A How-To Guide for Monetizing Open Banking and CDR data

Accenture

In our last post, we shared the two emerging business models that are powered by Open Banking application programming interfaces (APIs) and open data—banking as a platform and banking as a service. Uncategorized APIs CDR Open Banking Open Data

Data 273

Data Lake Houses: Getting Your Bank Data Right

South State Correspondent

When it comes to future success in data management in banking, the same rules apply. Your strength is your data, and your success comes from defending your data and applying your data at various angles – to credit, fraud, marketing, and understanding both your employees and customers.

Data 195
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

Fiserv adds data service for large merchants

Payments Dive

The payments processor’s new Carat point-of-sale offering aims to help big businesses optimize transaction data

Data 363

Beyond Open Banking Compliance: The Opportunity for Commercial Banks

Accenture

Open Banking, accelerated by the Consumer Data Right (CDR) in Australia, aims to give customers control of their data and….

Data Science Fails: Building AI You Can Trust

The new DataRobot whitepaper, Data Science Fails: Building AI You Can Trust, outlines eight important lessons that organizations must understand to follow best data science practices and ensure that AI is being implemented successfully.

What’s threatening data-driven growth for banks?

Accenture

There’s more data available to banks than ever before. Most commercial banks know that making better use of their data would have a significant impact on their business. As I discussed in my first post in this series, data can be used to improve a bank’s….

Data 408

Data Presentation Like a World-Class Banker

South State Correspondent

Sooner or later, you will need to present data to showcase your results. When making a data presentation, there is a boring way and an unforgettable way to do it. Data Presentation Framework. Change – What was the rate of change or absolute change of that data.

Data 195

Data Architecture: 10 Reasons Why It Should Be In Your Strategic Plan

South State Correspondent

Commodore’s demise is a case study of how NOT to care about your customers and why business intelligence through proper data architecture is critical. If you already have a data warehouse or plan to sell the bank in the next 12 months – please skip this article.

Data 195

Using Data For Bank Event Lead Generation

South State Correspondent

While the last couple of years has not been representative, we will go back to our 2017 data (below) and work backward since we have two years (about your average bank commercial sales cycle) of conversions after this event untainted by the pandemic.

Data 195

To solve business needs, set your bank’s data free

Accenture

In the first post in this series on data-driven mastery in banking Four ways data can improve banks’ bottom line, I discussed the many ways that data can help a bank’s bottom line. Commercial Banking Artificial Intelligence (AI) Data & Analytics

Data 295

How Banks Are Winning with AI and Automated Machine Learning

Banks have always relied on predictions to make their decisions. Estimating the risks or rewards of making a particular loan, for example, has traditionally fallen under the purview of bankers with deep knowledge of the industry and extensive expertise. But times are changing. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Read the white paper, How Banks Are Winning with AI and Automated Machine Learning, to find out more about how banks are tackling their biggest data science challenges.

Fed delivers mixed credit card data

Payments Dive

While first-quarter consumer credit card debt rose relative to the same period last year, it dropped compared to the fourth quarter. Meanwhile, consumers' outlook on the availability of credit deteriorated

Cards 329

What is data redundancy?

Dataconomy

Data redundancy means keeping data in two or more locations within a database or storage infrastructure. Data redundancy can occur either intentionally or accidentally within an organization.

Data 66

How cloud can solve your data challenges in M&A

Accenture

Continuing this train of thought, we’re looking here at where cloud can help with data integration in M&A, to go a step beyond and solve consolidation…. The post How cloud can solve your data challenges in M&A appeared first on Accenture Banking Blog.

Data 310

May Data Starts to Bloom

South State Correspondent

May Data Starts to Bloom. The post May Data Starts to Bloom appeared first on SouthState Correspondent Division. The May ISM Manufacturing Index is due at 10am ET and is expected at 54.5 vs. 55.4. The series has been softening of late, reaching a cycle high of 63.7

Data 195

How Banks Are Winning with AI and Automated Machine Learning

Banks have always relied on predictions to make their decisions. Estimating the risks or rewards of making a particular loan, for example, has traditionally fallen under the purview of bankers with deep knowledge of the industry and extensive expertise. But times are changing. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Read the white paper, How Banks Are Winning with AI and Automated Machine Learning, to find out more about how banks are tackling their biggest data science challenges.

Top 5 data science trends for 2023

Dataconomy

Data science trends are common in the market and advantageous to data scientists. To be successful in this field, data scientists must be knowledgeable of numerous data science trends. News Data Science Featured data science Data science trends

CFPB seeks to jettison ‘junk data’ in credit reports

Payments Dive

Companies must have policies and procedures to detect and remove inconsistencies and “obvious impossibilities” in credit data, the CFPB said

Report 195

Why The Data Breach Decline Is Bad News For Businesses

PYMNTS

The Interstate Technology & Regulatory Council (ITRC) released new data on the state of cyberattacks and data breaches with some surprising news: data breaches were actually down in 2020 year-over-year. 19 percent fewer data breaches occurred in the U.S.

Data 271

What is data governance?

Dataconomy

Data governance is becoming increasingly essential as businesses confront new data privacy regulations and rely more on data analytics to optimize operations and make business decisions.

Data 59

ABCs of Data Normalization for B2B Marketers

Data normalization. It’s not a far stretch to suggest that the topic isn’t exactly what gets marketers excited in their day-to-day workflow. However, if lead generation, reporting, and measuring ROI is important to your marketing team, then data normalization matters - a lot. In this eBook, we’ll break down the ins and outs of data normalization and review why it’s so critical for your marketing strategies and goals!

Four ways data can improve banks’ bottom line

Accenture

Banks that are mastering data-driven analysis to unlock a detailed understanding of their customers are using that information to drive tenfold returns on investment. The post Four ways data can improve banks’ bottom line appeared first on Accenture Banking Blog.

Data 296

Data and AI shape industries and create new opportunities

Dataconomy

Data analytics and artificial intelligence are changing how businesses decide their paths today. All we hear about is data these days. Data Science Artificial Intelligence Featured AI artificial intelligence Data Data analysis data analytics data science

6 best data governance practices

Dataconomy

What do data governance practices help for? Or we should ask first, do you know where to seek out particular data in your company, or who to contact for it?

Data 70

Big Data Explosion

Cisco CSR

The future of financial services will be shaped by the ability of financial institutions to extract and deliver more customer value from data. Those opportunities will rely on data and analytics for real-time decision making. Put simply, data is an untapped treasure trove.

The 2019 Technographic Data Report for B2B Sales Organizations

In this report, ZoomInfo substantiates the assertion that technographic data is a vital resource for sales teams. In fact, the majority of respondents agree—with 72.3% reporting that technographic data is either somewhat important or very important to their organization. The reason for this is simple—sales teams value technographic data because it makes essential selling activities easier and more efficient.

5 Lessons Using Bank Customer Lifetime Value Data

South State Correspondent

This article looks at five ways to use customer lifetime value data to make an immediate difference in bank performance. It takes about 15 minutes to set up by answering basic questions about the data and then running the model.

Data 195

Finastra to help clients improve customer data management

Bank Innovation

Banking technology company Finastra is enhancing the rollout of its customer data strategy as clients face new competition. As part of this effort, the London-based company hired Lisa Fiondella as its first-ever chief data officer in November.

Data 227

Data privacy: How to keep customer data safe

Independent Banker

But as the prevalence of security breaches grows, so do the opportunities for community banks to position themselves as guardians of their customers’ personal data through compliance, technology and relationship building. Data privacy and security is a hot topic and is only getting hotter.

Data 91

4 techniques to utilize data profiling for data quality evaluation

Dataconomy

Organizations can effectively manage the quality of their information by doing data profiling. Businesses must first profile data metrics to extract valuable and practical insights from data.

Data 54

Democratizing AI for All: Transforming Your Operating Model to Support AI Adoption

Democratization puts AI into the hands of non-data scientists and makes artificial intelligence accessible to every area of an organization. With the emergence of enterprise AI platforms that automate and accelerate the lifecycle of an AI project, businesses can build, deploy, and manage AI applications to transform their products, services, and operations. But in order to reap the rewards that AI offers, it is essential that businesses first address how their organizations are set up, from their people to their processes. Democratizing AI through your organization requires more than just software. It may require changing your operation models and finding the right guidance to realize the full breadth of capabilities.

The growth of data in banking is unstoppable

Accenture

Accessing this source of Big Data is simply the latest way for banks to deliver on their core promise: to listen to customers, create a…. The post The growth of data in banking is unstoppable appeared first on Accenture Banking Blog. Uncategorized Big Data Data-driven Banking Open DataBanks occupy a privileged and trusted position. Social media companies may have insight into what is attracting our attention, but banks can see what people are willing to pay for.

Data 296

Kount, Snowflake Team To Offer Customer Data Insights

PYMNTS

1) that it is working with data cloud provider Snowflake to provide enhanced, artificial intelligence- (AI) driven insights into customer behavior, according to an emailed press release. Data on Demand is the key to unlocking huge amounts of both new and existing data from many sources.”.

Data 199

JPMorgan: Using Transaction Data To Help Merchants Optimize Cash Flow

PYMNTS

As merchants accelerate their digitization roadmaps, the volume of data they’re able to work with increases. said Wimmer, who oversees the data and analytics efforts of firm’s payments-focused businesses. The Nine Levers Of Data Optimization.

Data 215

Brick by brick: Becoming a data architecture expert in 2022

Dataconomy

Data architects are leading experts in data-focused professions. Otherwise, without an expert opinion of data architecture, a business should. Data Science Featured data architect Data Architecture data engineer data science Data Scientist

Data 45

4 Data-Driven Steps To Drive Successful B2B Demand Generation

Fact: Good data lives at the core of every successful B2B demand generation strategy. Without quality data, it’s nearly impossible to identify and segment your target audience and create messaging that speaks to their values and interests. Whether you’re stepping into a new position or you’re new to demand generation, learning the tricks of the trade can be, well, tricky. In this eBook, you’ll discover how to improve your demand generation program—and your bottom line.