Services

Data Management and Cleanup

Identifying accounting/bookkeeping issues and discrepancies: Addressing the accuracy and completeness of financial data by identifying and resolving discrepancies in accounting and bookkeeping records.

Siloed data integration (Excel files, databases, applications): Streamlining and consolidating disparate data sources to create a unified and accessible data repository that enables informed decision-making.

Enhancing/simplifying data infrastructure: Assessing and optimizing the existing data infrastructure to improve efficiency, reduce complexity, and ensure scalability for future growth.

Data Analysis and Visualization

Data analysis: Working closely with clients to understand their business needs and objectives, applying advanced statistical techniques and machine learning algorithms to uncover hidden patterns, trends, and insights that inform decision-making and drive growth.

Custom reports: Creating tailored reports that highlight the most relevant and actionable insights from data, ensuring informed decision-making. Reports can be generated in various formats, such as PDF, Excel, or PowerPoint, and designed to meet unique specifications.

Interactive dashboards: Designing and developing user-friendly, interactive dashboards that enable the exploration and monitoring of key performance indicators (KPIs) and metrics in real-time. Dashboards can be accessed on any device and customized to display the most relevant information, utilizing business intelligence tools like Stimulsoft, PowerBI, Tableau, and others.

Data Acquisition and Lead Generation

Location-based lead generation: Employing advanced geospatial analysis techniques and leveraging resources such as Google APIs and mapping applications to identify and target high-potential leads within specific geographic regions. This approach allows for the optimization of marketing efforts and maximization of return on investment while delivering business intelligence data in a geospatial format with metadata attached.

Web scraping: Extracting valuable information from websites and online sources, enabling businesses to gather data for competitor analysis, market research, or other strategic purposes. This data can be further enriched with geospatial metadata for enhanced insights and decision-making.

Cloud Data Solutions

Cloud data infrastructure: Designing and implementing secure, scalable, and cost-effective cloud-based data storage and processing solutions, enabling businesses to access and analyze their data from anywhere while reducing the complexity and overhead of managing on-premises infrastructure.

Data integration and API connectivity: Seamlessly integrating data from various web and application APIs, as well as production/transactional databases, to create a dynamic and comprehensive cloud data solution in a data warehouse or lakehouse format.

Cloud data pipelines and ETL: Building robust and efficient data pipelines using Extract, Load, Transform (ELT) processes to move and transform data autonomously within Amazon Web Services (AWS) and Microsoft Azure environments.

Data lakes and lakehouses: Developing and maintaining data lakes and data lakehouses in the cloud, providing scalable and flexible data storage solutions that cater to the evolving needs of businesses and support advanced analytics capabilities.