How Can Embedded BI Help ISV Partners Improve Revenue and Market Visibility?!
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?
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?
When a business decides to implement a self-serve business intelligence (BI solution, it must ensure that the tools really are ‘self-serve’ and that they provide the flexibility and agility to give power users the ability to create and analyze, and business users with average technology skills the ability to quickly and easily understand the augmented analytics tools they now have access to, and to use those tools to the benefits of the team and the organization.
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.
By some estimates, a business will experience a three-month lag between the time a report is produced and the point at which the enterprise sees improvement or results from the changes the report recommends or predicts. If the reporting is unclear or unconvincing, the recommendations may never be implemented and the report will sit in a file on someone’s computer.
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.’
The days of data silos and exclusive data access are over. Data Scientists and business analysts are still an important component of the business and IT teams are still crucial to the success and stability of the organization BUT if you are thinking that these roles are still responsible for day-to-day analytics and delivering every bit of data analysis to the enterprise, your business strategy needs an upgrade!
A recent report revealed that by, 2028, the Augmented Analytics market is projected to reach USD 46.26 billion at a CAGR of 24.30%. The business intelligence solution market has evolved into augmented analytics and these solutions designs have progressed to support average business users with simple solutions that combine sophisticated analytical techniques and algorithms with easy navigation, reporting and insight.
If you are a business manager, senior executive, IT professional or analytical professional, you are probably well aware of the emergence of business intelligence solutions, BI tools and augmented analytics for business users. In all likelihood, you have been hearing about these trends in annual conference and industry journals. If your business has not yet adopted such an initiative, it is likely to do so within the next year. But it might surprise you to know that, world renowned technology research firm, Gartner, predicts that ‘By 2022, augmented analytics will be ubiquitous, but only 10% of users will use it to its full potential.’ Given the focus and effort invested in business intelligence and augmented analytics, this prediction is disappointing, but understandable.
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.
The world-renowned technology research firm, Gartner, predicts that, ‘through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives’. As businesses consider the options for data analytics, it is important to understand the impact of solution selection.