Data Pine
FEBRUARY 17, 2023
2) What Is Embedded BI? 3) The Link Between White Label BI & Embedded Analytics 4) An Embedded BI Workflow Example 5) White Labeled Embedded BI Examples In the modern world of business, data holds the key to success. In fact, poor data quality management currently costs businesses a combined total of $9.7
Sisense
FEBRUARY 10, 2021
The old adage “garbage in, garbage out” rings very true when it comes to data analysis, and we had to do a number of things to verify that the data entering the Cascade Insight platform was clean. It started with implementing data validation rules, including basics like only accepting numbers for numerical inputs, etc.
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Data Pine
NOVEMBER 27, 2019
Businesses of all sizes are no longer asking if they need increased access to business intelligence analytics but what is the best BI solution for their specific business. Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story.
Insight Software
MARCH 4, 2024
Reduce Your SAP Data Processing Times by 90% Download Now Take Control of Your SAP Data Governance with Easy Workflow Easy Workflow is your ticket to effortless data governance. Here’s how it empowers you: Clean and Validated Data : Easy Workflow enforces data quality through automated validation rules.
Insight Software
OCTOBER 4, 2023
Finance teams are under pressure to slash costs while playing a key role in data strategy, yet they are still bogged down by manual tasks, overreliance on IT, and low visibility on company data. This expansion of responsibilities is exacerbating the well-documented trend of finance team burnout, leading to undesirable turnover.
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
SEPTEMBER 1, 2023
While predictive analytics might seem like a no brainer inclusion for application teams, it’s worth noting the risks. These include data privacy and security concerns, model accuracy and bias challenges, user perception and trust issues, and the dependency on data quality and availability.
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