Data Analytics & BI Solutions

It depends on your needs and budget. Power BI is great for Microsoft ecosystem users with affordable pricing. Tableau offers powerful visualizations but is pricier. Metabase is open-source and cost-effective for startups. Looker excels for embedded analytics. We help you choose based on your data sources, user count, budget, and technical requirements.

Yes! We integrate with most common data sources including PostgreSQL, MySQL, MongoDB, Salesforce, Google Analytics, HubSpot, Shopify, custom APIs, spreadsheets, and more. If your data source has an API or database connection, we can integrate it. Complex legacy systems may require custom ETL development.

Basic dashboards take 2-3 weeks, standard analytics projects take 4-6 weeks, advanced BI solutions take 8-12 weeks. Timeline depends on data source complexity, number of dashboards, ETL pipeline complexity, and stakeholder availability. We provide a detailed timeline after assessing your requirements.

Ongoing costs include: BI tool subscriptions (Power BI from Tool licensing and infrastructure costs vary. based on usage), and optional maintenance support ( Please contact us for detailed pricing. Open-source tools like Metabase reduce license costs significantly.

Yes! After final payment, you own all dashboards, data models, ETL scripts, and documentation. We deliver everything via your BI tool workspace, GitHub repository, or documentation portal. You have full rights to modify, extend, or hire others to work on it. We provide clear documentation for your team.

Yes, but it requires advanced infrastructure. Real-time dashboards need streaming data pipelines (Kafka, Kinesis), real-time databases (ClickHouse, TimescaleDB), and specialized BI tools. This is typically part of BI Advanced or Enterprise packages. We assess your data volume, latency requirements, and budget to recommend the right architecture.

Data quality issues are common! We include data profiling and basic cleansing in all packages. For significant data quality problems, we recommend our Data Quality Framework add-on. This includes data validation rules, automated cleansing, duplicate detection, and monitoring. Clean data is crucial for accurate analytics.

Yes! We provide training on how to edit dashboards, add new visualizations, and create reports. With tools like Power BI or Tableau, your team can self-serve analytics. We document all data models and provide best practices guides. For complex changes or new ETL pipelines, we offer ongoing support packages.

All packages include 30 days of free updates and bug fixes. After that, we offer monthly maintenance packages starting at Ongoing support available on request. reports, data source additions, performance optimization, and technical support. Annual contracts get discounted rates.

Yes! We build embedded analytics solutions where dashboards appear inside your web app or mobile app. This involves API integration, SSO authentication, and white-labeling. Particularly useful for SaaS products wanting to provide analytics to customers. This typically requires the BI Advanced or Enterprise package.