Sound Return On Investment With Data Warehousing Solutions

Hundreds of major companies around the world useskew or obfuscate meaning in the reporting and
data warehousing solutions to get a single, integratedanalytic outputs of databases, reporting tools,
view of their business to enhance decision-making,dashboards and scorecards. When people talk about
customer relationships, and profitability. Given thean enterprise data warehousing, they certainly
prominent role it plays in its customers’understand the concept of everyone in the
businesses, the reliability and security of its softwareenterprise should be able to access all the data in the
is truly mission-critical. The need of the hour is aenterprise.
relational database management system that isWhen you work within the Data Warehousing arena,
linearly and predictably scalable in all dimensions of awhat most people start off with is trying to
database system workload (data volume, breadth,generate reports for their end-user community. This
number of users, and complexity of queries),seems fairly easy if one can take the data, format it
explaining its popularity for large enterprise dataand push an answer set to the end-user, to an Excel
warehouse applications.sheet, or to a prepackaged paper packet or a
If there is a single pitfall that undermines any givencomputer. So, essentially the data is being pushed out
data management initiative, it is most likely to beto where it’s being used. What’s most
found in the realm of data quality, which is aeffective is when people can take their questions and
requirement for sound decision-making. Whether inbring them to where the data is. So, rather than
combination or by themselves, databases are almostmoving data, processes are being moved. Because
certain to contain entry errors, multiple commonmoving data costs a lot of money, takes a lot of
entries and other redundancies that inevitably lead totime, adds a level of security breach apart from
incorrect or incomplete identifications of customers,creating confusion. Hence it’s always better to
products and locations. Thus, data quality is a criticalbring the data together once, and allow people to
prerequisite to any BI initiative that would otherwiseaccess that data with their processors.