Artificial intelligence (AI) and cloud are top trends impacting master management (MDM) now and into the year ahead, as organisations turn their attention to data quality and management to support areas such as
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As the need for effective data governance becomes more and more critical, we are seeing many organisations battling to get traction on their data governance initiatives. This is not uncommon as, depending on
This article is part of a three-part series which addresses the end-to-end process of improving Master Data, from the perspective of a Data Analyst. This series covers the following topics across three articles:
This article is part of a three-part series which addresses the end-to-end process of improving Master Data, from the perspective of a Data Analyst. This series covers the following topics across three articles:
This article is part of a three-part series which addresses the end-to-end process of improving Master Data, from the perspective of a Data Analyst. This series covers the following topics across three articles:
"Big Data" has fast moved from being a buzzword to being used and understood as a business asset. An asset, when linked with effective management and rigorous data analysis, drives informed decision-making, increases
Organisations are realising that the negative impacts of unreliable data about core business entities such as customers, suppliers, employees, materials and products are inhibiting their attempts to cut costs, boost revenue or meet
Over the course of 2010, data quality management company InfoBlueprint noticed an increased focus by South African corporates on data management, a term which was traditionally associated with primarily data storage and life
For a strategic BI initiative, it is critically important at the outset to understand the relationships between data quality, data governance and master data management. While there is much theory around these subjects,
Recently in information management discussions there has been a lot of talk about the measurement of data quality. Some often see this as a good way to highlight just how bad their data
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