Best Reconciliation Software for PostgreSQL

Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.

We automate your financial data and provide you with actionable intelligence. HubiFi's fully-automated accounting and continuous reconciliations integrated with the tools that you use allow you to close a accounting period in just hours, instead of weeks. Integrate with popular accounting software, CRMs, ERPs and ERPs. Audit trail and lineage of all modifications and reports, from the report summary to the operational record. You'll never hear the phrase "data needs to settle". Real-time visibility of the company's financial results allows finance leaders to take advantage of growth and revenue opportunities instead. You'll also stay GAAP compliant. Answer questions immediately by drilling down into the data. Generate real-time financial reports. Monitoring and alerting within the month. Integrate with multiple financial and operational systems, data sources and other tools.