Experts agree that in order to fully leverage business intelligence (BI) tools and big data solutions, enterprises need to reduce the burden on IT staff by integrating these technologies for more affordable, effective data management.
Kevin Lancaster, big data and business analytics director for Engineered Systems at Oracle EMEA, told ITWeb that data warehouses are required to handle an increasingly demanding, varied workload with more concurrent users. Real-time analytical updates are critical to effective BI initiatives, and the data warehouse can no longer depend on a small number of analysts. He explained to the source that enterprise IT teams with low budgets and a dependency on agility are increasingly overwhelmed by demands for big data analysis and mobile BI.
"The challenge is not the availability of all these technologies, but figuring out how to bring them together efficiently, with minimal disruption to the business, and in an easy-to-manage, cost-effective way," he told the news source.
Oracle has provided a solution to these challenges by merging technologies into pre-integrated, pre-configured platforms that can be quickly deployed and managed on a limited budget. Lancaster suggested to the news provider that enterprises need an information architecture that is flexible enough to adapt to changing technological demands, handle data expansion and incorporate new tools on an as-needed basis.
Efficiency drives intelligence
A recent Aberdeen report revealed that successful analytics initiatives rely on a data-driven environment. Building a high-speed data warehouse that feeds real-time information from a structured and unstructured sources is imperative for enhanced BI analytics. The firm reported that data is growing at an average rate of 56 percent year-over-year. As a result, enterprises will need to seek database administration services to automate the capture, classification, indexing and cleansing of inbound information. Aberdeen research determined that firms considered best in class were able to improve productivity through advanced BI programs. These enterprises spend 27 percent less time searching for data, and typically completed data-related tasks 16 percent faster.
By deploying an integrated information strategy, enterprises can build a more organized database, which fuels a more effective analytic engine.
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