While technology and software tools are preparing the world for a new era, the business world is also taking its share. The concept of digital transformation has been supported by many industry experts since 2012, allowing companies to update their business models. Technologies such as data analytics tools, artificial intelligence and cloud computing services are contributing to the development of digital transformation in companies.
This process has now become important for all types of companies, as businesses implementing digital transformation models are seeing better results in many respects. Reasons such as new standards, growth opportunities and competitive advantage are instrumental in the involvement of companies in the digital transformation process. So, what is digital transformation, what are the steps of digital transformation?
One of the concepts that has been vital in every business in recent years is digital transformation. The term, also known as Digital Transformation, is often confused with other concepts such as digitization and digitization, and it promises much more for businesses. Digitization means using digital technologies in in-house business processes, while digitization can also be defined as converting analog data into a digital version.
Digital transformation can be explained as the process of determining how to benefit all work-related processes, technologies and employees to achieve company goals. Using digital technologies to create value and generate more income by renewing business models supports the digital transformation process. The digital transformation process connects employees and business processes in areas such as ERP, operations and customer service. Digital processes that improve the quality of products and services and improve the customer experience help businesses become more efficient and profitable.
The digital transformation process, which takes processing to an advanced level, contributes to the success of companies when carried out under the br roadmap. The stages of the digital transformation process, which offer many advantages, from developing collaboration to optimizing workflow, are as follows:
Successful implementation of digital transformation processes for companies brings many benefits. The benefits of digital transformation offered to businesses by operational processes supported by digital elements are as follows:
Combining business processes with next-generation tools and strategies means more sales, more opportunities, and more opportunities for businesses to easily keep up with innovations.
Thanks to the digital transformation, which means development with Industry 4.0, many enterprises create important values in their sector. Examples of digital transformation that digital transformation processes bring to different sectors are as follows:
With digital transformation elements that support creating effective digital marketing processes, companies increase their chances of attracting new leads at lower costs. Thanks to tools such as email, mobile messaging, mobile app, social media and website, it is possible to communicate with customers through many different digital tools and stay in touch with them more.
Investing in IoT-enabled tools in manufacturing processes and improving production channels play an important role in improving production capacity and maintenance processes. This leads to more efficient and profitable operations in manufacturing enterprises. Production work carried out with augmented reality applications can also make a difference in order to receive specialist support from remote locations and provide staff training.
Along with the digital transformation process that becomes active in the retail process, devices or platforms are offered that are specially created according to customer needs. Thus, a personalized customer experience becomes possible as the customer experience moves to the top. In-store sales and event processes can be successfully executed with digital tools that also make a difference in in-store shopping.
Digital transformation tools used in healthcare offer a range of advantages, from payment systems to patient-focused transactions. Thanks to innovations such as easier creation of important medical records and virtual doctor visits, effective management and efficient operational processes in health care can be achieved.
Thanks to digital transformation, which creates many opportunities in the customer service sector, it is possible to better understand the wishes, needs and expectations of customers and to be able to offer effective solutions. Receiving customer feedback helps to gain important insights about customers. In addition, thanks to machine learning and AI-powered applications, companies can gain many advantages, from self-service services to chatbots.
One of the areas that benefit the most from digital transformation processes is smart city projects. With digital tools that combine existing urban infrastructure systems with physical technologies, it is possible to create cities with better quality and higher living standards. Thanks to artificial intelligence tools and sensors, efficient benefits are achieved in many areas, from environmental sustainability to safety.
For you, we have covered the details that companies need to know in their digital transformation processes. Taking into account the above elements for the digital transformation of your company, you can bring the best version of your company activities and contribute to the growth of your company. By examining the opportunities offered by Komtaş, you can immediately start the digital transformation of your business in the data and analytics ecosystem.
Comparative analysis means the comparison of two or more processes, document, dataset, or other objects. Pattern analysis, filtering, and decision tree analytics are types of comparative analysis.
The word encode has meanings such as “encoding”, "encryption" or “symbolization” and basically involves the conversion of signals and data according to certain rules.
Hadoop is a distributed data management platform or open source recovery framework used to store and process big data. Sometimes it can also be described as a reduced distributed operating system.
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