Cloudera
JUNE 2, 2022
In the modern data stack, there is a diverse set of destinations where data needs to be delivered. The newer “extract/load” tools seem to focus primarily on cloud data sources with schemas. Universal Developer Accessibility: Data distribution is a data integration problem and all the complexities that come with it.
CIO Business Intelligence
JULY 13, 2022
In the modern data stack, there is a diverse set of destinations where data needs to be delivered. The newer “extract/load” tools seem to focus primarily on cloud data sources with schemas. Universal Developer Accessibility: Data distribution is a data integration problem and all the complexities that come with it.
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Jet Global
JUNE 17, 2021
Managing Data Integrity. Before rolling the new process out, the company needed to address data integrity, a normal stage in any new software implementation project. Following the data integrity phase, the company focused on setting up the correct processes and on rightsizing the project.
Jet Global
MARCH 20, 2024
Reduced Accuracy and Control: Your team may be forced to rely on outdated or inaccurate data if they lack the ability to build custom reports and verify data integrity. Decision Paralysis: Without access to the right data at the right time, you will struggle to make confident decisions.
Jet Global
NOVEMBER 29, 2023
Extensive Data Integration. Users love our prebuilt integrations which cover many ERPs saving valuable time and effort during implementation. Understanding Our Financial Close and Consolidation Solutions Here are our six tried and tested close and consolidation products that secured us in the Niche Player category.
Jet Global
JUNE 5, 2023
What will help you succeed during these testing times is relying on a single source of truth. By doing so, you’ll be able to optimize your tax technology and processes so you can both spot data insights and mitigate risk. Tax teams that will come out on top of this are those that can adapt quickly and maintain agility in reporting.
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. Data mapping helps standardize, visualize, and understand data across different systems and applications.
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