Statistica is an incredibly flexible analytics software that lets users create analytical workflows that are published and packaged for business users to Explore interactively and visually. Create and implement predictive, statistical machine learning, data mining forecasting, optimization, and text analysis models.
Statistica allows you to innovate and solve more complex problems, empower more people, and integrate algorithms across the globe to ensure that insights are quickly transformed into the best results.
TIBCO Software, Inc. A global market leader for integration and API control, analytics, and integration announced Statistica 13.3. This software helps you innovate and tackle complex issues quicker, empowers more users, and blends algorithms worldwide to help you turn your insights into optimal results.
Data science is an activity for teams. Data scientists, citizen data scientists, business users, data engineers, and developers require adaptable and flexible tools to encourage collaboration and automation and reuse workflows for rational analysis. The algorithms are just part of the complex analysis puzzle. To provide predictive insights, businesses must intensify their focus on the deployment monitoring, managing, and managing analytics models. Innovative businesses depend on platforms that facilitate the whole lifecycle of analytics and provide security for the enterprise and management. TIBCO(r) Data Science software allows organizations to innovate and solve complex problems faster, ensuring that predictive insights are swiftly converted into optimal results.
TIBCO The Data Science application from TIBCO helps companies automate their routine and design business solutions powered through machine-learning (ML) algorithmic techniques that address real-world issues, from data prep and creation of models to deployment and monitoring. Get your app up and running by using pre-built templates.
Utilize the creative talents of all employees, from employees to experts. Keep security and transparency in version control, transparency, and audibility. It combines AutoML and intuitive drag-and-drop workflows with integrated Jupyter Notebooks, making creating and sharing reusable modules simple. To develop operational solutions, create workflows using Spotfire analytics to connect the ML, data process, processes, and humans.
Cloud services, frameworks, and open-source technologies like Python and R are often complex and daunting. TIBCO Software for Data Science helps simplify machine learning and data science in hybrid ecosystems. Utilize TensorFlow, SageMaker, Rekognition, Cognitive Services, and others to manage the complex open-source ecosystem and develop innovative solutions. Learn more about them or launch an AWS Instance today.
ML graph/network, predictive text analytics Regression, clustering the time series and decision trees in the neural network, mining data, statistical process control (SPC), and the design of experiment (DOE) are all accessible through built-in nodes.
Automated analytical models based on big data machine-learning algorithms iteratively learn from data and improve performance. Allow your computers to discover new patterns and new insights without explicitly telling them to know where to search. Learn to manage vast amounts of data.
Collaboration with ease lets citizens/business experts, developers, engineers, and data scientists infuse algorithms into systems for business. Drag-and-drop functionality makes it simple to do data preparation, analysis scoring, and pipeline design. Annotate and share data models, scripts, models, and workflows.
Comparison of models with tests using champion-challenger. Model drift alerts and signal when it is time to refresh. Create workflows and set the time for them to run according. Push PMML and PFA Real-time scores into Cloud Foundry, AWS, or Google App Engine. Create models using EMR or Redshift, and implement them on-premises on Oracle and Teradata.
TIBCO Data Science Software communicates with tight clusters to enable advanced analysis for Hive & Spark using IT security guidelines for data. Utilize role-based security on any item in the system. It includes built-in version control, audit logs, and approval processes.
Analytic pipelines can be extended by seamlessly integrating with Amazon, Azure, and Google ecosystems, as well as Python, R, Jupyter Notebooks, C#, and Scala. Customize your operators that can be reused throughout your company and run in the database, within the cluster, or on edge.
