank recognises that thriving through the next century will require a strong commitment to analytics. The bank employs data management specialists who are well acquainted with the struggle to wrangle data complexity and scale into a usable format. Read More
Solution	HSBC developed a data management path that simplified the process and involved the entire organisation in data management. The bank boiled down data management to five key concepts: what data is important, where it resides, why it is leveraged from its collection point, the impact/opportunity of collecting this data, and ensuring the data is fit for the intended purpose. HSBC used these concepts to guide its data management decisions, develop lineage diagrams, and create data quality mechanisms. The bank also used data analytics platforms like Qlik to create intuitive dashboards that captured each stage of the data lifecycle and made information readily available at all levels of the organisation. HSBC also developed a data dictionary to provide common definitions and an inventory of applications to track data across the world and through different parts of the organisation. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Data-as-a-Service

Applicable Industries

Finance & Insurance

Applicable Functions

Business Operation

Services

Data Science Services

System Integration

Challenge

HSBC, a global bank serving over 40 million organisations and individuals, was grappling with the complexity and scale of its data. The bank recognised the need for a strong commitment to analytics to thrive in the future. However, the challenge was not just about collecting data but making it usable and accessible across the organisation. The bank needed to ensure data quality, make data-driven decisions easier, and enable every staff member to contribute to business intelligence. The sheer size of HSBC and its commitment to data collection and analysis necessitated a simplified approach to data management.

About Customer

HSBC is a global bank that was founded in 1865 to facilitate international business between Europe and Asia. Initially opened in Hong Kong, the bank now serves more than 40 million organisations and individuals around the world. HSBC is a large company with a massive commitment to data collection and analysis. The bank recognises that thriving through the next century will require a strong commitment to analytics. The bank employs data management specialists who are well acquainted with the struggle to wrangle data complexity and scale into a usable format.

Solution

HSBC developed a data management path that simplified the process and involved the entire organisation in data management. The bank boiled down data management to five key concepts: what data is important, where it resides, why it is leveraged from its collection point, the impact/opportunity of collecting this data, and ensuring the data is fit for the intended purpose. HSBC used these concepts to guide its data management decisions, develop lineage diagrams, and create data quality mechanisms. The bank also used data analytics platforms like Qlik to create intuitive dashboards that captured each stage of the data lifecycle and made information readily available at all levels of the organisation. HSBC also developed a data dictionary to provide common definitions and an inventory of applications to track data across the world and through different parts of the organisation.

Impact #1	HSBC was able to better manage its approach to organisation-wide data policies and procedures.
Impact #2	The bank was able to create a series of dashboards that captured each stage of the data lifecycle and made information readily available at all levels of the organisation.
Impact #3	HSBC developed a data dictionary that provided common definitions, making it easier for separate teams to work together on common goals.

Impact #1

HSBC was able to better manage its approach to organisation-wide data policies and procedures.

Impact #2

The bank was able to create a series of dashboards that captured each stage of the data lifecycle and made information readily available at all levels of the organisation.

Impact #3

HSBC developed a data dictionary that provided common definitions, making it easier for separate teams to work together on common goals.

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Overview

Simplify Complicated Data Management Schemes at HSBC

Operational Impact