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Conversational Analytics Services

Maximize Business Data Capitalization With Conversational Analytics Services

Our conversational analytics services, built with natural language processing modules, help instantly retrieve metrics, compare trends, deliver insights, and calculate metrics without manual analysis or complex graphs and dashboards.

Make Your Data Conversational

Proven Conversational Analytics Expertise to Build On

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3+
Years of Engineering Expertise
50+
Enterprise Project Delivered
175+
Engineers & Technology Experts
15+
Industry Transformed

Conversational Analytics Services for Smarter Data Insights

We build conversational AI analytics platforms that link AI with business data to deliver actionable insights, examine trends, and compare metrics for evaluation and opportunity identification using natural language processing.

Conversational Data Querying

Retrieve the appropriate information for any user queries about business data without writing SQL queries or navigating complex dashboards.

Natural Language to Data Queries

Access structured data queries by translating natural-language questions into the right information from your underlying data sources.

Conversational Business Intelligence

Go beyond retrieving numbers by helping users understand trends, changes, comparisons, and patterns within their business data.

Multi-Source Data Intelligence

Allow users to ask questions across datasets, systems, and business functions through a unified conversational experience by connecting multiple existing or new business data sources.

Adaptive Data Analysis

Deliver answers that are meaningful within the organization's specific business environment through context, historical data, definitions, and relevant business metrics.

Interactive Analytics & Summaries

Create a comprehensive natural-language summary of business performance, trends, KPIs, and findings to transform complex information into easily understandable datasets.

AI Data Exploration

Query follow-up questions, drill into results, compare periods, and investigate the reasons behind changes through interactive data exploration.

Get Data-Driven Business Insights With No Complex Dashboards

Make it easier for your teams to enquire, discover insights, uncover opportunities, and tackle challenges with confidence for better decision-making.

Access Conversational Business Intelligence

Conversational Analytics Services Across Industries

Engineering industry-aligned conversational AI analytics around data, metrics, workflows, and decision-making needs, making business intelligence more accessible and delivering relevant and actionable insights.

SaaS

Enquire with users about the use of products, behavior, revenue, retention, and operational performance for a rapid and better understanding of business trends to drive outcomes.

ISVs

Analyze products, customer usage patterns, and business data to find realistic insights guiding product strategy and growth.

BFSI

Understand business performance and instantly retrieve information with financial, customer, operational, risk, and compliance data queries analytically and strategically.

FinTech

Natural-language queries and analytical conversations help you interact with transactional, customer, and financial data, and risks involved in your business.

Retail

Use the sales, customer, inventory, product, and behavioral data of your business with conversational AI analytics to understand performance, trends, and available opportunities.

Manufacturing

Query across production, quality, supply chain, operational, and IoT data for better operational visibility and informed decision-making.

Logistics

Identify trends and answer operational questions faster by interacting with shipment, fleet, warehouse, route, and supply chain details of your business data.

Travel

Turn booking, customer, pricing, operational, and behavioral data into optimal and contextual insights for your business using natural language processing queries.

Healthcare

Recognize trends and critical patient operational queries rapidly with direct interaction through EHR records, diagnostic data, hospital capacity metrics, and resource allocation.

Education

Achieve contextual insights with natural language processing from automated enrollment, student performance, platform analytics, behavioral data, and institutional operations.

Unlock Conversational Analytics For Your Industries

Explore Conversational Analytics Solutions
  • Align and connect enterprise data sources
  • Simplify complex datasets for informed decisions
  • Identify opportunities, trends, and existing risks
  • Query in natural language without difficulty
  • Surface insights that offer value

Security & Compliance In Conversational Analytics Services

Conversational analytics can process customer, employee, health, financial, and confidential information depending on the source data. Xcelore manages access, minimization, redaction, retention, and evaluation while accounting for the applicable use-case obligations.

Security

  • Conversation Data Protection
  • Access Controls
  • PII Redaction
  • Retention Controls
  • Model Evaluation
  • Auditability

Compliance

GDPR

GDPR

ISO/IEC 42001

ISO/IEC 42001

NIST AI RMF

NIST AI RMF

ISO/IEC 27001

 ISO/IEC 27001

SOC 2

SOC 2

DPDP Act

DPDP Act

CCPA/CPRA

 CCPA/CPRA

HIPAA

HIPAA

GLBA

GLBA

PDPL

 PDPL

Technology For Conversational Analytics Development Services

Develop conversational analytics platforms that unite business data, AI models, semantic comprehension, and governed data infrastructure to enable users to examine and analyze data using natural language.

LLM & Gen AI Models

Enable natural-language interactions with business data with large language models that retain conversational context and deliver clear, relevant answers from your data.

Natural Language to SQL

Develop natural-language questions into structured queries that retrieve relevant information from governed business datasets.

Semantic Layer

Create a business-aware layer that understands metrics, dimensions, relationships, definitions, and business terminology to improve the accuracy of analytical responses.

RAG & Grounding

Connect conversational AI responses with trusted enterprise data and knowledge sources so answers remain relevant, contextual, and connected to the underlying business information.

AI Agents

Fetch data, perform analytics, investigate deeper questions, and manage end-to-end data workflows with AI agent deployment.

Data Engineering

Build the pipelines, transformations, integrations, and data foundations required to make business data accessible and reliable for conversational analytics.

Data Governance

With conversational analytics consulting services, implement data quality, lineage, access, ownership, privacy, and governance practices to your business for enhanced experiences.

AI & Data Observability

Monitor data quality, query performance, AI responses, usage, and system behavior to continuously improve reliability and accuracy.

Engineering With a Modern Conversational Analytics Stack

OpenAI

OpenAI

Anthropic Claude

Anthropic Claude

Google Gemini

Google Gemini

Llama

Llama

Power BI

Power BI

Tableau

Tableau

Looker

Looker

Qlik

Qlik

Snowflake

Snowflake

Databricks

Databricks

BigQuery

BigQuery

dbt

dbt

semantic models

semantic models

LlamaIndex

LlamaIndex

LangChain

LangChain

pgvector

pgvector

Qdrant

Qdrant

Pinecone

Pinecone

GraphQL

GraphQL

OpenAI

OpenAI

Anthropic Claude

Anthropic Claude

Google Gemini

Google Gemini

Llama

Llama

Power BI

Power BI

Tableau

Tableau

Looker

Looker

Qlik

Qlik

Snowflake

Snowflake

Databricks

Databricks

BigQuery

BigQuery

dbt

dbt

semantic models

semantic models

LlamaIndex

LlamaIndex

LangChain

LangChain

pgvector

pgvector

Qdrant

Qdrant

Pinecone

Pinecone

GraphQL

GraphQL

Query Your Data Anything, Get Trusted Answers.

Connect your business data with AI to create a conversational analytics experience built around your organization's metrics, context, and decision-making needs.

Xcelore Process For Conversational Data Intelligence

Our process combines business understanding, data engineering, semantic modeling, AI integration, security, and continuous evaluation to create conversational experiences that provide reliable answers from trusted business data.

Understand Business Queries

Explore and resolve questions your teams need to answer, KPIs to use, decisions, and the business context behind the queries.

Assess Data Ecosystem

We evaluate your data sources, architecture, quality, accessibility, relationships, and gaps that could affect conversational data experiences.

Design Semantic Foundation

We define the data architecture, semantic layer, business definitions, metrics, relationships, and access rules required to interpret business questions correctly.

Build Intelligence Layer

Integrate LLMs, natural-language processing, query generation, grounding, retrieval, and analytical capabilities with your governed business data for outcomes.

Verification & Evaluation

Analyze query accuracy, data retrieval, analytical responses, AI outputs, security, business context, and performance against real-world business scenarios and user queries.

Deploy & Enable Teams

Embed conversational analytics experience into applications, platforms, or workflows where users need access to reliable business insights.

Real-Time Optimization

Monitor data usage, quality, query performance, response accuracy, and user feedback continuously to improve the conversational experience over time.

Why Xcelore for Custom Conversational Analytics Services?

Proven Data Capabilities

Develop reliable conversational analytics experiences with a key understanding of both the data foundations and AI capabilities.

Core Business Context

We design around your organization's business terminology, metrics, KPIs, relationships, and decision-making processes.

Simple Governed Insights

We connect AI responses to trusted business data while incorporating governance, access controls, and data quality practices.

Connect Data Environments

Integrate conversational experiences within existing databases, warehouses, data lakes, APIs, ERP, CRM, and enterprise systems.

Production-Ready Engineering

Achieve scalability, security, reliability, performance, and continuous evolution with business conversational analytics consulting services.

AI-Native Approach

Utilize our expertise in LLMs, RAG, semantic layers, natural-language querying, and agentic AI to advance capabilities where they create meaningful value in the business.

Let’s talk

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Frequently Asked Questions

How do Conversational Analytics Services work?

Conversational AI analytics understands a user’s question, maps it to relevant business metrics and data, retrieves or analyzes the essential information, and presents the result in a natural, human-understandable response.

Can users ask questions about our existing business data?

Yes. Conversational analytics is designed in such a way that it connects with the existing databases, warehouses, lakes, APIs, and enterprise systems in accordance with access and governance controls.

Can business users ask follow-up questions?

Yes. Conversational analytics development services help maintain context, allowing users to drill down, compare results, inquire about changes, or explore related information through follow-up questions.

How does Xcelore ensure conversational business intelligence is accurate?

With trusted data sources, semantic layers, grounding, governed query generation, validation, evaluation, and continuous monitoring of the business data, we tend to improve the accuracy and reliability of all AI analytics responses.

Is it possible that different users have access to different data?

Yes. Users can only retrieve information they are authorized to access, with role-based access and data-level permissions incorporated for them. 

Will conversational analytics services replace BI dashboards?

No, conversational analytics does not necessarily replace dashboards. Instead, it complements the existing business intelligence dashboards by providing a natural-language interface for data exploration, answering ad-hoc questions, and discovering new and accurate business insights.

Can conversational analytics for enterprises work with AI agents?

Yes. Conversational AI agents are designed to perform multi-step data retrieval, analysis, investigation, and other actions depending on the user’s requests and defined permissions to achieve business goals. 

How does conversational analytics generally differ from speech analytics?

Traditional speech recognition maintains a focus on keyword audits and identification of conversational sentiments. Conversational analytics services are for businesses and marketers who aim to understand customer intent and offer valuable insights for project optimization and market growth. 

Access Business Data With Ease, Understand, and Act On

Provide teams with a conversational means of evaluating reliable business data, gaining insights, and finding accurate solutions to the business queries that influence daily decisions.