Our solutions Infrastructure and Tech Stack
Data Analytics Platform
We utilize comprehensive data analytics platforms that enable the creation of interactive reports and visualizations. These platforms seamlessly integrate with databases, local files, Microsoft products, Salesforce, and cloud-based storage and data warehouses. They offer a wide range of data cleaning, preparation, and monitoring abilities to prepare the data for the next step (visualization), empowering us to derive insights and make informed decisions. Examples include Power BI and Tableau.
Data Visualization Tools
Data visualization tools are crucial for presenting the outcomes from the Data Analytics Platform in the most reliable and efficient way. They allow clients to interact with dashboards from diverse data sources, facilitating data exploration and decision-making. Examples include Power BI, Tableau, IBM Cognos, Google Looker, and programming languages for advanced custom visualizations.
AI and Machine Learning Frameworks
We leverage advanced AI programming libraries such as TensorFlow, Scikit-learn, Keras and PyTorch, for enhanced analytics and automation processes. TensorFlow, developed by Google, is widely used for deep learning tasks, while Scikit-learn offers a user-friendly interface and supports various machine learning algorithms for classification, regression, clustering, and more. Using these tools with Python, we create advanced AI-powered solutions for our clients.
Workflows Automation
Automate workflows efficiently with Power Automate and Zapier. Power Automate offers seamless integration with Microsoft 365, enabling the automation of repetitive tasks and the creation of complex workflows. Zapier connects over 7,000 apps, allowing for the automation of tasks across various platforms without extensive coding. Together, these tools enhance efficiency, reduce errors, and boost productivity, providing scalable automation solutions for evolving business needs
Advanced Reporting
There are numerous ways to automate the reporting process, from exporting simple Excel sheets to PDF files to creating advanced systems that integrate with client systems. With just a few clicks, clients get the exact data and well-designed reports they need. Tools such as Power BI, Crystal Reports, and SSRS (SQL Server Reporting Services) enable the creation of sophisticated and customizable reports. Power BI and Crystal Reports offer extensive features for detailed insights and data visualization, while SSRS integrates seamlessly with SQL Server databases, providing powerful reporting capabilities.
Spreadsheet Data
Organization Platforms
We use Google Sheets and Microsoft Excel for efficient data management and analysis. Google Sheets offers cloud-based collaboration and real-time editing capabilities, while Microsoft Excel provides advanced data manipulation and calculation functionalities. These tools are familiar to managers and top leaders in organizations, and with our high level of proficiency, we handle all client requirements in this regard.
Programming Languages for Data Analysis
Python and R are versatile programming languages widely used for data analysis, statistical modeling, and machine learning tasks. They offer extensive libraries such as Pandas and Scikit-learn, making them suitable for various data manipulation and analysis tasks. For more control and specific customer requirements, we can create custom solutions from scratch using these programming languages.
Statistical Computing Environment
RStudio is a powerful statistical computing environment that provides extensive libraries for statistical analysis and graphics, supporting robust data exploration and modelling processes. This is used for high-end statistical modelling that deeply uncovers data.
