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.
Natural Language Processing (NLP) is a trend that has taken over technology. Vendors are applying this technique to all types of searching and Advanced Analytics is no exception.
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.
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.
ElegantJ BI, an innovative vendor in Business Intelligence, Augmented Analytics and Augmented Data Preparation, is pleased to announce its participation in the Gartner 2018 INDIA Data & Analytics Summit from 5 – 6th June 2018 in Mumbai, India. ElegantJ BI is proud to be a Silver Sponsor at this important event.
Are you up on the latest analytics lingo or do you still think smart visualization is some kind of artificial eyeball? Well, before you embarrass yourself at the next business conference, let’s get the facts!
Augmented analytics can help your business users to find and understand critical data and to do their jobs more effectively. Without the knowledge of a data scientist or an IT professional, business users can perform advanced analytics, using features that guide and make recommendations at every step so that data is prepared, viewed and analyzed in a way that ensures clarity and a comprehensive understanding of trends, patterns, and data sensitivity and success thresholds.
Augmented Analytics and augmented data discovery is a form of advanced data discovery that automates data insight using machine learning and natural language generation. It automates data preparation and makes it easy for business users to enjoy data sharing.
I have a few pet peeves but every one of my team members knows ONE of these pet peeves all too well. I HATE spending time and resources on endless report customization and data sharing that never quite makes it to every team member. I hate it when everyone isn’t on the same page! But, I don’t have the time to run to every office and check on what team members are using to make decisions.
There are so many new terms in the business intelligence and advanced analytics domain. So, what is augmented data discovery, and why is it important for your enterprise? Augmented Data Discovery (aka Smart Data Discovery), takes the enterprise beyond data monitoring and helps users discover the more subtle yet crucial factors that affect business success. It identifies hidden issues and patterns within the data so the organization can address challenges, capitalize on competitive and market advantages and plan for the future with more confidence. There are a couple of components to the augmented data discovery continuum.
