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?
Gartner research reveals that, ‘90% of corporate strategies will explicitly mention information as a critical enterprise asset and analytics as an essential competency.’ As business professionals, we all know that information is power and today, your business users are expected to know more and to keep pace with industry, market and customer changes that will negatively impact the business or have provide potential opportunities. But how do your team members achieve these goals when they are busier than ever, and the changes are coming more rapidly than ever!
‘Simple, self-serve BI tools can provide your business with the foundation to achieve your goals with features and tools like Social BI, Mobile BI, Embedded BI, etc.’
In this article, we will discuss the topic of modern business intelligence tools and solutions and the advantages of providing self-serve tools to your users for day-to-day analysis and intelligence gathering.
First, let’s look at some of the challenges you will need to consider when implementing self-serve BI tools:
There are many other challenges and considerations that should inform your BI tools strategy, but these two are perhaps the most important.
Now, let’s consider some of the many benefits of self-serve business intelligence and how it can support your goals and simplify the lives of your business users:
There are many other advantages to Self-Serve Business Intelligence. This short list should give you some ideas of how you can leverage these tools in your own business landscape.
‘As business professionals, we all know that information is power and today, your business users are expected to know more and to keep pace with industry, market and customer changes that will negatively impact the business or have provide potential opportunities.’
Business Intelligence solutions should include tools and techniques that make it easier to achieve data literacy and provide data analytics access to all business users. Simple, self-serve BI tools can provide your business with the foundation to achieve your goals with features and tools like Social BI, Mobile BI, Embedded BI, etc. Let us help you achieve your vision and improve productivity and insight across the organization.
Original Post : Let’s Discuss: Benefits and Challenges of Self-Serve BI!
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.
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.