Big Data

According to Harvard Business Review, before thinking about AI and Big Data, companies should think Data Strategy because cross-sectoral studies show that, on average, less than half of an organization’s structured data is actively used to make decisions and less than 1% of its unstructured data is analyzed or used.

More than 70% of employees have access to data that they should not, 80% of the time of analysts is devoted to the discovery and preparation of data. Data breaches are common, unreliable datasets are spreading in silos, and enterprise data technology often does not live up to demand.

Having a Chief Data Officer (CDO) and a data management function is excellent but not necessarily possible in all organizations. On the other hand, each organization should, at its level, define a coherent strategy for the governance, analysis and deployment of information assets (data).

In short, a Data Strategy!

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According to a recent New Vantage Partners study, many large firms are still lagging behind and not making the most out of the 3 sources of actionable data for the benefit of their company. However, everyone is gargling Big Data and Artificial Intelligence in recent years; amazing, no?

Even more, according to another Forrester study, 73% of enterprise data is not used!

The good news is that all companies can still do well with the implementation of a Data Strategy. Especially since the main obstacle to implementing such a Data Strategy is the “People”, according to New Vantage Partners.

Towards a data-driven enterprise culture

Indeed, the same study reveals that for nearly 50% of companies, Personnel is the main source of resistance to change towards a data-driven enterprise culture.

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While diving in Big Data and Artificial Intelligence is booming, many companies are still struggling to take full advantage of their business data, leaving dormant an underutilized asset with enormous potential.

Which is surprising to say the least since the vast majority of companies have implemented technologies that have accumulated billions of billions of data over the last two or three decades. We are talking about Big Big Data.

Your business data, an underused or underestimated asset?

A recent New Vantage Partners survey of 60 large companies, reviewed by Harvard Business Review, revealed that the majority of these companies have plunged into the world of analytics for a long time but very few have actually implemented a data-driven enterprise culture.

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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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Everybody knows that, Big Data comes with its data cleaning and labeling issues prior to revealing its magic, you have to properly feed the Big Data visualization tools with the right data. That’s for Big Data.

But what about enterprises, what’s their excuses for not making the most of their data and not acting upon priceless customer insights provided by their, who knows, BI experts, Dashboards Metrics, IT Consulting Firm, CRMs, Databases drilling, etc.? None really, considering the incredible technology budgets CMOs have been granted in the last decade or so… because, let’s be honest, the responsibility mostly falls on the shoulders of CMOs, they’re the ones that should be looking for such valuable data to enhance the customer experience and better understand the customer journey.

But the fact is: “only 28% of businesses believe they are generating strategic value from the data they collect,” based on numbers from Business News Daily. Blame it on the CMOs. Well, that’s what C-suite’s have been doing, grading them only “C” in 2015, in terms of efficiency. (source: VisionEdge Marketing)

So, the pressure is on for CMOs to get good at data… very good and very fast!

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The main Big Data problem today is that data still has to be labelled and categorized manually and this is what keeps the marvels of Big Data out of reach for most enterprises. Some may argue there might be an even bigger Big Data problem for businesses operating in th real world.

Big Data is getting… well, pretty big, especially when coupled with IoT. It is expected to change the landscape of Marketing, and of the way businesses do business, by enabling predictability of sales and customers’ needs and expectations, thanks to real-time analysis and visualizations of huge amount of structured and unstructured data gathered from the digital realm (mobile apps, web, website, social media, etc.).

And that’s great if you’re a large company with large resources, with big budgets and big clients, mostly operating in the digital world and producing huge amount of data to dive into so to extract those Marketing Intelligence pearls that will provide you with a competitive edge.

Many predict that Big Data-savvy will be a must of the next generation CMOs’ successful profile.

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Most companies, even if they don’t know it, already have way much more data than they can efficiently handle; they are literally drowning under data! So, do you believe the Big Data promise? That it’ll make a difference in your business performance and profits?  Not so evident!

But first, let’s see what we are talking about?  What is Big Data?

And when did it turn out to be BIG?

The true nature of Data and the Big Data promise

Data comes in two forms: structured and unstructured. When you join the two, it becomes Big, really BIG.

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This is Big Data era right? And everyboy is just so happy with all this new Intelligence pouring in and all these KPIs literally falling from the skies which will all of a sudden enlighten us and magically empower us with infallible decisions and grant us assured success, right?

And we’re all writing down new figures of « big-data augmented » sales and revenues and God knows just how fantastic everything will be from now on for us all!

Well, the thing is I don’t want to kill it for you all but really, don’t you feel that as CXO we’re all already pretty much flooded with data, information et metrics of all sorts?

Two considerations I’d like to submit to you.

Question of Intelligence, what KPIs and not even Big Data will ever tell you!

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