Business Intelligence Data Analytics Data Warehouse IBM Expert 
Insight Software
MAY 9, 2024
Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.
Insight Software
JULY 27, 2022
As Business Intelligence (BI) tools, data warehousing solutions, and enterprise data and application landscapes have advanced, it’s worth taking the time to rethink that old model, starting with the dichotomy between operational reporting (OR) and strategic analytics.
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Insight Software
SEPTEMBER 30, 2022
What are the best practices for analyzing cloud ERP data? How can we respond in real time to the company’s analytic needs? Data Management. How do we create a data warehouse or data lake in the cloud using our cloud ERP? How do I access the legacy data from my previous ERP? Self-service BI.
Insight Software
NOVEMBER 15, 2022
Accuracy will be maintained with painful manual data extraction/validation processes. Adopting cloud-friendly tools helps to mitigate challenges of moving to the cloud – solutions like data warehouses can store your legacy data while making it easy to access from cloud EPM systems. Schedule a demo to learn more.
Insight Software
JULY 6, 2022
Data discovery, also known as data analysis for business users, is one of the top business intelligence trends for 2022. Let’s take a look at how industries like yours are making use of data analytics tools to find patterns and derive insights from data. What to expect.
Insight Software
JANUARY 3, 2023
This was bolstered by insightsoftware’s acquisition of Dundas Data Visualization, Inc., adding deeper functionality that has strengthened Logi’s self-service data analytics and visualizations. We’ve made several acquisitions in the embedded analytics family recently, including Izenda and Exago. What to expect.
Insight Software
MARCH 23, 2023
Organizations are promised a ‘one size fits all’ tool that will allow users to ‘drag n drop’ their way to data fluency. Some organizations tightly control access to their data, which can frustrate users who want to run their own queries to combine data sets or create dashboards from a single set of data.
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