Where Does Embedded BI Fit in Business Decision-Making?
Recent research reveals five primary benefits for embedding business intelligence into popular business apps and software:
Recent research reveals five primary benefits for embedding business intelligence into popular business apps and software:
As a software solution product and service provider, you are focused on the common issues your customers face, providing features and functionality that will satisfy the most customers and give you an edge in the market.
There are many reasons to consider adding embedded BI to your enterprise technology landscape. When you are making a critical business decision, one of the factors you probably include is how your competitors and other businesses are addressing the problems you are trying to solve. When making a decision about Embedded BI consider these survey results. Businesses that are currently using embedded BI within their enterprise, report the following:
When a business invests in technology, either to buy a best-of-breed solution or to develop their own enterprise apps, there is significant expense. If you are developing your own solution, you are using in-house resources or engaging IT consultants. If you are purchasing solutions off the shelf, you may or may not need customization but, in any case, the solution will cost you quite a bit of money and it will take more funding to support and maintain and integrate that solution.
Recent research reveals that 67% of companies surveyed say time spent in their applications increased after they embedded analytics. Why do you suppose that is?
The research and technology consulting firm, Gartner predicts that ‘By 2023, overall analytics adoption will increase from 35% to 50%, driven by vertical and domain-specific augmented analytics solutions.’ Whether your software business produces solutions or modules for a vertical market, a specific industry or a government or public service market, building an analytical solution to serve your clients or partners is an expensive, complicated proposition and one that will require significant funding and skilled resources.
Technology research and consulting firm, Gartner, predicts that, ‘By 2023, data literacy will become an explicit and necessary driver of business value, demonstrated by its formal inclusion in over 80% of data and analytics strategies and change management programs.’
The technology research and consulting firm, Gartner predicted that ‘By 2023, 60% of organizations will compose components from three or more analytics solutions to build business applications infused with analytics that connect insights to actions.’
If your business is ready to implement a BI tool and augmented analytics solution, there are some things you will need to do first. If you plan correctly, you will enjoy a successful implementation. If you do not perform an assessment, understand your requirements and choose the right option, you are likely to fail in your initiative and your ROI and TCO will not meet expectations.
A recent survey found that 93% of application teams report improvement in user experience as a result of embedded analytics, and 94% of teams report improved customer satisfaction with embedded analytics. The concept of embedded BI is simple. By leveraging APIs, the augmented analytics solution is embedded within familiar enterprise apps and made available to users via single sign-on so that the user can access favorite software solutions and applications to perform tasks and use the data contained there to analyze data and make decisions.