DICHIR Analytics Services
We bring all your data together—regardless of structure or format—into a unified, standardized platform that delivers real-time, actionable insights
Features
Are you struggling with spreadsheets, siloed databases, or inconsistent data across departments? Our comprehensive data analytics solution is designed to help you break through these barriers.
We bring all your data together—regardless of structure or format—into a unified, standardized platform that delivers real-time, actionable insights. Say goodbye to outdated reports and hello to up-to-date dashboards that empower confident, data-driven decisions.
With built-in governance tools, our solution simplifies permission management and ensures secure, role-based access to sensitive business data—so the right people see the right data, at the right time.
Make better decisions, faster—backed by clarity, consistency, and control.
Data Sources
DICHIR has extensive experience in working with a wide range of databases and data sources, ensuring seamless integration, management, and analysis of complex datasets. We have successfully handled structured and unstructured data from various platforms, including relational databases such as Oracle, SQL Server, MySQL, and PostgreSQL, as well as NoSQL data sources like MongoDB and Elasticsearch. Additionally, our expertise extends to cloud-based data warehouses, big data platforms, and real-time streaming sources, allowing us to build robust data ecosystems tailored to business needs. With a deep understanding of data governance, security, and performance optimization, we empower organizations to leverage their data efficiently for informed decision-making and innovation.
Schema Inference
DICHIR has deep expertise in schema inference and conversion across diverse databases and data sources, enabling seamless data migration, integration, and interoperability. We specialize in automatically detecting and mapping schemas from structured, semi-structured, and unstructured data, ensuring accuracy and consistency during transformation. Our experience covers relational databases like Oracle, SQL Server, MySQL, and PostgreSQL, as well as NoSQL systems such as MongoDB and Elasticsearch, alongside cloud-based data warehouses and big data platforms. Leveraging advanced algorithms and automation tools, we efficiently convert schemas while preserving data integrity, optimizing performance, and ensuring compliance with industry standards. This expertise allows organizations to modernize their data infrastructure, enhance compatibility, and maximize the value of their data assets.
Data Cleansing
Data cleaning is a critical process that ensures data accuracy, consistency, and reliability for meaningful analysis and decision-making. Our company specializes in detecting and rectifying errors, handling missing values, removing duplicates, standardizing formats, and resolving inconsistencies across various data sources. Using advanced techniques such as automated validation, anomaly detection, and rule-based transformations, we enhance data quality while maintaining its integrity. Whether dealing with structured, semi-structured, or unstructured data from relational databases, NoSQL systems, or big data platforms, our expertise ensures that organizations can trust their data for analytics, reporting, and AI-driven insights. By implementing robust data cleansing strategies, we help businesses unlock the full potential of their information assets.
Insights
The result? Powerful, real-time insights delivered through dynamic dashboards that bring your data to life. With customizable views, visual analytics, and interactive reports, decision-makers gain instant clarity on performance, trends, and opportunities—no more digging through spreadsheets or waiting on monthly reports. Our dashboards are tailored to each role, ensuring everyone gets the insights they need, when they need them.
