Although it may sound like a buzzword, business transformation is a desirable focus for many organisations. In fact, 89 percent of organisations prioritise ‘digital first’ strategies and look to other businesses for business transformation examples.
To put it simply, business transformation describes the people, processes, technologies and policies implemented within a business that help to create positive change. By transforming certain processes, businesses can achieve measurable success, scalability and innovation.
But there’s more to it than that. If you look behind the curtain, you’ll often find a key ingredient that drives business transformation success: data.
Data is the backbone of any organisation. It defines your history, drives your success, and dictates your future opportunities. Without it, you’ll fail to implement successful business transformation.
To inspire your efforts, we've brought together three compelling business transformation examples. Enjoy!
Scaling your assets can be time consuming when you don’t have the right foundations or tools.
This was the case for a global re-insurance company who had recently migrated to the Azure cloud. The company lacked the tools, strategy and business alignment to scale-up their processes.
By revisiting their data strategy and automating their entire DevOps deployment using a scalable script, the business was able to build new environments quickly. This means that their business now has the capability to scale their processes and grow.
You can learn more about this success story in this video.
Connected, accessible data is essential for operations in the banking sector. Unfortunately, banks can struggle to deliver time to value on data models and to accurately predict the timescale of important operational procedures, such as audits.
With one business we worked with, members of the technical and business teams were contributing chunks of audit data here and there, but there was no simple, accurate overview of the organisation’s data lineage. This meant there was no accurate, predictable audit timescale.
However, by merging their data modeling and data integration efforts together, things became much more coherent. Business employees were now able to contribute ‘rules’ to the data models, which were then baked into the data integration solution by the technical team. This produced runnable code that benefited the company in multiple ways:
Ultimately, the global bank refactored their process to benefit teams from all aspects of the business.
63% of businesses cite the leading factor driving their cloud engagement as business transformation. You’ve no doubt heard it all before, but the cloud really is the best platform for innovating, streamlining, and scaling your business.
However, getting from A to Z can be difficult when your data is mostly stored on-premise.
We helped a large corporation to coordinate their challenge of migrating 800TB of unstructured and structured data to the cloud. Although moving such a large quantity of data is a daunting prospect, the journey to the cloud needn’t be something to fear.
With the right data migration strategy, analysis and automated data discovery tools, we moved their data and BLOB files and ensured there was no corruption along the way. It’s important to note that this data contained large quantities of historical information which, over time, had lost its quality and ‘cleanliness’. Together, our client and our experts worked together to sift through the old data and determine what to discard and what to reformat to the new system.
The benefit of this was the company’s newfound cloud environment. It's the perfect basecamp to unlock the value of their data, discover more insights, and drive business growth.
As you’ll see from our business transformation examples, transformation can take many different forms. But, you’ll agree, all transformation is born out of both a need to solve current problems and to better align technology with business strategy. These problems can range from data governance needs, to increasing business efficiency.
At the end of the day, businesses that stay stagnant and sit on their data won’t fare well against their competition.
Our advice? Find the value in data and let it guide your transformation.