Best Web-Based Data Analysis Software of 2025 - Page 14

Cemento, a graduate of Techstars ‘18, offers top-notch software solutions tailored for multi-unit construction endeavors. By leveraging advanced military technology, Cemento empowers developers and contractors to enhance the quality and efficiency of their building projects. The MPA, or Micro Project Aggregator, allows teams to dissect larger projects into manageable micro-projects, facilitating the creation of specific checklists for each trade and unit, while ensuring adherence to local regulations and the company's best practices. Communication is streamlined with fast and easy registration, adding significant value for field workers through project and user-specific personalization. Additionally, Cemento’s robust data analytics capabilities enable the collection of hundreds of thousands of data points for each project, which helps identify failure trends and predict potential delays and subcontractor performance, ultimately driving better decision-making and project outcomes. With these features, Cemento not only increases operational efficiency but also fosters a collaborative environment among all stakeholders involved in the construction process.

Avian serves as a robust data automation platform, allowing you to seamlessly integrate your marketing data into Google Sheets, Looker Studio, or a Data Warehouse without delay. Streamline your data management process today for enhanced efficiency and insights.

Over the last two decades, numerous organizations have crafted SAS language programs that are essential for their functionality. Altair SLC operates these programs directly in SAS language syntax, eliminating the need for translation or reliance on third-party licensing. This efficiency significantly cuts down both capital expenditures and operational costs due to its impressive capacity for managing extensive workloads. Additionally, Altair SLC features an integrated SAS language compiler that executes SAS language and SQL scripts, while also incorporating Python and R compilers to facilitate the running of Python and R code, enabling the seamless exchange of SAS datasets with Pandas and R data frames. The software is versatile, functioning on IBM mainframes, cloud platforms, and a variety of servers and workstations across different operating systems. Moreover, it offers remote job submission capabilities and supports data exchange between mainframe, cloud, and on-premises systems, enhancing its utility across various environments.

We make data for the world's most valuable companies. Innodata solves your most difficult data engineering problems using artificial intelligence and human expertise. Innodata offers the services and solutions that you need to harness digital information at scale and drive digital disruption within your industry. We secure and efficiently collect and label sensitive data. This provides ground truth that is close to 100% for AI and ML models. Our API is simple to use and ingests unstructured data, such as contracts and medical records, and generates structured XML that conforms to schemas for downstream applications and analytics. We make sure that mission-critical databases are always accurate and up-to-date.

Your enterprise relies on immediate data from its backend infrastructures to provide actionable insights and foster growth. The CData Power BI Connectors serve as an essential component in optimizing your data value chain. These connectors present the quickest and simplest approach to linking Power BI with over 250 enterprise data sources, allowing you to harness the full potential of Power BI for comprehensive data analysis. With ease, you can connect Microsoft Power BI to live data from accounting, CRM, ERP, marketing automation, as well as both on-premise and cloud-based systems for real-time visual analytics and reporting. Numerous popular data sources are supported by Power BI connectors, such as: - Microsoft Dynamics CRM - MongoDB - NetSuite - QuickBooks - Sage Intacct - Salesforce - SAP - SharePoint - Snowflake - And over 200 additional sources! Furthermore, the CData Connectors enhance query speed and performance with advanced features like DirectQuery and QueryPushdown, ensuring that your data analysis is both efficient and effective. These capabilities empower businesses to make more informed decisions based on the latest available information.

Process Analytics Factory (PAF) has made it our mission revolutionize and democratize Process Mining. Our passion for innovation and our Process Mining Software PAFnow are the direct results of our intense research. We want our customers to be process experts and users of Process Mining. We are focused on making data-intensive work easier, more humane, and more up-to-date.