BYOB - Akaike users appreciate its Dynamically interacts with data, Multi-modality data handling, Structured and unstructured data processing, Handles documents and voice data, Links to multiple data sources, Inbuilt data organising mechanism, Self-training capability, Context understanding, Delivers real-time analytics, Actionable insights generation, Chat interface for data-related questions, Increases analyst bandwidth, Seamless workflow integration, Features data cataloguing, Provides instant insights, Analyzes every aspect of data, Useful across departments, Promotes data connectivity, Problem-solving via QnA, Proactive decision-making assistance, Efficient action-execution, Brings data to life, Allows cross-functionality data search, Integrates with existing tools, Supports various roles in an organization, Automatic data sorting, Building a knowledge repository, Uses key metrics for insights, No waiting time for insights, Increases quality of insights, Enables broader access to insights, Analysts can dig deeper, Facilitates data-driven decision making, Multi-modal data upload support, Conversational analytics, Automated metric alerts
and Customizable for business, though some note a
Relies heavily on user input, Potential for inaccurate cataloguing, Limited query allowance in Pro, Training requires multiple data sources, Excessive data types may complicate usage, Ensuring data quality is user-dependent, Potentially steep learning curve, No option for on-premise hosting
and May overlook nuanced human insights.
