Deciding which software to use can be a daunting task, especially if you don’t fully understand what the software does. Therefore, you should narrow down your list of predictive analytics software and then research and compare each one’s features and criteria. After this analysis, you will be able to determine which predictive analytics solution fits your needs.
The field of predictive analytics software offers many choices for firms that want to achieve deeper insights into their business. Depending on the firm’s specific needs, there are several factors that you should consider when deciding on the best predictive analytics software for your company.
SAP Analytics Cloud
SAP Analytics Cloud covers a vast range of data analytics tools in one cloud-based suite. For example, natural language processing working in the background lets you ask questions in a conversational format and get instant, data-driven answers.
Being on the cloud makes it easy to deploy and scale. Plus, advanced machine learning features streamline many otherwise time-consuming tasks and let you unlock previously hidden details. The Smart Discovery tool applies machine learning to selected data sets, showing relevant patterns and relationships without human bias. Also, you won’t need the help of a data science professional to avail of this feature.
The Smart Insights capability brings context and clarification to your data. At the same time, intelligent algorithms running in the background suggest additional visualizations that make your information more actionable and easy to understand. Although SAP Analytics Cloud includes many advanced options, it remains easy to use and accessible.
Microsoft Azure Machine Learning
Azure Machine Learning is a simple, well-laid-out predictive analytics tool that anyone can start using quickly. It supports coding and non-coding operations, giving businesses more flexibility.
The drag-and-drop machine learning algorithm builder streamlines the creation and publishing processes. You can use it to automate data labeling tasks, too. If you’re worried about unintentionally introducing bias into the models, this tool’s disparity metrics help you spot and remedy such problems early. Security is another selling point of this product. It enables setting up role-based access control for access and resource usage.
Since this tool works with numerous development frameworks and programming languages, it’s a convenient option for minimizing your organization’s predictive analytics learning curve. You’ll also appreciate only paying for what you need, since this Azure product does not require upfront investments. The ability to set workspace and resource-level quotas help you manage spending, too.
SAS Visual Statistics
SAS Visual Statistics lets users see data on a granular level, unlocking new insights faster and achieving competitive advantages over competitors. Set up the interface to allow multiple people to interact with the information, whether adding or changing variables or dealing with outliers. Users can also instantly learn how changes alter a model’s predictive capabilities.
This tool also has self-service cleaning features with built-in artificial intelligence. You can access, clean, and transform data from a single intuitively designed interface, making it easy to stay productive and make the most of your company’s information.
This cloud-based product is also excellent for companies that have data professionals working across multiple locations. People can seamlessly share visualizations, keeping output levels high regardless of geographical distance. Model scoring and comparison tools also help users choose which models to use as new information becomes available.
Qlik Sense
Qlik Sense is a platform for modern, self-service analytics, driving discovery and data literacy for all types of users across an organization. It supports the full range of analytics use cases – from self-service visualization and exploration to guided analytics apps and dashboards, custom and embedded analytics, mobile analytics, and reporting. And, it does this within a governed, multi-cloud architecture that delivers maximum trust, scale, and flexibility for the organization. Qlik Sense provides an enterprise analytics platform that empower everyone. It features unmatched associative exploration and search; smart visualizations; self-service creation and data preparation; geographic and advanced analytics; collaboration; storytelling and reporting; fully interactive online and offline mobility; and a new Insight Advisor that generates the most relevant charts and insights using AI. And for the enterprise, Qlik Sense includes open and standard APIs for customization and extension, powerful data integration, broad data connectivity and data as-a-service, centralized management and governance, and a new multi-cloud architecture for scalability across on-premises, private, and public cloud environments. The unique Qlik Associative Engine empowers users of all skill levels to combine data and explore information without the limitations of query-based tools. Qlik Sense brings together our associative engine with a new cognitive engine that adds AI insight suggestions and automation to the experience, in context with user behavior. Available for both on-premises and multi-cloud deployment. Qlik offer’s Qlik Sense Cloud, our SaaS-based offering for groups and teams to build and share analytics online.
RapidMiner
RapidMiner is reinventing enterprise AI so that anyone has the power to positively shape the future. We’re doing this by enabling ‘data loving’ people of all skill levels, across the enterprise, to rapidly create and operate AI solutions to drive immediate business impact. We offer an end-to-end platform that unifies data prep, machine learning, and model operations with a user experience that provides depth for data scientists and simplifies complex tasks for everyone else. Our Center of Excellence methodology and the RapidMiner Academy ensures customers are successful, no matter their experience or resource levels. RapidMiner been designated as leaders in the
Databricks
Platform: Databricks Unified Analytics Platform
Description: Databricks offers a cloud and Apache Spark-based unified analytics platform that combines data engineering and data science functionality. The product leverages an array of open-source languages and includes proprietary features for operationalization, performance, and real-time enablement on Amazon Web Services. A Data Science Workspace enables users to explore data and build models collaboratively. It also provides one-click access to preconfigured ML environments for augmented machine learning with popular frameworks.
Conclusion
A strong tool is crucial for companies to succeed, but offloading data collection and analysis can also significantly reduce costs and increase reliability. Your company may want to consider predictive analytics software. However, with so many options, knowing which solution is right for you can be a challenge.