We live in a world driven by insights and decision making fueled by data and analytics. Information and technologies are so ubiquitous that no organization needs to be a digital titan (such as Amazon or Google) to compete in today’s world of business. Companies, large and small, are recognizing the need to utilize the full value of their…Continue
Added by Aaron Burciaga on October 9, 2019 at 11:32am — No Comments
Data scientists like me are typical left-brained thinkers: detail-oriented, logical and quantitative. We want to study, process and analyze data to extract insights from it. Customer experience experts, on the other hand, gravitate toward a more intuitive and creative…Continue
Added by Aaron Burciaga on August 26, 2019 at 3:40pm — No Comments
When trying to implement informed business solutions, what you see is all there is (WYSIATI), which can result in being “data-nearsighted.” For this reason, it is crucial to have a comprehensive data strategy in order to make better business decisions and implement efficient business solutions…Continue
Added by Aaron Burciaga on July 16, 2019 at 11:11am — No Comments
AI and machine learning have advanced rapidly over the past few years, and many have suggested that 2019 will be the year for businesses that have waited to finally embrace this new technology. Only 15% of enterprises are currently using AI, but 31% are slated to add it to their strategy over the next 12 months, according to a Digital Trends Report by Adobe. There…Continue
Added by Jay Bourland on November 1, 2018 at 4:58am — No Comments
Gives me immense pleasure to announce the release of our book “Practical Enterprise Data Lake Insights” with Apress. The book takes an end-to-end solution approach in a data lake environment that includes data capture, processing, security, and availability. Credits to the co-author of the book, Venkata Giri and technical…Continue
Added by Saurabh K. Gupta on June 30, 2018 at 10:13am — No Comments
What is Data Mining?
Data mining is an integrated application in the Data Warehouse and describes a systematic process for pattern recognition in large data sets to identify conclusions and relationships. Using statistical methods, or genetic algorithms, data files can be automatically searched for statistical anomalies, patterns or rules.
Wikipedia defines Data Mining as “Data mining is an interdisciplinary subfield of computer science. It is the computational process…Continue