Tag Archives: knowledge
I regularly receive questions regarding the types of skills data quality analysts should have in order to be effective. In my experience, regardless of scope, high performing data quality analysts need to possess a well-rounded, balanced skill set – one that marries technical “know how” and aptitude with a solid business understanding and acumen. But, far too often, it seems that undue importance is placed on what I call the data quality “hard skills”, which include; a firm grasp of database concepts, hands on data analysis experience using standard analytical tool sets, expertise with commercial data quality technologies, knowledge of data management best practices and an understanding of the software development life cycle. (more…)
This article is one of a series on the topic of Knowledge Transfer, Best Practices, Training and Certification within the Data Integration community. Click here for an overview of the series.
Data Integration is a high growth software industry. Gartner recently published a new research report looking into the enterprise software market (“Forecast Analysis: Enterprise Infrastructure Software Worldwide, 2009-2014, 2Q10 Update”, July 16, 2010). The report states:
The infrastructure market, which includes all the software to build, run and manage an enterprise, is the largest segment in terms of revenue and the fastest-growing through the forecast period at 5.8% CAGR. The hottest markets in this segment are security (10% CAGR), data integration and data quality (9.4% CAGR), business intelligence (8.2% CAGR) and virtualization (7.1% CAGR). (more…)