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Transform your data into actionable insights with Azure Data Analytics & BI services

Leverage the power of Azure to unlock the full potential of your data. Our comprehensive Data Analytics and BI services help you make data-driven decisions, enhance operational efficiency, and drive business growth. Partner with our Azure-certified experts to transform your raw data into valuable insights.

Consult data experts

Why invest in Data Analytics & BI services?

Actionable insights

Gain deep insights from your data to inform strategic decisions and drive business outcomes.

Cost efficiency

Optimize costs with efficient data storage and processing solutions tailored to your business requirements.

Improved data quality

Ensure data accuracy and consistency with robust data governance and quality management practices.

Enhanced decision-making

Empower your team with data-driven decision-making capabilities using advanced analytics and BI tools.

Scalable solutions

Implement scalable data analytics solutions that grow with your business and adapt to changing needs.

Real-time analytics

Access real-time analytics for timely insights and swift decision-making, leveraging Azure’s powerful analytics tools.

Comprehensive Azure data analytics & BI services for every business need

Leveraging Azure's robust capabilities, we aim to enhance your business efficiency, agility, and innovation, propelling your enterprise to thrive in a tech-centric marketplace.

Develop a robust data strategy to guide your analytics initiatives.
Business needs assessment

Our consultants conduct a thorough analysis of your business requirements and data landscape.

Technology recommendations

We provide guidance on the best Azure tools and services for your analytics needs.

Roadmap development

Create a detailed plan outlining the steps, timeline, and resources needed for successful data analytics implementation.

Implementation support

Offer hands-on support to ensure the effective execution of the data strategy.

Seamlessly integrate data from various sources for a unified view.
Data pipeline setup

Develop data pipelines using Azure Data Factory to automate data integration.

Data cleansing

Ensure data quality and consistency through robust data cleansing processes.

Real-time data integration

Implement real-time data integration solutions using Azure Stream Analytics.

Data transformation

Transform data into a usable format for analysis and reporting using Azure Data Lake Analytics.

Build scalable and efficient data warehouses on Azure.
Data warehouse design

Design a data warehouse architecture tailored to your business needs.

ETL processes

Develop efficient ETL processes to load data into your data warehouse.

Data governance

Implement data governance practices to ensure data quality and security.

Scalability planning

Ensure your data warehouse can scale efficiently to meet growing business demands.

Empower your team with advanced BI tools and solutions.
BI strategy development

Develop a comprehensive BI strategy to guide your analytics initiatives.

Power BI implementation

Implement Power BI dashboards and reports for interactive data visualization.

Advanced analytics

Leverage Azure’s advanced analytics capabilities to gain deeper insights.

Self-service BI

Enable self-service BI capabilities to empower users to create their own reports and dashboards.

Utilize predictive analytics to forecast trends and outcomes.
Predictive model development

Develop predictive models using Azure Machine Learning.

Model validation

Validate and refine predictive models to ensure accuracy.

Deployment and monitoring

Deploy predictive models and monitor their performance.

Scenario analysis

Conduct scenario analysis to explore different business outcomes based on predictive models.

Transform data into actionable insights with powerful visualizations.
Interactive dashboards

Create interactive dashboards using Power BI to explore data insights.

Custom reports

Develop custom reports tailored to your business needs.

Data storytelling

Use data visualization to tell compelling stories and inform decision-making.

Visualization best practices

Implement best practices in data visualization to ensure clarity and impact.

Data analytics best practices

At CIGen, we adhere to the industry's best practices to ensure the highest standards in data analytics. By leveraging advanced technologies and maintaining rigorous data governance, we deliver reliable, actionable insights that drive informed decision-making and business success.

Data quality assurance
Scalable infrastructure
Advanced analytics tools
Machine Learning integration
AI-Driven insights
Interactive visualizations
Real-time analytics
Data governance

Ready to transform your data into strategic assets?

Partner with CIGen’s Azure experts to unlock the full potential of your data with advanced analytics and BI solutions. Let’s drive your business forward with data-driven insights and fact-based decision-making.

Talk to us

Principles of quality data analytics

Systematic collection

Quality data analysis begins with the systematic collection of data from reliable sources. This ensures that the data is comprehensive, representative, and suitable for the analysis, laying a strong foundation for accurate insights.

Rigorous data validation

Rigorous cleaning and validation of datasets are essential to eliminate errors and inconsistencies. This process ensures that the data is accurate and reliable, which is crucial for producing trustworthy and actionable results.

Statistical interpretation

Applying appropriate statistical methods is vital for interpreting the data correctly. This involves selecting the right analytical techniques to uncover patterns, trends, and relationships, leading to meaningful and actionable insights.

Types of data analytics

Explore the various types of data analytics and BI services CIGen offers, leveraging Azure's robust capabilities to transform your data into practicable insights. From analyzing historical trends to predicting future outcomes and providing actionable recommendations, our services cover every aspect of data analytics to drive informed decision-making.

Descriptive analytics

Analyze historical data to understand past trends and patterns, leveraging Azure Synapse Analytics for large-scale data processing.

Diagnostic analytics

Identify the root causes of specific outcomes and trends using advanced data modeling and analysis tools on Azure.

Predictive analytics

Forecast future trends and behaviors with predictive modeling and machine learning capabilities powered by Azure Machine Learning.

Prescriptive analytics

Provide recommendations for decision-making based on data analysis, using AI-driven insights from Azure AI services.

Data Analytics & BI lifecycle designed for maximum impact

Our seasoned data analytics and BI team leverages Azure’s advanced tools and frameworks to deliver high-impact solutions tailored to your business needs.

Discovery phase

Business objectives
Stakeholder interviews
Analyze data sources
Project scope and goals

Data strategy & plan

Develop a data strategy
Design data architecture
Select Azure services
Project roadmap

Data integration &prep

Integrate data
Cleanse & preprocess it
Data quality & consistency
Set up data pipelines

Data analysis, model

Exploratory data analysis
Predictive models
Data visualization
Validate analytical models

Implement & deploy

Deploy data analytics solutions
Configure dashboards
Secure data access
Monitor performance

Testing & optimization

Testing and validation
Optimize data models
Compliance & governance
Performance tuning

Maintenance &support

Updates & enhancements
Monitor performance
Ongoing technical support
Implement user feedback

Multiple benefits of data visualization

Simplified & quick analysis
Enhanced decision-making
Early pattern recognition
Real-time monitoring
Timely risk aversion
Increased engagement

App modernization success stories

CASE STUDY

Navigating Azure migration for enhanced business efficiency and growth

Explore our partnership with Skytech Control as we successfully migrated and modernized their complex asset management system to Azure’s serverless architecture. This case study delves into the innovative solutions and strategic insights that significantly enhanced operational efficiency and scalability.

Thanks to CIGen, we reduced our technical debt and received ample support for their strategic technical initiatives. The team has a great project management approach and always aims to improve their partnership with us. Moreover, their members are proactive and highly skilled.

Karl Otto Aam
CTO at Skytech Control

Let's build a new culture of quality in your company together

Contact us