by Angela Guess
Loraine Lawson recently reported on how good data management has been linked to better performance of data applications. She writes, “Primarily, when you think about data integration you think about, well, data – not the applications. In part, that’s because the way data is processed tends to separate out the two — you pull the data into a data warehouse, data mart, or whatever (hence, the ‘extract’ in ETL) — and then you do whatever it is you want to do and you load it. But it’s not really so cut and dried, is it? Applications are intimately tied to data creation and use. What’s more, a recent study by Ovum found that good data management may be critical to the performance of your applications.”
Lawson continues, “Ovum surveyed IT executives at 146 large enterprises in North America, Australia and the UK on application performance and management. The survey points to a strong connection between bad management of data and problems with applications. Specifically, 85 percent of the companies complained of application performance problems and the leading culprits trace back to bad data practices such as a lack of standardization, inadequate archiving practices and too many point interfaces. The study also found that 20-30 percent of data is duplicated across applications, which increases application maintenance costs and creates problems for data migration, synchronization and retention.”
photo credit: William Hook
