Big Data & Digital Marketing
40.7K views | +0 today
Follow
Big Data & Digital Marketing
Data analytics as the key to know your customers and offer them what they really want.
Curated by Luca Naso
Your new post is loading...
Your new post is loading...

Popular Tags

Current selected tag: 'Industry: Banking'. Clear
Scooped by Luca Naso
Scoop.it!

How Applications of Big Data Drive Industries

How Applications of Big Data Drive Industries | Big Data & Digital Marketing | Scoop.it
How industries like banking, healthcare, education, manufacturing, Insurance, retail, etc. are using big data.
Luca Naso's insight:

There is a substantial spending on big data, with more than 75% of companies (from different industries) investing in big data in the next two years.

 

Each industry vertical has its own challenges and solutions. Here is a great article and infographics by simplilearn that describe for 10 verticals both main challenges and applications.

The 10 industries are:

1. Banking

2. Communication

3. Healthcare

4. Education

5. Manufacturing

6. Government

7. Insurance

8. Retail

9. Transportation

10. Energy

trysailclocks's comment, May 17, 2017 12:18 AM
Great
trysailclocks's comment, May 17, 2017 12:18 AM
Great
Sip and Paint DC's comment, April 3, 3:32 AM
nice
Scooped by Luca Naso
Scoop.it!

Democratising finance: Banking on big data

Democratising finance: Banking on big data | Big Data & Digital Marketing | Scoop.it
Imagine if your bank sent you a financial health-check every morning, predicting how likely you were to go overdrawn that month. Or tracked the stores, cafés and restaurants where you spend money and sent discount offers. Or if your investment
Luca Naso's insight:

 

Big Data is a big opportunity in banking, but there are a lot of things to sort out along the way.
In the UK, banks are teaming up with retailers to offer personalised discounts to customers through their mobile applications based on an individual’s spending patterns.Banks are starting to think of their small business customers and using their data to see in real time what is happening to their businesses and where banks can step in to help.
More than a third of banks still buy data on clients from third parties, because it is too hard to extract the same data from their own systems.Most banks are held back by concerns over privacy and the technical challenges stemming from their ageing and complex systems.

No comment yet.
Suggested by WorldOffshoreBanks
Scoop.it!

The Importance Of Big Data In International Banking

The Importance Of Big Data In International Banking | Big Data & Digital Marketing | Scoop.it
Big Data is the new buzzword as far as mass operations, iterations and manipulations are concerned. The data becomes an asset that requires cost-effective innovations ...
Luca Naso's insight:

How is Big Data changing the banks business? And how this can add value for customers?


Today it is imperative to use machine learning for detecting frauds and mitigating risks. The next step should be solidifying the relationship with clients, by offering what they really need, not what the bank wants to sell.

 

The 6 uses of Big Data in banking

1. Increase efficiency - shorten the time to get information from db

2. Reduce cost - in maintaining the data infrastructure

3. Prevent fraud - self-evident

4. Accountability - better evaluation of clients' risk

5. New revenue streams - the more you know the more you can offer

6. Client satisfaction - by offering a better customer experience

Medellinfurniture's comment, October 9, 2022 11:57 AM
good
Scooped by Luca Naso
Scoop.it!

Big Data: Profitability, Potential and Problems in Banking

Big Data: Profitability, Potential and Problems in Banking | Big Data & Digital Marketing | Scoop.it
9 out of 10 financial institutions believe big data will separate the winners from the losers in banking, but hurdles hinder progress.
Luca Naso's insight:

According to research by Capgemini, banks investing in analytics to understand customer attrition have a 12% lead over their competitors!

 

Moreover:
1. with only 37% of customers satisfied with their bank’s understanding of their needs and preferences
2. and with 40% of customers not sure whether they will stay with their bank in the 6 months time


this research indicates how customer analytics could help banks increase their revenues and gain market share.

LuceCEM's curator insight, May 20, 2014 4:47 AM

More than 70% of banking executives worldwide recognize the importance of achieving greater customer centricity, however only 37% of customers are satisfied with their bank’s understanding of their needs. The lack of a Big Data Strategy and the difficulties of analyzing the huge amount of information banks already have are key issues the financial institutions need to solve to optimize their customer service.