Weekly Discussion Question: Week 14
Leave your response as a comment on this post by the beginning of class on December 7. Remember, it only needs to be a few sentences.
Answer the following question:
What was the most important takeaway (from your perspective) from this course. If you had to explain to a future MIS5101 scholar what this course was about, what would you say?
David Schuff
tub98392
Aaron Grant
Dalia Mansour
Stanley R. Horwitz
Mamta Amin
Adley Amzovski
Steven Borland
Shivani B. Darji
Beth L. Dicamillo
Dipti S. Dighe
Rachel L. Gifford
Sakshi Jain
Dong Hwan Lee
Tara N. Lott
Monica A. Mason
Tisha M. McKinney
Karen Padula
Geoffrey R
Martin Schryver
Jerrin C. Varghese
Amy L. Virus
John J. Walker
Thomas I. Walsh
This course was an interesting overview of business intelligence methodologies, concerns, and technologies. The course did not have any required textbooks, which is a nice cost savings. The weekly homework assignments included a mix of brief articles, case studies, and a hands-on SQL excercise that illustrated issues of how business decissions are made to share corporate data and benefit by it in ethical, but effective ways. We were expected to answer an online question every week and email a weekly summary of each week’s readings. We also had to submit a written review of two of the case studies. We were also exposed to hands-on in-class computer lab exercises on how to use data. Those exercises included working with Excel pivot tables and SQL. The course included various in-class group instructor-lead excesses and in-class lectures, which are available online. A final exam and a group project were also required, as was an individual project.
Overall, this class was wonderful. It taught me a lot about the different forms of data, how the data is collected and analyzed, and ended (appropriately) with how to display and present this data. The format of the class varied between lectures, in-class activities, and case studies/readings which was a great way to mix it up and use techniques to teach and to learn. The modules on SQL were highly informative and I’m glad I got to learn more about it.
For me, the takeaway message from this course was that data is transformed into information and knowledge, which is used to make business decisions. Therefore, it is very important to capture quality data to use in a meaningful way. Also, from our last lecture of data visualization, I learned that the way data is displayed and presented can make a big difference in the business world because the data can be interpreted in different ways depending on the presentation. Most importantly, I learned that although data analysis can be a very complicated topic, it can be very interesting as well.
It is hard to say what’s the most important takeaway from this class. There were many valuable lessons learned throughout the course. However, if I had to choose one thing it would be learning about SQL. There are many career opportunities that involve use of SQL and I found learning the basics of the system invaluable. If I had to explain this class to future students, I would summarize it with one word: data. This class deals with what data is, is not, and what it could be. It discusses databases and how they use data and how to manipulate data in databases. Overall, I would recommend this class to anyone interested in data systems and how data is used today.
I thinking more about the data visualization lecture for week 14, it dawned on me that the old saying “There are lies, damned lies, and statistics” can be modernized to say “there are lies, damned lies, and graphs.”
My take away from this course is looking to data from different perspective and compiling this data in different ways in order to come up with new ideas. As an example is joining the KPIs with data visualization to deliver the required goal.
This course covered how to play with data to explain your goal. This includes understanding the different issues with data, e.g. access versus accuracy, using data to make decisions, how data needs to be represented in different ways based on its usage, e.g. dimensional vs relational database and more.
Funny thing – someone did ask me about this class.
I told him the course was generally about how data is identified, collected, related, structured into a database and queried. The weekly questions and the cases submissions ensure that you read the material. Dr. Schuff taught the my first MIS class and he’s teaching my next class. So, I know what to expect.
The take away for this class is the level of detail needed to identify what your goals are, identify the specific data fields, map the relataionships. The detail may be surprising, but it improves the queries. There have been times when I’ve had to re-build a table because someone said, “Oh yeah, I forgot to tell you. . . ” It really ruins your whole day!
My important takeaway from this course is that I got an overview of how different organizations use data to improve their business. The course gave the overview of entire process where data is converted into information, and information into knowledge with the help of technology. The best part of the course was the case-study discussions which connected a particular course topic to the real world scenarios; and the lab work which allowed me to slice and mash data.
If I had to explain this course to someone, I would say that this course is a blend of theory, real world case studies , overview of tools and technology and few hands-on. The course is apt for people with less technical knowledge or people who want less focus on the technology part of the data management.
From my perspective, the most important takeaway from this course is–It’s all about the data! Coming from a non-technical background, I found this course challenging as well as enlightening. I would explain to a future MIS student that this class is a survey class of data methodologies all centering around the importance of data collection and analysis then using it to gain a deeper insight in whatever needs improving..
This course examines data applications and issues throughout processes including collection, storing, analyzing, interpreting, and understanding. Data can be used in powerful ways to drive business decisions and substantially increase product and service success. It is important to consider:
• The balance between access and accuracy
• Database architecture and structure
• Key Performance Indicators
• Privacy and ethical concerns
• Presentation and visualization
The main take away from this class is with the proper tools and techniques, data will serve as an asset to all organizations.
Data is used all the time in business decision-making. You must be sure the data collected is accurate and reflective of the reporting goals. Learning the basics of SQL gives a great overview of how structure can determine the format of the output. The cases were a great tool in pointing out the learning goals concerning access/accuracy, KPIs, and graphical representation. This class is great for even the most non-technical people because it’s important for everyone to learn how to gather, use, and display data in a way that is meaningful to your business.
This course follows how data is collected, organized, analyzed and presented. Due to advancements in technology, the collection and analysis is advancing at a rapid rate. If businesses ignore their data, it will be at their own peril. Data can be used to increase productivity, decrease costs, and to learn more about customers. It is also important to remember that data should be used responsibly and all privacy concerns should be addressed.
From my perspective, the most important take away from this course is my better understanding of different methodologies used to collect, analyses, and integrates data into a system. This course will help me to look at data from different dimensions, and find “meaningful” use to transform data into knowledge to carry out “best practices” in my organization. I will tell prospective students that this course gives a very good exposure to overall understanding of a “Data.” This course was a good learning curve for me.
The most important takeaway from this course that I experienced is knowing how to recognize data in its raw forms and convert the data into something more meaningful. If I had to explain to a future scholar what MIS5101 was about, I would explain that MIS 5101 is a course that teaches you about data manipulation and organization from the most granular level to something more meaningful and understandable. Basically, data intelligence.
It is hard to say what the most important takeaway from the class is because I think the whole course itself was very important. I think the in class activities of ERD, SQL and Pivot Tables really helped because we were actually able to put what we learn in practical use. I learned how important data is and that a lot can be done with it in the present time to help reduce potential risks of the future, especially in healthcare. If I had to explain this class to a future student I would say it serves as a great transition from the “books” to reality, which is important especially at the “master’s degree” level.
Coming into the course you would think that data is clear cut, but by the end you realize that there are many ways to dissect and collect data. Data is extremely complex and can be taken out of context by anyone observing it. The overall complexity of collecting and analyzing data was something I could not have imagined, but I am glad I am aware of it now. The knowledge gained here is important in the business world today, and seems to be only getting more complex in the foreseeable future.
There was several take away points in the course for me:
•There is a difference between data, information and knowledge and knowledge and information depends on quality data.
•Various data mining techniques can be used to identify trends in data and this information can be used to make business decisions and solve business problems.
•Data can come from various sources such as social media for marketing and other business purposes.
• Data presentation can come in many forms, but the most effective data presentation is simplified and eliminates unnecessary distractions.
•Overall, I learned a great deal in this course as well as from the case presentations, I especially enjoyed the hands on experience with SQL and other data mining techniques.
I feel there was more than one important take-away from the course. To name a few of the many, I would say the following:
•double checking the validity of the data you may receive access to by checking the reference(s) of where the data was generated
•The challenge of consolidating data between two or more databases. (different formats may exist between the various databases)
•The challenge of correcting and/or updating data. (the relevance of the data may have change before you are able to correct or update the data)
•The challenge of ensuring that Data Visualization communicates your message to the user. If the visualization is not done properly, your message will not make sense, and will result in confusing the user.
I would tell a future MIS5101 student that from the course I learned various ways to input, store, and search data. (tools: database, excel, and datamashers). In addition, the course discussed barriers of accessing data (Breach of Privacy), the integrity of data you may have access to, who may have access to your data and how they are using it, and how Data Visualization communicate to the user can be a good or bad thing.
My take away from this class would be that I am now able to connect between my real world experience with scholastic point of view. I am now able to approach my current project from my job in more systematic way than I used to; I can explain things better in professional term and help my colleagues understand better about data. Case study always helped me to apply real life examples to my own real life situation. My biggest positive experience in this class would be data visualization and basic concept underneath. My only regret and recommendation to future student is that you get what you invested, because could have invested more to get more out of it.
I used a VLOOKUP table at work today and my co-workers think I’m a genius. That was the most practical piece of information I learned from the class. Overall I feel I have a better appreciation for data and how important it is to make sure the data is set up in a way that maximizes it’s usage and ability to answer the business questions it was intended to answer.
This course is about business intelligence methodologies and concerns.One has to read different articles and case- studies which make it more interesting. Healthy discussions in the class help in clearing the concepts better. It doesn’t required textbooks.
There are many tradoffs when designing solutions around the data in an organization. Anything is possible, but what is normally feasible, requires good analysis and careful implementation to get the business results expected from the data.