Artificial intelligence

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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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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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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