How Service-as-a-Software Revolutionises Product Data Management

How Service-as-a-Software Revolutionises Product Data Management

by aicadata | Nov 7, 2024 | Cleansing

As many businesses continue to explore the value of Service-as-a-Software (SaaS 2.0), it’s clear that this model is transforming data management, particularly in fields like product data management, inventory control, and procurement.  While our previous article...
Why Data Needs to Be Cleaned Before Transferring from SAP to SAP HANA

Why Data Needs to Be Cleaned Before Transferring from SAP to SAP HANA

by aicadata | Nov 4, 2024 | Cleansing

As companies look to harness the power of modern data management, many are migrating from traditional SAP systems to SAP HANA, SAP’s high-performance, in-memory data platform. This transition promises faster data processing, real-time analytics, and enhanced...
How Clean and Enriched Product Data Can Reduce Downtime for U.S. Companies

How Clean and Enriched Product Data Can Reduce Downtime for U.S. Companies

by aicadata | Nov 4, 2024 | Cleansing

In the United States, operational efficiency is crucial for equipment-intensive industries like manufacturing, energy, and construction, where smooth supply chains and well-maintained machinery are key to success.  Downtime, whether due to maintenance, inventory...
Why AICA Pairs AI with Expert Oversight for Optimal Data Quality

Why AICA Pairs AI with Expert Oversight for Optimal Data Quality

by aicadata | Oct 31, 2024 | Cleansing

At AICA, we leverage cutting-edge AI to handle the heavy lifting in our product data cleansing and enrichment services—achieving up to 90% accuracy. However, we believe that true data quality goes beyond automation, which is why our approach always includes the...
The Importance of Clean Product and Service Data for Middle Eastern Construction Companies

The Importance of Clean Product and Service Data for Middle Eastern Construction Companies

by aicadata | Oct 29, 2024 | Cleansing

Construction companies across the Middle East, from infrastructure projects to residential developments, handle extensive volumes of product and service data daily. However, when this data becomes inaccurate, inconsistent, or outdated—commonly referred to as “dirty...
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