Where Data Sits in the Cloud Provider Stack
Operating at the center of the data, information, and analytics economy, we keep a keen eye on data marketplaces, data licensing, and where data sits in the cloud provider stack. We recently took a look at Microsoft, Amazon, and others to see where data fits and published an analysis on the topic for our clients: Cloud Providers Shifting the Value Lens, Opening New Opportunities for Data Innovators.
Cloud providers are looking to democratize data by adding data processing, management, and analytics capabilities into their platforms. These fortified cloud stacks open up higher value-add data service opportunities. The next battleground and opportunity is in algorithms: building and helping others build domain- and industry-specialized workflow algorithms, high-value data-driven solutions, advisory services, and “superstore” marketplaces.
Building upon this, we also explored the advances in the Enterprise Information Processing layer (compute, storage, process, and analytics) in the cloud. We focused on Databricks and Snowflake in the piece entitled Cloud Data Processors Become the Latest Threat to Information Providers. The ability to leverage data at scale — data that is now stored, processed and accessible via the cloud — requires a data engineering and AI and machine learning environment to work with the data, collaborate to build models, and concurrently process large data sets for analytics. Here is where we see providers addressing the age-old problem of too much data yet not enough information, and that starts by making data ready and available for analytics — a core competency of our industry.
Where do you stack up in the stack? How will you differentiate? What’s your relationship with the cloud providers? We ask and answer these questions every day for our clients. If you’re not one yet, get in touch today.