Enterprise digital transformation: A data-driven approach
Digital transformation, while varying from organization to organization, involves transitioning resources, operations, and procedures from on-premise or physical to a digital environment. However, digital transformation ranges from completely reshaping an organization to developing an application or website.
Data-driven digital transformation involves digitally empowering and optimizing a business and creating value through data insights and integration.
Why transform?
It is a normal tendency to resist change, yet, in the business world, resisting change is dangerous. The pace at which organizations conduct their business is changing is unprecedented. Many organizations are feeling the pressure to keep up but cannot.
Practices that people considered effective a decade ago are now obsolete, and methods widely accepted today will become a thing of the past in a few years. Customers expect digital experiences that are effective, efficient, and intuitive, and stakeholders expect accurate, fast, and complex performance. How can you meet all these goals? By using customer-focused data to transform your digital experiences.
Automation increases decision velocity.
Making accurate and consistent customer-centric business decisions is crucial to keeping up with this ever-speeding business world. Relying on human decision-making to do this is challenging. Automation requires human oversight, yet, computers can make millions of decisions every second due to their computing prowess. While human brains can process human senses much faster, making calculations while scouring through terabytes of data and making sense of everything to create insightful data is not humanly possible.
To serve your customer requirements effectively, you need to make high-velocity decisions; you can do this through automation. Automation can help you turn resource-consuming human labor and time into automated processes.
Customer experience monitoring
Delivering positive outcomes to external and internal stakeholders should be an essential priority for any organization. Regarding customers, how they come to view your organization depends on your meeting their formal and informal requirements; these include the product and service you provide and their user experience journey.
Regarding stakeholders within your organization, data-driven insights to help build better products helps them stay positive. These two requirements of providing a better user experience, gathering quality data, and leveraging it for insights mean that your digital transformation must be customer-centric and data-driven. Digital experience monitoring ensures this happens.
Digital experience monitoring solutions allow you to weigh your customers’ interactions with you. You can use this information to understand both the positives and negatives and build data sets to improve your customer service. These data sets can further help you understand customer pain points and create solutions to meet those requirements.
Outpacing the speed of business
Keeping up with current business trends and innovating faster isn’t easy. However, if organizations need to ensure successful digital transformation, this is precisely what they must do.
Automation plays a crucial role in accelerating the speed of business, but there are other ways this is possible. Workflow mapping is an excellent example of this.
Workflow mapping involves formalizing business processes. It helps organizations identify bottlenecks, communicate strategies, and find ways to integrate digital transformation.
Computers cannot make subjective decisions like humans. Organizations can never reach 100% digital transformation because they will always require humans. Yet, while digital tools cannot replace humans, they efficiently perform processes. So, using data-driven techniques, you can have your employees focus on essential aspects while digital tools will ensure your operations run smoothly.
AI and risk mitigation
Artificial Intelligence is something everyone loves to talk about in the tech world. It is a valuable tool that can significantly help with enterprise digital transformation. However, even though AI is powerful and can transform the way you do business, it is complex, meaning investing in AI needs thoughtful consideration.
Risk mitigation is one of the most sought-after uses of artificial intelligence in today’s business environment. Even if customer trends are too nuanced and subtle for humans to identify, AI can do this easily. It uses customer-centric data and identifies customer types, for example, identifying which customer types are high-risk, what strategies are effective, and the resources you will need to address customer questions.
Conclusion
Starting your digital transformation journey is impractical if you do not have effective data integration solutions. Exposing business requirements to consistent and comprehensive data sets can help us make better decisions and accelerate growth. Organizations can ensure growth when employees work together to accomplish goals and execute strategies – digital transformation plays a vital role here.
A successful digital transformation strategy will involve the entire organization and incorporate a data-driven approach to set goals for all to meet.
