Data & Analytics Services

Designing intelligent dashboards, data analytics, and reporting

Unified intelligent data and analytics platform

Harness the full potential of your data with an enterprise-level analytics and data platform. Address complex and fragmented data estate challenges by leveraging Microsoft technologies like Fabric, Azure Synapse Analytics, and Databricks to streamline your data management processes, improve data quality, and gain valuable insights from your data. We provide essential services such as data engineering, data science, real-time analytics, data warehousing, and more into a single, cohesive stack. This eliminates the complexity of dealing with multiple vendors and provides streamlined analytics. Enhance your data capabilities further with Artificial Intelligence (AI), Machine Learning (ML) and Azure, ensuring comprehensive discovery, analysis, and sharing of crucial business data. Read our whitepaper to learn about the transformative capabilities of combining artificial intelligence (AI) and cloud-scale analytics to power better business decisions.

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Simplify integration with a lake-centric approach

Fabric simplifies the complexities of data lakes with OneLake, centralizing data storage to avoid duplication and vendor lock-in. Azure Synapse Analytics enhances this integration by connecting diverse data sources smoothly. Then unify data processing with Databricks combining data engineering, data science and machine learning into a single platform. Fabric’s embedded AI capabilities optimize your data journey, focusing on outcomes over technology. While setting up Fabric can be intricate, our team of data analytics and Fabric experts are here to guide your team through these challenges effectively. Explore our Fabric service offering to learn more.

Data discovery to enhanced insights through automation

At Argano, our data analysts leverage extensive industry-specific expertise in Power BI, data discovery, modeling, visualization, and predictive analytics to transform raw data into actionable intelligence. We go beyond merely providing tools; we equip you with actionable plans for advanced data orchestration and data pipeline development through AI, and ML technologies on the Microsoft Azure platform. Our approach is tailored to your unique data journey, enhancing the speed and accuracy of data collection and analysis. This ensures quick access to vital information, enabling swift, informed business decisions and freeing your team to focus on strategic activities that drive your business forward. No matter where you start, we guide you to achieve enhanced data proficiency and actionable insights.

Learn how our pharma client Apace Packaging utilized our data analytics services to optimize their inventory operations with a smart warehouse solution. We need to know when a shipment arrives, who‘s driving, what’s in the shipment, and what are the next steps [...] I can’t say enough good things about the Argano team.

- Barry Blue, Director of Manufacturing

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We have you covered at every stage of your journey

Data collection

The first step is to collect data from various sources, such as internal business applications like ERP, CRM, external sources, and social media. This data is then stored in a central location, often a data lake.

Data preparation

Once the data is collected, it must be cleaned, transformed, and integrated into a format that can be analyzed.

Data analysis

With the data prepared, it can then be analyzed using various tools and techniques, such as business intelligence, data visualization, and statistical analysis. This allows organizations to gain insights into their data and identify patterns and trends.

Data modeling

Based on the insights gained from the data analysis, organizations can then create models to predict future events or outcomes. This step typically involves techniques such as ML, AI, and predictive analytics.

Data action

The following step is to take action on the insights and predictions generated from the data analysis. This can involve embedding analytics into business processes and integrating these insights into business applications.

Continual improvement

The journey is a continuous process of refining data collection, data preparation, data analysis, data modeling, and data action to improve the decision-making process and overall performance. We can help drive continual improvement by providing managed services around system maintenance.