Over the past couple of years, we have seen a massive shift in the way companies store and manage their data. Cloud services from Google, Microsoft, Amazon and others have made it easier and less expensive for businesses to store more data, access that data wherever they may be, and scale up or down depending on their storage needs.
Now, the wave of business intelligence in the cloud is making its way through the enterprise. With BI in the cloud, organizations have an easy way to store and manage their cloud data at scale, mine this data for new insights, and distribute mission critical information to the people who need it most.
Here is a quick look at some common cloud and BI use cases:
Analyzing Data Stored in the Cloud:
The highest area of BI and cloud adoption is application providers whose software and data are in the cloud. The data comes from the cloud application itself (e.g. Salesforce reports), or from external cloud sources (e.g. Facebook and Twitter). This allows users to analyze larger data sets to garner real time insights, and make business decisions based on those insights.
Deploying BI Apps in the Cloud:
When data initially resides on-premise, a cloud-based BI application is the best way analyze data across multiple sites and distribute insights to users at those sites. We see this is happening in industries such as retail and healthcare, with data originating on-premise (i.e. at individual stores or hospitals) and information sharing being a prominent need.
Moreover, reports have shown that it is 10 times less expensive to build your software to be delivered in the cloud than in some mixture of on-premise and cloud, or just on-premise.
The cloud has a lot of advantages that organizations are using in extending their business and improving their efficiency, and companies need to select vendors who support this. For example, the Logi platform not only supports connecting to and deriving value from cloud databases including Amazon Redshift or Amazon RDS, but it takes connections further. Logi allows users to quickly connect to a myriad of other databases, web services, big data sources, flat files, and pretty much any data source that end-users can derive value from. This brings more information to users’ applications, without requiring that data be held in a single repository or cloud vendor proprietary data store.
Logi also scales with businesses and can easily be added to a greater number of servers as the business grows; and the content built with Logi can accommodate the changes that occur when a business evolves. Because Logi applications are built using common web standards and are consumed as standard web applications, they continue to be universally viable as systems, architectures, and processes change. This means your development teams can build together on shared EC2 environment now, and can also take your Logi product anywhere your business chooses to go in the future.
Logi Analytics is committed to helping our customers be successful in the cloud. In fact, we’ve partnered with AWS to make our visual data discovery application Logi Vision available in the AWS Marketplace. Check it out here.