Instant Answers for Every Business Question - No Dashboards Required

Limitations of Legacy Analytics Experiences

Organizations today struggle to deliver fast, accessible, and trusted insights to business users at the point of decision-making. As a result, enterprises often rely heavily on dashboards and manual reporting, which leads to delayed insights, operational inefficiencies, and reduced business agility.

Delayed and Reactive Decision-Making

Delayed and Reactive Decision-Making

Business users depend on dashboards and manual reports, leading to slow access to insights and delayed decisions.

Limited Self-Service Data Access

Limited Self-Service Data Access

Users lack the ability to independently query and explore data, creating heavy reliance on IT and analytics teams.

Fragmented and Inconsistent Insights

Fragmented and Inconsistent Insights

Disconnected data sources and multiple reporting layers result in inconsistent and unreliable business interpretations.

Low Adoption of Modern Analytics Tools

Low Adoption of Modern Analytics Tools

Complex BI systems and non-intuitive interfaces reduce user engagement and limit real-time insight consumption.

Limitations of Legacy Analytics Experiences

Delayed and Reactive Decision-Making

Delayed and Reactive Decision-Making

Business users depend on dashboards and manual reports, leading to slow access to insights and delayed decisions.

Limited Self-Service Data Access

Limited Self-Service Data Access

Users lack the ability to independently query and explore data, creating heavy reliance on IT and analytics teams.

Fragmented and Inconsistent Insights

Fragmented and Inconsistent Insights

Disconnected data sources and multiple reporting layers result in inconsistent and unreliable business interpretations.

Low Adoption of Modern Analytics Tools

Low Adoption of Modern Analytics Tools

Complex BI systems and non-intuitive interfaces reduce user engagement and limit real-time insight consumption.

Accelerating Self-Service Analytics with Conversational Intelligence

DiLytics Oracle Digital Assistant-based solutions eliminate friction between enterprise data and everyday decision-making by enabling seamless, conversational access to insights. By embedding analytics directly into business workflows, they shift intelligence from standalone tools to an always-available capability. This empowers organizations to move beyond reactive reporting toward faster, on-demand insight consumption. 

Instant Insights For Quick Decisions with Oracle Digital Assistant Consulting Services

Enabling a shift toward a more intuitive, user-driven analytics experience, DiLytics’ Oracle Digital Assistant (ODA) consulting services help organizations enable conversational access to enterprise data using natural language. Users can simply ask questions and receive instant, trusted insights without navigating complex reports. 

Sitting on top of Oracle’s analytics and enterprise platforms, ODA acts as a unified access layer across ERP, HCM, SCM, CX, and CX systems. With DiLytics’ expertise, organizations can seamlessly integrate and customize ODA to deliver insights directly within the flow of work for faster, context-aware decision-making. 

Turning Enterprise Data into Everyday Decisions

DiLytics has developed a set of accelerator offerings on Oracle Digital Assistant to help organizations deliver conversational, insight-driven decision support at scale.

This offering lets business users ask questions in natural language and get quick, trusted answers without navigating dashboards or reports. It uses pre-built, governed data views from the DiLytics Insight Solutions to provide consistent insights. The experience is designed around everyday business questions, supports follow-ups, and is accessible across familiar enterprise channels. This offering is best for fast, operational insights where data already exists in structured views and simple conversational queries suffice.

Oracle EBS, Peoplesoft, JDE, Any Other System

DiLytics
Insight Solution

This offering builds on the Basic version by adding a full ETL and Data Warehouse layer. It consolidates and standardizes enterprise data into a single source of truth, enabling more complex, governed analytics. Conversational flows and NLU models support intuitive, context-aware interactions, while custom ODA skills handle data retrieval and formatting. Integrated across enterprise channels, it brings insights directly into daily workflows. This offering is best for enterprise-scale analytics, complex queries, historical analysis, and long-term conversational AI adoption. 

Oracle EBS, Peoplesoft, JDE, Any Other System

DiLytics
Insight Solution

Increase Data Accessibility Across 100% of Users

Make enterprise insights available to every business user through simple conversational interfaces. 

Accelerating Self-Service Analytics with Conversational Intelligence

DiLytics Oracle Digital Assistant-based solutions eliminate friction between enterprise data and everyday decision-making by enabling seamless, conversational access to insights. By embedding analytics directly into business workflows, they shift intelligence from standalone tools to an always-available capability. This empowers organizations to move beyond reactive reporting toward faster, on-demand insight consumption.

Faster Decision-Making at the Point of Need

Faster Decision-Making at the Point of Need

Users get instant answers through natural language conversations, directly within their daily workflows - reducing delays caused by report navigation or manual analysis

Increased Self-Service Analytics Adoption

Increased Self-Service Analytics Adoption

Business users can access insights without relying on BI teams, lowering barriers to data usage and driving broader adoption of analytics across the organization

Reduced Load on BI and Analytics Teams

Reduced Load on BI and Analytics Teams

By handling repetitive, low-value questions conversationally, BI teams can focus on advanced analysis, data modeling, and strategic initiatives

Consistent and Trusted Insights

Consistent and Trusted Insights

Insights are powered by governed DiLytics Insight Solutions (views or DWH), ensuring consistent business definitions and reducing conflicting numbers across teams

Embedded Analytics in Everyday Work:

Embedded Analytics in Everyday Work:

Insights are delivered through familiar channels (Oracle apps, web, collaboration tools), eliminating context switching and making analytics a natural part of daily work

Scalable Path from Tactical to Strategic Analytics

Scalable Path from Tactical to Strategic Analytics

Customers can start with the Basic offering for quick wins and evolve to the Advanced offering as data maturity and analytical needs grow - without rework

Get Insights 5x Faster with
conversational AI

Enable business users to access trusted enterprise insights instantly through natural language – no dashboards required.

Frequently Asked Questions

How does Oracle Digital Assistant improve enterprise analytics?

ODA enables users to ask business questions in plain language and receive immediate, trusted responses without navigating dashboards or reports. This improves decision-making speed, increases self-service analytics adoption, and reduces dependency on BI teams. 

Oracle Digital Assistant can integrate with enterprise platforms such as Oracle ERP, HCM, SCM, CX, Oracle Fusion Cloud, Oracle Integration Cloud (OIC), analytics platforms, and collaboration tools like Microsoft Teams and web applications. 

The Basic offering focuses on quick conversational access to structured business data and operational insights. The Advanced offering adds ETL, data warehousing, advanced conversational flows, and context-aware analytics for enterprise-scale reporting and historical analysis. 

Absolutely. ODA is designed with a conversational interface that allows business users to interact with systems using natural language, reducing the learning curve and increasing adoption. 

DiLytics designs, configures, and integrates Oracle Digital Assistant with enterprise data sources, ensuring secure, scalable, and context-aware conversational analytics tailored to business needs.

ODA can handle a wide range of queries including operational metrics, financial summaries, HR data, supply chain updates, customer insights, real-time performance indicators, and more.