CRM Analytics (formerly Tableau CRM / Einstein Analytics)
Turn every Salesforce data point into an AI-powered prediction and prescriptive action.
AskData, now a core component of the SAP Analytics ecosystem following its acquisition, represents the 2026 benchmark for Natural Language Query (NLQ) and augmented analytics. The platform utilizes a proprietary 'Semantic Layer' architecture that translates complex human language into structured queries across diverse data environments including Snowflake, BigQuery, and SAP HANA. Unlike generic LLMs, AskData employs a specialized Knowledge Graph that maps business-specific entities and relationships, significantly reducing the risk of 'analytical hallucinations' during data retrieval. Its 2026 market position is defined by its ability to democratize data access for non-technical users, allowing them to create dynamic visualizations and 'Smart Cards' through simple chat interfaces. The technical core is built on a hybrid retrieval model that combines vector-based search with deterministic SQL generation, ensuring that enterprise-level precision is maintained. Architecturally, it is designed for high-concurrency environments, offering seamless integration with collaborative platforms like Microsoft Teams and Slack to push real-time insights into active workflows.
Maps data relationships and business logic to ensure NLP queries understand hierarchy and context.
Turn every Salesforce data point into an AI-powered prediction and prescriptive action.
Augmented analytics for the enterprise, powered by automated machine learning and natural language processing.
The Generative AI Assistant for Data-Driven Enterprise Decisions.
Transform complex data sets into automated, plain-English stories for instant decision-making.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Micro-apps that package a specific KPI with its visualization and underlying data.
Algorithmically detects anomalies and trends in datasets without user prompting.
Native support for over 20 languages using localized transformer models.
Social-media style feed for data insights where users can comment and share.
Provides the 'logic path' showing which columns and filters were used to generate a result.
Maintains a live connection to source systems with sub-second metadata updates.
Executives cannot navigate complex BI dashboards while traveling.
Registry Updated:2/7/2026
Delay in identifying inventory shortages across multiple warehouses.
Difficulty in merging data from Facebook, Google, and internal CRM.