What is advanced analytics? Where to start? Advanced analytics takes analysis to the next level by providing sophisticated techniques designed to get to the heart of data and offer insight and answers with which businesses can make more accurate decisions and develop more dependable, accurate plans and forecasts. Advanced Analytics includes predictive analytics, smart data visualization, and other components.
ElegantJ BI, an innovative vendor with its Smarten approach to Augmented Analytics and Self-Serve Data Preparation, is pleased to announce that Elegant MicroWeb (Smarten) is included as one of the Other Modern: Asia-Focused Vendors in the Gartner ‘Other Vendors to Consider for Modern Analytics and BI’ Report published on October 29, 2018.
Augmented Analytics may sound complicated but the goal is to use all those complicated analytical techniques and algorithms as an underpinning for an advanced analytics solution that is suitable for the skills o an average business user. In other words, the system may be complicated, but the interface and process to gather and analyze information is easy!
This article will focus on the Naïve Bayes Classification method of analysis.
The benefits of advanced data discovery do not have to be limited to data scientists or IT staff. If you choose the right data discovery tool, your business users can enjoy the benefits of confident business decisions, shared analytics and a common approach to, and understanding of, data-driven, fact-based metrics and results.
Search Analytics or search-based analytics marks the advent of a new era of business intelligence, in that it allows business users to ask a question using natural language and that question is translated by the system to produce results.
Don’t think that advanced analytics is too complicated for your business users. Nothing could be further from the truth! You can create Citizen Data Scientists and improve the analytical abilities and outcomes for your average business user if you give them the right tools.
As advanced analytics and self-serve, augmented analytical tools make their way into the average enterprise, the average organization struggles to quantify the effects and, moreover, to understand and leverage the changes within the business.
Terms like Advanced Data Discovery and Augmented Analytics can seem mysterious and daunting for the average organization. Managers, executives and IT staff may believe that business users cannot and will not adopt advanced analytics tools because these tools can only be used by data scientists, programmers or business analysts.
If your organization is planning to implement advanced analytics tools or to democratize the use of data discovery tools, your IT staff and senior management are probably concerned about losing control of data access and about data security. Data governance is a real concern and it should not be minimized but there is no reason to change course and decide against data democracy just to accommodate data governance.
