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Data Modernization

Accelerate your data modernization journey to align with new business realities

Data is a key asset for organizations today. They are investing millions to glean valuable insights and unlock that disruptive potential. Harnessing the potential of data through emerging technologies enables companies to create new business models and data ecosystems that help them differentiate. Without a doubt, over the next five years, an IT function’s success will depend on how effectively it enables the business to unleash the power of data.


With the move to a Digital Enterprise, data is becoming increasingly critical to driving business operations efficiently. Of course, not all data is critical, but the most critical data must be governed, monitored for high quality, and integrated with other data for actionable information that changes outcomes and drives value. All of this, which is termed Data Management is a part of the Data Modernization journey. Business and IT must collaborate and ensure quality data is timely delivered to the right people when the business builds its profit upon data. High-quality and reliable data is directly linked to significant profits and improved decision-making. It should therefore be considered a business asset managed with high standards.


The journey starts with aligning priorities between IT and Business. This will allow both teams to focus on the shared outcome.


Data Modernization requires leveraging big data analytics and technology enhancements that utilize modern cloud data platforms. Therefore, it is critical to align with stakeholders on establishing a robust data foundation. The key steps involved include:

Understanding the key drivers for change
Capturing the business vision
Assessing organization capability/skills, data management maturity
Educating and creating data literacy
Setting the desired state of what can be achieved with data
Creating a strategy with clear deliverables
Emphasizing that foundational investments are key and ongoing
