by Subanu Senthilkumar | May 21, 2025
According to Gartner, poor data quality costs organizations an average of $12.9 million annually due to inefficiencies and lost opportunities. In EAM, where accuracy drives maintenance efficiency and planning, these costs are amplified. Inaccurate data undermines...
by Subanu Senthilkumar | May 16, 2025
Research by PwC found that AI could contribute up to $15.7 trillion to the global economy by 2030 through productivity gains and automation. This statistic highlights the urgency for organizations to embed AI-powered workflows deeply into their business models or risk...
by Subanu Senthilkumar | May 14, 2025
According to a McKinsey report, AI automation could displace about 30% of the tasks in 60% of all occupations across global industries by 2030. This striking forecast underscores the transformative power of AI, particularly in eliminating tedious work while unlocking...
by Subanu Senthilkumar | May 9, 2025
According to Experian, enterprises lose up to 30 percent of potential revenue due to poor data management and lack of consistency across systems. Clearly, this is more than inefficiency. It is a serious business risk. Today, companies manage an expanding mix of...
by Subanu Senthilkumar | May 7, 2025
According to Gartner, organizations believe poor data quality is responsible for an average of $15 million per year in losses. This staggering figure highlights the critical role of master data governance (MDG) in any enterprise data strategy. Today’s digital-first...
