Data analytics and integration are the key components of building a data strategy. For organizations to have an effective data strategy, it requires the definition of measurable metrics and proper consideration of all data sources. An effective data strategy also needs to define how data can be moved from various sources to a location where it can further be used for analytics.
With the ever-growing edge deployments to meet the demands of IoT, smart devices, gaming technologies, and other similar technologies, combined with the recent hype toward AI and specifically generative AI, organizations australia whatsapp number data are under pressure to derive the right data strategy that not only considers all data sources but also deploys it in a cost-effective manner that can help make good business decisions.
This article aims to provide an overview and factors that need to be taken into consideration for building an effective data strategy that takes all challenges and opportunities associated with edge and cloud deployments into consideration and leverages the advantages of artificial intelligence. The focus of this article will be on the integration aspects of data from various deployments only and not on analytics insights.