Data as a Strategic Asset in Supply Chain Data Governance
Unlock the power of data for IBP success! Read how we helped a Supply Chain company build trust in data, improve quality, and achieve compliance with a Data Governance program and Data Operating Model. Download the case study and see how data governance can transform your business!Introduction
We were engaged by a supply chain company that was undergoing an Integrated Business Planning (IBP) transformation. They wanted to initiate their Data Governance program and build a Data Governance plan to build trust in their data and deliver value to the organisation. The executives realised very early in the program that the IBP transformation benefits would be difficult to sustain in the absence of a Data Governance program. They were trying to make sense of all the data and relationship between various data points was missing, which required a comprehensive Data Governance Program. The company board was also worried about the impact of data breaches and resultant reputational damage and had given a remit to the executives to establish effective data controls.
Challenge
he organisation did not understand the business value of data governance due to the perceived cost and complexity. The resources were struggling to devote time to special projects and the management had apprehensions about adding new products to their application stack. We also encountered resistance from a few data stakeholders who had a lack of awareness and training on the importance and use of data governance. Poor data quality was leading to inaccurate analysis. Funding for a long-term Data Governance Program was not forecasted.
Approach
- Our first task was to do an AS-IS State analysis using stakeholder interviews and surveys to understand the pain points and challenges. We started by positioning Data governance as a strategic organizational priority instead of being a problem which needed to be fixed by technical IT. We assessed regulatory compliance issues and started educating teams about the need to recognize data as a critical asset and thus the need to manage and govern data.
- We started with kicking of initial Data Literacy sessions with wider teams where we discussed concepts like data architecture, data quality and cleansing, data democratization and data analytics.
- The executives agreed to treat Data as a Strategic asset and communicated messages that non-compliance with the Data Governance Program would be unacceptable.
- We proposed setting up of a Data Office having a representative mix from relevant business units and which would be the driving force for all Data Management endeavours.
- We started working on the Target Data Operating Model and identified Roles and Responsibilities within the organisation and who should have the authority to make significant decisions, and what knowledge and toolkits and drivers they would need to make informed choices. We also started developing policies and procedures, escalation mechanisms and reporting structures for data governance issues and initiatives.
Benefits
- The initiative led to significant improvements in data quality and accessibility and there is confidence in the data being generated.
- Improved legal preparedness and the organisation is able to prove compliance to auditors and monitor and analyze all sensitive content entering and leaving the organization.
- Enhanced operational efficiency has helped build trust and cohesion between the internal teams and IT.
Results
- Data Governance initiative served as a great enabler for the IBP Transformation and there is a wider appreciation of the need to manage and govern data assets.
- With the appointment of Data Stewards and Data Owners, the company is well placed to continuously deliver business value with this initiative. They are now looking to further invest in tools and technologies to aid their Data Governance initiatives.
Key Learnings
The risks of not having a sound data governance program can be severe.
Data Governance is not a one-time activity. It is a continuous improvement exercise.
Detailed analysis can help businesses identify the right cloud solution for their needs.
Change management and effective and regular communication is key to any data governance initiative.
Involve all key stakeholders in the definition of a data governance framework.