[ad_1]
In 2016, Dell Technologies commissioned our first Digital Transformation Index (DT Index) survey to monitor the growth of companies worldwide. We have conducted this study every two years to see how the business is growing.
Sam Grocott is Deputy Vice-Chancellor at Dell Technologies.
Our third part of DT Index, launched in 2020 (the year of the epidemic), revealed that “data overload / failure to recognize information from multiple sources” was the third most disruptive change, starting at 11th in 2016. This is a major jump from the bottom to the top of the digital transition barrier.
Their findings point to a surprising breakthrough – knowledge can be the first business to prevent change as well being their greatest asset. To find out more about why these surprises exist and where businesses need more help, we launched a survey with Forrester Consulting to dig deeper.
The survey conducted, based on a survey conducted by 4,036 major decision-makers who are responsible for the performance of their companies, called: Disclosure of Information Conflict Problems for Businesses Around the World, is available for you to read now.
In particular, this research confirms our concerns: over the past decade, information has become more complex and profitable in many businesses — depending on how well the business can process data.
As Forrester outlines a number of distractions that are hampering business today, three major oppositions stood out to me.
1. This amazing thing
Two-thirds of those surveyed would say that their business is driven by data and that “information is very important to their company.” But only 21% claim to take data as capital and prioritize its use in business today.
Obviously, there is a link here. In order to make it clearer, Forrester created a component of how businesses process data (see photo).
The results showed that 88% of businesses have not yet advanced their data technology and systems and / or their culture and skills. Instead, only 12% of businesses are known as Data Champions: companies that are involved in both aspects (technical / method and cultural / technical).
2. “Seeking more than they can handle” is confusing
The study also shows that businesses need more, but they have more to do right now: 70% say they are collecting data faster than they can analyze and use, yet 67% say they need more than they can afford.
While this is confusing, it is not surprising when you consider the results of this research, such as the number of companies that have not yet had the opportunity to connect boardrooms and return to an IT approach that cannot be climbed (e.g., connecting to a vast array of information).
These amazing results are huge and far-reaching. Six out of ten businesses are struggling with knowledge silos; 64% of respondents complain that they have too much information that they cannot meet the requirements for follow-up, and 61% say that their groups are frustrated with what they have.
3. The paradox of “seeing without doing”
Although the economy has been struggling during the epidemic, the demand for it has grown exponentially, with the addition of new data sales, retail outlets where they pay for what they use and only use what they need – depending on what they make and analyze.
Although these businesses are coming out, and are doing very well, they are still in the minority. Only 20% of companies have moved most of their jobs and construction into the type of work — even more than 6 out of 10 believe that a type of service can help companies become more efficient, efficient, and service-based without difficulty.
Achieving success together
This research is interesting, but there is hope. Entrepreneurs are looking to change their system systems and multi-cloud formats, moving to data-as-a-service systems and transforming data systems and learning machines.
Of course, they have a lot to do to open pumps to increase. However, there is a way forward, initially to change their IT equipment so that they can better understand where they live, on the margins. This includes bringing tools and applications closer to where data should be captured, analyzed and implemented – preventing the spread of data, while maintaining the form of multiple clouds.
Second, in the process notification pipes, so that data flows smoothly and securely is amplified by AI / ML; and third, by designing programs to deliver customer preferences according to their needs.
The sheer volume, versatility and speed of data information may seem overwhelming but with the right expertise, method and culture, businesses can manage the beast, and re-create it, and create new profits.
To learn more about this study, visit www.delltechnologies.com/dataparadox.
This was developed by Dell Technologies. It was not written by the authors of the MIT Technology Review.
[ad_2]
Source link
