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To what degree do your users trust the data you deliver?
New technologies often change the rules of the game, making it possible for BI teams to address business needs in new and creative ways. BI teams that understand how to harness the power of the cloud, open source, virtualization, and high-performance analytical databases can create new opportunities to serve the business while saving money and time.
Date: 03/31/10
Time: 9:00 am
New technologies often change market dynamics, making it possible for organizations to address business needs in new and creative ways. Today, open source software, analytic databases, and other new technologies are enabling BI teams to deliver new applications that previously weren't possible in a cost-effective way.
Putting data into a database and getting it back out are surprisingly different operations, despite the fact that both rely heavily on the capabilities of a vendor’s database management system (DBMS). Because these are two distinct “database workloads,” the common approach for many years has been to provide separate DBMS instances and server/storage hardware for application databases and data warehousing, each instance modeled and optimized for its primary workload. Yet, there are good reasons why some user organizations should consider consolidating the two database workloads onto a single database platform.
There’s a dizzying array of approaches to master data management (MDM). You can build a solution yourself or acquire one from a vendor. The vendor’s solution may be a dedicated MDM application or a collection of functions within a larger tool. Your MDM solution can manage one data domain (customers, products, financials, etc.) or manage several. Your solution may focus on BI, operational applications, or both. And you could deploy multiple MDM solutions or just one central solution.
You want a complete picture of your company's performance. Yet web analytics shows you only what happens on the surface of your website, not how it affects other parts of the business. And data warehouses are typically focused on core financial and operational transactions without much thought about the online channels needed to manage them.
Many CFOs recognize the need to transform the finance department from a group of back-office accountants who focus on cost control to trusted advisors who deliver insights about how to help the organization achieve strategic objectives and goals. Finance is in a unique position to drive strategy because it gathers data from all departments and lines of business.
There is no question that mainframes continue to serve a wide range of organizations by providing a secure, high-performance, and scalable computing platform that’s hard to match on other systems. The issue comes when you attempt to extend mainframe data or applications to participate in new business applications on so-called open systems. Non-relational data, mainframe COBOL programs, and 3270 screen-based applications are difficult to access from open systems, and this inhibits modern data-driven business practices, like 360-degree views, on demand performance management, just-in-time inventory, business intelligence, and so on.
Change is inevitable. But managing change while still meeting business objectives is THE key to navigating the new economy. Change, whether driven by growth, divestment, or just increased demand for information, is forever evolving and accelerating. Your data warehousing environment needs to accommodate those changes with minimal disruption. How do you achieve high performance yet maintain stability at the same time? How do you minimize disruption to the existing environment when your system needs to grow? What are the characteristics of a sustainable architecture for BI? These are the questions that will be answered in this second of three webcasts.
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