Jet Global

MARCH 4, 2024

Data inconsistencies become commonplace, hindering visibility and inhibiting a holistic understanding of business operations. This lack of integration makes it difficult to track progress, measure performance, and identify potential issues. Data governance and compliance become a constant juggling act.

Management 52

Management Data Governance Reporting Software 52

Jet Global

FEBRUARY 23, 2024

Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. What are the steps of data mapping?

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

OCTOBER 26, 2023

If your finance team is using JD Edwards (JDE) and Oracle E-Business Suite (EBS), it’s like they rely on well-maintained and accurate master data to drive meaningful insights through reporting. For these teams, data quality is critical. Inaccurate or inconsistent data leads to flawed insights and decisions.

Data Quality 52

Data Quality Reporting Operational Reporting Finance 52

Jet Global

MARCH 14, 2024

Jet streamlines many aspects of data administration, greatly improving data solutions built on Microsoft Fabric. It enhances analytics capabilities, streamlines migration, and enhances data integration. Through Jet’s integration with Fabric, your organization can better handle, process, and use your data.

Analytics 52

Analytics Management Reporting Enterprise 52

Jet Global

MARCH 13, 2024

Free your team to explore data and create or modify reports on their own with no hard coding or programming skills required. Data Quality and Consistency Maintaining data quality and consistency across diverse sources is a challenge, even when integrating legacy data from within the Microsoft ecosystem.

Reporting 52

Reporting Finance Data Quality Sales 52

Jet Global

OCTOBER 11, 2023

Another hurdle is the task of managing diverse data sources, as organizations typically store data in various formats and locations. Ensuring that embedded analytics can access and analyze data from these multiple sources can pose a substantial technical difficulty, requiring powerful data integration capabilities.

Dashboards 52

Dashboards Data-driven Software Reporting 52