Digital Transformation & Consultation

What is Digital Transformation?

Digital Transformation is the process through which digital technologies are applied in all areas of a business. Consultation means to meet with a professional or expert to gain information, to discuss on a particular matter and collaborate on something. The reason why these are significant in today’s world is because they fundamentally change your business – your business model, company culture, business processes and methods etc. And it is required that the transformation or the output should be favorable to the business.

Since the “Digital” provides amazing ROI, a lot of businesses have started incorporating it and changing the way they serve their customers. But this “digital” is often misunderstood because it is used in different context by different people i.e. different people have different meanings and perceptions about what they consider as digital transformation.

For us, here are some of the most important digital transformations in leading organizations –

  • AI & Machine Learning – AI and Machine learning automates a variety of tasks and allows humans to do what they are meant to do – creative and innovative work. The repetitive and mundane tasks can be delegated to AI. It not only leaves humans with more free-time but also reduces human errors in the task and completes the tasks more efficiently. AI and Machine Learning is also being applied extensively to IT activities like – Detecting and deterring security intrusions, Resolving users’ technology problems, Anticipating future customer purchases and presenting offers accordingly, etc.
  • Blockchain – The factors for which blockchain is popular are “trust” and “low-risk” because it enables peer-to-peer transaction without the intervention of any middleman. The cryptographic procedures used ensure high levels of security and speed while being transparent and sets you apart from your competitors.
  • Internet 4.0 – Industry 4.0 or Internet 4.0 mean that advanced manufacturing techniques be integrated with the Internet of Things to create intelligent manufacturing systems. Different manufacturing systems are interconnected, that communicate with each other, analyze the information they get and use it to drive further actions. Applications of Internet 4.0 include data-driven services, real-time visibility, predictive maintenance, Inventory planning etc. Business models are also transforming from linear to agile with Internet 4.0 Digital Transformation and Consultation.
  • Big Data & BI – Data is increasing at an exponential rate in volume, whether it is raw data, structured data or unstructured data etc. One of the main objectives of changes digital transformation is going to bring in every industry is the ability to make informed decisions. To do so, piles and stacks of data need to be processed and analyzed. Big data & BI helps in prediction analysis, business optimization, understanding customers further, getting better insights, creating better strategies and enhancing customer experience.
  • RPA Solutions – Robotic Process Automation (RPA) Solutions speed up the monotonous and burdensome processes by automating it and they also reduce human errors, thereby improving efficiency and help in dealing with operational challenges in the organization. These robots are taught to mimic employee actions and perform back-office tasks helping employees to focus on higher-value tasks. It helps in achieving digital transformation faster by improving business performance and outcomes.
  • Augmented Reality – This is widely applied in retail as retailers offer augmented reality experiences to customers to build a personal connection with their products. Apart from the retail industry, we can already see the effect or VR and AR in Social Media (like Snapchat), Manufacturing plants, Banking and real estate industries, health and beauty, automotive etc.

Whatever method you use for digital transformation, the following areas in your business are sure to change – Customer experience, Operational agility, Culture and Leadership, Workforce enablement and Digital technology integration and the innovations in the industry are – including cross-functional teams, new success metrics after including digital transformation in an organization, better use of AI & Machine Learning, new merger and acquisition activities, public cloud adoption by organizations, Big Data & Data analytics, etc.