It is only when Data Analytics start meshing with advanced technologies like Machine Learning and Deep Learning that enterprises will reap the benefits of their analytics and Business Intelligence (BI) activities. Those technologies require well-planned Data Science principles built around business need. Such Data Science use cases are now mature enough that business owners, leaders, […]
Why Data Governance is Important for Business Intelligence Success
Businesses have started to realize that a sound Data Governance strategy can significantly improve the returns from enterprise Business Intelligence (BI) investments. According to a study published by Forbes Insights, this market-watcher claims that Strong Data Governance Enables Business Intelligence. The Forbes study claims that this trend has been reinforced by direct feedback from global […]
Big Data as a Service: What Can it Do for Your Enterprise?
The multiple V’s of Big Data require the hardware architecture operating it to be “distributed” and rooted in parallel processing for the most efficient management possible. Although the data sources for Big Data can be anywhere, when the multi-channel data is pulled into the Big Data environment, then the two significant characteristics that distinguish Big […]
The Innovative Data Scientist: Overcoming the Big Data and Data Management Divide
In an ideal world, a Data Scientist is expected to demonstrate a rare combination of technical, analytical, and communication skills that make them sought after data innovators. In the real world, Data Scientists arrive from a wide variety of academic majors like mathematics, statistics, economics, operations research, or computer science. Additionally, the roles they assume […]
Hadoop and Enterprise Information Management: Leveraging Big Data Solutions
The past few years have firmly established the importance of Big Data in the global business environment. 2017 looks to be the the year of greater Apache™ Hadoop implementation (both in terms of its open source development and more available commercial options) at the enterprise level, as Enterprise Information Management (EIM) continues to need more […]
The Value of Machine Learning: Benefits and Best Practices
Machine Learning (ML) is a specialized sub-field of Artificial Intelligence (AI) where algorithms can learn and improve themselves by studying high volumes of available data. In this field, traditional programming rules do not operate; very high volumes of data alone can teach the algorithms to create better computing models. Given the unique attributes of Machine […]
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 […]
Artificial Intelligence Use Cases: An Overview
The biggest benefit of Artificial Intelligence (AI) Applications across industries is the tremendous adaptive capability of AI to fit into any industry sector. The number of Artificial Intelligence use cases are currently expanding throughout the Data Management industry in ways never seen. The rapid robotization of human functions has been perceptibly felt in many industries […]
Artificial Intelligence Applications: Revolutionizing Data Management
The Smart Machine Age is upon us and is likely to disrupt many different human processes, tasks, and activities over the next 10 years and far longer as the key technologies continue to develop. The gradual availability of higher computing power at low costs, the explosive volumes of business data, and advances in Machine Learning […]
Impact of Big Data in Enterprise Information Management
The widespread impact of the upheaval caused by Big Data and the push for Advanced Analytics worldwide is well documented. One of the key components of business engagement is Enterprise Information Management (EIM) and as the white paper The Age of Analytics: Competing in a Data-driven World claims, comprehensive Information Management is only possible if […]