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analytics staff is second to none. On the downside, the software isn't cheap, and unless you have ongoing projects that require continued advanced analytics
Spotfire Data Science (formerly TIBCO Data Science) is a comprehensive platform for operationalizing data science, allowing users to scale data science across an organization to solve complex challenges faster and speed innovation. It is designed to enable data scientists to create innovative…
The following is a quick overview of editions offered by other software in similar categories
Databricks in San Francisco offers the Databricks Lakehouse Platform (formerly the Unified Analytics Platform), a data science platform and Apache Spark cluster manager. The Databricks Unified Data Service aims to provide a reliable and scalable platform for data pipelines, data lakes, and data…
Wolfram's flagship product Mathematica is a modern technical computing application featuring a flexible symbolic coding language and a wide array of graphing and data visualization capabilities.
IBM SPSS Modeler is a visual data science and machine learning (ML) solution designed to help enterprises accelerate time to value by speeding up operational tasks for data scientists. Organizations can use it for data preparation and discovery, predictive analytics, model management and deployment,…
analytics staff is second to none. On the downside, the software isn't cheap, and unless you have ongoing projects that require continued advanced analytics
handy tool for presentations as well. A collaborative ability is highly valued for my company where we often work from home or on site. Being able to share
two. Overall, we are planning on 4 years to fully recoup the cost of the software and the cost of implementing identified projects.
If we take license/maintenance into account, Data Science license is low cost and good for those taking 'first steps' in statistics, or for students entering … R cost us 3-5k€, with training more. If we take license/maintenance into account, Data Science license is low cost…
Saves time by calculating things such as median value. Easy to generate diagrams. Easy to import data sets. Saves time because
for software. At the current price point, would have expected more (such as Mathematica breadth of functionality for one price). It is light on optimization … team, mostly with regression and other methods to show relationships between cost and service parameters within Schneider…
In the past, cost, ease of use, and versatility were what made me choose Data Science. However, the cost concern may be leading my company … were also TIBCO Data Science users for the same types of questions, but the cost of the software is a handicap toward getting more…
processor that it uses the right algorithms to achieve a dependable statistical value. … processor that it uses the right algorithms to achieve a dependable statistical value.