Building a Data Driven Organization
As with most initiatives this must be championed from the top down. Otherwise, those downstream are not having an example set for them to follow.
By Nathan Eddy – When organizations strive to become data-driven, they may encounter common barriers or roadblocks. Addressing these challenges is crucial to successfully transitioning into a data-driven culture.
Some common barriers to becoming data-driven are poor data quality and limited accessibility. To mitigate these challenges, organizations should prioritize data governance and invest in tools and infrastructure for data management and accessibility.
Resistance to change, from both line of business (LoB) and IT departments, can also impede progress. Overcoming this resistance requires fostering a culture that encourages data accessibility and collaboration between IT and business users.
“By addressing these barriers, organizations can create a data-driven culture that enables effective decision-making and maximizes the value derived from data,” says Yaad Oren, managing director of SAP Labs and head of the SAP Innovation Center Network.
He explains when it comes to implementing data-driven initiatives, it is crucial to select technologies and tools that seamlessly integrate with the existing data infrastructure and technical landscape of the organization.
“This ensures smooth integration and minimizes disruptions in operations,” Oren points out. “Consideration should be given to the user-friendliness and ease of adoption of the selected technologies and tools.” Read On:
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