What on earth is smart data visualization? Is it a computer that actually ‘sees’ data for you and does the analysis? Not quite. Sorry to say that even with advanced analytics that provides smart data visualization, you will have to do SOME work, but fortunately, you will not have to guess!
The process of predictive analytics has come far in the past decade. No longer is this process the sole responsibility of data scientists or IT staff. Today’s self-serve predictive analytics and forecasting tools are designed to support business users and data analysts alike.
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.
There are lots of Tally users out there, and users are familiar with the solution and find it very valuable. It is great to leverage the power of ad-hoc data mining and visualization and your users are probably dependent on this solution. But, if your organization is like every other business, your reporting and data analytical needs are never-ending, and data-driven, fact-driven analysis and decision-making is an imperative.
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!
If you are a Tally user, you know that you and your team love Tally, and the inherent power of the features and functionality and the reporting capabilities can support your organization with valuable information, and help you report on and understand day-to-day issues and operational and strategic issues.
If you work in a large enterprise, you are most certainly familiar with SAP®. SAP provides ERP solutions that stretch across the organization and these systems contain data that is crucial to your organization. If your business is like most, you are focused on metrics, business intelligence and data-driven decisions. But, how do you leverage the data contained in your SAP systems to gather, prepare and analyze data and combine that data with other data sources across the enterprise so that your users can clearly see outcomes, discover insight and opportunities and identify issues before they become problems?
What is Search Analytics? When a business user or analyst employs search analytics, it is for the express purpose of gathering content and data from various sources to achieve an analytical outcome. The data is gathered by ‘searching’, often using natural language processing. The benefits of natural language processing are many.
This article will focus on the Naïve Bayes Classification method of analysis.
In this article, we discuss the analytical method known as frequent pattern mining, previously known as ‘association’.
