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?
Tag: Embedded BI
Why Spend Time and Money Developing BI? Embed BI in Your Software Product!
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.’
Smarten announces the recent certification of its Smarten Augmented Analytics Software product by CERT-IN. CERT-IN, or the Indian Computer Emergency Response Team, is an India government-approved organization for upholding information technology (IT) security, and is a well-renowned application security standard, respected within the technology community. It was initiated in 2004 by the Department of Information Technology for implementing the provisions of the 2008 Information Technology Amendment Act. CERT-IN certification is provided by a CERT Empaneled Security Auditor following a detailed security audit to review all components of the organization network including websites, systems, applications, etc. After completion of the testing procedure, the certificate is provided to show that all requirements were met.
This article should serve as a plea on behalf of the average business user!
Business users are business professionals who have expertise in an industry or market arena or perform a function to support the ongoing operation of the business – professionals who may be front line workers on a production line, finance professionals, sales representatives, non-profit office workers, medical researchers, middle managers, regional managers for retail chains, transportation dispatchers or…well, you get the idea. These team members know their job and they do it well. But, they probably don’t have the technical skills to write a SQL query, or to filter out the columns and fields for an analytical search in order to get the results they need to make a decision.
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.
Small and medium sized businesses (SMEs) are often challenged to satisfy all the roles and responsibilities in the organization and most team members wear more than one hat. That feeling of being overstretched is typical of growing businesses and, in an increasingly competitive market with businesses fighting for skilled resources, it is difficult to meet budget and scheduling goals and get it all done.
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.
Natural Language Processing (NLP) may not be a term that everyone is familiar with but all consumers and business users are certainly aware of its power. You use natural language processing every day when you perform a search in Google using questions written in the same way one would speak or write to another person. Whether you know it or not, you are using NLP to process, interpret and return results that meet your criteria.
