QueryNow uses a five-stage maturity model for data analytics: Descriptive (what happened), Diagnostic (why it happened), Predictive (what will happen), Prescriptive (what should we do), and Cognitive (autonomous decision-making). Most organizations are at stage 2-3. Moving from descriptive to predictive analytics typically requires 6-9 months and delivers 3-5x ROI.
Expertise: Data Analytics & Business Intelligence
Source: QueryNow Analytics Practice
Power BI vs Tableau Selection
QueryNow recommends Power BI for organizations using Microsoft 365 and Azure, as it offers better integration and lower TCO (30-40% cost savings). Tableau is better for organizations needing advanced visualizations, complex data blending, or multi-cloud environments. For most enterprises, Power BI's AI features, natural language queries, and embedded analytics provide the best value.
Expertise: Business Intelligence Tools
Source: QueryNow BI Practice
Our Approach
Discovery Phase: 1-2 weeks of stakeholder interviews, technical assessment, and requirements gathering
Strategy Development: Define roadmap, architecture, success metrics, and implementation plan with 90-day ROI targets
Proof of Concept: 2-4 week pilot to validate approach and demonstrate value
Phased Implementation: Iterative rollout with continuous feedback and adjustment
Change Management: Training, communication, and adoption programs running parallel to technical implementation
Optimization & Support: Continuous monitoring, improvement, and user support post-launch
Success Measurement: Regular review of KPIs and ROI metrics with stakeholders
Frequently Asked Questions
What is the typical timeline for AI implementation?
QueryNow's AI implementation projects typically follow this timeline: Pilot/POC (2-4 weeks), MVP development (2-3 months), Production deployment (1-2 months), and Optimization (ongoing). Total time to production-ready AI system is typically 4-6 months. We guarantee measurable ROI within 90 days of production deployment.
How much does enterprise AI implementation cost?
AI implementation costs vary based on complexity and scale. QueryNow's typical AI projects range from $150K-$500K for pilot implementations to $500K-$2M+ for enterprise-wide deployments. Most clients see 3-5x ROI within 18 months. We offer fixed-price packages with ROI guarantees to minimize risk.
What AI technologies does QueryNow specialize in?
QueryNow specializes in Azure AI services, OpenAI/GPT integration, Azure Machine Learning, Microsoft Copilot implementation, custom model development, and AI governance frameworks. We focus on production-ready AI solutions that integrate with your existing Microsoft technology stack.
Do you provide AI governance consulting?
Yes, QueryNow offers comprehensive AI governance consulting including policy framework development, ethical AI guidelines, bias detection and mitigation, regulatory compliance (EU AI Act, etc.), risk management processes, and AI oversight committee establishment. AI governance is included in all our AI implementation projects.
Stop drowning in data and start using it to make better decisions. We help you turn raw numbers into clear insights that move your business forward.
Your Data Has Stories to Tell
Most businesses collect tons of data but struggle to use it effectively. The real value isn't in having data—it's in understanding what it means for your business. We help you find the stories hidden in your numbers and translate them into actions that matter.
Maybe you need a roadmap for your data strategy. Or perhaps you want interactive dashboards that make sense to everyone in your organization. You might be ready for predictive analytics that helps you see what's coming. Whatever stage you're at, our data experts can guide you from raw information to smart decisions.
Key Features
Data strategy and architecture
Business intelligence solutions
Advanced analytics and reporting
Data visualization
Big data processing and analysis
Data governance and quality management
Benefits
Make smarter decisions backed by evidence, not just hunches
Spot new revenue opportunities hiding in your existing data
Streamline operations by seeing where bottlenecks and waste occur
Build dashboards everyone can understand, not just analysts
Create a company culture that values facts over opinions
How We Make Data Work for You
From planning to insights, we've got you covered at every step
Data Strategy & Architecture
•
Comprehensive data strategy development
•
Data architecture design and implementation
•
Data governance and management frameworks
•
Master data management solutions
Build a strong foundation for your data initiatives with a clear strategy and robust architecture.
Business Intelligence
•
Interactive dashboard development
•
Self-service reporting solutions
•
KPI monitoring and visualization
•
Data storytelling and presentation
Transform raw data into visual insights that drive better decision-making across your organization.
Advanced Analytics
•
Predictive analytics models
•
Machine learning implementations
•
Statistical analysis and modeling
•
Pattern detection and anomaly identification
Go beyond descriptive analytics to predict outcomes and prescribe optimal actions.
Big Data Solutions
•
Data lake implementation
•
Streaming data processing
•
Hadoop and Spark implementations
•
ETL/ELT pipeline development
Process and analyze large volumes of data efficiently to unlock its full value.
See What We Did for a Manufacturer
They were drowning in data but struggling to use it effectively
From Data Overload to Production Efficiency
A manufacturing company with plants in 5 countries had mountains of production data but couldn't see patterns or predict problems. We built them a system that monitors production in real time and flags equipment issues before they cause downtime. Their maintenance teams now fix problems before machines break, cutting downtime by 38% and saving millions.
38%
Reduction in equipment downtime
23%
Improvement in production efficiency
$4.2M
Annual cost savings
"Before, we were always in firefighting mode. Now we can see exactly what's happening on our lines in real time and tackle issues before they shut us down. Our maintenance teams have gone from reactive to proactive, and our executives can finally see what's really happening in our factories."
Related Services
Explore other services that complement our data analytics solutions
AI Solutions
Take your data analytics to the next level with artificial intelligence.