CloverDX is a new name for CloverETL Learn more
Although it may sound like an overused boardroom buzzword, business transformation is a desirable focus for many organisations, with 89 percent of organisations prioritising ‘digital first’ strategies.
By changing processes, systems, architecture or technology, businesses can achieve measurable success and scalability, as well as explore new innovative avenues.
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 and demonstrate what's possible with the helping-hand of data, 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, knowledge 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 meant that, thanks to their data-centric business transformation, 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 modelling 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 a simple runnable code that benefitted the company in multiple ways:
Ultimately, the global bank refactored their process to benefit teams from all aspects of the business.
Sixty-three percent 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 most of your data is 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 were able to move across their data and BLOB files and ensure nothing was corrupted 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: 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.
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.