close
digital twins

The rise of digital twin technology: The next ‘big thing’ in BI

Business Intelligence

Table of Contents

As business owners, everyone dreams of seeing their business grow, make profit, and be a global leader someday! The fuel for harnessing this growth for businesses in all sectors has been – data.
Data is the fundamental resource that drives a company’s business strategy roadmap. The progress report of any business can be estimated by analysing the amount of data it generates and utilises for its operation. There are multiple sources from where the raw data is being collected and put together to generate structured information that is supplied to day-to-day business decisions.
Nowadays, most businesses fail to make optimum use of the data generated which causes them to miss out on essential opportunities and upscale their ideas to new horizons of the industry.
Business analytics has been emerging as a business-friendly practice to help businesses address their data management issue. Efficient business analytics, combined with their tools, makes it possible to organise and filter the data for businesses to make significant decisions and determine the future of any organisation.
The business environment has become unpredictable, and accomplishing sustainability in the industry is a new challenge. Businesses have started getting answers to this unpredictability with Business Intelligence and its tools.
BI and its tools constantly evolve to produce more effective and genuine reports and analytics. The key concepts in the evolving BI domain are unstructured data processing and digital twins.

Unstructured data and its importance

Any organisation has many sources of unstructured data, which forms the information base. Without unstructured data, any organisation won’t feel the need for BI tools.
Some best examples of unstructured data are the raw data received in invoices, records, documents, etc. Organisations constantly realise the importance of Business Intelligence, which demands more and more quality data for their business decisions.
Digital twins are the next big thing in BI and the greatest resource for getting true insights and predicting the best possible outcomes. All businesses have their eyes on digital twins, and extensive research is being done to learn more about their application in designing efficient development strategies.
Let’s understand how companies are making their data better and improving their quality with digital twins.

Knowing more about digital twins

Digital twins represent natural life objects and assets in the digital format. They contain the three-dimensional properties, their working, and information about any real-life asset.
When this information is combined with suitable tools, we get detailed insights about any object like logs, records, stock availability, etc. The digital twin allows the business to view various products’ insights at all in a single place.
Over time, this concept of digital twins has evolved a lot. More and more businesses are shifting from traditional product management to digital twins for their inventory management, processes, etc.

How do you choose digital twins?

When choosing the digital twin, it is essential to have in-depth knowledge about any business, its process, scope, etc. Selecting the digital twins requires careful and deep study of the industry segment where it is being utilised. It is necessary to consider even the smallest element used while choosing the most suitable digital twin.
Digital twins may not be the best solution for many businesses or sectors, but they are a great way to manage the business and perform essential decisions effectively.

How are BI and digital twins impacting the future of businesses?

Companies can apply digital twins to optimise their IoT applications and improve their efficiency to deliver the best results.
The top reasons why organisations are opting for digital twins are as follows:
  • It helps to cut down and reduce the costs.
  • The organisations get an opportunity to upscale their technology infrastructure.
  • They optimise their marketing for new products and services.
  • It brings an opportunity to revamp their existing business models.
  • They help increase and focus more on customer-centricity.
  • It helped in Increasing employee safety and improving sustainability.
Conclusion: The future is technology, and data has been the driving force of all business concepts. The faster companies adapt to BI and its tools, the better we’ll see growth in the industry.  Business Intelligence is still a growing area, and there’s much more to explore.
By