Data Management Data Quality Data Warehouse Embedded Analytics 
Domo
JULY 8, 2021
It’s also important to think about how you’re going to manage your cloud vendors/providers. In order to manage your infrastructure such as networks, storage, services, data management, and virtualization, you’ll likely be working with several cloud providers, including cloud data integration and cloud BI providers.
Insight Software
MARCH 4, 2024
Navigating the Data Maze: Challenges in the SAP Landscape For SAP users, data management can feel like a labyrinth, fraught with obstacles and frustrating dead ends. The burden of manual data entry looms large, with endless spreadsheets consuming valuable time and resources. Want an extra layer of assurance?
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Insight Software
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.
Insight Software
OCTOBER 4, 2023
Addressing these challenges often requires investing in data integration solutions or third-party data integration tools. Excel-based SAP tools can automate data entry, report generation, and other routine activities, allowing financial professionals to focus on more strategic and rewarding aspects of their roles.
Insight Software
AUGUST 24, 2023
Real-time data availability ensures that critical decision-making processes are not hindered by data transition activities Angles is also built for today’s cloud-first IT, with support for hybrid deployments that offload processing from the primary database to a Microsoft Azure or Snowflake data warehouse.
Insight Software
FEBRUARY 23, 2024
The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.
Insight Software
JULY 17, 2023
One of the major challenges in most business intelligence (BI) projects is data quality (or lack thereof). In fact, most project teams spend 60 to 80 percent of total project time cleaning their data—and this goes for both BI and predictive analytics.
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