Jet Global

APRIL 14, 2022

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Data Collection 52

Data Collection Management Finance Reporting 52

Jet Global

FEBRUARY 20, 2024

Inconsistent Data Drags Your Decision-Making Down With cloud migration and digital transformation fueling the drive for optimized supply chains, any lingering data management struggles become glaring bottlenecks. Many operational reporting teams remain buried under static PDF reports or rigid native ERP functionalities.

Operational Reporting 52

Operational Reporting Reporting Digital Transformation Optimization 52

Jet Global

AUGUST 5, 2022

Because ERP-native reporting tools require finance and accounting professionals to rely on IT departments and consultants, generating key reports saps time away from an organization’s ability to investigate and interpret information. Drill down on data. Easily track performance. Close the books faster.

Reporting 52

Reporting Finance Operational Reporting Consulting 52

Jet Global

MARCH 22, 2023

By leveraging technology that automates tax data collection and processing, your team can produce more accurate reports, reduce risk, and free up time to focus on more strategic initiatives. Generate custom reports based on key metrics and strategic goals for your company.

Reporting 52

Reporting Software Risk Enterprise 52

Jet Global

OCTOBER 4, 2022

By integrating a tax system , like Longview, with your existing enterprise resource planning tool (ERP) you can significantly decrease tax reporting time by automating data collection and aggregation.

Visualization 52

Visualization Reporting Forecasting Dashboards 52

Jet Global

NOVEMBER 29, 2023

Extensive Data Integration. Users love our prebuilt integrations which cover many ERPs saving valuable time and effort during implementation. Tax Reporting Longview Tax is a comprehensive tax automation solution designed to streamline and optimize the tax lifecycle for businesses.

Reporting 52

Reporting Marketing Software Management 52

Jet Global

MAY 9, 2024

Batch processing pipelines are designed to decrease workloads by handling large volumes of data efficiently and can be useful for tasks such as data transformation, data aggregation, data integration , and data loading into a destination system. What is the difference between ETL and data pipeline?

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52