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Banking Essentials - Part I

This pathway will walk us through the basics of banks, starting with some of the different types and their main functions, then starting to look at the regulation faced by the banks, both before and after the Global Financial Crisis.

Greenwashing

Greenwashing is the act of distributing false information about something being more environmentally friendly than it actually is.

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Our Platform

Expert led content

+1,000 expert presented, on-demand video modules

Learning analytics

Keep track of learning progress with our comprehensive data

Interactive learning

Engage with our video hotspots and knowledge check-ins

Testing & certification

Gain CPD / CPE credits and professional certification

Managed learning

Build, scale and manage your organisation’s learning

Integrations

Connect Finance Unlocked to your current platform

Featured Content

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Tackling the Cost of Living Crisis

In this video, Max discusses the cost-of-living crisis currently enveloping the UK. He examines its impact on households as well as the overall economy.

CSR and Sustainability in Financial Services

In the first video of this two-part video series, Elisa introduces us to sustainability. She begins by looking at the difference between sustainability and corporate social responsibility, two terms that can be easily confused.

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Featured Pathways

More pathways

Banking Essentials - Part I

This pathway will walk us through the basics of banks, starting with some of the different types and their main functions, then starting to look at the regulation faced by the banks, both before and after the Global Financial Crisis.

Greenwashing

Greenwashing is the act of distributing false information about something being more environmentally friendly than it actually is.

More pathways

Book a demo

Ready to get started?

Our Platform

Expert led content

+1,000 expert presented, on-demand video modules

Learning analytics

Keep track of learning progress with our comprehensive data

Interactive learning

Engage with our video hotspots and knowledge check-ins

Testing & certification

Gain CPD / CPE credits and professional certification

Managed learning

Build, scale and manage your organisation’s learning

Integrations

Connect Finance Unlocked to your current platform

Featured Content

More featured content

Tackling the Cost of Living Crisis

In this video, Max discusses the cost-of-living crisis currently enveloping the UK. He examines its impact on households as well as the overall economy.

CSR and Sustainability in Financial Services

In the first video of this two-part video series, Elisa introduces us to sustainability. She begins by looking at the difference between sustainability and corporate social responsibility, two terms that can be easily confused.

More featured content

Book a demo

Ready to get started?

Book a demo

Ready to get started?

Big Data

Big data is a term applied to data sets whose size or type is beyond the ability of traditional relational databases to capture, manage, and process the data with low-latency. While the term “big data” is relatively new, the act of gathering and storing large amounts of information for eventual analysis is old. The concept gained momentum in the early 2000s when industry analyst Doug Laney articulated the now-mainstream definition of big data as the three Vs: Volume, Velocity and Variety. Volume. Organizations collect data from a variety of sources, including business transactions, social media and information from sensor or machine-to-machine data. In the past, storing it would’ve been a problem – but new technologies (such as Hadoop) have eased the burden. Velocity. Data streams in at an unprecedented speed and must be dealt with in a timely manner. RFID tags, sensors and smart metering are driving the need to deal with torrents of data in near-real time.Variety. Data comes in all types of formats – from structured, numeric data in traditional databases to unstructured text documents, email, video, audio, stock ticker data and financial transactions. Other concepts later attributed with big data are veracity (i.e., how much noise is in the data) and value Analyzing big data allows analysts, researchers, and business users to make better and faster decisions using data that was previously inaccessible or unusable. Using advanced analytics techniques such as text analytics, machine learning, predictive analytics, data mining, statistics, and natural language processing, businesses can analyze previously untapped data sources independent or together with their existing enterprise data to gain new insights resulting in better and faster decisions.

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