Digital transformation is now at the top and even top of the business priority list of almost every institution and industry. This transformation, which we previously saw frequently in areas such as finance, telecom, manufacturing and health, has started to grow like an avalanche, especially due to the impact of the pandemic, and now we are talking about digital people, digital money and even the digital world.
It is a fact that we are now on the verge of a major change. And this change will not only change the way many organizations do business, but it will transform. And institutions that cannot keep up with this change and transformation will unfortunately have a hard time maintaining their existence or will disappear after a while and new business areas and opportunities will emerge.
At this point, we need to stop and ask ourselves some questions to better understand this topic:
- So what exactly is digital transformation?
- What is the underlying of digital transformation?
- What if we as institutions do better, will we not miss this change and transformation?
On Digital Transformation
If we look at the institutions within this change and transformation that I mentioned above;
- Developing new business models
- Designing new processes
- In line with these processes, define new departments and new titles (data owner, data architect, data engineer, data scientist, data reader, etc.),
- It invests in new applications and infrastructures (Big Data Environments, Big Data Lake, Cloud Infrastructure) and new technologies (AI, IOT, etc.).
In fact, all these studies need to be seen as studies on how to use data more accurately, how to use data more accurately, how to use it faster and more efficiently.
Based on these studies, we can think of digital transformation as the transformation into data of the objects we use in everyday life and many things we do, even habits. And we can say that data is the basis of digital transformation.
For this reason, organizations that centralize data, invest in data and make the best use of data at the decision-making point will stand out and make a difference in the digital transformation process that opens the door to change and transformation and make a difference than their competitors, as in previous years.
What are the Challenges in Digital Transformation?
As I mentioned above, digital transformation offers benefits such as rethinking and renewing existing processes for each organization, investing in new applications and technologies in order not to lag behind other institutions and different sectors and to be able to survive in competitive conditions. In addition to these benefits, it presents many challenges in managing the data that underpins digital transformation.
If we mention some of the challenges that organizations are experiencing in terms of data management with digital transformation;
- Data Glossary: Use of a common language within the organization and a clear and clear definition of the information used
- Data Ownership: Clarification of who will be making decisions on data and determining roles and responsibilities, designing processes correctly
- Data Catalog: End-to-end tracking of data as applications grow
- Single Image: Provide a single view of the main data such as customer, product received from different channels
- Data Quality: Improving the quality of incomplete and inconsistent data and continuously monitoring the data with different data quality metrics
- Data Integration: Centrally managing integrations between different systems
- Data Security: Many examples can be given, such as ensuring the security of sensitive data that is distributed across many systems
What are the solutions for data management?
Damalink Since we were founded in 2014, we have been providing end-to-end solutions to the challenges that I mentioned above, both in terms of data management and in the companies' digital transformation journey.
If we categorize our solutions in terms of both strategic and technology implementation;
Data Management Strategy Services
Within the scope of the data strategies service, we strive to provide services with ready-made solution components without positioning any technology in each data management topic. Within the scope of the data governance strategy service, especially in the goal of transforming organizations into a data-driven organization;
- Identifying pain points experienced in “data governance” issues within the institution
- Identifying areas for improvement in data governance
- Raising awareness about data governance
- Organizational model proposal for the functioning of data governance processes
- Clarification of roles and responsibilities
- Evaluation of data governance policies
- Positioning the most accurate technologies that exist or should be within the organization
- We are working on the development of data governance transformation roadmaps.
Within the scope of data management solutions, we offer solutions to our customers with ready-made components that we have developed on Informatica technologies that have maintained and maintained leadership for many years according to Gartner reports in data management. In this way, we ensure that our projects are quickly implemented by reducing repetitive tasks in projects and minimizing risks in the project.
I wanted to talk very briefly about both the fundamentals of digital transformation and the solutions we offer to organizations regarding data management in the digital transformation journey. I hope it was a useful study, see you.
Evolution AY
Damalink
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