[Business Intelligence and Data Mining | Business Performance Management | Government Business Intelligence | Healthcare Business Intelligence | Data Warehousing | Data Quality]
Data quality problems cost businesses billions of dollars each year. Data on customer tastes and habits is being collected at an unprecedented rate. With this glut of data, the chances of problems arising due to misread trends or erroneous data only climb higher and higher. Just recently, quality of data has become an important issue for industries that must conform to government trade regulations. A reliable data quality solution not only delivers hard numbers and analyses, but does so in a manner that is verifiable and consistent.
Data quality problems can undermine even the most thoroughly-developed business intelligence infrastructure. Quite often, companies that are in the initial stages of using business data to their advantage rely on their IT staff to handle data gathering and analysis. Without the specialized knowledge and focus that is necessary for top-notch data quality control, any data you attempt to gather and analyze is easily compromised.
Sound Data Quality Results
Software suites that promise useful business intelligence data are often susceptible to problems caused by low data quality. Automated data collection may save time initially, but this time saved will not make up for lost revenue due to missteps caused by misinterpreted customer or sales data. Implementing a data quality solution can help increase long-term data quality and provide data analyses that are not only tested, but also repeatable.
The Business Intelligence Network provides you with the newsletters, reports and articles useful to anyone concerned about data quality. Our team, made up of industry experts, will help keep you up to date on the latest issues regarding regulatory compliance and the many other facets of business intelligence. We also provide informative web seminars to help give you the knowledge you need to keep your business on the leading edge.