at Financial Technnology Year
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Looker for Financial Services from Looker (Google Cloud)
A data platform that provides financial institutions with powerful modeling capabilities and an analytics framework for exploring data, creating reports, and building dashboards. Features include centralized data governance, embedded analytics, and customizable financial metrics.
More about Looker (Google Cloud)
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.
More Financial Performance Analytics
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Data Integration
(8 Yes /8 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). |
Looker integrates with various data sources including databases, cloud data warehouses (BigQuery, Snowflake, Redshift), and third-party business applications. | |
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Real-time Data Ingestion Capability to ingest data as it is generated or updated, supporting up-to-the-minute analytics. |
Looker supports real-time data ingestion through live database connections, as detailed in documentation and product overviews. | |
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Batch Data Processing Support Supports scheduled or on-demand data batch processing up to set intervals. |
Looker supports both scheduled and on-demand batch processing as part of its data pipeline orchestration. | |
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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. |
Custom data transformations and modeling are core Looker features, providing flexible ETL via Looker modeling language. | |
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API Integrations Availability of APIs for direct data connections with third-party applications. |
Looker provides API integrations and SDKs to connect with third-party applications and custom workflows. | |
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Data Mapping Flexibility Ability to map and reconcile fields from different systems to unified analytics data models. |
Looker allows mapping and reconciling fields from varied systems via its modeling layer. | |
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Change Data Capture (CDC) Supports tracking and applying only changed data for efficiency. |
Change data capture is supported when integrated with warehouses that offer CDC (e.g., BigQuery, Snowflake). | |
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Support for Unstructured Data Ability to process and analyze unstructured data (e.g., documents, emails). |
Looker can process unstructured data if ingested and made queryable via the data warehouse. Visualization and analytics on such data are possible. | |
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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. |
Looker provides customizable P&L reporting for financial institutions through its modeling and reporting framework. | |
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Balance Sheet Analysis Facilitates detailed review of assets, liabilities, and equity over time. |
Balance sheet analysis and other traditional financial metrics reporting are supported through flexible LookML models. | |
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Net Interest Margin Analysis Calculates and monitors net interest margins for lending operations. |
Net Interest Margin analysis can be configured using tailored metrics and financial models. | |
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Loan Performance Tracking Analyses metrics such as loan origination, repayment, delinquencies, NPL ratios. |
Loan performance tracking is possible by building custom dashboards with user data models. | |
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Revenue Attribution Traces sources of revenue to business units, products, or geographies. |
Looker allows detailed revenue attribution analysis through data modeling. | |
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Expense Analysis by Category Breaks down and visualizes cost structures and operational expenses. |
Expense analysis by category is broadly supported by Looker's dynamic and customizable dashboards. | |
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Liquidity Analytics Monitors liquidity coverage, available funds, and cash flow projections. |
Liquidity analytics can be configured by modeling account and cash flow data. | |
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KPI Definition & Tracking Customizable calculation and monitoring of key performance indicators. |
Looker supports configurable KPI definition and tracking through LookML and dashboard features. | |
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Scenario & What-if Analysis Allows users to model financial performance under hypothetical scenarios. |
Scenario and what-if analysis can be built using parameterized filters and user input controls in dashboards. | |
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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 are supported via integrations with Google BigQuery ML or embedding external ML models. | |
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Anomaly Detection Detects aberrant financial behavior that may require investigation (e.g., fraud, misstatements). |
Anomaly detection is achievable through Looker's integration with external ML/modeling pipelines. | |
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Customer Segmentation Identifies customer cohorts based on behaviors, demographics, or profitability. |
Customer segmentation is supported through flexible data modeling and segmentation analysis features. | |
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Churn Prediction Predicts likelihood of customer attrition using historical data. |
Churn prediction can be implemented via integrated ML workflows or using external tools. | |
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Automated Insights Generation System generates plain-language summaries of key financial analytics findings. |
Automated insights generation is supported through Looker's data alerts, scheduling, and data bot integrations. | |
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Model Explainability Provides transparency into machine learning model outputs. |
Looker provides model explainability when integrated with services like BigQuery ML. | |
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Self-service ML Model Building Empowers analysts to build, train, and deploy machine learning models without coding. |
Self-service ML model building is supported primarily when connected with cloud ML services like BigQuery ML. | |
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Time Series Forecasting Supports statistical or ML-based forecasting of financial time series. |
Time series forecasting can be posed via native BigQuery ML or integration with time series libraries. |
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. |
Customizable dashboards are a core Looker offering, widely documented and showcased in demos. | |
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Drag-and-drop Visualization Builder Allows creation of visualizations without coding. |
Drag-and-drop visualization builder is available for users to create reports/dashboards without coding. | |
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Pre-built Templates for Banking KPIs Includes banking-specific dashboard layouts and widgets. |
Pre-built banking KPI dashboards and templates are available in Looker Marketplace. | |
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Mobile-optimized Dashboards Ensures dashboards are accessible and usable on smartphones and tablets. |
Looker dashboards are mobile-optimized and accessible from web browsers on smartphones/tablets. | |
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Data Drill-down/Drill-through Ability to interactively explore underlying details of charts and tables. |
Drill-down and drill-through capabilities are native to all Looker dashboard objects. | |
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Scheduled Reporting Enables automatic distribution of reports/dashboards at set intervals. |
Scheduled reporting and data delivery are well-documented Looker features. | |
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Real-time Visual Updates Dashboards refresh automatically as underlying data changes. |
Real-time visual updates happen via live/streaming connections to data warehouses. | |
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Export to PDF/Excel/CSV Formats Ability to export dashboards and reports for offline analysis. |
Exports to PDF/Excel/CSV formats are natively supported. | |
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Embedded Analytics Allows analytics modules to be embedded into third-party applications (e.g., intranets). |
Embedded analytics is a core Looker feature as highlighted in product marketing. |
Audit, Compliance & Regulatory
(6 Yes /6 Known /7 Possible features)
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Regulatory Reporting Templates Provides built-in templates for common banking regulatory submissions (e.g., Basel, IFRS). |
Regulatory reporting templates are available for common requirements, especially for financial services. | |
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Audit Trail Support Tracks all data transformations, accesses, and changes for audit purposes. |
Looker maintains an audit trail for data access, report changes, and user actions. | |
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Role-based Access Controls Enables granular permission management according to user roles and compliance needs. |
Role-based access controls are granular and fully implemented in Looker. | |
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Data Retention Policy Enforcement Automatically enforces bank-mandated data retention and deletion rules. |
Data retention policies can be enforced via Google Cloud and Looker governance features. | |
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Secure Data Masking Sensitive data can be masked for privacy and access control. |
No information available | |
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Change Logging Logs all alterations to reports, analytics, and underlying data. |
Change logging is part of Looker's audit and activity tracking capabilities. | |
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GDPR and Data Privacy Support Features to ensure compliance with data privacy regulations. |
As part of Google Cloud and enterprise offerings, Looker supports GDPR compliance and advanced data privacy features. |
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 fundamental to Looker's collaborative platform. | |
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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 team collaboration are provided. | |
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In-application Comments and Discussion Ability to annotate reports or dashboards for collaborative review. |
Looker dashboards and reports include in-application comments for discussions. | |
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Task Assignments and Notifications Feature for assigning analytical review or approvals to specific users. |
Task assignment and notification features are available via Looker's alert functionality. | |
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User Management APIs APIs to integrate or synchronize user access with other bank systems (e.g., Active Directory). |
Looker offers APIs for user management and integration with enterprise authentication/authorization systems. | |
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Single Sign-On (SSO) Support Integrates with corporate authentication systems for streamlined access. |
Single sign-on (SSO) is supported through SAML, OAuth, and other common protocols. |
Performance and Scalability
(2 Yes /2 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. |
No information available | |
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Elastic Scalability Can scale compute and storage up/down dynamically based on load. |
Elastic scalability is inherent as Looker runs on scalable Google Cloud infrastructure. | |
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Distributed Processing Supports parallel, distributed computation for large data workloads. |
Distributed query processing is supported when connected to distributed data warehouses. | |
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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. |
End-to-end encryption is supported for both data at rest and in transit between Looker and databases. | |
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Multi-factor Authentication (MFA) Supports two-step verification and other MFA protocols. |
Multi-factor authentication can be enabled for Looker via Google Cloud Identity/SSO integration. | |
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Activity Monitoring & Alerts Logs user activities and sends alerts on potentially suspicious actions. |
Looker supports activity monitoring and alerts for suspicious or policy-violating 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. |
Looker is SOC 2 certified and designed for regulated industries, including banking. |
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 deployment on public cloud, in VPC, or hybrid as per customer policy. | |
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Integration with Existing BI Tools Supports interoperability with established business intelligence platforms. |
Looker is designed to integrate with other BI platforms via APIs and connectors. | |
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Custom Connectors Supplies or supports development of connectors to legacy or niche banking systems. |
Custom connectors can be developed via Looker API and SDKs. | |
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Open API Support Provides APIs for programmatic access to functions and analytics. |
Open API support is central to Looker, with a well-documented API suite. | |
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Containerization Support Compatible with Docker/Kubernetes-style deployments for portability. |
Containerization (via Docker) is supported for flexible and portable deployments. | |
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Automated Upgrade Mechanisms Allows seamless updates with minimal user disruption. |
Automated upgrades are supported as part of managed Looker cloud deployment. |
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 is offered for enterprise plans (documented on Looker's support page). | |
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Dedicated Account Manager Appoints a dedicated representative for large or strategic clients. |
Dedicated account managers are assigned to enterprise and strategic customers. | |
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Comprehensive User Documentation Rich, regularly updated manuals and knowledge bases. |
Comprehensive, regularly updated documentation is available on Looker Docs and support site. | |
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Online Training Modules On-demand video or interactive training for bank staff. |
Looker provides online training modules, both live and on-demand. | |
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User Community Forum Active user community/support forum for product knowledge sharing. |
Active user community forum with Q&A and expertise sharing is hosted by Looker. | |
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Custom Training Workshops Tailored, live training sessions delivered by vendor experts. |
Custom training workshops are offered for enterprise customers. |
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Data Integration & Connectivity
(7 Yes /8 Known /11 Possible features)
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Multi-source Data Connections Ability to connect to a wide range of data sources (databases, files, APIs, etc.) simultaneously. |
Looker supports connecting to a wide variety of data sources via JDBC, APIs, files, and cloud data warehouses. Documentation and case studies confirm multi-source connectivity. | |
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Banking Core System Integration Native connectors for popular core banking systems (e.g., Temenos, Finacle, FIS, etc.). |
Not as far as we are aware.* Looker itself does not provide native core banking system connectors (e.g., Temenos, Finacle) but supports general data connectivity. Integration is possible via database/APIs but not native. | |
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Real-Time Data Synchronization Support for real-time data updates and streaming ingestion. |
Looker supports real-time dashboards through live connections to cloud data warehouses and APIs, enabling streaming and real-time data updates. | |
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ETL/ELT Support Built-in Extract, Transform, Load/Extract, Load, Transform processes for preparing data. |
Looker includes built-in data modeling and transformation (LookML), which supports ELT/ETL workflows as part of its platform. | |
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Data Blending Allow combining data from multiple sources for unified analysis. |
Data blending is explicitly supported in Looker for combining multiple sources for unified analysis. | |
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API Data Fetch Rate Maximum rate at which data can be fetched from APIs. |
No information available | |
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Batch Data Processing Capacity Volume of batch data pipeline processing. |
No information available | |
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Custom Connector Development Allows custom connectors for unique data sources. |
Looker allows developers to create custom connectors and integrations via Looker Actions, APIs, and Marketplace. | |
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Data Format Support Range of supported data types/formats (CSV, XML, JSON, Parquet, etc.). |
No information available | |
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Scheduling Data Updates Ability to schedule automated data refresh intervals. |
Looker provides automated and configurable scheduling for data refresh and report delivery. | |
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On-premises and Cloud Connectivity Supports both on-premises and cloud-hosted data connections. |
Platform supports connectivity to both on-premises databases (via secure tunnels/JDBC) and cloud data warehouses. |
Data Governance & Security
(10 Yes /10 Known /11 Possible features)
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Role-Based Access Control (RBAC) Allow fine-grained user access management based on roles. |
Looker supports RBAC with model, row, column, and feature-level permissions. | |
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Data Encryption at Rest/In Transit Encrypts all sensitive data during storage and transmission. |
Looker encrypts data at rest and in transit; described in Google Cloud security documentation. | |
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Audit Logging Records all user activity for compliance and traceability. |
Audit logging, including user activity and access logs, is a standard part of Looker’s admin features. | |
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GDPR/CCPA Compliance Built-in features to comply with privacy regulations. |
Google Cloud (and Looker) are compliant with GDPR/CCPA; features for data subject requests are available. | |
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Data Lineage Tracking Ability to trace the origin and transformation history of data. |
Looker provides data lineage tracking through LookML and content history. | |
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PII Data Masking Automatically masks sensitive personally identifiable information. |
PII data masking is configurable within data models and through row-level security in Looker. | |
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Single Sign-On (SSO) Integration with enterprise authentication (e.g., SAML, LDAP, Active Directory). |
Looker offers SSO integration with SAML, LDAP, Okta, Azure AD, etc. | |
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Multi-factor Authentication (MFA) Requires extra layer of security for platform access. |
Multi-factor authentication is available either directly or via SSO integrations. | |
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Retention Policy Management Automated controls for enforcing data retention/deletion policies. |
Retention policies and automated data deletion can be configured. | |
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User Permissions Granularity Level of detail for restricting access to platform features/data. |
No information available | |
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Automated Compliance Reporting Automated generation of compliance audit reports. |
Compliance audit reporting can be automated using Looker's scheduling and audit logging features. |
Analytics & Reporting
(9 Yes /9 Known /11 Possible features)
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Self-service Analytics Enable non-technical users to create queries and generate insights. |
Self-service analytics is a core Looker feature; business users can explore and create insights in the UI. | |
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Ad Hoc Reporting Ability for users to create custom reports on demand. |
Ad hoc reporting is supported through Explore and dashboard modules. | |
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Scheduled & Automated Reporting Support for automatic, timed report generation and delivery. |
Scheduled/automated reporting is a built-in feature; reports can be delivered by email, webhook, or external integrations. | |
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Interactive Dashboards Customizable dashboards with interactive filters and drill-downs. |
Interactive dashboards with filters, cross-filtering, and drill-downs are a standard Looker capability. | |
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Data Visualization Gallery Number of available chart/visualization types. |
No information available | |
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Geo-spatial Analytics Provides geo-mapping and spatial analysis features (e.g., for branch performance). |
Geo-mapping and spatial analytics are supported (Map/Geo visualization in documentation and user guides). | |
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KPI Tracking Preset and custom banking KPIs (e.g., NIM, RoE, LCR). |
Looker provides KPI tracking with customizable metrics/models for banking and finance. | |
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Drill-through Analysis Ability to click through summary data down to transaction detail. |
Drill-through analysis is available for dashboards and all data visualizations. | |
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Embedded Analytics Can embed reports/charts in other banking applications or portals. |
Reports and dashboards can be embedded into external web apps/portals via Looker’s embed API. | |
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Data Export Options Allows exporting reports to multiple formats (Excel, PDF, CSV, etc.). |
No information available | |
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Alert & Notification Triggers Define conditions to alert users of anomalies or events. |
Alert conditions and scheduled notifications are natively available. |
Artificial Intelligence & Machine Learning
(1 Yes /1 Known /11 Possible features)
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Integrated ML/AI Engines Native capabilities for building, training, and deploying models within the platform. |
No information available | |
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Pre-built Banking Models Library of ready-to-use models for fraud, churn, credit risk, etc. |
No information available | |
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Model Training Speed Measured throughput for ML model training. |
No information available | |
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AutoML Automated machine learning workflows for non-expert users. |
No information available | |
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Real-Time Scoring Deploys models to score transactions or events as they occur. |
No information available | |
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Explainable AI (XAI) Tools for interpreting model outcomes and increasing regulatory trust. |
No information available | |
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Integration with Python/R Notebooks Enable data scientists to work directly within programming notebooks. |
Looker supports direct integration with Jupyter and Data Studio; Looker API enables integration for Python/R workflows. | |
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Model Ops (Monitoring and Retraining) Features for monitoring models in production and retraining as needed. |
No information available | |
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Anomaly Detection Automated detection of unusual activity (transactions, logins, etc.). |
No information available | |
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Natural Language Processing (NLP) Supports NLP for sentiment or document analysis. |
No information available | |
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Number of Supported Algorithms Count of out-of-the-box ML/AI algorithms offered. |
No information available |
Collaboration & Sharing
(9 Yes /9 Known /10 Possible features)
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In-platform Commenting Users can comment/tag colleagues on reports/dashboards. |
Looker enables users to comment and @ mention others in dashboards and reports. | |
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Role-based Content Sharing Granular controls for sharing analytics content with specific users/groups. |
Fine-grained sharing with user, group, and permission-based controls is standard. | |
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Version Control Track versions and changes to dashboards or data models. |
Version history tracking is available for content, models, and dashboards. | |
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Notification System Alerts users with updates or shared content. |
Notification of updates and content sharing through in-platform/system notifications. | |
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Export/Publish to External Channels Publish insights/reports to email, portals, or business apps. |
Export/publishing to email, webhooks, Slack, and G Suite apps supported. | |
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Collaboration Workspace Shared spaces for cross-team analytics project work. |
Looker has shared folders and collaboration spaces for teams. | |
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Audit Trail on Shared Assets Tracks who accesses or modifies shared analytics assets. |
Looker tracks access, modifications, and shares on assets for audit trail. | |
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Concurrent User Limit Maximum number of users who can collaborate concurrently. |
No information available | |
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Personalized Content Feeds User-customized feeds for relevant insights/notifications. |
Users receive tailored content suggestions and notification feeds based on their activity. | |
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Integration with Corporate Communication Tools Slack, Teams, or email integration for sharing notifications. |
Slack and Google Workspace (Gmail, Sheets, etc.) integrations are available for sharing notifications. |
Scalability & Performance
(7 Yes /7 Known /10 Possible features)
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Maximum Data Volume Supported The data size the platform can efficiently process. |
No information available | |
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Concurrent User Support Maximum number of analytics users supported at once. |
No information available | |
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Query Response Time Median time to return results for standard queries. |
No information available | |
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Elastic Scaling Automated system resources scaling up/down based on load. |
Looker is built on Google Cloud and supports elastic scaling through managed services. | |
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Cloud-native Architecture Built to run natively on cloud platforms for maximum scale. |
Cloud-native architecture is an explicit core design feature. | |
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High Availability Redundancy and failover support for mission-critical analytics. |
Looker leverages Google Cloud’s high availability, redundancy, and failover capabilities. | |
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Data Partitioning Support for dividing data sets for distributed processing. |
Data partitioning and sharding supported for efficient large-scale processing. | |
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Multi-tenancy Single platform instance supports multiple organizations/business units securely. |
Looker supports secure multi-tenancy via user/group/data model permissions. | |
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Distributed Computing Support Harnesses cluster computing for faster processing. |
Looker supports connection to distributed computing engines and cluster processing via database connections. | |
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Workload Isolation Separates analytic workloads (e.g., test vs. production). |
Workload isolation is supported via projects, environments (dev/prod), and model-level segregation. |
User Experience & Usability
(9 Yes /9 Known /10 Possible features)
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No-code/Low-code Analytics Allows users to build reports/dashboards without advanced coding. |
Looker is designed for no-code/low-code analytics with point-and-click UI. | |
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Mobile Accessibility Analytics accessible on mobile devices (responsive web or app). |
Looker's responsive design supports analytics on mobile web and app versions. | |
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Customizable Dashboards Users can tailor dashboards to their preferences. |
Customizable dashboards are a headline capability of Looker. | |
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Personalized Analytics Platform adapts to users’ roles, preferences, or historical behavior. |
User and role-based personalization for analytics experience is provided (e.g., personalized landing pages, surfaced recommendations). | |
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Onboarding & Guided Tutorials In-app guidance and training to speed up user adoption. |
Onboarding flows, guided tours, and in-app help/tutorials available and customizable. | |
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Accessibility Compliance (WCAG) Meets standards for users with disabilities. |
Google states compliance with WCAG 2.1 Level AA for Looker; accessibility features available. | |
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Multi-language Support Platform available in user’s preferred language. |
Looker supports multiple languages natively via UI and can localize dashboards. | |
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Feedback/Support Widgets In-platform mechanism to contact support or send feedback. |
Feedback widgets and in-app support channels are included by default. | |
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Custom Theme Support Ability to configure platform colors, fonts, and layout. |
Dashboards and reports support custom theme, logo, and layout. | |
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User Satisfaction Score Aggregate user feedback regarding usability. |
No information available |
Deployment & IT Management
(8 Yes /8 Known /10 Possible features)
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Deployment Models Available on-premises, private cloud, public cloud, or hybrid. |
No information available | |
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Automated Updates Automatic patches/updates delivered by the vendor. |
Automated updates managed by Google Cloud for Looker SaaS deployments. | |
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Containerization Support Deployable using containers (e.g., Docker, Kubernetes). |
Looker can be deployed in Kubernetes/Docker-based environments. | |
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API Access for Administration Admin controls can be automated via API. |
Admin and user controls are accessible via Looker’s RESTful API. | |
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Backup & Disaster Recovery Automated backups and recovery testing features. |
Looker provides automated backup and disaster recovery for managed cloud deployments. | |
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Custom Domain & Branding Banks can apply their logo, business domain, and UI colors. |
Custom branding and domain settings are available (white-labeling). | |
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Service Level Agreement (SLA) Availability Guaranteed uptime from platform vendors. |
No information available | |
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Multi-instance Support Separate instances for dev, staging, and production. |
Multiple environments (dev, staging, prod) are standard deployment options. | |
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Automated User Provisioning Integrates with HR or IT systems for onboarding/offboarding. |
Looker can integrate with SSO/HR systems for onboarding/offboarding through API or Google Workspace integration. | |
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Change Management Tools Integrated tools for managing platform changes and rollback. |
Change management is available via LookML version control, promotions, and environment isolation tools. |
Integration & Extensibility
(7 Yes /7 Known /10 Possible features)
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Open APIs Well-documented APIs for pushing/pulling data and metadata. |
Comprehensive RESTful open API is available for data and metadata push/pull. | |
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SDKs and Developer Tools Software development kits in major programming languages. |
Looker provides SDKs and developer tools for Python, Java, Node.js, and more. | |
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Marketplace for Add-ons Ecosystem for third-party or in-house extensions. |
Looker Marketplace is available for add-ons, blocks, and community contributions. | |
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Web Hooks/Event Triggers Can respond to platform or data events for integration. |
Looker event triggers and webhooks are natively supported via Actions API. | |
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Custom Widget Support Ability to add bespoke visual components to dashboards. |
Custom widgets can be added via Looker Extensions and Marketplace. | |
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Integration with BI/Analytics Standards Support for OData, JDBC, ODBC, or other analytics standards. |
OData/JDBC/ODBC connectivity is documented as standard for Looker. | |
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Reporting API Throughput Speed of exporting reports via API. |
No information available | |
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Webhook Latency Average time to trigger and deliver an event. |
No information available | |
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Integration Templates Pre-built integrations to common banking or fintech applications. |
No information available | |
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Data Federation Allows querying/discovery across federated sources. |
Looker's federated query features allow cross-source discovery and analysis. |
Compliance & Regulatory Support
(6 Yes /6 Known /10 Possible features)
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Banking Regulatory Templates Pre-made formats for standard banking regulatory submissions. |
No information available | |
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Automated Report Archiving Archive regulatory reports on a scheduled basis. |
Automated archiving/scheduling of compliance/regulatory reports can be accomplished with Looker’s scheduling tools. | |
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Change Logs for Regulated Reports Track and archive changes to all regulatory submissions. |
No information available | |
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Application-level Auditing Event-level logging of user interaction with regulatory reports. |
Looker supports detailed interaction logging with reporting assets. | |
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Localization (Jurisdiction Support) Ability to adapt to various legal/accounting frameworks. |
Localization for currency, date, and jurisdictional considerations supported; customizable per instance. | |
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e-Signature Support Digitally sign regulatory reports as per local frameworks. |
Third-party e-signature support through integration (e.g., DocuSign extensions via Looker Marketplace). | |
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Regulatory Change Management Update content automatically as regulations change. |
No information available | |
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Automated Report Validation Validate submissions against regulatory business rules. |
Validation scripts and logic can be embedded via LookML for report validation. | |
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Data Residency Controls Configure where banking data is stored/processed geographically. |
Data residency controls are supported in Google Cloud platform configurations. | |
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Sanctions and Watchlist Monitoring Tools to analyze and report against global financial watchlists. |
No information available |
Support, Training, and Service
(9 Yes /9 Known /10 Possible features)
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24/7 Support Availability Vendor provides ‘always-on’ support for critical functions. |
Google Cloud support for Looker is 24/7 for premium customers, including production-critical issues. | |
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Dedicated Banking CSM Customer Success Manager specialized in banking analytics. |
Looker (Google Cloud) provides dedicated customer success for financial institutions. | |
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Vendor Response Time Average time to first contact from support. |
No information available | |
|
Certified Training Programs Official learning tracks for business and technical users. |
Certified training programs and learning paths are available for business/technical users. | |
|
On-Demand Knowledge Base Extensive, searchable database of help articles and FAQs. |
Extensive searchable knowledge base and help center are available online. | |
|
Community Forums User-to-user forums for troubleshooting and ideas. |
Community forums for user-to-user support and discussions are supported. | |
|
Implementation Accelerators Templates/frameworks to speed initial implementation. |
Marketplace and library of implementation templates or accelerators are available. | |
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Service Management Portal Online management of support tickets and SLAs. |
Service portal for ticket submissions and SLA tracking is available for cloud customers. | |
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Third-party Implementation Partner Ecosystem Availability of certified partners for platform rollout. |
Looker partners listed for certified implementation services. | |
|
Account Health Reviews Regular check-ins and performance reviews by the vendor. |
Google/Looker conducts account performance reviews for enterprise customers. |
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