By TammyBednar on Jan 17, 2014
Tammy Bednar, Will Hutchinson, Rob Klaassens, and Mike Mrazek, Oracle Corp.
Oracle and industry analysts have seen a rapid expansion of business intelligence and data warehouse solutions into midsize and smaller organizations. The need to understand how they are serving their customers, how their suppliers are serving them and the opportunity to drive growth and cost reductions requires insights into data. ERP, Performance Management systems and CRM/CX systems are great way to collect data but do not provide and easy and flexible way to combine data from multiple sources for indepth analysis.
Traditionally, midsize and smaller organizations have relied on spreadsheets or downloads of data to a personal database to meet these needs. However these solutions do not scale and suffer from problems of inconsistent data, errors, manual work and non-repeatable processes for gathering and analyzing data, leading to the inability to respond quickly. In the past, these organizations have not invested in business intelligence because the perception was that a Business Intelligence or Data Warehouse Strategy was too expensive to install and maintain. One would have to buy and configure hardware, a database, BI and ETL tools, and other middleware. The time, effort and cost to support these types of solutions would typically overwhelm most midsize IT staffs. Also, deploying these systems can cost several hundred thousand dollars over five years, after taking into account both out of pocket costs and the time the staff spends on BI, time which if it were available could effectively be spent elsewhere.
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