With the insight that combining EC with BI capabilities can help provide, I believe enterprise content management (ECM) is probably one of the most critical initiatives that many companies will undertake during the next decade. ECM covers the entire EC life cycle, whether dealing with physical records management or electronic documents and content.
In this column, we describe the BI application development tasks that begin much later in the lifecycle, once real data is available in its final dimensional structure and the BI tool has been selected.
Business people should be eager to dive in and explore the data that represents their business. After all, who knows better what information is needed? Unfortunately, few business people seem to agree. Consider yourself lucky if 10 percent of your users actually build their own reports from scratch.
Particularly, a significant new group of business users—a group I like to call “Go-To Guys”—are in need of analytics tools to tackle daily problems and opportunities. Go-To Guys are the operating managers of company—product managers, sales managers, researchers, engineers and marketers.
During the past six years, our organization has focused on delivering enterprise metadata under a strategy that has served us well. This month I want to do the “Full Monty” and provide a deep dive into the specifics of our strategy.
This second installment of this series will further examine process improvement by incorporating Deming’s 5th Point – Constant Improvement. As with other nonfunctional requirements, such as scalability and throughput, Constant Improvement can be designed into an ETL application. Deming taught manufacturers to build Constant Improvement into manufacturing processes. Constant Improvement can also be built into an ETL application.
Data stewardship can be defined as custodianship of the access, integrity and content of a company’s information. Although many IT authors have preached on the need for sound data stewardship for more than a decade, it always amazes me how many companies haven’t bought into the philosophy. These companies often have no defined data ownership model.
We have the council.
There’s only one problem with the theory: it’s difficult to execute in actual practice. The reason has nothing to do with BI tools themselves, and everything to do with the nature of portals and the applications – such as customer relationship management (CRM), enterprise resource planning (ERP), and your garden-variety databases – that feed them.
However, the key to building a successful enterprise portal that fully integrates BI tools is by first recognizing that the portal is not simply a launching pad. Rather, it allows users to fully manage business applications and transactions from within the portal. Further, it allows end users to access critical business information dynamically and securely across a range of online and mobile devices.
Business decisions often require group interaction and the assemblage of data from multiple sources. The data often is both quantitative and discursive. Even though many companies create and update briefing books to aid decision-making, Ventana%u2019s research shows that the users of these briefing books believe that they are not comprehensive enough. Further, they often distrust the accuracy and validity of the data in them. Ventana Research believes organizations must address the challenges of integrating business data and assuring users of its value.