Within the scope of this digital transformation summary, we have a tendency in the main study of business dimensions. The development of the latest competencies mentioned above revolves around the capacity to be more agile, people-oriented, innovative, customer-centered, efficient, economical and able to encourage/increase opportunities to diversify opportunities and taps into a variety of new information and service-based income.
The efforts and techniques of digital transformation are usually mandatory and additional rewards in markets with high levels of commoditization. Current and future shifts and changes, which result in the need for faster preparation of digital transformation strategies, can be caused by many causes, usually at the same time, at the level of client behavior and expectations, new economic realities, social change (eg populations that aging), ecosystem / industrial disturbances and (rapid adoption and innovation regarding) emerging or existing digital technologies.
In observing, optimizing end-to-end customer experience, operational flexibility and innovation are the main drivers and goals of digital transformation, along with the latest revenue sources and valuable ecosystems of information, resulting in the transformation of business models and new types of digital processes. However, before arriving there is a key to uncovering internal challenges in addition to, among other things, the number of legacy systems and the breakdown of processes, where internal goals are unavoidable for the following steps
Digital information is stored using a series of ones and zeros. Computers are digital machines because they can only read or turn off information – 1 or 0. This calculation method, also known as a binary system, may seem rather simple, but can be used to represent an extraordinary amount of data. CDs and DVDs can be used to store and play high-quality sound and videos even though they consist of ones and zeros.
Unlike computers, humans feel information in analog. We capture auditory and visual signals as continuous flow. Digital devices, on the other hand, estimate this information using numbers one and zero. This level of estimation, called “sampling rate,” combined with how much information is entered in each sample (bit depth), determines how accurate the digital estimate is.
For example, audio CD tracks typically sample at 44.1 KHz (44,100 samples per second) with 16 bit bit depth. It provides a high quality estimate of analog audio signals that sound realistic in the human ear. However, higher quality audio formats, such as DVD-Audio discs, can be sampled at 96 KHz and have a depth of 24 bits. The same song that plays on both disks will sound smoother and more dynamic on DVD-Audio discs.
Because digital information only estimates analog data, analog signals are actually more accurate than digital signals. However, computers only work with digital information, so storing data digitally makes more sense. Unlike analog data, digital information can also be copied, edited, and transferred without losing any quality. Because of the benefits offered by digital information, this has become the most common way to store and read data.