In the data decade, data can be both a benefit and a burden.

In 2016, Dell Technologies studied our first Digital Transformation Index (DT Index) to assess the digital maturity of businesses around the world. We have since launched this study every two years to track the digital maturity of the business.

Sam Grocott is Senior Vice President of Business Unit Marketing at Dell Technologies..

The third installment of our DT Index, which began in 2020 (the year of the epidemic), revealed that “data overload / inability to extract insights from data” was the third highest ranking obstacle to change, ranking 11th in 2016. Was on There is a huge leap from top to bottom in the classification of barriers to digital transformation.

These results point to a curious contradiction. While To find out more about why this contradiction exists and where businesses need help the most, we began a study with Forrester Consulting for deep digging.

The resultant study is based on a survey of 4,036 senior decision makers who are responsible for their companies’ data strategies, entitled: Unveiling Data Challenges Facing Businesses Around the World, Available for reading right now.

Clearly, the study confirms our concerns: in this decade of statistics, data has become both a burden and a benefit for many businesses-depending on how businesses prepare for the data. May be.

As Forrester points out the numerous data paradoxes that hinder business today, three major contradictions emerge for me.

1. Contradiction of idea.

Two-thirds of respondents say their business is data-driven and the state is “data is the lifeblood of their organization.” But only 21% say they value data and prefer to use it in business today.

Clearly, there is a disconnect. To provide some explanation, Forster developed a reasonable scale of business data preparation (see statistics).

The results show that 88% of businesses still have to advance their data technology and processes and / or their data culture and expertise. In fact, only 12% of businesses are described as data champions: companies that are actively involved in both fields (technology / processes and culture / expertise).

2. “They want more than they can handle.”

Research also shows that businesses need more data, but they still have a lot more data: 70 say they’re collecting data faster than analytics and usage, yet 67% say they need more data than their current capabilities.

While this is a contradiction, it is not at all surprising when you consider research thoroughly, such as the proportion of companies that have not yet secured data advocacy at the boardroom level and come back to IT strategies. There are things that can’t be scaled (that is, bolting on more data leaks).

The implications of this contradiction are deep and far-reaching. Six out of 10 businesses are fighting data cycles. 64% of respondents complain that they have so much data capacity that they cannot meet security and compliance requirements, and 61% say their teams are overwhelmed by pre-existing data.

3. “Seeing without seeing” contradiction.

Although economies have suffered during epidemics, the on-demand sector has expanded rapidly, igniting a new wave of data before, data-anywhere businesses that pay for their use and only their own needs. Use according to And analyze.

Although these businesses are emerging, and doing great work, they are still relatively small in number. Only 20% of businesses have switched most of their applications and infrastructure to service models – although more than 6 out of 10 believe that service models will enable firms to be more agile, scalable and deliverable. Applications without complications

Achieving success together.

This research is serious, but there is hope on the horizon. Businesses want to rethink their data strategy with a multi-cloud environment, moving toward data as a service model and automating data processing through machine learning.

Well, at least they didn’t go down without explaining themselves first. Still, there is a way forward, first by modernizing their IT infrastructure so that they can meet the data where it lives, on the edge. This includes bringing businesses’ infrastructure and applications closer together where data needs to be captured, analyzed and processed – while avoiding data spread, while maintaining a consistent multi-cloud operating model. ۔

Second, by improving data pipelines, so that data can flow freely and securely while being enhanced through AI / ML. And third, personal, integrated experiences by developing software for customer delivery.

The astonishing amount of data, variety and speed may seem more powerful but with the right technology, process and culture, business can overcome the beast of data, innovate with it and create new value. Can

Visit to learn more about the study.

This content is developed by Dell Technologies. This was not written by the editorial staff of MIT Technology Review.

Leave a Reply

Your email address will not be published.