Gaining competitive advantage without using the latest technologies is almost impossible. That makes digital transformation critical for companies to survive the next decade. The never-ending developments in technology provide even small companies or start-ups with endless possibilities to scale products or solutions that address high-demanding customer needs. A reason for legacy companies to speed up their digital transformation, enabling them to handle data smartly and recover their competitive edge. How is automation going to facilitate just that?
Digital transformation (DX) means reshaping every aspect of a business, in order to deal with volatile developments in the market. That transformation is rooted in culture, governance, operations, workforce skills, and so on. Although a successful transformation does not evolve around technology only, the digital journey is inevitable driven by technology. As many organisations are struggling, IT legacy keeps on hampering their digital transformation. At the Gartner Symposium 2018 in Barcelona I will be hosting a keynote, speaking about the strongest link that can simplify and boost DX.
Overcoming the gap between IT and business
It is hard to serve customers in a rapidly changing competitive landscape. New technologies and are the pivot of agility, scalability and customer experience. These days, every company is a technology company. The challenge for businesses is to recognise potential value propositions that spring from the arrival of emerging technologies. The trick is to identify opportunities before digital-native start-ups disrupt the market. Unfortunately, in many organisations legacy prevails over capital-intensive investments. This is how organisations outgrow their competitive benefits.
Digital transformation (DX) is a struggle, no doubt about that. Budget dilemma’s and the gap between business and IT are the main reasons organisations do not seem to get their transformation up to full speed. But not making it a priority, is not going to take away the urgency.
Lately I have been delving into the different business models for Robotic Process Automation, or as it’s called in short: RPA. How are these RPA business models implemented, how are suitable processes identified and how are the services charged? Most important, why do RPA projects fail most of the time, although they initially seemed to be with high potential. In this blog I will elaborate on which processes are suited for current state RPA and explain how I think they should be implemented. In closing I will dive into the remuneration of the RPA provider.
Big data has been hot topic for a while now. Still, many organisations are behind when it comes to the optimal usage of business intelligence (BI). It’s often used on a low-key basis, because organisations are often reluctant in investing in the right tools and skills. The right interpretation of data can mitigate risks and deliver opportunities. Not only the lack of knowledge on management level, but also the bias on data IT departments have to deal with limits organisations in answering to market demand. In 2018 it’s time for organisations to move over to a next level if they want to avoid complete disruption by competitors. What are the trends to follow and to incorporate in the BI strategy for next year, thus most likely to invest in?