Roseville, United States – Lifescale Analytics, Inc., announces an approach toward digital transformation with their Data Evolution Strategy. The strategy helps organisations to modernise their operations, processes, and customer experiences, allowing them to get the most out of their data.
Current data strategies must evolve beyond traditional data lakes and data marts into today’s non-stop streaming feeds that can become stale within moments of creation. Lifescale Analytics’ Data Evolution Strategy targets the right mix of historically actionable valuable data, which is needed when using AI and machine learning. While historically valuable data provides a deep understanding of things such as past performance and efficiency and “the why” regarding a business’ current state, actionable data presents insights into the current systems and processes that can be leveraged to drive reactive business decisions, mainly from new sources such as Internet of Things (IoT) devices.
“The need for utilising actionable data that has been properly curated and vetted as accurate is essential when integrating into today’s climate utilising AI and machine learning” says Trish Geloso, CEO of Lifescale Analytics.
Lifescale Analytics’ proven Data Evolution Strategy helps turn the noise down by creating models into a path that organisations can rely on and, more importantly, trust in their business decisions, providing an organisation with the path toward digital transformation.
Comment on this article below or via Twitter: @IoTNow_OR @jcIoTnow
