The job responsibilities of a citizen data scientist include dealing with new data, using automated tools to process big data, and creating additional models to gain additional insights. Their primary job is not to make predictions directly from big data, or develop prescriptive analytics, but to build models and use tools that accomplish those goals. […]
Fundamentals of Self-Service Machine Learning
The recent organizational push for self-service Business Intelligence has helped the next challenge for business users become an increasing need. How to tackle the issue of having Machine Learning (ML) models embedded in all major analytics platforms? On the one hand, embedded models offer greater freedom and control over data analysis; on the other hand, […]
Four Technology Trends That Will Shape Data Analytics in 2021
Click to learn more about author Sam Mahalingam. The profile of data analytics has never been higher. Faced with the unprecedented challenges of COVID-19, governments around the world are typically relying on advanced statistical modeling to make sense of a barrage of constantly changing metrics. Data scientists are playing a critical role, advising decision-makers as […]
What Is Data Discovery?
Data discovery describes processes in understanding data sets on hand for data integration and/or data analysis. This step occurs in design and should combine technical search from tools with subject matter expertise, from people. During data discovery, a high-level view is taken in assessing data preparation, or data quality needs. Data discovery can be broken […]
Data Modeling Trends in 2019
IT technologies are rapidly changing our lives. Whether it’s your daily grocery purchase, monthly bill payments, booking railway tickets, or receiving online healthcare consultation, data technologies have penetrated every business model, large, medium, or small. Recent cloud platforms, coupled with Big Data and IoT technologies, have ushered in a new era of “smart technologies” powered […]
The Future of NLP in Data Science
According to many market statistics, data volume is doubling every two years, but in future this time span may get further reduced. The vast portion of this data (about 79 percent) is text data. Natural Language Processing (NLP) is the sub-branch of Data Science that attempts to extract insights from “text.” Thus, NLP is assuming […]
Augmented Analytics and Data Discovery
In a normal business day, waiting to get critical data analyzed and presented in the form of an understandable report can be a waste of valuable time for business users of all levels. Moreover, a report developed by expert Data Scientists or other IT staff may be beyond ordinary comprehension, amounting to even more wasted […]
Waterline Data Unveils Universal Data Catalog to Empower Citizen Data Scientists
by Angela Guess According to a new press release, “Waterline Data, The Smart Data Catalog Company, continues to clear the hurdles impeding Hadoop adoption in the enterprise by announcing today the immediate availability of Smart Data Catalog 3.0, the latest version of the industry’s most comprehensive data catalog available. Waterline Data allows organizations to replace […]
Is Data Science Better as a Team Sport?
by Angela Guess Alex Woodie recently wrote in Datanami, “Shakespeare once pondered the nature of names, pointing out that ‘a rose by any other name would smell as sweet.’ For data scientists, the meaning behind the title is not just an epistemological exercise, but a practical problem that has consequences upon that delicate dance between […]
The Year of the Citizen Data Scientist
by Angela Guess Mary Shacklett recently wrote in TechRepublic, “I recently visited with Shawn Rogers, Chief Research Officer at Dell Statistica, a business unit within Dell’s software group. Rogers predicted a growth in Internet of Things (IoT) big data initiatives in 2016, in addition to an enterprise push for more real-time IoT applications. He said […]