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

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Kroger Reports Data Breach; Customer Data Hacked

PYMNTS

Kroger has confirmed it was among the companies affected by the data security incident that hit Accellion , according to a press release. Chairman Jay Clayton said corporate America needs to do more to make sure its data is safe.

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Online Shopping Trends: Mobile Payments Are Mighty

Mobile Payments Today

He shares data and insight on how 2020 may have changed shopping forever The holiday online shopping trend jumped from over 13% in 2019, to nearly 20% in 2020, according to Mastercard. Jordan Reynolds leads the e-Commerce and Marketplace verticals at Ekata.

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Safety First: How to Handle Supplier Banking Data

ATM Marketplace

She shares with ATM Marketplace her insight and more than 30 years of leadership in banking how to safely handle customer data Angela Anastasakis is the senior vice president of operations and customer success for Nvoicepay, a FLEETCOR Company.

5 Things a Data Scientist Can Do to Stay Current

DataRobot together with Snowflake – a leading cloud data platform provider — is helping data scientists stay current with the latest technology and data science best practices so that they can excel in an increasingly AI-driven workplace. Five Things a Data Scientist Can Do to Stay Current offers data scientists guidance for thriving in AI-driven enterprises.

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.

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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.

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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.

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Credit union leverages data to launch pandemic products

Bank Innovation

Sound Credit Union is leveraging the data of its members to understand how their banking behaviors and needs are shifting during the pandemic, and which financial tools to prioritize to better meet those needs. “We

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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.”.

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Why B2B Contact and Account Data Management Is Critical to Your ROI

64% of successful data-driven marketers say improving data quality is the most challenging obstacle to achieving success. Given data’s direct impact on marketing campaigns, reporting, and sales follow-up, maintaining an accurate and consistent database is a top priority for B2B organizations. This latest eBook aims to help marketing leaders understand the impact of data management on their company’s ROI.

Industry consortium on financial data sharing adds 25 new members

Bank Innovation

The Financial Data Exchange, an nonprofit industry consortium dedicated to unifying the financial industry around a common standard for secure and convenient consumer and business access to financial data, this week confirmed that it had added 25 new members in the second half of 2019.

Kukun Remodels Home Improvement Data To Expand Into InsurTech

PYMNTS

A home is the largest investment that most consumers will make in their lifetimes, meaning that going into it with as much data as possible is always going to be the best course of action. Data on homeownership has become more important than ever.

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AI, machine learning, data and Nordic banks

Chris Skinner

The meeting focused upon data: data usage, data analytics, data leverage and data privacy. It was an interesting meet-up … The post AI, machine learning, data and Nordic banks appeared first on Chris Skinner's blog. Last week we had our first meetings of Nordic Finance Innovation, the largest networking group in the Nordic region for people involved in finance and technology which I happen to chair.

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Sustainable finance starts with data and technology

Accenture

At present, the lack of disclosure of environmental, social and governance (ESG) data by many corporations creates asymmetric information. The post Sustainable finance starts with data and technology appeared first on Accenture Banking Blog. Uncategorized Big Data Sustainability

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!

Telegram: Breach Exposed Millions Of Users’ Data

PYMNTS

Messaging app Telegram said a data breach has exposed a database containing the personal information of millions of users, according to a Cointelgraph report. Data breaches have not slowed during the pandemic.

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US Retailers Confront Data Privacy Shifts

PYMNTS

Collecting and sharing data is a critical part of business today — especially during this period where most work and payments are being conducted online — and that means regulators have tough choices to make when determining what banks, businesses or even consumers have access to data and why.

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Amazon Expands Data-Driven Fashion Push

PYMNTS

But if a firm were looking to collect a lot of customer fit data for their fashion business, T-Shirts are a pretty obvious place to start since they’re inexpensive enough to be highly accessible to consumers.

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NJ Legislators Propose Tighter Data Privacy Regulations

PYMNTS

Lawmakers in New Jersey are proposing a bill to solidify data privacy guidelines and inflict tougher limits on the tech industry, The Wall Street Journal reported on Monday (March 2). New Jersey joins Washington, Illinois and other states and regions in introducing data privacy laws.

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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.

EU Ruling Limits Personal Data Transfer To The US

PYMNTS

The top court of the 28-nation bloc ruled the transfer of personal data to platforms in the U.S. The decision on Thursday (July 16) ends a data transfer agreement between the EU and the U.S. Tech advocates have said the court’s ruling to prohibit data transfers to the U.S.

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Bankers and aggregators disagree on data-sharing approaches

Bank Innovation

While data aggregators and bankers participating in the forum agreed on the principle that consumers should have the right […].

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Poland country data-sheet

Mobile Payments Today

Country data-sheet: mobile payments in Poland

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Utility Data’s New Identity

PYMNTS

There are plenty of high-tech ways to verify a customer’s identity — fingerprints, voiceprints, faceprints, phone data. Traditional utility data has been a source of, and a good way to verify, identification,” Malik explained. “It’s Urjanet is a platform meant to bridge that digital divide for consumer utility data by collecting and aggregating it into a secure, digitally shareable form, and turning it loose as a tool for businesses to apply to a variety of consumer interactions.

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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.

How Fifth Third creates a data-driven CX

Bank Innovation

Melissa Stevens, chief digital officer of the 160-year-old Fifth Third Bank, is using data to advance the bank’s innovation and customer service strategy, one that hinges on being a relationship-based bank.

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How the CFPB can better regulate data sharing

Payments Source

Data privacy Data privacy rules CFPB

Financial Services firms turn to data ethics to manage digital risks

Accenture

The post Financial Services firms turn to data ethics to manage digital risks appeared first on Accenture Banking Blog. Uncategorized cybersecurity Data & Analytics Fintech

The data lakehouse: just another crazy buzzword?

Dataconomy

Data professionals have long debated the merits of the data lake versus the data warehouse. Big Data Contributors Data Science Featured data lake data lakehouse Data Warehouse

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.

Fintech task force deliberates pros and cons of ‘big data’

Bank Innovation

quintillion bytes of data are created every single day. As such, lenders are collecting vast amounts of consumer information and calling it “big data,” a key product to generate insights, support decision making, and enable automation. More than 2.5

Overcoming The Pre-Accounting Hurdle Of Data

PYMNTS

However, other players have warned that, despite the promises of technology, accountants have yet to elevate their positions into a more strategic collaboration with SMBs — manual data entry remains one of the largest burdens, for instance. Data Integration Opportunities.

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3 Fintech Data Analytics Startups to Watch

Bank Innovation

Financial institutions harnessing the power of big data must glean meaningful insights from many disparate data sets. Several startups helping banks and financial institutions make sense of data, alternative and otherwise, have emerged. Compliance Exclusive Innovations Insurance Open Fintech Risk Startups 3 Startups to Watch AI data analytics machine learning

Remote work heightens risk of data breach

Bank Innovation

Carousel Corporate Banking Exclusive Innovation Strategy Lending Premium Retail Banking Security & Risk Aite Group cybersecurity data breach Procircular remote work Security security risk two-factor authentication VPNAs financial institutions transition employees to working remotely during the coronavirus pandemic, cybersecurity threats have made them more vulnerable, according to information and cybersecurity experts.

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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.