Nov 30, 2020 | Article
More and more businesses are investing in data analytics and data-driven decision making, creating a need for employees who proficient at working with vast volumes of high-velocity data. Citizen data scientists are the people who are rising to fill this increased demand for data scientists in organizations. Citizen data scientists are power-users who can do both simple and complex analytical tasks with software and tools.
Here is a list of 5 essential tools to enable your company’s Citizen data scientists:
1. Knime
KNIME is a free, open-source business intelligence analytics platform that enables users to understand data quickly and mine for fresh insights. Designing workflows in KNIME is very easy due to its simple drag and drop process. KNIME combines a variety of elements for machine learning through its modular data pipelining model. It is quite popular as it uses natural language for processing.
Pricing: KNIME Analytics Platform has a free version.
2. Dataiku
Dataiku is an excellent collaborative platform with a user-friendly visual interface supporting both built-in and custom solutions. It enables self-service analytics, operationalization of machine learning models, and enterprise AI, including building, deploying, and predictive monitoring of data flows to solve problems.
Pricing: The community edition is free. Other versions need to be purchased, but they offer a free trial of 14 days.
3. H2O.ai
H2O.ai is an open-source automatic machine learning platform that allows users to extract essential information from data without prior knowledge of machine learning models. It has an intuitive graphical user interface and enables models to be visually inspected during training.
Pricing: H2O is free. Driverless AI needs to be purchased, but they offer a free trial of 21 days.
4. DataRobot
DataRobot is an automation platform that helps develop accurate predictive models and makes it easy to implement a broad range of Machine Learning algorithms. It allows you to find, prepare, and structure your data swiftly. The autopilot lets you build plenty of varied models in minutes.
Pricing: They offer a free trial.
5. Alteryx
Alteryx is a powerful data analytics tool specializing in self-service analytics with an intuitive drag-and-drop user interface with no coding requirements. It also has a series of predictive analytics modeling tools and visualization tools, which allow users to combine, prepare, blend, and visualize multiple data sources. Alteryx makes applying machine learning more accessible and more agile with a no-code, easy-to-use platform.
Pricing: They offer a free trial.
Have you ever had trouble working with large datasets? Are you frustrated having to move large datasets from a data warehouse to the workstation that has your analytical tools? Are you still using slow ODBC/JDBC connectors? You need to consider using modern data analytics tools with in-database query capabilities.
Have you ever wondered why your data projects take longer? It’s mostly due to long lead times to find the data, get access, fix data quality issues, and solve other unexpected bottlenecks. A ‘data operations’ team (DataOps) can help you address these issues and get the most value out of your data.
Data warehouses, data lakes, data virtualization, and data marts are all popularly used approaches to data integration and storage. Even though they all have similar core functions, it’s essential to understand the differences between them to find the right approach that fits your organization’s data needs.
