ANALYTICS IN SOFTWARE DEVELOPMENT PROJECT MANAGEMENT
Write a 1–2 page executive summary that describes the synergy between software development cycles and data analytics, and why data analytics should be applied to a software development life cycle. In this assignment, you will describe a software that needs to be developed, a software development life cycle, and a rationale for the application of data analytics to software development. To complete this assignment, follow these steps:
Use the assignment template to write your executive summary.
Select a type of software that needs to be developed.
Select a software development life cycle to apply to develop the software.
Provide a rationale and recommendation for the application of data analytics to the selected software development life cycle.
Address these questions in your executive summary:
What were the defining points for the application of data analytics to the software development?
What were the reasons?
How does data analytics help a project manager visualize and interpret the software development life cycle successfully?
Where will the use of data analytics take software development in the future?
Sample Solution
Executive Summary: This executive summary describes the synergy between software development cycles and data analytics, and why data analytics should be applied to a software development life cycle. For this particular example, we have selected an online store front as our type of software that needs to be developed. The Software Development Life Cycle (SDLC) chosen is the Agile methodology in order to best manage the process efficiently and effectively.
Data analytics provides invaluable insights into what stage of development a project is at during any given moment throughout its lifecycle — allowing project managers visualize each step of their respective processes. Data driven insights derived from metrics such as sprint velocity can provide indicators on how quickly or slowly a team might be progressing through a certain feature set or module in their system; thus helping them identify any bottlenecks early on before too much time has been wasted on inefficient tasks. Similarly, analyzing past trends can also help inform better decisions for future investments within a project’s scope — enabling both PMs and stakeholders alike more accurate predictions for when certain features will go live etc.
In addition, data analytics also helps ensure that delivery dates are met by keeping track of how far along teams are in comparison to other stages they have previously accomplished or similarly planned projects which have delivered with similar scope & expectations — allowing them to adjust their goals accordingly based on real-time feedback without having to sacrifice the overall quality of their product due to extraneous circumstances. Additionally, it allows developers & designers alike more flexibility in terms of establishing timeline estimates with greater accuracy thanks while streamlining communications between all parties involved every step along the way due to improved visibility & traceability across all participating entities regarding progress/status updates throughout its duration.
By applying data analytics tools such as dashboards which allow teams keep track of progress and make informed decisions during each phase within their SDLC process, companies will gain significant agility & efficiency advantages over competitors who may lack such analytic capabilities – ultimately leading towards higher customer satisfaction rates for end-users thanks better quality products having made it into market faster than ever before possible beforehand Thanks advancements from these powerful technologies being available today!