Top 10 Profitable Data Science Tools Used in Business in 2022
Businesses want to leverage profitable data science tools for effective data management
There is an immense growth in the adoption of data science and data science tools in multiple industries across the world, especially in business. Data science tools in business are driving revenue and customer engagement for the long run in the competitive market. The integration of data science and artificial intelligence has provided automation and effective data management. Business with data science tools has started offering multiple end-to-end data science solutions to clients. Thus, let’s explore some of the top ten profitable data science tools to be used in businesses in 2022.
Top Ten Profitable Data Science Tools in Business
Tensorflow is one of the profitable data science tools to be used in a business. It is known as an end-to-end open-source platform for machine learning. It helps a business with data science tools, libraries, and easy model building. This data science tool provides the first neural network, recommender systems, generative adversarial networks, and many more.
Microsoft PowerBI is one of the popular data science tools in business that creates interactive and immersive dashboards and reports to drive meaningful in-depth insights for a business. It empowers businesses to retrieve insights from enormous sets of data with business intelligence. Businesses can receive self-service analytics at enterprise scale with smart tools while protecting all analytics data efficiently.
PyTorch is another top profitable data science tool in businesses for the deep learning framework. Business with data science tools is always production-ready with TorchScript and scalable distributed training in a robust ecosystem. It is known for boosting the path from research prototyping to production deployment.
Alteryx is known as the only business intelligence platform with self-service data preparation and agile predictive modeling. Businesses with data science tools can alter the future with Alteryx analytics automation. This profitable data science tool offers a wide range of products with data science such as Alteryx APA platform, location and business datasets, intelligence suite, machine learning, designer cloud, and many more.
Lumen Data is one of the data science tools in the business for transforming data complexity into business strategies. It has strong experience with the enterprise data management lifecycle to unlock business values efficiently. It helps in effective data governance and tracing data lineage with technical know-how. It is popular for reducing cost, enhancing data-driven insights, and automating business processes.
Tableau is another profitable data science tool that makes businesses understand valuable data. It provides a modern analytics platform across the world with data culture and technology. It consists of customer-focused innovation with built-in visual best practices. The data science platform is flexible with multiple choices, governance, and security, as well as integration and extensibility. There is a wide range of products for a business such as Tableau Prep, Tableau Desktop, Tableau Server, and Tableau Online, and Tableau mobile.
Businesses with data science tools use Trifacta’s data preparation products to offer the best solutions to the data-driven market. Trifacta offers self-service data preparation solutions for exploring and effective data management. Businesses leverage business and decision expertise in Trifacta. It offers an open data engineering platform to connect to any data, multi-cloud support, flexible execution, universal connectivity, and API-driven workflow with active data profiling and smart sampling.
RapidMiner helps to integrate business intelligence and data science with its RapidMiner data science platform. It drives revenue, reduces costs, and eliminates potential risks. It offers opportunities to unify the entire data science lifecycle from data preparation to machine learning and predictive model operations. Businesses with data science tools can have enterprise-wide collaboration, decision automation, and deployment with control.
Informatica is one of the profitable data science tools that believe data is the soul of business transformation. It helps businesses to transform from binary information into extraordinary innovation. This data science tool empowers the next-gen cloud data innovation. It offers Intelligent Data Management Cloud (IDMC) for effective data management. It also provides data warehouse, data lake, app modernization, data governance, and privacy.
QlikView is a popular data science tool with powerful interactive analytics and dashboards. It has revolutionized businesses with classic analytics solutions and the game-changing associative engine. The powerful augmented analytics and a governed multi-cloud architecture provide a full range of analytics use cases at an enterprise scale.