The mainstay of a corporation is the data that it possesses. By data, I mean its customer base, information about the use of its products, employee roles and responsibilities, the development and maintenance of its product lines, demographics of supporters and naysayers, financial records, projected sales ... It is in the organization of this data that advancements to the bottom line are often realized i.e. the nuggets of gold are found. Defining what is important, properly cataloging the information, developing a comprehensive protocol to access and update this information and discerning how this data fits into the corporate venacular is basis of this data organization and may be the difference between moving ahead of the competition or being the one to fall behind.

Whenever we attempt to develop an Enterprise Rule Application, we must begin by harvesting the data upon which those rules are built. This is by no means an easy feat as it requires a thorough understanding of the business, industry, the players and their respective roles and the intent of the application. Depending upon the scope of this undertaking, it is almost always safe to say that no one individual is completely knowledgeable to all facets needed to comprise the entire application.

The intial stage of this endeavor is, obviously, to decide upon the intent of the application. This requires knowledge of what is essential, what is an add-on and which of all these requirements/options can be successfully implemented in the allotted period of time. The importance of this stage cannot be stressed enough; if the vision/goal cannot be articulated in a manner that all can understand, the knowledge tap will be opened to become the money drain. Different departments may compete for the same financial resources; management may be jockeying for their day in the sun; consulting corporations, eager to win the bid, may exaggerate their level of competency. These types of endeavors require those special skills of an individual or a team of very competent members to be/have a software architect, subject matter expert and business analyst.

Once the decision has been made and the application development stages have been defined, the next step is to determine which software development tools to employ. For the sake of this article, we will assume that the team has chosen an object oriented language such as Java and a variety of J EE components, a relationsional database and a vendor specific BRMS such as Blaze Advisor. Now, onto the point of this article.

Getting involved with the IT, or Internet Technology industry, is a way for you to break into a variety of potential coveted career paths and job openings. Whether you prefer working with the back-end of programming or if you enjoy improve user experience while browsing online, there are many different in-demand IT skills that are useful to obtain today if you are seeking a career in the tech industry yourself.

Cloud Computing

Working with cloud computing, otherwise known as "the cloud", requires you to work within various types of servers that store and access data globally from any location. With the increase in mobile usage, cloud computing is becoming even more prevalent in today's society. When you want to work with cloud computing, understanding the basics of programming and network security is a must. Working in cloud computing is a way to help with building new applications, expanding companies online as well as allowing anyone internationally to locate and access a specific blog, website or mobile app.

UX Design

UX Design is also known as user experience design. A user experience designer specializes in understanding the usability and overall experience a web visitor has when browsing on a site or blog. UX design is essential to ensure that all visitors on a website are capable of navigating the blog properly and accessing the site's content with ease, regardless of the browser they are using or the type of device that is being used to access the site itself. Cross-browser compatibility and ensuring that all websites you are working with are accessible via mobile platforms is another responsibility of many UX designers today. Working in UX design is highly recommended if you believe you have an eye for "good" web design and if you have an interest in improving the overall experience web users for a specific audience have when visiting the blog or website you represent or that you are building for yourself.

IT Security

IT security is one of the fastest-growing positions throughout the entire IT industry and field. IT security requires you to understand network infrastructures as well as how to properly manage each server individually to provide security and protection from potential hackers and online thieves looking to steal sensitive data and information. Maintaining the security of a network and all servers for a company is only becoming more popular with the expansion of mobile phone usage along with the growth of the Internet altogether.

Understanding the variety of IT skills that are in demand today can help you to better decide on a path that is right for you. The more you understand about various IT skills, the easier it is to find a position or career in your future that is most suitable for the type of work you enjoy. Whether you are looking to develop new apps or if you are interested in managing the security of company servers, there are hundreds of positions and skills that are in demand in the IT industry today.

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Companies have been collecting and analyzing data forever, pretty much.” So what’s really new here? What’s driving the data-analytics revolution and what does it mean for those that choose to postpone or ignore the pivotal role big-data is currently having on productivity and competition globally?

General Electric chairman and CEO Jeff Immelt explains it best when stating that “industrial companies are now in the information business—whether they like it or not.”  Likewise, digital data is now everywhere, it’s in every industry, in every economy, in every organization and according to the McKinsey Global Institute (MGI), this topic might once have concerned only a few data geeks, but big data is now relevant for leaders across every sector as well as consumers of products and services.

In light of the new data-driven global landscape and rapid technological advances, the question for senior leaders in companies now is how to integrate new capabilities into their operations and strategies—and position themselves globally where analytics can influence entire industries. An interesting discussion with six of theses senior leaders is covered in MGI’s article, “How companies are using big data and analytics,” providing us with a glimpse into a real-time decision making processes.

A business rule is the basic unit of rule processing in a Business Rule Management System (BRMS) and, as such, requires a fundamental understanding. Rules consist of a set of actions and a set of conditions whereby actions are the consequences of each condition statement being satisfied or true. With rare exception, conditions test the property values of objects taken from an object model which itself is gleaned from a Data Dictionary and UML diagrams. See my article on Data Dictionaries for a better understanding on this subject matter.

A simple rule takes the form:

if condition(s)

then actions.

An alternative form includes an else statement where alternate actions are executed in the event that the conditions in the if statement are not satisfied:

if condition(s)

then actions

else alternate_actions

It is not considered a best prectice to write rules via nested if-then-else statements as they tend to be difficult to understand, hard to maintain and even harder to extend as the depth of these statements increases; in other words, adding if statements within a then clause makes it especially hard to determine which if statement was executed when looking at a bucket of rules. Moreoever, how can we determine whether the if or the else statement was satisfied without having to read the rule itself. Rules such as these are often organized into simple rule statements and provided with a name so that when reviewing rule execution logs one can determine which rule fired and not worry about whether the if or else statement was satisfied. Another limitation of this type of rule processing is that it does not take full advantage of rule inferencing and may have a negative performance impact on the Rete engine execution. Take a class with HSG and find out why.

Rule Conditions