Bring Your Organisation’s Digital Transformation to the Next Level
How far is your organisation in the digital transformation journey? You won’t get far without the ability of harnessing the flow of data and conducting the analytics, to become a data-driven organisation.
Yes, the final base of digital transformation is data and its analytics. Data today is known as the bottleneck of any industry, and failing to manage it means failing to develop in the digital age.
At the beginning of an organisation’s digital transformation, usually all the stakeholders are focused on migrating from analog to digital.
After all the traditional IT environments have been transformed to be more efficient and services-driven, complemented with cloud technologies, it’s time to put more of our thoughts on data and analytics components.
In the data and analytics space, software development generally falls under two categories: data engineering and data science.
Data engineering is the practice of designing and building systems for collecting, storing, and analyzing data at scale, while data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains.
Data science is related to data mining, machine learning and big data - that’s why when we’re speaking about digital transformation within an organisation, they’re inseparable.
Why does it sound so complicated? Perhaps your executives are used to making intuition and gut feel driven decisions, and it’s worked in the past. But as time goes by, we have to acknowledge the importance of data in digital transformation.
Accurate, complete, and timely data has proven to be required for success and stay competitive in the digital age. In order to ensure that you process the high quality data that can drive your business forward, transformational approaches need to be done.
After managing the data, we must come to the analysis part. Doing the analysis indeed takes time — and it’s quite complicated. But it’s really worth your time and resource investment.
Let’s jump into digital transformation data analytics to improve the odds of success for your organisation.
Facing a struggle on how to begin or sustain such a process? You’re not alone - lots of organisations out here need adaptation processes to strive in the digital age through proper data analytics. Telkom DWS is here to cater all your concerns and work toward your business goals.
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