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What is a Data Pipeline?

Insight Software

ETL pipelines are commonly used in data warehousing and business intelligence environments, where data from multiple sources needs to be integrated, transformed, and stored for analysis and reporting. Data pipelines enable data integration from disparate healthcare systems, transforming and cleansing the data to improve data quality.

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Top 10 Reasons to Acquire a Product Information Management Solution (PIM or PXM)

Insight Software

A Centralized Hub for Data Data silos are the number one inhibitor to commerce success regardless of your business model. Through effective workflow, data quality, and governance tools, a PIM ensures that disparate content is transformed into a company-wide strategic asset.

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SAP S/4HANA Cloud Public Edition: Top Migration Challenges and Solutions

Insight Software

However, it also brings unique challenges, especially for finance teams accustomed to customized reporting and high flexibility in data handling, including: Limited Customization Despite the robustness and scalability S/4HANA offers, finance teams may find themselves challenged with SAP’s complexity and limited customization options for reporting.

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Improve Retention by Bridging the SAP-to-Excel Gap

Insight Software

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. Addressing these challenges often requires investing in data integration solutions or third-party data integration tools.

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The New Era of Transparency: Navigating CSRD with insightsoftware

Insight Software

Moving data across siloed systems is time-consuming and prone to errors, hurting data quality and reliability. Imagine showcasing not just the environmental impact of your green initiatives, but also the cost savings they generate, strengthening your investment case.

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Use Angles for SAP to Measure, Analyze and Improve Your OTIF 

Insight Software

KPIs such as efficiency, reducing stock levels, and optimizing logistics costs can conflict with your ambition to deliver on time. Furthermore, large data volumes and the intricacy of SAP data structures can add to your woes. Discover how SAP data quality can hurt your OTIF. Analyze your OTIF. Get a Demo.