Good sources of study are a must while pursuing CBAP certification, following a good set of books while preparing for CBAP certification is necessary. There are hundreds of books available in the market for the preparation of CBAP, but only a few are very trusted, error free and have high quality content in them. We will discuss three important books which are very popular among the aspirants.
- CBAP / CCBA Certified Business Analysis Study Guide by Susan Weese and Terri Wagner
- The ESI CBAP® Exam: Practice Test and Study Guide, 2nd Edition: By Glenn R. Brule
- CBAP® Online Study Exam by Watermark Learning
Given above are three most important books, which are filled with good content are very helpful for students who are opting for CBAP training and other future examinations. These books have very vast scope and they are prepared in such a way that it will suit beginners as well as professionals or individuals who consider themselves in intermediate level. There are several individuals who are going for this certification to gain very important and exclusive knowledge one obtains through its training. This exam tests the ability and proficiency of the candidates to deal with the several challenges that are most likely to arise in their future, if they take up jobs in this field. Organizations are increasingly opting to access cloud-based applications and platforms so their teams can focus on building and testing applications, and reducing time-to-market for their products and services. Businesses with fluctuating capacity and resourcing needs are opting for the public cloud. Organizations are using public cloud computing resources to build secondary infrastructures for disaster recovery, data protection, and business continuity. More and more organizations are using cloud storage and data management services for greater accessibility, easy distribution, and backing up their data. IT departments are outsourcing the management of less critical and standardized business platforms and applications to pubic cloud providers.
Case study for CBAP
In the case of inexpensive goods and services, many merchants find it sufficient to post detailed descriptions of their offerings on their websites. But for expensive consumer goods and for business to business, or B to B goods and services, companies generally need to advertise their offerings using multiple marketing campaigns. In fact, many offerings will require multiple campaigns from the merchant before the customer makes their decision to purchase. In these situations, we need an ecommerce sales model. To that end we introduce a proprietary ecommerce sales model. The model requires certain inputs, that we’ll cover in the next slide, and delivers several useful outputs, again, covered in later slides. We start with the inputs. The sales forecast is the amount of sales revenue that the organization expects to generate in the coming year. For example, the company might plan to generate $40,000 in sales in the coming year. The average revenue per order, also called the average order size, is the average amount consumers buy when they order goods and services from the website. For segment sales splits, we acknowledge that most companies sell to multiple market segments. We want to track the revenue each segment generates. In the same way, we want to track the revenue each campaign generates, so it can be helpful to track revenue generated by campaign, also known as the campaign sales split.
With campaign conversion rate, we track the conversion rate of different campaigns, such as direct marketing, pay per click, and so forth. The final input is the cost per response to execute the campaigns. This is simply a matter of totaling all the costs associated with each type of campaign. We discuss the outputs in the next slide. The model produces three outputs. The first is sales prediction by segment. The model predicts the amount of sales revenue we can expect to generate for each market segment. The market size and growth of the cloud services industry is at nearly three times the growth of overall IT services that is the scale at which the cloud market is growing employer demand is outpacing the number of qualified candidates available. Gartner talent neurons database of more than 1 billion unique job listings scores the hiring scale for jobs requiring cloud computing skills at 78 which means that employers are finding it difficult to get the right applicants for open positions and cloud technologies there are many specialization areas within this domain.