Compare the Top Data Analysis Apps for iPhone as of April 2025

What are Data Analysis Apps for iPhone?

Data analysis software is software used to collect, process, and interpret large datasets to identify patterns, trends, and insights. It allows users to visualize data through interactive charts, graphs, and dashboards, making complex information more accessible. These tools often incorporate statistical, predictive, and machine learning features to support informed decision-making. Data analysis software is utilized across various industries, including finance, healthcare, marketing, and research, to enhance strategic planning and operational efficiency. By transforming raw data into actionable insights, it empowers organizations to make data-driven decisions. Compare and read user reviews of the best Data Analysis apps for iPhone currently available using the table below. This list is updated regularly.

  • 1
    Quaeris

    Quaeris

    Quaeris, Inc.

    Align analytics to your everyday business workflows. Your business relies on people, data and documents, but the process of using them is broken. QuaerisAI enables seamless downstream workflows across your People, Documents and Data Assets. Use natural language search on data, documents and collaborate in private or within Communities - all in one platform! QuaerisAI offers time savings of at-least 30 minutes to an hour/day/resource - imagine the productivity enhancements you give your users without the expense of buying and consolidating a bunch of AI tools. Quaeris can be rolled out to team of 10s or 1000s of users seamlessly within a matter of days - without much need of IT, and that is why IT & data teams love us!
    Starting Price: $100 per month
    Partner badge
    View App
    Visit Website
  • 2
    Smart Inventory Planning & Optimization
    Smart Software is a leading provider of demand planning, inventory optimization and supply chain analytics solutions headquartered in Belmont, Massachusetts, USA. Founded in 1981 Smart has helped thousands of customers plan for future demand utilizing industry-leading statistical analytics. Smart Inventory Planning & Optimization (IP&O) is the company’s next-generation suite of native web applications, helping inventory carrying organizations reduce inventory, improve service levels and streamline Sales, Inventory, and Operations Planning. Smart IP&O, hosted on Amazon Web Services, is a Digital Supply Chain Platform driving three applications: demand planning, inventory optimization, and dashboard reporting. Smart IP&O functions as a transparent extension of our customers’ ERP systems of choice, receiving daily transaction data and returning forecasts and inventory policy values to drive replenishment and production planning.
  • 3
    Oracle Analytics Cloud
    Oracle Analytics is a complete platform for every analytics user role. AI and ML are embedded throughout the platform to accelerate productivity and power better business decisions. Choose either Oracle Analytics Cloud, our cloud native service, or our on-premises solution, Oracle Analytics Server, both of which help you avoid compromising security and governance. Oracle Analytic addresses all needs of business users from data to decision. Oracle Analytics can help you solve your business problems with built in data preparation and enrichment, no-code machine learning and industry leading data visualization.
    Starting Price: $16 User Per Month - Oracle An
  • 4
    Toucan

    Toucan

    Toucan

    Toucan is a customer-facing analytics platform that empowers organizations to drive engagement with the best end-user experience. From data connections to the distribution of insights anywhere they're needed, Toucan makes it easy. As a result, Toucan analytics are used 3x more than the industry average. Users can connect to any data, cloud-based or other, streaming or stored, with hundreds of connectors. Preparation of data is equally simple with data readiness features that lets business people perform tasks that would ordinarily require an expert. Visualization takes the form of “data storytelling” where every chart is accompanied by context, collaboration, and annotation so that users understand the “why” and not just the “what” of their data. Finally, deployment and management are made easy with one-touch deployment from staging to production, easy embedding, and publishing to any device.
  • Previous
  • You're on page 1
  • Next