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ThoughtSpot for Financial Services from ThoughtSpot
An AI-powered analytics platform with natural language search capabilities that allows banking professionals to analyze financial performance data with simple search queries. Features include automated insights, embedded analytics, and self-service visualization tools.
Product analysis by function
Financial Performance Analytics for Analytics and Business Intelligence
Solutions for analyzing and reporting on the bank's financial performance across various dimensions.
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Data Integration
(7 Yes /7 Known /10 Possible features)
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Multi-source Data Connectivity Ability to connect to various data sources (e.g., core banking, CRM, ERP, external market data). |
ThoughtSpot's documentation emphasizes multi-source data connectivity, including native connectors to popular databases, SaaS applications, and cloud data warehouses. | |
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Real-time Data Ingestion Capability to ingest data as it is generated or updated, supporting up-to-the-minute analytics. |
Product offers real-time data queries and analytics, supporting up-to-the-minute insights according to product literature. | |
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Batch Data Processing Support Supports scheduled or on-demand data batch processing up to set intervals. |
Batch processing is supported through scheduled data syncs and ETL integrations as described in their support resources. | |
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Data Cleansing Tools Automated features for detecting, correcting, and standardizing raw banking data. |
No information available | |
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ETL (Extract, Transform, Load) Customization Allows custom ETL workflows to match bank’s business rules and requirements. |
Described support for custom ETL workflows via integrations and third-party data pipeline tooling. | |
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API Integrations Availability of APIs for direct data connections with third-party applications. |
ThoughtSpot APIs are well-documented, enabling robust integration with third-party applications. | |
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Data Mapping Flexibility Ability to map and reconcile fields from different systems to unified analytics data models. |
Supports flexible data modeling and mapping between different sources for unified analytics. | |
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Change Data Capture (CDC) Supports tracking and applying only changed data for efficiency. |
No information available | |
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Support for Unstructured Data Ability to process and analyze unstructured data (e.g., documents, emails). |
Supports processing and searching of unstructured data through integration with document stores and cloud data lakes. | |
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Historical Data Loading Speed The speed at which the system can load historical data for analysis. |
No information available |
Financial Analytics & Metrics
(9 Yes /9 Known /10 Possible features)
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Profit and Loss Reporting Produces automated and customizable P&L statements. |
Custom P&L reporting can be created and automated in the platform, per case studies in financial services. | |
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Balance Sheet Analysis Facilitates detailed review of assets, liabilities, and equity over time. |
Balance sheet analytics and tracking are part of out-of-the-box financial analytics for banking use cases. | |
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Net Interest Margin Analysis Calculates and monitors net interest margins for lending operations. |
Net interest margin metrics are configurable for custom KPIs, as shown in ThoughtSpot solution briefs. | |
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Loan Performance Tracking Analyses metrics such as loan origination, repayment, delinquencies, NPL ratios. |
Loan performance dashboards and analytics are demonstrated in banking analytics templates. | |
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Revenue Attribution Traces sources of revenue to business units, products, or geographies. |
Enables attribution of revenue via customizable dashboards to business units/products/regions. | |
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Expense Analysis by Category Breaks down and visualizes cost structures and operational expenses. |
Expense analysis and operational breakdowns are supported as dashboard features. | |
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Liquidity Analytics Monitors liquidity coverage, available funds, and cash flow projections. |
Cash flow, liquidity coverage, and similar metrics are supported by banking KPI templates. | |
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KPI Definition & Tracking Customizable calculation and monitoring of key performance indicators. |
Users can define and monitor custom KPIs using ThoughtSpot’s search-based analytics model. | |
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Scenario & What-if Analysis Allows users to model financial performance under hypothetical scenarios. |
Scenario analysis and what-if modeling are supported with built-in tools for financial planning. | |
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Forecast Accuracy Measures the accuracy of built-in financial and risk forecasts. |
No information available |
Advanced Analytics and AI
(8 Yes /8 Known /8 Possible features)
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Predictive Analytics Uses statistical modeling to forecast future financial trends or risks. |
Predictive analytics with AI-powered search and forecasting is a core proposition of ThoughtSpot. | |
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Anomaly Detection Detects aberrant financial behavior that may require investigation (e.g., fraud, misstatements). |
Supports anomaly detection and automated surfacing of unusual insights via SpotIQ AI engine. | |
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Customer Segmentation Identifies customer cohorts based on behaviors, demographics, or profitability. |
Customer segmentation supported through AI search and filter tools, as noted in solution descriptions. | |
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Churn Prediction Predicts likelihood of customer attrition using historical data. |
Churn prediction is cited as a use case for AI-driven analytics in ThoughtSpot’s banking marketing collateral. | |
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Automated Insights Generation System generates plain-language summaries of key financial analytics findings. |
The platform's SpotIQ AI engine surfaces automated, plain-language financial insights. | |
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Model Explainability Provides transparency into machine learning model outputs. |
Model explainability features are present, with transparency into the logic and drivers for AI-generated insights. | |
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Self-service ML Model Building Empowers analysts to build, train, and deploy machine learning models without coding. |
Self-service ML and analytics model building is stressed in ThoughtSpot’s natural language/low-code solution offering. | |
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Time Series Forecasting Supports statistical or ML-based forecasting of financial time series. |
Time series forecasting for financial and operational metrics is supported by built-in analytics. |
Dashboards and Visualization
(9 Yes /9 Known /9 Possible features)
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Customizable Dashboards Users can tailor visualizations and dashboards to their specific needs. |
Extensive dashboard customization is a hallmark feature of ThoughtSpot. | |
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Drag-and-drop Visualization Builder Allows creation of visualizations without coding. |
The platform provides a drag-and-drop visualization builder, per ThoughtSpot product pages. | |
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Pre-built Templates for Banking KPIs Includes banking-specific dashboard layouts and widgets. |
Pre-built dashboard templates for banking KPIs are included for financial services customers. | |
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Mobile-optimized Dashboards Ensures dashboards are accessible and usable on smartphones and tablets. |
Dashboards are optimized for use on mobile devices, as detailed on the product website. | |
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Data Drill-down/Drill-through Ability to interactively explore underlying details of charts and tables. |
Users can drill down into underlying data through the interactive analytics UI. | |
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Scheduled Reporting Enables automatic distribution of reports/dashboards at set intervals. |
Reports and dashboards can be scheduled for automatic distribution. | |
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Real-time Visual Updates Dashboards refresh automatically as underlying data changes. |
Visualizations automatically update in real time as data changes in connected sources. | |
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Export to PDF/Excel/CSV Formats Ability to export dashboards and reports for offline analysis. |
Export to PDF, Excel, and CSV formats is supported. | |
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Embedded Analytics Allows analytics modules to be embedded into third-party applications (e.g., intranets). |
Embedded analytics is a major product capability, per product website and case studies. |
Audit, Compliance & Regulatory
(4 Yes /4 Known /7 Possible features)
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Regulatory Reporting Templates Provides built-in templates for common banking regulatory submissions (e.g., Basel, IFRS). |
No information available | |
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Audit Trail Support Tracks all data transformations, accesses, and changes for audit purposes. |
No information available | |
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Role-based Access Controls Enables granular permission management according to user roles and compliance needs. |
Role-based access controls are part of the platform’s enterprise security offering. | |
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Data Retention Policy Enforcement Automatically enforces bank-mandated data retention and deletion rules. |
No information available | |
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Secure Data Masking Sensitive data can be masked for privacy and access control. |
Sensitive data can be masked to restrict visibility depending on user roles, per security docs. | |
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Change Logging Logs all alterations to reports, analytics, and underlying data. |
Platform maintains audit logs for changes in analytics and reporting. | |
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GDPR and Data Privacy Support Features to ensure compliance with data privacy regulations. |
ThoughtSpot includes GDPR and general data privacy features for compliance. |
User Management & Collaboration
(6 Yes /6 Known /7 Possible features)
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Multi-user Access Allows multiple users to simultaneously access and work on analytics. |
Multi-user access is supported and emphasized for collaborative analytics. | |
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Permission Granularity Degree to which access can be controlled at the dashboard, report, or data level. |
No information available | |
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Shared Workspace Collaborative environments for analytics project teams. |
Shared workspaces for collaboration are present in team-based analytics workflows. | |
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In-application Comments and Discussion Ability to annotate reports or dashboards for collaborative review. |
Users can comment and discuss within the analytics interface on shared dashboards. | |
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Task Assignments and Notifications Feature for assigning analytical review or approvals to specific users. |
Task assignment and notification workflows are available for review/approval cycles. | |
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User Management APIs APIs to integrate or synchronize user access with other bank systems (e.g., Active Directory). |
User management APIs, including SAML/Active Directory integration, are provided. | |
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Single Sign-On (SSO) Support Integrates with corporate authentication systems for streamlined access. |
Single sign-on (SSO) is supported for integration with enterprise identity providers. |
Performance and Scalability
(2 Yes /3 Known /7 Possible features)
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Concurrent User Support Maximum number of users supported simultaneously without performance degradation. |
No information available | |
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Data Processing Throughput Amount of data the system can process in a given time. |
No information available | |
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Query Response Time Average time for analytics queries to return results. |
No information available | |
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Uptime/Availability Percentage of time the system operates and is accessible. |
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Noted 99.9% uptime SLA for cloud deployments in customer documentation. | |
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Elastic Scalability Can scale compute and storage up/down dynamically based on load. |
Platform is cloud-native and described as elastically scalable in product documentation. | |
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Distributed Processing Supports parallel, distributed computation for large data workloads. |
Supports distributed, parallel analytics through architecture based on cloud scale-out. | |
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Data Storage Capacity Maximum amount of analytical data the system can store. |
No information available |
Security
(4 Yes /4 Known /5 Possible features)
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End-to-end Encryption Uses encryption while data is stored and in transit. |
Data is encrypted end-to-end, per security documentation. | |
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Multi-factor Authentication (MFA) Supports two-step verification and other MFA protocols. |
Multi-factor authentication is supported in enterprise deployments. | |
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Activity Monitoring & Alerts Logs user activities and sends alerts on potentially suspicious actions. |
ThoughtSpot logs user activities and provides configurable alerts for suspicious actions. | |
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Penetration Testing Certifications Product regularly undergoes penetration testing, with results available. |
No information available | |
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Compliance Certifications Holds certifications such as SOC 2, PCI DSS relevant to banking operations. |
The product is SOC 2 Type 2 certified, as noted in security & compliance documentation. |
Deployment & Integration
(6 Yes /6 Known /6 Possible features)
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Deployment Options (Cloud/On-Premises/Hybrid) Can be deployed as per organizational policy or regulatory requirements. |
Supports cloud, on-prem, and hybrid deployment models for regulatory flexibility. | |
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Integration with Existing BI Tools Supports interoperability with established business intelligence platforms. |
Offers connectors or integration options for interoperability with existing BI tools. | |
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Custom Connectors Supplies or supports development of connectors to legacy or niche banking systems. |
Supports development of custom connectors for legacy or specialized systems. | |
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Open API Support Provides APIs for programmatic access to functions and analytics. |
Provides Open API access for programmatic use and integration. | |
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Containerization Support Compatible with Docker/Kubernetes-style deployments for portability. |
Containerization support for Docker/Kubernetes is documented for cloud/on-prem portability. | |
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Automated Upgrade Mechanisms Allows seamless updates with minimal user disruption. |
Seamless upgrade options are available with cloud or managed service deployments. |
Support, Training & Documentation
(6 Yes /6 Known /6 Possible features)
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24/7 Customer Support Availability Around-the-clock technical assistance for banks. |
24/7 support available for enterprise customers, as listed in service plans. | |
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Dedicated Account Manager Appoints a dedicated representative for large or strategic clients. |
Dedicated account managers are provided to strategic customers per support documentation. | |
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Comprehensive User Documentation Rich, regularly updated manuals and knowledge bases. |
ThoughtSpot offers comprehensive, regularly updated documentation and help resources. | |
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Online Training Modules On-demand video or interactive training for bank staff. |
On-demand online training modules are part of the customer enablement offering. | |
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User Community Forum Active user community/support forum for product knowledge sharing. |
User community forums are available for knowledge sharing and peer support. | |
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Custom Training Workshops Tailored, live training sessions delivered by vendor experts. |
Custom, expert-led training workshops are available on request for enterprise clients. |
Advanced Analytics and AI for Analytics and Business Intelligence
Cutting-edge analytical solutions leveraging machine learning, artificial intelligence, and predictive modeling.
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Data Integration and Connectivity
(7 Yes /7 Known /10 Possible features)
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Multi-source Data Integration Ability to connect to and aggregate data from multiple sources (core banking, ERP, CRM, cloud, third-party APIs). |
ThoughtSpot connects to multiple data sources such as core banking, cloud data warehouses, and third-party APIs as indicated on its website and product documentation. | |
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Real-time Data Sync Capability to synchronize data in real time, enabling access to up-to-date information. |
Marketing materials and technical documentation highlight ThoughtSpot's real-time data sync capabilities for up-to-date analytics. | |
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Batch Data Processing Support for scheduled data imports/exports to handle large volumes. |
ThoughtSpot supports scheduled batch data ingestions from data warehouses and cloud sources. | |
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Data Lake Compatibility Ability to ingest and work with data stored in data lakes. |
Documentation and support forums reference support for cloud data lakes (e.g., S3, Snowflake). | |
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ETL (Extract, Transform, Load) Tools Built-in tools for extracting, transforming, and loading data. |
No information available | |
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API Connectivity Availability of robust APIs for integration with external applications and services. |
Robust API and integration framework available for third-party application connectivity per developer guides. | |
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Data Format Support Support for multiple data file formats (CSV, JSON, XML, Parquet, etc.). |
Supports a variety of data file formats such as CSV, JSON, and Excel as described in the integration FAQ. | |
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Data Quality Controls Tools for data cleansing, validation, and deduplication. |
Data quality and cleansing tools are part of the platform's ingestion and transformation pipeline. | |
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Scalability Maximum volume of data supported in gigabytes or terabytes. |
No information available | |
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Data Refresh Frequency Minimum time interval for refreshing integrated data. |
No information available |
AI/ML Modeling and Automation
(2 Yes /3 Known /11 Possible features)
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Automated Machine Learning (AutoML) Tools for automatically building, training, and tuning machine learning models. |
No information available | |
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Model Deployment Support for deploying ML models into production environments for real-time or batch inference. |
No information available | |
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Prebuilt AI Models Availability of prebuilt models for common banking use-cases (fraud detection, credit scoring, churn prediction). |
Not as far as we are aware.* ThoughtSpot does not generally provide prebuilt banking ML models, but supports ML and AI-driven analytics and can integrate with external solutions. | |
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Custom Model Development Ability to create and train custom AI/ML models using the platform. |
No information available | |
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Natural Language Processing (NLP) Support for processing and analyzing textual data using AI. |
Offers NLP/AI-powered search for textual and unstructured data queries. | |
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Image and Document Classification AI-enabled tools for extracting information from images and documents. |
No information available | |
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Model Training Speed Time taken to train a model on a standard dataset. |
No information available | |
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Model Accuracy Metrics Measurement of model's performance (AUC, F1, accuracy) on test data. |
No information available | |
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Model Monitoring Continuous monitoring of deployed model performance and drift. |
No information available | |
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Automated Model Retraining Built-in support for retraining models as new data arrives. |
No information available | |
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Explainable AI (XAI) Tools to interpret and explain AI-driven decisions to users. |
Platform touts explainability and user-friendly explanations for analytic results via guided AI insights. |
Visualization and Dashboarding
(9 Yes /9 Known /10 Possible features)
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Customizable Dashboards Ability for users to build and customize their own dashboards. |
Self-service, drag-and-drop customization, and dashboard personalization are core ThoughtSpot features. | |
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Real-time Visualization Updates Dashboards automatically update as data changes. |
ThoughtSpot dashboards update in real-time as data changes, per product demos. | |
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Multiple Chart Types Supports a variety of visualizations (bar, line, area, pie, heatmaps, etc.). |
Supports wide range of visualization types including tables, graphs, trends, heatmaps, etc., validated via UI screenshots and documentation. | |
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Drill-down Analytics Ability to drill down from summary overviews to granular data points. |
Users can drill down from high-level KPIs to record level via search-based exploration. | |
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Automated Report Generation Generates scheduled or on-demand reports from dashboards. |
Automated and scheduled report generation is supported; see knowledge base articles. | |
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Sharing and Collaboration Tools to enable sharing dashboards with internal/external users and annotation/commenting. |
Collaboration tools for sharing dashboards and reports, with annotation, are well documented. | |
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Mobile Friendly Visualization Dashboards and reports accessible and optimized for mobile devices. |
Mobile-optimized dashboard viewing and analytics confirmed by official mobile app listings. | |
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Visualization Latency Average time taken to render a dashboard after data change. |
No information available | |
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Export Options Ability to export charts and dashboards in various formats (PDF, Excel, Image). |
Export to Excel, PDF, and image options are supported as per product documentation. | |
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Data Storytelling Ability to create data stories with narrative text, visualizations, and interactivity. |
Storytelling supported through liveboards and interactive narratives. |
Predictive and Prescriptive Analytics
(2 Yes /2 Known /10 Possible features)
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Predictive Modeling Support for statistical and machine learning models forecasting future outcomes. |
Predictive modeling features are available when integrated with external AI/ML platforms; native capabilities focus on search-driven analysis. | |
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What-if Analysis Enables users to test hypothetical scenarios and estimate their impact. |
No information available | |
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Optimization/Recommender Engine Prescriptive analytics functionality offering optimal recommendations (e.g., product offers, asset allocation). |
No information available | |
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Scenario Planning Allows modeling of different scenarios to support business continuity and strategic planning. |
No information available | |
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Anomaly Detection Automatically detects unusual patterns or outliers, often with AI assistance. |
No information available | |
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Forecasting Accuracy Average percentage accuracy of predictive forecasting models. |
No information available | |
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Time-to-prediction Average time from data input to availability of model prediction. |
No information available | |
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Automated Alerting Sends alerts or notifications based on predictive or prescriptive analytics outcomes. |
Automated alerts and notifications can be configured for KPI changes and insights. | |
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Simulation Tools Built-in modules for simulating different business or market conditions. |
No information available | |
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Integration with Decision Support Systems Can connect and feed outputs directly into operational decision tools or workflows. |
No information available |
Security and Compliance
(7 Yes /7 Known /10 Possible features)
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Role-based Access Control (RBAC) Ability to assign permissions based on user roles. |
Role-based access control, down to row-level security, is a cited capability. | |
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Data Encryption Encryption of data at rest and in transit per industry standards. |
Data encryption at rest and in transit via cloud security best practices is documented. | |
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Audit Trails Comprehensive logs tracking user and system activity for compliance and troubleshooting. |
Audit logging for compliance and investigation is a published feature for regulated industries. | |
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Single Sign-On (SSO) Supports authentication via SSO protocols (SAML, OAuth, etc.). |
Single Sign-On support for SAML and OAuth is referenced in security and integration guides. | |
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GDPR/CCPA Compliance Built-in features to meet data privacy laws (GDPR, CCPA, etc.). |
GDPR/CCPA compliance and data privacy features are confirmed in legal and technical documentation. | |
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Data Masking Ability to obscure sensitive data from unauthorized users. |
No information available | |
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User Activity Monitoring Monitor and alert on suspicious or unauthorized user activity. |
No information available | |
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Data Retention Policies Configurable data retention and deletion schedules. |
Customizable data retention and purge schedules are available to meet compliance goals. | |
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Multi-factor Authentication (MFA) Extra layer of login security using additional verification methods. |
Multi-factor authentication is supported for enterprise deployments. | |
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Penetration Testing Frequency How often security penetration tests are conducted. |
No information available |
User Experience and Usability
(6 Yes /6 Known /10 Possible features)
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Self-service Analytics Business users can independently create and modify analyses and reports. |
ThoughtSpot offers robust self-service analytics capabilities, as advertised. | |
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Intuitive Interface User-friendly and consistent UI/UX design for all user levels. |
UI/UX is designed for business users; cited as a strength in product reviews. | |
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Guided Analytics Guided experiences, tutorials, and tooltips to help users navigate analytics workflows. |
In-product tutorials and guided analysis flows are part of the onboarding experience. | |
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Accessibility Compliance Complies with accessibility standards (e.g., WCAG, ADA) for users with disabilities. |
No information available | |
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Search and Recommendation Engine Search for data, reports, and recommendations using natural language. |
Natural language search boosted by recommendation engine aligns to this requirement. | |
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Customization Level Degree of customization allowed for dashboards, reports, and visual elements. |
No information available | |
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Average User Onboarding Time Time required for a new user to learn and start using the platform productively. |
No information available | |
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Multi-language Support UI and documentation available in multiple languages. |
No information available | |
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Mobile App Availability Native mobile application for iOS and Android. |
Official mobile application for iOS and Android available in app stores. | |
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Personalized Dashboards Each user can personalize their dashboard to match preferences. |
Dashboards and search preferences can be personalized per user. |
Collaboration and Workflow
(5 Yes /5 Known /10 Possible features)
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Integrated Collaboration Tools In-platform chat, comments, and annotation features. |
In-platform comments, shared boards, and lightweight chat provided in-app. | |
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Version Control for Reports Track and revert to previous versions of reports and dashboards. |
No information available | |
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Workflow Automation Automate business processes, task assignments, and approvals within analytics. |
No information available | |
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Notification Center Centralized alerts and update notifications for analytics events. |
Centralized notifications for updates and alerts described in product features. | |
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Scheduled Report Distribution Automatically distribute scheduled reports to users or groups. |
Automated scheduling and email distribution for reports is an available feature. | |
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Third-party Collaboration Integrations Integration with external collaboration platforms (Slack, Teams, email, etc.). |
Integrates with Microsoft Teams, Slack, and common email tools per vendor documentation. | |
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Approval Workflows Route insights, reports, or analytics outputs for approval before dissemination. |
No information available | |
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Task Assignment Capabilities Assign data tasks or follow-ups directly from within the product. |
No information available | |
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External Stakeholder Sharing Can securely share analytics with users outside the organization. |
External sharing is supported with secure, access-controlled links. | |
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User Activity Tracking Track collaboration actions for audit and improvement purposes. |
No information available |
Deployment and Scalability
(5 Yes /5 Known /10 Possible features)
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Cloud Deployment Option Platform can be deployed and managed in the public or private cloud. |
ThoughtSpot Cloud is a SaaS platform deployable on public cloud environments. | |
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On-premises Deployment Option Platform supports deployment on internal servers. |
No information available | |
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Hybrid Deployment Option Supports geographically distributed or hybrid cloud/on-premises setups. |
No information available | |
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Elastic Scalability Ability to automatically scale infrastructure and capacity up or down. |
Elastic scalability and auto-scaling are advertised benefits for cloud deployments. | |
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Load Handling Capacity Maximum concurrent users supported without performance degradation. |
No information available | |
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Multi-tenant Architecture Ability to securely support multiple organizations on the same platform. |
ThoughtSpot supports multi-tenant SaaS architecture for enterprise customers. | |
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Data Residency Control Admins can specify geographic or jurisdictional location for stored data. |
Data residency options are documented, allowing choice of region for hosting data in the cloud. | |
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Uptime / Availability SLA Percentage uptime or availability commitment in service level agreements. |
No information available | |
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Automated Disaster Recovery Built-in tools for backup, failover, and recovery. |
Automated failover, backup, and recovery features are outlined in architectural whitepapers. | |
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Deployment Time Average time needed to deploy the platform in a production environment. |
No information available |
Extensibility and Customization
(4 Yes /4 Known /10 Possible features)
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Custom Plugin/Extension Framework Allows users or partners to develop and deploy custom extensions or connectors. |
No information available | |
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Open API Access Comprehensive, documented APIs for system integration and workflow automation. |
Open APIs and comprehensive documentation are available for workflow and system integration. | |
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Scripting/Programming Support Support for scripting or coding custom analytics (e.g., Python, R, SQL). |
No information available | |
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Custom Branding Ability to rebrand the analytics solution with the bank’s look and feel. |
Custom branding and theming referenced in customization settings. | |
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Custom Workflow Support Enable creation of tailored workflows for bank-specific processes. |
No information available | |
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Marketplace Ecosystem Access to a marketplace of prebuilt connectors, modules, and add-ons. |
Marketplace for connectors and add-ons available from official ThoughtSpot and partners. | |
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Embedded Analytics Analytics modules can be embedded into other bank applications or portals. |
Embedding analytics into customer-facing portals or apps is a flagship offering. | |
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Customization Documentation Quality Quality and comprehensiveness of developer guides for customization. |
No information available | |
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Custom Report Templates Ability to create and manage custom template reports. |
No information available | |
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Support for AI Model Import/Export Supports importing and exporting external AI/ML models. |
No information available |
Operational Performance and Monitoring
(5 Yes /5 Known /10 Possible features)
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System Performance Dashboards Centralized dashboards showing system health, availability, response times, etc. |
System health and uptime dashboards provided to admins and IT teams. | |
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Resource Utilization Metrics Track CPU, memory, and storage consumption of the analytics platform. |
No information available | |
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Latency Monitoring Measure and report on query, model, and visualization latency. |
No information available | |
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Error and Exception Logging Detailed logs and tools for tracking, diagnosing, and fixing platform errors. |
Error and exception tracking available for administrative users. | |
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Automated Scaling Automatically adjust resources based on usage metrics. |
Automated scaling of backend resources to meet usage needs is a key capability. | |
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Usage Analytics Insights and metrics on how users engage with features and content. |
Usage analytics and user engagement metrics are part of the admin feature set. | |
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Uptime Monitoring Automated tracking of system uptime. |
Automated reporting and notifications for uptime monitoring is available. | |
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Alerting on Thresholds Send alerts based on resource usage or operational thresholds. |
No information available | |
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Mean Time to Resolve (MTTR) Average time spent to resolve technical/platform incidents. |
No information available | |
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Maintenance Window Scheduling Ability to schedule and communicate planned maintenance events. |
No information available |
Support and Vendor Services
(6 Yes /7 Known /10 Possible features)
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24/7 Support Availability Support is available at all times, worldwide. |
24/7 live support and help desk are provided for enterprise plans. | |
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Dedicated Account Manager A specific person is assigned to manage relationship and support. |
Not as far as we are aware.* Generally, ThoughtSpot provides a support team but does not always assign named account managers by default. | |
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Onboarding and Training Programs Comprehensive training materials and onboarding for new users. |
Comprehensive onboarding and training resources for new users, including videos and documentation. | |
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User Community and Forums Access to online community and self-service peer support. |
Active user community and peer forums available at ThoughtSpot community portal. | |
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Professional Services Availability of expert services for implementation, customization, and data migration. |
Professional services for customization and deployment available through ThoughtSpot and its partners. | |
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Knowledge Base Quality The comprehensiveness and up-to-dateness of platform documentation. |
No information available | |
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SLA Response Time Guaranteed initial response time for support requests. |
No information available | |
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Multi-channel Support Support available via phone, chat, email, and ticketing system. |
Support available through web, email, and chat as detailed on the support portal. | |
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Customer Success Resources Dedicated resources to ensure successful product adoption and value. |
No information available | |
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Feedback and Feature Request Mechanism Users can easily submit feedback and request new features. |
Users can submit product feedback and feature requests via community and customer portal. |
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