The result needs to be acceptance of the implied changes by leadership or an adjustment to the EIM architecture. This activity is optional. It will operate in parallel with the other activities in this phase. We refine the data model, and supplement it with additional findings from the Business Metrics and BIR activity. Many times the EIM effort will have material from internal process projects to access, or will be able to proceed with just taking the levers and usage elements, and defining some scenarios or use cases.
Often there are a large number of levers or usage statements. Since these all begin with verbs, they are fair game for a process model. And occasionally there are so many that we need to define new workflows or processes to determine how the organization will exploit all this organized managed data and content. We have had to create or re-define entire IVCs, including specification of all the various processes where business actions are supposed to turn data usage into hard returns. If you are proposing or considering serious internal workflow, content flow, or data processing changes to accommodate IAM, this step is worth a visit.
What if all the people in your organization had access to any content data or information they wanted? Suppose it was all integrated, organized, and perfect in every aspect of quality and usefulness.
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Are your business areas able to state now what would be different? What will happen differently? What processes are improved? What are you actually doing with this managed stuff? You may be surprised at how quiet the room gets. Table Refined Business Model Activity Summary. The business can answer, at least conceptually, how day-to-day activities will reflect where business benefits will happen, and what the managed data and content will look like.
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The EIM team can identify opportunities that require additional clarification. Or the EIM team will see possible situations where EIM directions and current processes create the need to manage changes in the organization more closely. If there needs to be a lot of detail in the processes or a new value chain is defined, trigger the Detailed Scenario activity. It can also occur after the Metrics and BIR model is built, which will improve the data model content. Usually, applicable business and data models are gathered from existing sources. If not, start with prepublished models for your industry.
Determining the level of detail for the final EIM business model s will require discussion within the team. Whereas the preliminary models if addressed in the Vision phase were conceptual, the final models required to support EIM over the long haul will be more detailed. Your data elements and their logical groupings are defined. A detailed model for physical implementation of databases is not required. Process models should also be at a level to capture and maintain the various information usage scenarios EIM will identify.
Many organizations have disparate data models that were developed project by project. You have an opportunity to synthesize an enterprise logical model. Ditto for process models. They should be logical, and can be synthesized or purchased.
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If for some reason you have no process models, then focus your process activities on the IVC activity, and plan a support project to develop a functional process model of the enterprise. Either way, the models are important, as they support many elements of EIM, from the Enterprise DNA, specification of applications, to data lineage and maintaining your BIRs and metrics requirements.
The models are vital tools, but they are not final products of EIM. Do not allow your EIM team to become model focused. The IVCs are, once again, processes, or opportunities for processes, that use data and content to directly meet business goals. Again, data models are easy to spot and a bit large to present with any relevance.
Instead, we selected an example where Farfel levers decomposed into business activities.
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A refined version of Farfel processes was presented in Chapter 7. A sample of the spreadsheet linking possible actions to information use levers is shown later. The processes evolved into the value chain diagrams in Figures Again, watch level of detail. It is not necessary to drive the models deeper and deeper in terms of details. Granted, there is value to this, but not for getting EIM started. If you have absolutely no detailed models and cannot acquire one, then I recommend a spin-off effort to continue with the development of the logical data model paralleling the Architecture phase.
Presenting models merits consideration of the culture and level of leadership of EIM. It is perfectly OK to present a list of logically grouped data elements and their definitions. There is no need to drag a room full of management through Data Modeling Have leadership delegate any detailed review tasks to subject matter experts.
At this point, an EIM leader who is not from IT will need to become familiar with the concept of meta data. The term enterprise DNA is more relevant and contextual to a business participant in EIM, but your EIM team will soon need to develop processes to manage meta data, and even specify tools to manage meta data. This chapter discusses how to set up different penetration test labs and provides scenarios that mimic the real world, giving the opportunity to learn the skills that professional penetration testers use. The general approach for setting up a penetration test lab is determining objectives, designing the architecture, building the lab, and finally running it.
Five specific types of tests are mentioned of which selecting the right one saves time and money.
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Virtualization has now become mainstream in penetration testing and a core technology to be used. Xen and VirtualBox are open source tools that allow virtualization. Because penetration testing can be a dangerous activity, it is important to make sure that the lab is completely isolated, concealed, and security disks are installed. Before finishing the work, documentation of the findings and destruction of the equipment used is essential in order to avoid hostile attacks. Lastly, a real-world case study maps the use of virtual machines and the penetration testing tools to create the lab and start using it in a real-world scenario.
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