Data & Analytics.

Codelaro provides custom data analytics development services, including business intelligence dashboards, interactive data visualization, automated reporting, data integration, database-driven analytics, and custom reporting applications. We develop solutions around your available data, reporting requirements, and existing business systems.

Yes. We design and develop custom analytics dashboards tailored to your business requirements. Depending on your available data, dashboards can include performance indicators, interactive charts, tables, filters, reporting tools, and user-specific views. We work with you to identify relevant metrics and determine how information should be presented to support your operational needs.

Business intelligence generally focuses on organizing, visualizing, and reporting business information to help organizations understand their operations. Data analytics is a broader discipline that involves examining data to identify patterns, investigate questions, and support decisions. Our development services focus on building the technical systems, dashboards, and reporting workflows needed to make relevant business information accessible.

Yes. We can develop integrations that collect and organize information from compatible databases, applications, APIs, and other supported data sources. Depending on your requirements, this may involve consolidating information into an existing database, developing automated synchronization workflows, or creating a dedicated reporting data structure. We assess the available integration methods and data quality before implementation.

Yes. We can develop automated reporting workflows that reduce repetitive data collection and manual report preparation. Depending on your requirements, reports may be generated from supported databases and applications, prepared according to defined schedules, and distributed through compatible communication services. We evaluate your current reporting process before determining an appropriate automation approach.

Yes. Where the application and underlying data sources support it, we can develop dashboards that display frequently updated or real-time information. The implementation may involve APIs, WebSockets, scheduled updates, or other suitable data delivery methods. Actual update frequency depends on the source systems, infrastructure, application requirements, and available integration capabilities.

Yes. We can develop custom reporting dashboards for financial, sales, and operational information based on your available data and defined reporting requirements. Depending on the project, dashboards may display revenue trends, transactions, performance indicators, activity summaries, and other relevant metrics. We establish calculation rules and data definitions during planning to help ensure consistent reporting.

Our development stack includes technologies such as PostgreSQL, MySQL, MongoDB, Python, SQL, React, TypeScript, and Node.js. Depending on your requirements, we use suitable charting libraries, APIs, and automation tools to develop data processing workflows and reporting interfaces. Technology selection depends on your existing systems, available data, expected usage, and application architecture.

We begin by defining the relevant data sources, reporting requirements, and calculation rules. Depending on the project, we implement appropriate data validation, error handling, reconciliation checks, and testing against representative records. Reporting accuracy also depends on the quality and completeness of the original data, so existing data issues may need to be addressed before reliable reporting can be established.

Yes. We can develop reporting applications with authentication, role-based access controls, and user-specific permissions. Depending on your requirements, different teams or employees can be given access to relevant dashboards, reports, or underlying information. We define access rules and data visibility requirements during application planning.

Yes. We can integrate custom analytics and reporting functionality into compatible existing websites, SaaS platforms, administrative dashboards, and business applications. Depending on your architecture, integration may involve connecting to existing databases, consuming supported APIs, or developing additional backend services. We assess the current system before recommending an implementation approach.

Yes. We can review your existing spreadsheet-based reporting processes and develop applications that organize relevant information, automate supported calculations, and provide centralized reporting interfaces. Depending on your requirements, we may also integrate existing databases or introduce structured data storage to reduce repetitive manual processing.

We consider data security throughout analytics application planning and development. Depending on project requirements, this may include authentication, role-based permissions, secure API communication, controlled database access, and appropriate handling of sensitive information. Projects involving regulated information or specialized compliance requirements may require additional security and regulatory assessments.

Development timelines depend on the number of data sources, existing data quality, reporting complexity, required integrations, dashboard functionality, and testing requirements. A focused dashboard connected to an existing database may require less development time than a comprehensive analytics platform that consolidates several disconnected systems. We assess your requirements before proposing a development timeline.

The cost depends on your data sources, integration requirements, database architecture, reporting complexity, dashboard design, and ongoing support needs. Projects involving extensive data transformation, complex calculations, or multiple integrations generally require additional development effort. After reviewing your requirements, we can outline the proposed project scope and estimated development cost.

Yes. Depending on the agreed support arrangement, we can provide ongoing maintenance, reporting improvements, integration updates, database optimization, and additional dashboard functionality. Analytics applications may require changes when business processes, reporting requirements, or connected data sources evolve. We discuss these responsibilities during project planning.