In the last 18 months, entire sectors have been forced to make decisions in days that would normally take months or even years to debate and plan. Customer-facing brands, in particular, have had to deal with erratic supply, demand, and logistics.
When an organization isn’t keeping up with today’s technology breakthroughs, the top executives are often aware of the situation. However, no changes are made and no digital transformation is initiated because, in many cases, there is a lack of urgency – a sense that not only something needs to happen, but that it needs to happen now.
Here are four critical acts that will make digital transformation efforts more urgent.
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Rather than years, modern technology stacks grow in weeks and months. Technology should be open and adaptable in order to integrate and adapt to new solutions, successfully future-proofing the company’s business and data infrastructure systems.
Business outcomes should shape and steer the company’s digital transformation, with infrastructure enhancements serving as benchmarks along the way. To be successful, both aspects must be carefully planned.
People with technical expertise should be able to comprehend business and strategy mechanics to the point where they can inform their work and influence the work of others. Exposing team members to decisions and data allows them to develop their business acumen over time while also contributing.
Businesses should encourage IT team members to focus on the customer, remove unnecessary silos at the organizational level, and foster transparency and communication – even with those whose role may be more distant from the customer and the business’s strategic decisions – to help boost their business education.
When it comes to collecting and processing data, even the quickest human analyst will never be able to keep up with artificial intelligence (AI). Designing and deploying AI and machine learning models can jumpstart a company’s operations, creating a constant sense of urgency for business improvements while also enhancing the speed with which leaders can make data-driven choices.
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AI projects should always start with the end-user, with a specific problem in mind and a clear understanding of how to gauge success. When an AI project fails, it’s usually because it was launched in quest of a problem that it never found.
Since customer trends are prevalent in culture, news, and social media, they are easy to spot. The challenge is, how do businesses tell the difference between the signal and the noise? Businesses should begin by looking for data that will help them see a trend without being swayed by recency bias. Data allows researchers to look into what caused a certain trend and what it signifies for the future.
Throughout all of the changes brought on by the pandemic, customer experience has remained a priority. While no one can foresee what will happen next, it’s a safe bet that organizations that manage and benefit from data insights will win.
There has never been a better time for the business to expedite its digital transformation. Businesses can begin collecting the customer data needed to establish an advantage with strong management support and a strategy for the future.
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Umme Sutarwala is a Global News Correspondent with OnDot Media. She is a media graduate with 2+ years of experience in content creation and management. Previously, she has worked with MNCs in the E-commerce and Finance domain
