The technology landscape is evolving fast. It is an era of digital transformation. The race is on – Companies that are not transforming at a quick pace risk becoming obsolete. It is similar to the theory of evolution, but at gigabits per second in today’s digital age. Data Analytics and digital transformation are successfully helping various organizations in unlocking the doors to countless opportunities. Most organizations are rolling out exceptional analytics solutions leading to smarter business moves, proactive operations, profitable outcomes and satisfied client base.
The question is no longer whether you need to embark on digital transformation – but how? The answer is not obvious and there are a range of technologies – AI, ML, Deep Learning, Text analytics, RPA, Digital Marketing, NLP and the list goes on.
Without going into detail of each technology, In this article, I would like to like to share some thoughts to consider in your transformation journey
It is important to keep what you want to achieve in focus and in the center of the initiatives. Often, in pursuing latest technologies, executives risk strategy being driven by available technologies rather than the other way around. While future proofing your business is important, the rate at which new technologies are evolving, a new technology may not give you an edge for long. Keeping your long-term strategy in focus is useful to achieve real results. The strategy and technology often goes hand in hand and this is where transformation experts can work with you to define the future landscape for your organization.
Once the initiatives for digital transformation are chosen based on your strategy. It is important to keep track of the projects and to ensure that benefits are constantly being measured. Good project management and business management practices are indispensable in achieving good results from transformation.
The effectiveness of any solution is dependent of quality of solution and acceptance of the solution in equal parts. It is important to get key stakeholder on board and supporting the initiatives. There is a natural resistance to change and fear of the unknown that needs to be addressed by talking about the benefits and how it will help people in their areas and make life easier for them. Transformation initiatives almost always involve changes in processes and the way people work unless they are marketing focused only.
The digital transformation journey can be broken down into distinct smaller projects. Even larger projects would have milestones and sub projects that can be tracked independently. Not having experience in new technologies does not mean that independent projects cannot be tracked well. It is important for small steps to meet the success criteria and timelines for the overall effort to stay on track and maintain pace.
Digital transformation consultants work as independent contractors for a company. They focus to increase the company's short-term performance and their long-term strategic objectives. Their skill set is much in demand and hiring a team of digital transformation experts is a lot more expensive as well as difficult to maintain. There is higher accountability and wider experience with an independent digital transformation firm. It is their core business and not yours, so they spend on staying current and relevant to customers.
A comprehensive digital transformation strategy will give your business competitive customer insights, improved customer loyalty and operational efficiencies by reducing waste and manual processes.
Aselector digital transformation and process improvement consulting specializes in helping organizations craft their transformation strategy and also to deliver on the vision. Our expert consultants provide a detailed assessment of organizational data and processes to identify actionable insights as well as recommendations for improvement. Our inhouse AI powered decision tree knowledge management platform can take automated decisions, auto load balancing and real time management. Aselector uses a host of technologies and applications like AI, ML, Chatbots, R, Python, Minitab, SQL, six sigma and lean depending on the best match of requirement with technology capability.
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