To be successful in business, every organization must find a way to accurately forecast and predict the future of its market, and its internal operations, and better understand the buying behavior of its customers and prospects. With the democratization of business intelligence and the advent of self-serve business intelligence tools, organizations hope to encourage and create Citizen Data Scientists and enable the average business user to leverage sophisticated predictive algorithms and BI tools without the expertise and skill of a trained data scientist. This approach allows users who are not statisticians, data scientists, programmers or analysts to leverage self-service tools to confidently make business decisions, share data, and reports and present data in a way that allows the organization to identify trends, patterns, opportunities and challenges.
If your organization is implementing self-serve business intelligence, it is important to balance sophisticated tools with the skills of the average business user. While algorithms and advanced data analysis are a great benefit, if business users find these tools daunting, they won’t adopt them, and you won’t improve productivity, or timeliness or accuracy of decision-making.
ElegantJ BI is pleased to be a Silver Sponsor at the Gartner Data & Analytics Summit, which will be held on June 6 and 7, 2017 in Mumbai, India. The theme of the conference is ‘Lead in the Age of Infinite Possibilities’.
To be successful in business, every organization must find a way to accurately forecast and predict the future of its market, and its internal operations, and better understand the buying behavior of its customers and prospects. To accurately predict and plan, every enterprise must select a business intelligence solution that will support their efforts and provide business users with a rich set of features and tools.
If you are frustrated with BI tools, and looking for self-service Advanced Analytics to achieve your goals and empower users, you should understand the difference between traditional BI tools and the Smarten Advanced Data Discovery approach. The 