DataRobot Blog

APRIL 1, 2018

In Rita Sallam’s July 27 research, Augmented Analytics , she writes that “the rise of self-service visual-bases data discovery stimulated the first wave of transition from centrally provisioned traditional BI to decentralized data discovery.” We agree with that.

Analytics 40

Analytics IoT Internet of Things B2B 40

Jet Global

SEPTEMBER 26, 2023

Data Cleansing Imperative: The same report revealed that organizations recognized the importance of data quality, with 71% expressing concerns about data quality issues. This underscores the need for robust data cleansing solutions.

Data Quality 52

Data Quality Reporting Management Software 52

Jet Global

AUGUST 24, 2023

Your Tool for a Smooth Cloud Migration A multi-source reporting tool like Angles for Oracle is essential for finance teams operating in a hybrid ERP environment on route to cloud migration. Encryption ensures that sensitive data remains unreadable and protected from unauthorized access during data integration and transfer processes.

Finance 52

Finance Reporting Data Integration Risk 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. The company employs data mapping to align customer information from different sources (e.g.,

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 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. How is ELT different from ETL?

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 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

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