Smart Insights. Smarter Decisions
Data and AI analytics combine traditional analysis with AI to extract deeper insights. Leveraging Microsoft tools like Azure Machine Learning and Azure Synapse Analytics, businesses can uncover actionable intelligence and drive smarter decisions.
Why SMB's Should Choose us?
At Ojasvi, we don’t just provide tools—we deliver solutions that help SMBs unlock the full potential of their data, turning it into a competitive advantage.
Here’s why partnering with us is the strategic choice:
- Affordable Excellence: Enterprise-grade tools and expertise tailored for SMB budgets.
- Proven Expertise: Deep knowledge of Microsoft technologies and a track record of enabling digital transformation.
- Customer-Centric Approach: Solutions designed around your goals, ensuring immediate and long-term impact.
- Scalability: Solutions that grow with your business, adapting to changing needs and market dynamics.
- Simplified and Actionable Intelligence: We translate complex data into intuitive dashboards and insights that empower SMBs .
- Real-Time Insights for Agility: Stay ahead of the competition with real-time data monitoring and predictive analytics.
- Enhanced Security and Compliance: We ensure your data is protected and compliant with industry regulations.
By working with us, you’re not just adopting analytics; you’re gaining a strategic edge in a digital-first world.
Solutions Offered
Microsoft’s suite of tools and technologies enables SMBs to unlock the potential of their data and leverage AI for smarter decision-making.
Personalized Consultations
- Purpose: Consolidate and organize data from diverse sources.
- Solutions:
- Azure Data Factory for data orchestration and ETL pipelines.
- SQL Server Integration Services (SSIS) for on-premises data integration.
- Azure Purview for data governance and cataloging.
- Value: Provides SMBs with a unified, secure view of their data.
Business Intelligence and Visualization
- Purpose: Transform raw data into actionable insights.
- Solutions:
- Power BI for interactive dashboards and AI-driven analytics.
- Excel with Power Query for custom data visualization.
- Value: Simplifies decision-making by providing real-time, intuitive insights.
Predictive Analytics
- Purpose: Forecast trends and business outcomes using historical data.
- Solutions:
- Azure Machine Learning Azure Machine Learning for predictive modeling.
- Power BI with AI visuals for trend analysis and anomaly detection.
- Value: Enables SMBs to anticipate customer needs and market changes.
Artificial Intelligence and Automation
- Purpose: Integrate AI to enhance operations and automate repetitive tasks.
- Solutions:
- Azure Cognitive Services for text, vision, and language AI.
- Power Automate with AI Builder for automating workflows and AI-driven tasks.
- Value: Reduces manual workload while increasing operational efficiency.
Data Warehousing and Big Data Analytics
- Purpose:Analyze large volumes of structured and unstructured data.
- Solutions:
- Azure Synapse Analytics for data warehousing and big data analytics.
- Azure Databricks for advanced analytics on big data.
- Value: Provides SMBs with enterprise-grade analytics capabilities at a scalable cost.
Real-Time Data Processing and IoT Analytics
- Purpose: Act on live data streams for immediate insights.
- Solutions:
- Azure Synapse Analytics for real-time processing.
- Azure IoT Hub for connecting IoT devices and analyzing telemetry data.
- Value: Enhances operational agility and responsiveness.
AI-Enhanced Customer Insights
- Purpose: Understand customer behavior to improve engagement.
- Solutions:
- Dynamics 365 Customer Insights for unified customer profiles.
- Azure Cognitive Search for personalized recommendations.
- Value: Helps SMBs deliver tailored customer experiences.
Data Security and Compliance
- Purpose: Protect sensitive data and ensure regulatory compliance.
- Solutions:
- Microsoft Purview for governance and compliance management.
- Azure Security Center for data protection in the cloud.
- Value: Secures data while meeting industry-specific compliance standards.
Collaboration and Knowledge Sharing
- Purpose: Enable seamless sharing and utilization of data insights.
- Solutions:
- Microsoft Teams with Power BI Integration for collaborative data discussions.
- SharePoint for centralizing data and reports.
- Value: Facilitates team alignment and faster decision-making.
Self-Service Analytics
- Purpose: Empower non-technical users to analyze data independently.
- Solutions:
- Power BI Self-Service Dashboards for intuitive analytics.
- Power Apps for creating custom data-driven applications.
- Value: Democratizes data usage across all business functions.
Advanced Analytics and Machine Learning
- Purpose: Develop custom AI models to solve specific business challenges.
- Solutions:
- Azure Machine Learning for building and deploying AI models.
- Python/R in SQL Server for in-database machine learning.
- Value: Enables SMBs to adopt advanced technologies tailored to their needs.
Hybrid and Multi-Cloud Analytics
- Purpose: Leverage analytics across on-premises and cloud environments.
- Solutions:
- Azure Arc for managing hybrid data environments.
- SQL Server on Azure VM for hybrid database analytics.
- Value: Offers SMBs flexibility and scalability in data management.
SMBs can harness the power of Data and AI to optimize operations, improve customer engagement, and gain a competitive edge. It helps in:
- Cost Efficiency: Pay-as-you-go models reduce upfront costs.
- Scalability: Solutions grow with business demands.
- Flexibility: Customizable tools cater to specific business requirements.
- Increased Productivity: AI and automation free up resources for high-value tasks.
- Actionable Insights: Real-time analytics enable faster, smarter decisions.
Analytics adoption readiness assessment
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This Analytics assessment questionnaire will walk you through a series of questions to evaluate your company’s readiness for implementing analytics in the departments that matter most in the company.
Please take a moment to complete the questionnaire.
Services Offered:
Data Management and Integration
- Data Warehousing: Centralizing data from various sources for easy access and analysis.
- ETL (Extract, Transform, Load): Efficiently moving data from source systems into data warehouses.
- Data Governance: Ensuring data quality, consistency, and compliance with regulations.
Business Intelligence (BI)
- Dashboarding: Creating interactive dashboards to visualize key metrics and trends.
- Reporting: Generating automated and ad-hoc reports for detailed data analysis.
- Data Governance: Ensuring data quality, consistency, and compliance with regulations.
Analytics
- Analytics transforms data into actionable insights, driving better decisions and outcomes. It can be tailored to meet the specific needs of the clients, helping them leverage data and AI to drive growth, efficiency, and innovation.
- Descriptive Analytics: What happened? Diagnostic Analytics: Why did it happen? Predictive Analytics: What might happen? Prescriptive Analytics: What should we do?
Data Visualization
- Interactive Visualizations: Creating visual representations of data to make insights more accessible.
- Custom Visualization Solutions: Tailoring visualizations to specific business needs
AI and Machine Learning
- Strategy Development: Helping businesses develop AI strategies aligned with their goals.
- Implementation Support: Assisting in the deployment of AI and machine learning solutions.
