It’s clear that there is considerable recent market movement towards self-service business intelligence (SSBI) in the numerous vendor offerings available. There is also a growing concern among the Data Science community that ordinary business users may misunderstand or misinterpret the available data, leading to incorrect results. Experienced data scientists have a tremendous ability to analyze, […]
Data Models That Build Themselves
Click to learn more about author Mike Brody. Self-service Business Intelligence (BI) is about bridging the knowledge gap that has historically separated business professionals from their data. It’s about doing away with intimate knowledge of information systems as a prerequisite for finding out last quarter’s growth margin. And when it comes to replacing SQL statements with […]
Provisioning Data Catalogs with Metadata: A Variable Challenge
Click to learn more about author Roland Bullivant. Data Catalogs are a fast-growing critical component of an Enterprise Information Management strategy. They provide a solution to document, and enable users to find and understand, how data is used across the enterprise data landscape. This is particularly valuable in the context of Data Governance and compliance, […]
Limitations of Predictive Analytics: Lessons for Data Scientists
The evolving technology of Predictive Analytics is opening new possibilities for predicting future events by studying past performance. Now that Big Data enables Data Scientists to review massive amounts of data, users can hope that the degree of accuracy in future predictions will only rise. Yet, actual field tests reveal a different story. The element […]
5 Pitfalls to Avoid from Real Stories of Analytics Projects (Part 2)
Click to learn more about author Germán Viera. Click to read 5 Pitfalls to Avoid from Real Stories of Analytics Projects (Part 1) Where Do Real Companies Fail? Every time an organization embraces the task of generating added value from their data efforts a great buzz darkens the scenario; mainly because of the lack of […]
5 Pitfalls to Avoid from Real Stories of Analytics Projects (Part 1)
Click to learn more about author Germán Viera. In today’s modern workplace, capitalizing data is not a competitive advantage anymore, but a must have skill. Businesses around the world are transforming their data flow processes in order to democratize the information within their own structure. The objective is to provide mid-managers and area managers the […]
A Comparative Roundup of Business Intelligence and Analytics Trends: Product Development
Gartner has predicted that the current size of the global Business Intelligence and Analytics market is upwards of $16+ billion. The product development trends in this combined market have maintained the tempo of Self-Service Business Intelligence (SSBI) and guided data discovery with limited intervention from IT. The emerging need for “accessibility, agility and deeper analytical […]
A Comparative Study of Business Intelligence and Analytics Market Trends
The global Business Intelligence and Analytics market this year has already reached or is nearing $16.9 Billion, according to Gartner. The BI and Analytics market has undergone a major transformation from an enterprise IT-led, record reporting system to business-driven self-service data explorations. This turnaround of trends in Business Intelligence (BI) and Analytics indicates a larger […]
Self-Service Business Intelligence is Big, but is it for Everyone?
What intelligence are we seeing lately about the state of Self-Service Business Intelligence (SSBI)? Let’s start with the fact that the numbers are pointing up. According to a recent report published by Research and Markets, the global Self-Service Business Intelligence market will grow from $3.6 billion in 2016 to $7.3 billion by 2021, at a […]
2017 Machine Learning Trends
Machine Learning (ML) has revolutionized the world of computers by allowing them to learn as they progress forward with large datasets, thus mitigating many previous programming pitfalls and impasses. Machine Learning builds algorithms, which when exposed to high volumes of data, can self-teach and evolve. When this unique technology powers Artificial Intelligence (AI) applications, the […]