Big Data in Banking – Thematic Research
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Big data is produced in abundance by both individuals and enterprises and stored in vast data centers. In banking, incumbents already have far more data on their customers than new entrants vying for market share. However, initiatives like open banking give incumbents less time to upgrade tech platforms, as data is more readily available to various players already set up to derive value from it. As such, many retail banks have come to see big data as the central and most urgent transformation imperative of digitization.
The big data in banking thematic intelligence report assesses how big data, combined with other emerging technologies, can be used across the banking value chain. It provides an overview of the current landscape, as well as key players, while also highlighting opportunities for the use of big data in the future. The report provides an industry-specific analysis based on GlobalData databases and surveys.
Big Data in Banking - Key Trends
The main trends shaping the big data industry are classified into five categories: data trends, technology trends, macroeconomic trends, regulatory trends, and consumer trends.
- Data Trends: Some of the key data trends impacting the big data theme are data governance, data democratization, data centralization, data proliferation, data security, low latency data, and single view of the customer (data integration).
- Technology trends: Some of the key technology trends impacting the theme are legacy creaks and cloud offers respite, open-source Hadoop software- hardware clusters, enterprise version of Hadoop, blockchain, AI for data quality and data readiness, edge computing, and quantum computing.
- Regulatory trends: Open banking, General Data Protection Regulation (GDPR), data localization, national security data considerations, anti-money laundering (AML) and know your customer (KYC), and from KYC to Know Your Data (KYD) role for chief data officer are a part of the regulatory trends impacting big data.
- Macroeconomic trends: The key macroeconomic trend explained in the report is M&A.
- Consumer trends: Consumer focus on data security and trust, growing consumer backlash against “black box” discrimination, and willingness to share data in exchange for benefits are a part of the consumer trends impacting big data.
For more insights on key trends impacting big data in the banking industry, download a free report sample
Big Data in Banking – Industry Analysis
Big data is already widely used by modern financial services providers globally. Most banking and payment professionals cite efficiency gains as the biggest benefit of big data investments, followed by an improved customer experience.
The Big Data in the banking industry analysis also covers:
- Mergers and acquisitions
Big Data in Banking - Value Chain Analysis
The big data value chain consists of four segments: big data generation, big data management, big data product development, and big data consumption.
Big data generation: Big data is produced by the digital activity of all sorts such as call records, emails, sensor activity, payments, social media posts, photos, videos, and much more. It is also produced by machines, both hardware, and software, in the form of M2M exchanges of data. This is particularly important in the IoT era, where devices talk to each other without any form of human prompting.
Big Data Value Chain Analysis
For more insights into the big data value chain, download a free report sample
Leading Financial Services Providers in the Banking Industry
Some of the leading retail banks, wealth managers, and payments companies in big data:
- Ant Financial (MYbank)
- American Express
- Bank of America
Leading Non-bank Public Companies
Some of the leading publicly listed non-financial services companies in the big data sector:
Leading Non-bank Private Companies
Some of the leading non-bank private companies in the big data segment:
- Dataiku DSS
- Data Virtuality
To know more about the leading financial services providers and non-bank public and private companies in the banking industry, download a free report sample
Big Data in Banking Market Overview
|Key Trends||Data Trends, Technology Trends, Macroeconomic Trends, Regulatory Trends, and Consumer Trends|
|Value Chains||Big Data Generation, Big Data Management, Big Data Product Development, and Big Data Consumption|
|Leading Financial Services Providers||Ant Financial (MYbank), American Express, and Bank of America|
|Leading Non-bank Public Companies||Alphabet, Alteryx, and Amazon|
|Leading Non-bank Private Companies||Dataiku DSS, Data Virtuality, and Delphix|
Reasons to Buy
- Benchmark yourself against the rest of the market.
- Ensure you remain competitive as issues related to big data remain a key issue in the future.
- Be prepared for how big data will impact the banking industry over the next few years.
Table of Contents
Big data improves the customer experience
Mergers and acquisitions
Big data generation
Big data management
Data governance and security
Big data product development
Big data consumption
Key recommendations for banks
Key recommendations for vendors
Financial services providers
Non-bank public companies
Non-bank private companies
Appendix: Our thematic research methodology
Frequently asked questions
What are the components of the big data value chain?
The big data value chain consists of four segments which are big data generation, big data management, big data product development, and big data consumption.
What key data trends are impacting the big data in banking sector?
Some of the key data trends impacting the big data theme are data governance, data democratization, data centralization, data proliferation, data security, low latency data, and single view of the customer (data integration).
Who are the leading financial services providers in the banking industry?
Some of the leading financial services providers in the banking industry are Ant Financial (MYbank), American Express, and Bank of America.
Which leading non-bank public companies are associated with the big data theme?
Some of the leading non-bank public companies associated with the big data theme are Alphabet, Alteryx, and Amazon.
Who are the leading non-bank private companies in the big data theme?
Some of the leading non-bank private companies in the big data theme are Dataiku DSS, Data Virtuality, and Delphix.
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