IoT

In a MuleSoft survey of 651 IT decision-makers from enterprises with more than 1,000 employees, respondents said integration was a major barrier to digital transformation.

And organizations have a lot to integrate; on average, companies with more than 1,000 employees use more than 1,000 individual applications in all of their businesses.

Integration between systems, the pitfall of digital transformation

A common way for businesses to connect applications to each other is to custom code their applications and APIs, often referred to as point-to-point integration.

However, for a company with more than 1,000 applications, this level of tight coupling can create problems when changes, evolutions, or updates occur.

IT decision-makers say that on average, only 29 percent of their business applications are currently integrated or connected.

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Digital disruptions continue to weigh heavily on businesses of all sizes and in all sectors, as consumers, customers, employees and partners now expect everything to be accessible on demand, at all times; in short, everything needs to be fully connected.

If your business is already in tune with the digital age, great!

Otherwise, “it’s time to wake up” because we are no longer in the era “the biggest eats the smallest” but rather “the fastest eats the slowest”.

In this second post, which relates the MuleSoft (Connectivity Report) survey of 650 IT decision-makers from companies, more than 1,000 employees, from the US, Australia, Germany, England, Netherlands, Singapore and China, we will focus on the challenges faced by IT decision-makers in their digital transformation project.

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So the combination Big Data plus IoT will enable predicting and personalizing in real-time Clients Relationships, do risks analysis, redesign products by extrapolating the impact of some functionalities, offer custom heath care, reduce maintenance costs, up date your website in real-time, identify new opportunities, etc.

Or so they say!  Why?  How?

Big Data is basically the analysis of astronomical quantity of data so to extrapolate patterns and therefore predict behaviours, be it consumers or machines, consumer behaviour and satisfaction or performance and durability, etc.

So if you put together,  Big Data plus IoT, you now have access to the physical world of connected objects, and to data from M2M (Machine to Machine) relationships but also M2P / P2M (Person to Machine).

The more Big Data plus IoT will accumulate data over the longer period of time, the more its predictions will be right and sound…

And this formidable combination of Big Data plus IoT is already running at full speed as we speak, changing our lives even though we are not aware of it. Having doubts?  Well, read this carefully:

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Major disruptions in Banking and Financing on the horizon; thanks to new technologies from Big Data Analytics to Mobile Apps that are reshaping this sector at a fast pace, resulting in new ways for companies and customers & consumers to interact, to manage their money and to conduct transactions.

Global investment in Fintech ventures hit $5.7 billion in the first quarter of 2016, and about half the funding went to projects in Asia, primarily in China. “The reason funding is taking off now is that the four platforms – Mobility, Big Data (IoT) and Analytics, Blockchain Technology (Bitcoin) and Machine Learning (AI) – are in their infancy,” said Catherine Wood, CEO of ARK Investment Management (US) at the Annual Meeting of the New Champions in 2016.

The fact is that Banking and Financial Services is one of the largest industries that is still not fully digitalized. In this field of activities, the technological revolution has just begun.

So let’s see what we’re up to and what major disruptions we may foresee.

Overview of upcoming disruptions in Banking and Financing

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