Engaging People in Enterprise Data Management Transformation
Engaging people in Enterprise Data Management Transformation
Santhakumar Rajendran, Senior Information Management Consultant
Introduction
Large scale Enterprise Data Management (EDM) transformation initiatives demand significant changes in the organizational structure and policies. Fundamental changes in the organizational culture and employees’ perception of ‘data’ are vital for the success of the transformation effort.
This paper sheds light on the key components of enterprise data strategy, employees’/people’s data management maturity levels and the process of implementing people-specific organizational changes as a part of the transformation initiative
Business Case
Every organization, regardless of its size or wealth, has challenges with its data. At the same time business value of well managed data is widely recognized by all. Until a few years back, when the focus was primarily on implementing process automation systems, organizations managed to handle data issues with tactical solutions as and when required. These temporary fixes do not work anymore due to multiple reasons:
• Volume of data to be managed by the organizations has increased enormously in the past few years, making manual handling of data virtually impossible or very expensive at the least. For instance, earlier we used to have clerical users manually copying sold quotes from the pre-sales information systems to the post-sales systems even in large organizations. This no longer holds good.
• Data fixes need to be applied on multiple systems for the same data item, since the systems are closely interconnected and data gets transmitted across systems much faster and very often in real time.
• Data structures designed in the past have exhausted their scalability. Increasing complexity & dynamic nature of business and aggregating regulatory requirements demand more reliable and agile data infrastructures.
• Modern
Santhakumar Rajendran, Senior Information Management Consultant
Introduction
Large scale Enterprise Data Management (EDM) transformation initiatives demand significant changes in the organizational structure and policies. Fundamental changes in the organizational culture and employees’ perception of ‘data’ are vital for the success of the transformation effort.
This paper sheds light on the key components of enterprise data strategy, employees’/people’s data management maturity levels and the process of implementing people-specific organizational changes as a part of the transformation initiative
Business Case
Every organization, regardless of its size or wealth, has challenges with its data. At the same time business value of well managed data is widely recognized by all. Until a few years back, when the focus was primarily on implementing process automation systems, organizations managed to handle data issues with tactical solutions as and when required. These temporary fixes do not work anymore due to multiple reasons:
• Volume of data to be managed by the organizations has increased enormously in the past few years, making manual handling of data virtually impossible or very expensive at the least. For instance, earlier we used to have clerical users manually copying sold quotes from the pre-sales information systems to the post-sales systems even in large organizations. This no longer holds good.
• Data fixes need to be applied on multiple systems for the same data item, since the systems are closely interconnected and data gets transmitted across systems much faster and very often in real time.
• Data structures designed in the past have exhausted their scalability. Increasing complexity & dynamic nature of business and aggregating regulatory requirements demand more reliable and agile data infrastructures.
• Modern
References: Source: Information Management; Published Date: OCT 19, 2010 Web Link: http://www.information-