Insights, tips, and practical ideas for the modern business analyst.
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In this issue...
January
2023

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Many thanks to the NYU Stern for making this eJournal issue possible. 

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Featured Topics

Specifying Requirements for Outsourced Projects

MS in Business AnalyticsRather than building systems in house, many organizations outsource development to contract development companies. They might outsource the work to take advantage of skills they do not have available in-house, to augment their internal staff, or in an attempt to save money or time. The outsourced development supplier could be located physically nearby, on the other side of the world, or anywhere in between.  The role of a business analyst is even more important on these projects than on a co-located project. If the team members are all in one location, developers can walk down the hall to ask the BA a question or to demonstrate newly developed functionality. This close collaboration can’t happen in the same way with outsourced development. Compared to in-house development, outsourced—and particularly offshore—projects face requirements-related challenges such as the following...

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Synthesize Data to Make Better Decisions

Business Analytics is the intersection of business and data science, offering new opportunities for a competitive advantage. Business analytics unlocks the predictive potential of data analysis to improve financial performance, strategic management, and operational efficiency.  Graduates of this program will be equipped to influence decision-making and strategy, and they will ultimately drive better business results by gaining the ability to transform data into a powerful and predictive strategic asset

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4 Effective Tips to Win Stakeholders and Influence Them

Anyone hardly talks about a supportive or a friendly stakeholder like a smooth relationship or a process hardly ever catches anyone’s attention.  A stakeholder is an individual or a group who has an interest in the project or the enterprise.  Stakeholders are to be found everywhere in life, not only in projects or among customer groups. Look around they are almost everywhere in life, some are more critical and some little less, some are easy, some are tough, some are out spoken, some silent. Anyone who has an interest and an ability to influence the outcome is a stakeholder.

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Data Fundamentals: Point In Time Fields

MS in Business Analytics

A point in time field supports a business need for an information system to know when an event took place (or will take place). Date, Time, and Date/Time field values represent a quantity of time involving a specific unit of measure and precision. Like other quantity values, they can participate in calculations (E.g. subtracting one date from another to determine the number of days in-between). This article is Part 9 of Information System Data Fundamentals For Business Analysts. 

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32 Important Techniques for CBAP Certification Examination

This again is a very frequent question that we receive from our CBAP participants. BABOK V3 has 50 techniques and obviously, all techniques would not be of equal importance for all three certifications. Some techniques are more important to junior business analysts and some techniques are used more by the Senior Business Analysts.  In this article, we are going to categorize the techniques into three categories based on their complexity levels. Low complexity techniques are more useful for ECBA aspirants. Medium and high complex ones are more important for CBAP examination aspirants. High complexity techniques would require CBAP practitioners more time and effort to understand and be comfortable with.

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MS in Business Analytics

Graduates of this program will be equipped to influence decision-making and strategy, and they will ultimately drive better business results by gaining the ability to transform data into a powerful and predictive strategic asset. Business Analytics is critical in preparing organizations to solve 21st-century business challenges and participants of this program will have exposure to innovative methodologies that support data-driven decision making.

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