User Experience as an Organizational Development Tool
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Developers sometimes begin a project by racing to the specification document and an ERD. Wait! Even if you're developing iteratively, there's a huge amount of potential being missed in most projects. I propose that your projects will be more successful and valuable to your clients if you think of yourself not just as a database developer but as a process consultant. This presentation outlines a few concepts for addressing the human and political aspects of database system development and concludes with an example scenario. This was presented at a FileMaker training session and is my first public presentation. Thank you for looking!
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This e-mail may include confidential information and is solely for the use by the intended recipient(s). If you have received this e-mail in error please notify the sender immediately. You must not disclose, copy, distribute or retain any part of the email message or attachments. Views and opinions expressed by the author are not necessarily those of the organisation.
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3. Describe 2-3 actions a project manager may take as they begin to close out the project. Be sure to justify using the actions you discuss.
4. Review Project Management in Action: The Power of Lessons Learned (pages 518-520 in the textbook) and provide an overview to the project team on the significance of the information. Be specific.
Pg 518-520 from book
PROJECT MANAGEMENT IN ACTION The Power of Lessons Learned Projects are discrete. They have a beginning and an end, at which time the project team disbands and moves on to other things. Despite the fact there has inevitably been significant tacit learning during the project, there is often only a limited capture of this into a sharable form for future reuse. Too often, as the project team dissolves, the learning fades into the memories of individuals minds. This makes it extremely difficult for others to benefit in the future from the insights learned. The usual excuses for this loss echoing through the corridors include just too hard, not enough time, team disbanded before we had the chance, and many more. The key error here is the incorrect assumption that learning during or from projects is an added bonus or a nice- to-have luxury. This is not the case in best.
Hci Overview
The document provides a quick overview of human-computer interaction (HCI). It discusses who users are, what constitutes a user interface, the importance of usability, and why good usability and designing user interfaces is difficult. Key challenges include understanding users and their tasks, creating prototypes and iterating designs based on user testing, and analyzing systems to evaluate usability. HCI methods like contextual inquiry, prototyping, iterative design, and usability testing are recommended to develop systems with high usability.
Responses to Other Students Respond to at least 2 of your fellow .docx
Responses to Other Students: Respond to at least 2 of your fellow classmates with at least a 40-50-word reply about their Primary Task Response regarding items you found to be compelling and enlightening. To help you with your discussion, please consider the following questions:
DISCUSSION 1
What did you learn that you did not already know?
This has been like some of the other material that we have covered. I have had exposure to many of the concepts in my master’s program but with this material I am provided both reinforcement of those concept understandings and present new perspectives on them. The from Management Information Systems: Managing the Digital Firm was particularly helpful. Material such as this can often require several iterations of review to begin to develop an understanding of how it can be applied. I have had exposure to similar material but being able to understand how to apply these concepts benefits considerably form exposure to new sources. This material is not abstract but at times being able to apply it in a practice manner almost does seem abstract. Being able to read this material helps me solidify thoughts and ideas on how to concretely implement them in real life situations, this type of process for me is something that requires deeper understanding of the “theory of operations”, for a lack of better words. In course I have gotten a lot of that.
What are some problems that are apparent in the field?
I am going to inject some major bias at this point as my masters was in software engineering and focused on enterprise architecture, IT systems research, software project management, and object-oriented paradigm. To me one of the biggest problems in the industries I have been in is shear negligence in researching the concepts of what software engineering is and how to manage information systems or information technology. The decision-making process is often left to those who have no technical background, two who’s motivations are at best questionable, and three have no concept of the magnitude or time line of projects. There is an abundant source of research, magazines, and various other forms of literature explicitly addressing these things in a practical manner oriented strictly towards helping organizations undertake such endeavors. I by no means consider myself to be an expert but I often find myself in a situation where I ask what should be some basic questions about projects and in return I receive an answer akin to “what are you talking about” or “I have never heard of that” or “I don’t know I never thought about that”.
What are might be some opportunities for research on the topics covered and how might you perform the appropriate research?
The above rant was a segue into this section because I feel that big data is becoming more prevalent and both the elements of software engineering and systems for big data could become victim to similar issues as stated before. Some issues for research in software engineer ...
Intranet design strategies2011 (nx power lite)
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Businesses cannot compete without data. Every organization produces and consumes it. Data trends are hitting the mainstream and businesses are adopting buzzwords such as Big Data, data vault, data scientist, etc., to seek solutions for their fundamental data issues. Few realize that the importance of any solution, regardless of platform or technology, relies on the data model supporting it. Data modeling is not an optional task for an organization’s data remediation effort. Instead, it is a vital activity that supports the solution driving your business.
This webinar will address emerging trends around data model application methodology, as well as trends around the practice of data modeling itself. We will discuss abstract models and entity frameworks, as well as the general shift from data modeling being segmented to becoming more integrated with business practices.
Takeaways:
How are anchor modeling, data vault, etc. different and when should I apply them?
Integrating data models to business models and the value this creates
Application development (Data first, code first, object first)
Data-Ed: Trends in Data Modeling
The document discusses emerging trends in data modeling. It provides an overview of different types of data models including conceptual, logical and physical models. It also discusses different modeling approaches such as third normal form, star schema, and data vault. Additionally, it covers new technologies like NoSQL and key-value stores. The webinar aims to address trends in data model application technologies and the practice of data modeling itself.
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Adam Wilson AP Final Project REVISED FINAL DRAFT
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The document describes an internship at a software company. It includes the mission and vision of the host organization, an executive summary of the internship experience, and details of projects completed. The intern learned skills in Excel, data analysis, and report writing. Challenges included complex projects and time management. Overall, the internship provided valuable experience in software development processes.
Bsa 411 preview full class
The document discusses a business analysis project for Lowmill Corporation where the maintenance department needs reorganization from a physical and systematic level as they are unable to provide data on failing production equipment. A new system is needed to understand high failure production areas so the engineering department can improve equipment uptime and maximize manufacturing capacity. The paper will analyze the business process related to Lowmill's maintenance department issues.
Data-Ed: Emerging Trends in Data Jobs
Tools alone are not the answer: Career roles and growth tracks for data professionals. In today’s (Big) data-driven information economy, it is even more critical to focus on data as an asset that directly supports business imperatives. But tools alone are not the answer. Organizations that want to rise above their competition can only do so with the help of skilled professionals who know how to manage, mine, and draw actionable insights from the multitudes of (Big) data sources. Numerous new roles and job titles have emerged to address the high demand for specialized data professionals. This webinar brings together three individuals well qualified to contribute to this important industry-wide discussion of data jobs. We will take a closer look at these newer data management roles and present recommendations on how to enhance career paths.
Check out more webinars here: http://www.datablueprint.com/resource-center/webinar-archive/
Data-Ed Online: Emerging Trends in Data Jobs
Data is the lifeblood of just about every organization and functional area today. As businesses struggle to come to grips with the data flood, it is even more critical to focus on data as an asset that directly supports business imperatives as other organizational assets do. Organizations across most industries attempt to address data opportunities (e.g. Big Data) and data challenges (e.g. data quality) to enhance business unit performance. Unfortunately however, the results of these efforts frequently fall far below expectations due to haphazard approaches. Overall, poor organizational data management capabilities are the root cause of many of these failures. This webinar covers three lessons (illustrated by examples), which will help you to establish realistic OM plans and expectations, and help demonstrate the value of such actions to both internal and external decision makers.
Takeaways:
Organizational thinking must change: Value-added data management practices must be considered and included as a vital part of your business strategy.
Walk before you run with data focused initiatives: Understand and implement necessary data management prerequisites as a foundation, then build upon that foundation.
There are no silver bullets: Tools alone are not the answer. Specifying business requirements, business practices and data governance are almost always more important.
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Big Data LA 2016: Backstage to a Data Driven Culture
Big Data LA Day 2016 Presentation by Pauline Chow on success as a data scientist by using a module and flexible technology stack
Success Through an Actionable Data Science Stack
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User Experience as an Organizational Development Tool
- 1. The Database as an Organizational Development Tool Development perspectives for the knowledge economy Donovan Chandler December 2007
- 5. HOW THOUGHT INFORMS DESIGN
- 14. Higher Perspective Logical Structure Intuitive Structure Data Layout Structure User Experience
- 15. HOW DESIGN INFORMS THOUGHT
- 22. apu/
- 26. Ctrl+space
- 27. “ base”
- 28. “ base” Still remember the old file path route? I don’t! apu/Applications/FileMaker Applications/BaseElements.fp7
Editor's Notes
- For example, think about when you are evaluating your solution… how much to do you focus on usability and business impact as opposed to data integrity? (unless they bark at you)
- David Kachel of Foundation Database Systems, “Are You Taking Notes?” in White Paper for FMP Novices, 12/5/2006, p. 57-60.
- Intuitive structure represents their mental model
- Cf Don Levan, Psychology of Effective FileMaker Pro Solution Design in FileMaker Advisor
- Understandable solutions are good, but great solutions cultivate higher understanding as well.
- Understandable solutions are good, but great solutions cultivate higher understanding as well.
- Understandable solutions are good, but great solutions cultivate higher understanding as well.
- Understandable solutions are good, but great solutions cultivate higher understanding as well. Take more work; but, once you understand how to connect the model of your system to the user’s mental models, it’s easier for you to begin to shape that mental model.
- From Ancona et al., Managing for the Future, 2005
- From Ancona et al., Managing for the Future, 2005
- Add Networked
- Add Networked
- Separate into slides
- Separate into slides
- Separate into slides
- Separate into slides
- Multiple implications
- Can also be viewed through various aspects
- Typical concern that probably won’t surface or be dealt with. But, the database can help! Could have political issues. Perhaps they won’t talk to each other unless the system does it for them. This problem relates to the need for being flat and flexible .
- Could have strategic implications
- DB now becoming a decision tool
- That’s a really simple example, but it points to the direction I’m going. When a manager says “I wish…” or “That stupid…” it makes me think of the cultural, political and strategic dynamics involved… now I’m also learning to think about ways in which the users interact with the database are influencing those dynamics.
- That’s a really simple example, but it points to the direction I’m going. When a manager says “I wish…” or “That stupid…” it makes me think of the cultural, political and strategic dynamics involved… now I’m also learning to think about ways in which the users interact with the database are influencing those dynamics.