Gerhard  Brink

Gerhard Brink

1624272299

How Big Data and Open Banking Are Combining To Bring a New Era of Fintech-Driven Banking

For a long time, consumers expected personalization of their digital experiences, however, the pandemic has added a new layer of urgency to these expectations.

Introduction

The rise of technology and digital services has led to increasing customer demands for simplicity and speed. Banks and financial services institutions are continuously searching for new ways to retain and attract customers while aiming to respond to heightened consumer demand for personalized services. For this reason, customer-centric offerings continue to dominate the financial technology (FinTech) landscape.

Personalization takes advantage of real-time data and cutting-edge technologies to deliver product or service information to customers. In an extremely competitive financial services sector, there is more pressure than ever for FinTech companies to provide customers with a better experience.

A truly personalized financial experience is powered by data that can be harvested and meaningfully translated to create an individual experience. Open banking is also giving organizations a way to gain customer consent in order to access and interpret their financial data.

The socio-economic effects of the COVID-19 pandemic have revealed new changes in consumer spending. It has long been the case that consumers expected mass personalization of their digital experiences, however, the disruption to the global economic landscape caused by coronavirus has added a new layer of urgency to these expectations. Organizations must be able to adapt and innovate quickly to meet the demands of an evolving FinTech sector.

#big data #finance #accounting #fintech #bank #banking apps #banking business solution

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How Big Data and Open Banking Are Combining To Bring a New Era of Fintech-Driven Banking
Gerhard  Brink

Gerhard Brink

1624272299

How Big Data and Open Banking Are Combining To Bring a New Era of Fintech-Driven Banking

For a long time, consumers expected personalization of their digital experiences, however, the pandemic has added a new layer of urgency to these expectations.

Introduction

The rise of technology and digital services has led to increasing customer demands for simplicity and speed. Banks and financial services institutions are continuously searching for new ways to retain and attract customers while aiming to respond to heightened consumer demand for personalized services. For this reason, customer-centric offerings continue to dominate the financial technology (FinTech) landscape.

Personalization takes advantage of real-time data and cutting-edge technologies to deliver product or service information to customers. In an extremely competitive financial services sector, there is more pressure than ever for FinTech companies to provide customers with a better experience.

A truly personalized financial experience is powered by data that can be harvested and meaningfully translated to create an individual experience. Open banking is also giving organizations a way to gain customer consent in order to access and interpret their financial data.

The socio-economic effects of the COVID-19 pandemic have revealed new changes in consumer spending. It has long been the case that consumers expected mass personalization of their digital experiences, however, the disruption to the global economic landscape caused by coronavirus has added a new layer of urgency to these expectations. Organizations must be able to adapt and innovate quickly to meet the demands of an evolving FinTech sector.

#big data #finance #accounting #fintech #bank #banking apps #banking business solution

Siphiwe  Nair

Siphiwe Nair

1620466520

Your Data Architecture: Simple Best Practices for Your Data Strategy

If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.

If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.

In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.

#big data #data science #big data analytics #data analysis #data architecture #data transformation #data platform #data strategy #cloud data platform #data acquisition

Big Data Consulting Services | Big Data Development Experts USA

Big Data Consulting Services

Traditional data processing application has limitations of its own in terms of processing the large chunk of complex data and this is where the big data processing application comes into play. Big data processing app can easily process complex and large information with their advanced capabilities.

Want to develop a Big Data Processing Application?

WebClues Infotech with its years of experience and serving 350+ clients since our inception is the agency to trust for the Big Data Processing Application development services. With a team that is skilled in the latest technologies, there can be no one better for fulfilling your development requirements.

Want to know more about our Big Data Processing App development services?

Visit: https://www.webcluesinfotech.com/big-data-solutions/

Share your requirements https://www.webcluesinfotech.com/contact-us/

View Portfolio https://www.webcluesinfotech.com/portfolio/

#big data consulting services #big data development experts usa #big data analytics services #big data services #best big data analytics solution provider #big data services and consulting

Silly mistakes that can cost ‘Big’ in Big Data Analytics

Big Data has played a major role in defining the expansion of businesses of all kinds as it helps the companies to understand their audience and devise their business techniques in accordance with the requirement.

The importance of ‘Data’ has been spoken very highly in the modern-day business. Thus, while using big data analysis, the companies must keep away from these minor mistakes otherwise it could have a major impact on their performances. Big Data analysis can be the silver bullet that can answer your questions and help your business to scale newer heights.

Read More: Silly mistakes that can cost ‘Big’ in Big Data Analytics

#top big data analytics companies #best big data service providers #big data for business #big data technology #big data mistakes #big data analytics

Big Data can be The ‘Big’ boon for The Modern Age Businesses

The rapid growth of technology has led to many people opting for online services, and thus the collection and maintenance of data becomes a significant factor for any company. Big data analytics service providers can help the companies get a massive edge over their competitors as they would manage the data well and allow the businesses to make better business decisions. It will provide you with a combination of increased customer experience, revenue, and reduced cost and thus will create a win-win situation for your business. Big data technologies will be your perfect ally in excelling in the cut-throat business environment and come out with flying colors.

Read More: Big Data can be The ‘Big’ boon for The Modern Age Businesses

#big data analytics service providers #top big data analytics companies #impact of big data on businesses #best big data consulting firms #big data #big data for businesses