Why Digital Transformation Rely on Continuous Intelligence?
In the coming years, a lot of questions will be raised on how technology trends made an impact on the business world. How, when, and why this digital transformation happened and became essential in the enterprise. The worldwide spread of digital transformation, efficiency in business growth in the direction of digital dependence, and the COVID-19 might all be the answers.
2021 is going to be defined by COVID-19 and all the transformations in the business world. Which are revolving around this one moment of COVID-19 spread. Suddenly the whole world is dependent on technology and those who have not yet adopted the digital transformation are now converting to it seeing the benefits and ease in the capitalization of their products.
All these changes indicate the use of Continues Intelligence across multifunctional disciplines. These changes are fundamental because of the reason that the software is no more the realm of only software companies like Microsoft or Oracle. Now is the time when all the businesses are becoming software companies due to the digitalization of businesses. The applications that they develop are according to their business model and customer requirements. However, they have to go through and complete a new set of processes, practice, and intelligence to become finely tuned, relevant, viable, and successful. The levels that those applications go through are structural, architectural, and other processing changes:
The software lifecycle
There is a shift from waterfall multi-year software development cycles to agile development in which the teams of DevOps or DevSecOps work together to push code production environments many times a day.
Companies have started to rely on the Public cloud to save their data. Instead of private and hybrid data to increase the agility of their businesses.
This becomes an easy process when the use of containers, and orchestration software, like Kubernetes increases. This also manages the underlying infrastructure resources to execute microservices.
Following all these steps companies can get a high level of advantage and growth. . But there is a need for real-time intelligence to direct the development, reliability, scalability, and security of these digital services. This is due to the reason that their underlying infrastructure has now become automated, visualized, ephemeral, and complex.
The digital service applications run on a large number of containers. There is no need to manage a few hundred servers to drive their off-the-shelf or ERP applications. These containers have 50% of the time a lifespan of fewer than 30 minutes. Having real-time intelligence also requires an analytics system to keep the track of magnitude and more data streams.
Digital Transformation is Important
With these trends continuous intelligence- analytics approach for digital services is getting high importance. Streaming of machine data from all the infrastructure, compute nodes, devices, and applications. Which make up digital services into real-time analytics to monitor, troubleshoot, and secure those digital services. As well as to empower business teams with insights needed to improve business operations in real-time is possible because of continuous intelligence.
The COVID-19 pandemic and recent Sumo Logic survey are two recent data points that help to grow traction of continuous intelligence as the analytics approach for digital transformation.
In the last three months, for example, it is observed that the retail of our subset of retailers is three to four times greater than what was projected by retail industry analysts for the full year 2020.
This proves that the investors in digital transformation are gaining a significant amount of advantage. This is a good observation for industrialists and investors that digital transformation is real rather than a myth. Those who invest now will pull away in market share and digital customer acquisition faster than those who don’t.
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Last Modified: April 6, 2021 at 12:31 pm