December 20189 raw data into useful information as inputs to create asset intelligence requires specific efforts to ensure that people understand how information can enhance decision-making. Appreciating this is as much a cultural shift as it is technological. For many organizations, information is considered important only when one realizes that something is missing, particularly when solving a problem or dealing with a crisis. For effective asset information management, it is pivotal that the right culture is present with which the EAMS operates. Presenting a holistic and complete picture of the business in a clear and concise manner needs to be aligned to stakeholders' expectation. CF developed the Central Reporting Asset Management (CRAM) tool in-house which won the 2018 SOLGM Asset Management Innovation Award. The tool was able to breakdown silos and strengthen relationships across the organization by making critical information for decision-making readily available. There was a significant shift in attitude towards evidence-based decision making and operational efficiencies through a knowledge-based approach adopting best practices and learning from past mistakes.Exhibit II below illustrates the building blocks of a Central Intelligence Hub currently being developed utilizing existing information from the EAMS and other information sources. The Hub identifies four separate information domains that will enable more detailed data collection, analysis, and information utilization. From our experience, lack of awareness, lack of trust, and fear of change are common behaviors inhibiting the successful implementing of an EIS or EAMS. Instilling the right culture would involve nurturing analysts, AM specialists, management, and frontline staff so that they can thrive in information-rich, knowledge-based environment. Collaboration and engagement are required to integrate technology capability and business needs fully. Operational policies and processes could align with information collection and maintenance methodology. Relevance and currency of information throughout the asset lifecycle require well-documented standards, quality criteria, ownership, and stewardship. TURNING RAW DATA INTO USEFUL INFORMATION AS INPUTS TO CREATE ASSET INTELLIGENCE REQUIRES SPECIFIC EFFORTS TO ENSURE THAT PEOPLE UNDERSTAND HOW INFORMATION CAN ENHANCE DECISION-MAKING
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