Analytics is changing. At TDWI, we see organizations becoming more advanced in their data and analytics efforts. They understand that the future of analytics will involve new data and new analytics techniques.
Although self-service analytics is a top priority among many organizations today, the future lies in being able to seamlessly utilize tools such as machine learning, deep learning, and other forms of AI. Many organizations want to analyze data in the cloud, especially for techniques like machine learning that often require iterative analysis against diverse data.
According to our research, implementing the right data infrastructure to support analytics is a top challenge organizations are facing with their analytics strategies. Often they are looking to end-to-end platforms to help in their data and analytics efforts.
These platforms can help organizations avoid cobbling together a solution or choosing between a data warehouse and a data lake. Platforms can also accelerate time-to-insight.
This TDWI Checklist discusses five requirements for an end-to-end platform to support the future of analytics.
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