The promises of AI in the recent years have redefined the way we perceive, envision, and plan business intelligence (BI). Established names in the BI market have been forced to up their game with more enhanced tools and applications. However, along with scalable data analytics, generative AI capabilities, and hyper personalized results, BI tools are also aligning more to mobility benefits. Recognizing the need for anytime and anywhere intelligence, these apps are now offering more mobile savvy versions for more accessible operations.
As we conclude the year 2024, here are some of the most reliable mobile apps and platforms for business intelligence that are empowering decision makers with the right and accurate data for leading their operations to success.
Domo
Domo has been honored for contributing to the business intelligence market multiple times this year. The company’s mobile app offers actionable insights in real-time. It helps businesses collect data from every possible channel and offers mobile alerts for important notifications. The app is also known for its role-based access features.
Key Features
- Self-service analytics for real-time data analysis and manipulation
- Customizable instant alerts and notifications for any changes in the KPIs
- Interactive dashboards for visualizing and filtering reports
IBM Cognos Analytics
The AI-driven business intelligence tool helps with faster decision-making, business forecasting, and centralized intelligence. The mobile version of the app is compatible across operating systems, empowering business leaders with real-time answers to their questions.
Key features:
- Data visualization for real-time analysis, planning, and decision-making
- The application has customized features for business executives, management, and remote professionals
- The tool also supports BYOD for secure yet flexible integration of devices in the work environment
Microsoft Power BI
Microsoft offers an AI-driven BI tool that can bring Azure Cloud’s benefits to data analytics and business intelligence. The tool helps businesses leverage sentiment analysis, anomaly detection, predictive modeling, and more to draw functional insights for various fronts. The mobile app's ease of access and collaboration makes it very handy for business leaders to conduct swift analyses and make quick decisions.
Key Features:
- The AI tool powered by Azure’s infrastructure allows for reliable forecasts and nuanced insights
- The interactive features of the app leverage natural language query for ease of use
- The app’s data alerts can be customized per business requirements and are triggered in real time
Microstrategy
Although the company was recently in the news more for its bitcoin holdings, Microstrategy has been a popular name in business intelligence for a while now. The mobile application has features for personalized features for business analytics, data security, and data-driven decision-making.
Key Features
- App offers guidance to users through data-oriented workflows to help them make business decisions faster
- No-code feature allows non-developers to customize BI interfaces
- The interactive interface also supports smart gestures for navigation and data analysis
Oracle Analytics Cloud
Oracle offers data intelligence through its app to help businesses with deep insights and simplified analytics. The mobile app uses both structured and unstructured data coming in from various channels to help extract actionable information. The app also has many security features to protect business data without hampering necessary operations.
Key Features:
- With structured and unstructured data combined, the app can offer a 360-degree view of the business processes
- The app has pre-saved data pipelines for the users to choose or customize from for more streamlined intelligence workflows
- The support for data lakes makes business analytics more scalable and easily integrated with ERP, SCM, HCM, and more
Qlik
For business intelligence Qlik aims to translate the authenticity and value of a business into AI-driven insights. The mobile platform leverages AI-agents to deliver data-driven intelligence for reliable decision making.
Key Features:
- The mobile app offers offline functionality for uninterrupted operations
- The app leverages generative AI for human-centric outputs
- The AI tools can be use to customized workflow for specific business challenges
- With multi-agent systems and customized dashboard the app offers an all-encompassing view of business operations
SAS Business Intelligence
SAS has been actively integrating AI into its systems to make its offerings more value-driven for its customers. The mobile app is known for its intuitive interfacing features with centralized access to all the necessary reports. The focus for the application is to ensure that the business users can share and analyze business data on the go without delays.
Key Features:
- The reporting for the app is centrally managed to ensure secure and organized data analytics
- The apps intuitive interface makes navigation among the various reports easier for faster decision making
- Continuous updates helps users to have real time data in the report for reliable analysis
Tableau
Tableau has always been a trusted name in business analytics. As a part of its AI assertion Salesforce empowered Tabeleau with Einstein, an AI copilot. As a result, the tool is now more capable of offering reliable, data-aligned insights. The tool can also easily integrate with Tableau cloud to make business intelligence more scalable for the users.
Key Features
- The dashboards are well-optimized for mobile screens for easy interfacing and data operations
- The tool’s personalized alerts are AI-powered and help users stay in touch with all the important trends
- The app also makes collaboration much easier for different teams with offline access, deep linking, and advanced search
Amazon Quicksight
Amazon’s been marketing it as not just BI but generative BI. With built-in AWS-supported technologies, the app can help with faster data analytics, real-time insights, standardized reporting, and more. The app has helped business optimize their BI cost for AI-driven intelligence.
Key Features
- Leverages Amazon Bedrock for AWS-powered generative AI features for business predictive analytics
- The AWS-powered architectures make it easy for users to ingest, process, and visualize data through the app
- The app also offers automated pipelines and interactive dashboards for real-time intelligence
Conclusion
Business intelligence is growing more as a superpower for businesses to bring in every comment, every mail, every behavioral analysis, and more to make reliable business interpretations. With the emergence of AI and capabilities for mobile access, these interpretations have been empowered for more reliable predictions and business planning. The above tools can help businesses acquire these superpowers and envision long-term, competitive, and sustainable growth.
