Best Data Management Software for SAS Analytics Pro

JMP, data analysis software Mac and Windows, combines powerful statistics with interactive visualization. It is simple to import and process data. Drag-and-drop interface, dynamically linked graphics, libraries of advanced analytics functionality, scripting language, and ways to share findings with others allow users to dig deeper into their data with greater ease. JMP was originally developed in 1980 to capture the new value of GUI for personal computers. JMP continues to add cutting-edge statistical methods to the software's functionality with every release. John Sall, the organization's founder, is still Chief Architect.

COZYROC's SSIS+ suite includes 270+ Data integration adapters, ETL components and tasks for developing ETL solutions with MS SQL Server Integration Services.

Discover insights to boost sales growth with code-free, fully automated data pipelines to data lakes and cloud warehouses. Flexible, standards-based platform that unifies sales and marketing data to automate insights and smarter growth. Say goodbye to manual data downloads that are expensive and messy. You will always know exactly what you'll be charged and only pay what you actually use. Access to data-ready data is a great way to fuel your tools. We only work with official APIs as certified developers. Data pipelines from well-known sources are easy to use. These data pipelines are pre-built, pre-transformed and ready to go. Unlock data from Amazon Vendor Central and Amazon Seller Central, Instagram Stories. Teams can quickly and economically realize the value of their data with code-free data ingestion and transformation. Databricks, Amazon Redshift and other trusted data destinations like Databricks or Amazon Redshift ensure that data is always protected.

SAS®, Viya®, data science offerings offer a comprehensive, scalable analytical environment that is quick and easy to use, allowing you to meet diverse business requirements. Automatically generated insights allow you to identify the most commonly used variables across all models, the most significant variables selected across models, and assess results for all models. Natural language generation capabilities allow you to create project summaries in plain language. This makes it easy to interpret reports. Analytics team members can add project notes and comments to the insights report to facilitate communication between team members. SAS allows you to embed open source code into an analysis and call open-source algorithms seamlessly within its environment. This allows for collaboration within your organization as users can program in the language they prefer. SAS Deep Learning with Python (DLPy) is also available on GitHub.

Get web scraping services that are trusted by more than 2900+ companies worldwide. Web scraping allows businesses to take unstructured data from the internet and transform it into structured data that can be used by their applications. This creates significant business value. Access to real estate listings, prices and price changes, historical trends, agent information, property details, sales history, as well as other information. The data is sourced from thousands of real-estate listing sites around the world. You can extract a list of people, companies, email addresses, phone numbers, and email addresses for the industry you work in. You can outsource lead generation and concentrate on nurturing leads. You can tap into hundreds of datasets like pricing, volume, sentiments and Twitter, StockTwits, news and sentiment, as well as many other data points. You can access historical and up-to-date data for publicly traded companies.