What is Augmented Analytics and Can it Benefit My Business?
What is the difference between analytics and augmented analytics? The simple answer is this: augmented analytics provide sophisticated analytics tools in an easy-to-use environment that offers guidance and recommendations, and a natural language processing (NLP) interface that makes it possible for every business user to leverage the solution, no matter their technical or analytical skills or experience.
The average business user does not have a full grasp of Advanced Data Discovery or Data Preparation methods, and most organizations would not want business users to waste precious time trying to navigate the complexities of a manual data preparation process. If a business provides a solid foundation for self-serve business intelligence with augmented data preparation features, business users can quickly and easily prepare data for analysis and get the results they need to move forward and make decisions.
When asked about using an analytical solution to find and use data and make decisions, many business users feel insecure about the process required to get to the results. Data preparation has traditionally been the domain of a data scientist, a business analyst or an IT professional.
Every business has heard and read about business intelligence and the benefits of building a base of intelligence from which to drive your business results and make fact-based decisions. One of the benefits that is often overlooked is the aspect of Social BI. When a business chooses a BI tool that encourages social BI, it further promotes user adoption, data democratization and data literacy. As business users embrace and share data, their level of proficiency and comfort will increase and the business can achieve the results it hopes for and improve productivity, collaboration and the use of data within the organization.
When you are trying to implement a data democratization initiative and give your business users access to analytics, you can run into roadblocks with analytical tools and solutions that are too difficult for the average skills of a business user. It is impossible to achieve your goals and ensure that every user is comfortable with data analytics and fact-based decision-making if you don’t give your users a tool that they can use as easily as they use Google or other familiar search mechanisms.
Citizen Data Scientists…the predicted future of the organization! Gartner and other technology research firms have predicted the rise of Citizen Data Scientists as a way to complement and optimize data scientists and to democratize data and improve data literacy across the enterprise.
When businesses take on the task of forecasting and planning, it is important to provide the tools to go through this process at all levels with data integrated from the various systems and databases across the enterprise and to provide simple tools for all users that can be adopted and used to take on the various tasks and responsibilities involved in planning and accurate forecasting.
When a business is looking for a business intelligence vendor, business managers will often look to a Gartner Magic Quadrant Report for a comparison of BI Tools. There are numerous choices listed in Self-Service BI Gartner reports and it may be difficult to determine which is best for your business.
An advanced analytics solution that is designed for augmented analytics, must be easy enough for the average business user to achieve results without IT skills or the skills of a data scientist. When a business user can leverage clickless analytics search capability, the user can achieve rapid, clear results and use those results to solve problems, share information and optimize opportunities for the business.
When you consider data democratization and rolling out a BI tool or analytical solution to your team members across the enterprise, you have to think about how to ensure that team members can easily adopt analytics and use them in their day-to-day tasks with a clear understanding of the results.
