Providing more timely, relevant, and accurate information is a top priority for CIOs and other executives dealing with the uncertainty of the global economic environment. Many organizations in both the private and public sectors are embracing business intelligence as a strategic IT initiative to help move their enterprise forward.
Delivering Business Value
BI tools are commonly used to streamline the process of creating management reports. Although reducing the time and expense of creating reports and lowering TCO is important, using BI to increase revenue, lower cost, preserve cash, and better acquire, keep, and grow the customer base is where the real value of these tools lies. Today packaged analytics applications provide prebuilt business metrics, dashboards and reports, and integrations based on industry best practices.
Making BI Pervasive
Numerous studies have shown that in most organizations, BI penetration of the potential community of users is less than 20 percent. The challenge for IT is to provide innovative ways to make BI easy, accessible, and actionable for end users. Advances in BI technology that are helping to increase user adoption include advanced visualization and integration with search engines, as well as embedding BI in applications and business processes.
BI Tool Consolidation
In many large organizations, BI tools have proliferated in a decentralized, departmental fashion. This often results in information silos that inhibit organizational alignment, yield inconsistent information, and drive up total cost of ownership. By consolidating on common BI technology standards, organizations can reduce the costs of training, system maintenance, redundant software license and maintenance agreements, hardware redundancy, and other variables that impact TCO. You can also centralize business rules, metrics, definitions, and user-access privileges so information is more accurate, consistent, and secure.
A successful BI implementation can deliver increasing levels of value. Most organizations begin by using BI tools to make enterprise reporting and analysis more efficient by reducing the time and expense required to deliver critical information. BI can deliver even more value when it is used to make the organization more effective through better business processes and better alignment of business goals and plans. The greatest level of value comes when BI initiatives drive business transformation by helping identify new customer segments, new markets, and new business models.
This past year, big data emerged front and center in enterprise IT. It’s time to look at 2013 and the trends, solutions, and technologies that will be at the top of every CIO’s to-do list.
An overview of how to build a big data platform, and how Oracle's big data solution, appliance, and in-database analytics can help an enterprise achieve its goals.
Simplifying IT can result in lower costs, optimized infrastructure, accelerated performance, faster access to information, and many more benefits.
Radically rethink traditional data warehouse and database processing approaches to achieve more efficient, productive, and cost-effective daily operations.
A Winter Corporation independent report, sponsored by Oracle, reviews requirements and approaches to providing enterprise products for big data.
Watch the Big Data Online Forum to learn the essentials of big data – from the technology underlying it to real-world use cases.
Key Energy Services accelerates interactive dashboard creation for more than 350 business users, relying on Oracle Business Intelligence Enterprise Edition for faster data delivery.
Are you missing significant revenue opportunities by failing to optimize data management? Read the summary of From Overload to Impact: An Industry Scorecard on Big Data Business Challenges
Combining big data tools with traditional data management offers a fast, reliable, and cost-effective way for enterprises to get a complete view of their business. Learn more »
This first video in the series explains why big data is important, why it can add value to enterprises, and outlines potential strategies for enterprise implementation.
Apache Hadoop has two main components: a distributed file system and a MapReduce programming framework. Learn what they do and how your organization may be able to use them.
What you need to acquire for big data depends on the kind of data itself and how you plan to use it. Learn about Oracle NoSQL Database and Hadoop Distributed File System.
Now that big data has been acquired, it needs to be organized so it's ready for the data warehouse. See how that can be done with Hadoop, and how Hadoop can handle potential integration difficulties.
Big data analysis is different. Learn why and see how to use statistical analysis to generate new insight and new value to the business, answering not just what happened, but why.
Oracle leads the way in helping organizations connect performance metrics with financial and operational plans, and embed analytics into core business processes. Learn more »