Snoh Ava + SAP HANA: Natural Language Analytics for Faster Decisions

Snoh Ava + SAP HANA: Natural Language Analytics for Faster Decisions

Introduction: The Reporting Bottleneck in SAP Environments

Enterprise teams running SAP HANA have access to some of the most powerful in-memory data infrastructure available today. Yet despite this technological advantage, a persistent frustration remains: business leaders still can’t get answers quickly.

CFOs wait days for financial trend reports. Supply chain directors struggle to extract real-time inventory insights. Sales leadership relies on static dashboards that don’t answer follow-up questions. The core issue isn’t data availability, it’s data accessibility.

Traditional business intelligence tools require technical expertise, SQL knowledge, and IT dependency. By the time a custom report gets built, reviewed, and delivered, the business context has often changed. Decision-makers need speed, flexibility, and independence; not another ticket in the IT queue.

This is where SAP HANA natural language analytics changes everything.

Why SAP HANA Data Still Feels Hard to Access (for Business Users)

SAP HANA is designed for performance and scale. CDS (Core Data Services) Views provide structured, reusable data models that encapsulate complex business logic. But accessing this data traditionally requires:

  • SQL expertise to query CDS Views correctly
  • Technical understanding of schema relationships and data models
  • IT resources to build, modify, and maintain reports
  • Weeks of development time for custom dashboards
  • Training overhead for business users on BI platforms

The result? Management teams remain dependent on analysts and developers for insights that should be self-service. Critical business questions go unanswered because extracting the data feels too complicated or time-consuming.

This dependency slows decision-making cycles, creates communication gaps between business and IT, and prevents organizations from fully leveraging their SAP HANA investment.

What is Snoh Ava?

Snoh Ava is an AI-powered natural language analytics platform built specifically for enterprise data environments. It eliminates the technical barriers between business users and their SAP HANA data by transforming conversational questions into executable SQL queries—automatically, accurately, and instantly.

Unlike traditional BI tools that require drag-and-drop configuration or query-building expertise, Snoh Ava allows executives, managers, and business analysts to ask questions exactly as they would to a human analyst:

  • “What were our top 5 products by revenue last quarter?”
  • “Show me vendor spend trends over the past 12 months”
  • “Which regions are underperforming against sales targets?”

The platform handles the complexity behind the scenes, delivering visualized answers in seconds—not weeks.

How Snoh Ava Works with SAP HANA (Step-by-Step Flow)

The Snoh Ava SAP HANA integration is designed for simplicity and security. Here’s how it works:

1. Secure Connection Using Credentials

Administrators connect Snoh Ava to their SAP HANA instance using standard database credentials. The connection is encrypted and follows enterprise security protocols, ensuring data governance and compliance requirements are met.

2. Integration with CDS Views

Snoh Ava automatically discovers and connects to published SAP HANA CDS Views—the curated, business-ready data models that represent key entities like sales orders, purchase requisitions, financial transactions, and inventory movements.

This integration means business users interact with governed, validated data rather than raw tables—reducing errors and maintaining data integrity.

3. Schema Visibility

Once connected, users can view the available schema structure within Snoh Ava’s interface. This transparency helps users understand what data is available without needing to know technical database structures.

4. Ask Questions in Natural Language

This is where natural language to SQL for SAP HANA becomes transformative. Users type or speak their questions in plain English:

  • “What is our current accounts receivable aging?”
  • “Compare inventory turnover rates across warehouses”
  • “Show procurement spend by supplier category this fiscal year”

5. Automatic SQL Generation

Snoh Ava’s AI engine interprets the question, maps it to the appropriate CDS Views, constructs optimized SQL queries, and executes them against SAP HANA—all within milliseconds. Users never see the SQL; they only see the answer.

6. Instant Answers On-Screen

Results appear immediately as formatted tables, charts, or dashboards. Users can refine their questions, drill down into details, or pivot their analysis without writing a single line of code.
This workflow represents the future of SAP HANA self service analytics—empowering business users without compromising on data quality or governance.

Dashboards & Visualizations (Without Waiting Weeks)

Beyond answering individual questions, Snoh Ava enables users to generate management dashboards without IT dependency. With a few clicks, business leaders can:

  • Create bar charts comparing performance across divisions
  • Generate pie charts showing budget allocation by department
  • Build line graphs tracking KPIs over time
  • Visualize 3D charts for multi-dimensional analysis
  • Design executive dashboards combining multiple metrics

These aren’t static reports. Dashboards update dynamically as underlying SAP HANA data changes, providing real-time analytics on SAP HANA for always-current insights.

Traditional dashboard development takes weeks of requirements gathering, design, development, and iteration. With Snoh Ava, the same dashboard can be built in minutes—and modified instantly as business needs evolve.

Key Benefits for Management & Leadership Teams

Speed

Questions that previously took days to answer now get responses in seconds. Leadership can make data-driven decisions in real-time rather than waiting for scheduled reports.

Reduced IT Dependency

Business teams become self-sufficient for routine analytics needs. IT teams can focus on strategic initiatives rather than fielding endless report requests.

Faster KPI Tracking

KPI dashboards for SAP HANA become living resources that executives can check anytime, anywhere—enabling proactive management rather than reactive problem-solving.

Better Decision-Making

When data is accessible, decision-makers can test hypotheses, explore scenarios, and validate assumptions quickly. This agility translates directly into competitive advantage.

Data Democratization

Organizations unlock the collective intelligence of their teams when everyone can ask questions of enterprise data—not just analysts and developers.

Real-World Use Cases

1. Sales Performance Analysis

Regional sales directors use Snoh Ava to ask: “Which product lines are growing fastest in the Southeast region?” They instantly see trends, identify opportunities, and adjust strategies—without involving the analytics team.

2. Procurement Spend Analysis

CFOs query: “Show me our top 20 vendors by spend and payment terms.” The resulting dashboard reveals consolidation opportunities and negotiation leverage that might otherwise remain hidden in spreadsheets.

Supply chain managers ask: “What’s our inventory turnover rate for slow-moving items?” Real-time visibility into business insights from CDS Views enables proactive stock management and capital optimization.

4. Finance Reporting Automation

Month-end close becomes faster when finance teams can instantly pull P&L summaries, variance analyses, and cash flow projections—all generated from SAP HANA data through enterprise reporting automation.

5. Vendor Performance Analysis

Procurement teams evaluate supplier reliability by asking: “Which vendors have the highest on-time delivery rates?” Data-driven vendor management improves operational efficiency and reduces risk.

6. Operational KPIs

Operations leaders track production metrics, quality indicators, and capacity utilization through customizable dashboards that update as new data flows into SAP HANA.

7. Executive Leadership Dashboards

C-suite executives maintain comprehensive views of organizational health through personalized dashboards combining financial, operational, and strategic metrics—all accessible via natural language queries.

Traditional BI vs Snoh Ava: A Comparison

FactorTraditional BI ToolsSnoh Ava
Query InterfaceDrag-and-drop or SQLNatural language
Setup TimeWeeks to monthsHours to days
User TrainingExtensiveMinimal
IT DependencyHighLow
Customization SpeedSlow (requires dev)Instant
Business User AdoptionLimitedHigh

This comparison illustrates why conversational BI for SAP represents a fundamental shift in how enterprises approach analytics.

Why This Matters for Enterprises

The velocity of business decision-making directly impacts competitive positioning. Organizations that can analyze data faster, test hypotheses more frequently, and respond to market changes more quickly outperform those locked into rigid reporting cycles.

AI-powered reporting for SAP HANA through platforms like Snoh Ava enables this agility. When combined with other digital transformation tools—like Intelligent Document Processing for unstructured data, Document Management Systems for content governance, and Business Process Management for workflow automation—enterprises build comprehensive data & AI capabilities that transform operations.

The true value isn’t just faster reports. It’s the cultural shift toward data-driven decision-making at every level of the organization.

Conclusion: Make Your SAP HANA Data Work for Your Business

Your organization invested in SAP HANA for its power, speed, and reliability. But if that data remains locked behind technical barriers, you’re not realizing the full return on that investment.

Snoh Ava removes those barriers, transforming SAP HANA into a truly accessible SAP HANA data mining tool that business users can leverage independently. Natural language analytics isn’t a future vision—it’s available today, delivering measurable value through faster decisions, reduced costs, and better business outcomes.

Stop waiting weeks for reports. Start asking questions and getting answers in seconds.

Ready to see Snoh Ava in action? Book a demo with our team and discover how natural language analytics can transform your SAP HANA environment. Or contact us to discuss your specific data & AI solutions needs.


Frequently Asked Questions (FAQs)

Does Snoh Ava require changes to our SAP HANA configuration?

No. Snoh Ava connects to existing SAP HANA instances using standard credentials and works with published CDS Views without requiring schema modifications or custom development.

How accurate is the natural language to SQL conversion?

Snoh Ava uses advanced AI models trained specifically for business analytics contexts. The platform learns your data model over time, improving accuracy with usage. Users can always verify generated queries for transparency.

Can non-technical users really build dashboards without IT help?

Yes. The platform is designed for business users with no technical background. If you can ask a question, you can build a dashboard.

What about data security and governance?

Snoh Ava respects all existing SAP HANA security policies, role-based access controls, and data governance rules. Users only see data they’re authorized to access.

How quickly can we deploy Snoh Ava?

Typical deployments range from a few days to a couple of weeks, depending on environment complexity and requirements. Most organizations see value within the first week.

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