Do you track website clickstreams or measure consumer sentiment? If so, you have external data, and it’s being generated and stored in the cloud. Why? Lower overhead, fast startup time, and infinite scalability. Constellation Research estimates that by 2020, 60% of mission-critical data will reside outside a business’s walls—that’s more than half of your data generated externally, in just three years.
What does this mean for IoT analytics? Traditionally, business data was generated behind its internal firewall—so it made sense that you had on-premises data warehouses, administrators, and analysis tools. Today, your organization must embrace platforms that conform with data gravity to conduct and manage analytics where the data sits. When you see the speed at which cloud-hosted tools can generate data, data gravity begins to make sense.
But moving to cloud-based BI doesn’t mean jumping in all at once. Remember that data gravity influences the location of analytics. So if your data is stored across cloud and on-premises, your analytics need to provide a hybrid solution. Cloud services are there to support your business, not to be an all-or-nothing solution.