Continuing advances in technology and automation will be eliminating repetitive work in the offices of the future.
Computer technology has had a tremendous impact upon workers. In some instances, the introduction of computers has improved member working conditions, but, in others, new technology has produced several detrimental effects.
Explanation:
- One of the key trends to emerge was that automation, smart machines and artificial intelligence will conduct repetitive work, replacing the need for people to complete these tasks.
- Instead of worrying about job losses, executives should be helping to reduce jobs in which AI and machine learning take over boring tasks, while humans spend more time with higher-level tasks.
Here are three ways eliminating repetitive work can boost productivity:
- <u> Reduce Dependency on Email and Spreadsheets :</u> Automation tools such as mobile applications, customized portals and project management tools eliminate the time spent checking and responding to emails and updating spreadsheets to reflect work progress. With automated tools, managers and their teams can post progress or project information on an integrated mobile app.
- <u>Reduce Mistakes and Injuries </u>: The possibility of human errors, which take more time to correct, is virtually eliminated when tasks are automated. Leaving the monotonous tasks to machines reduces the chance of injuries and allows workers to keep working on more strategic tasks.
- <u> Free Employees Time for High-Level Skills</u> : Many of the employees who spend their time undertaking repetitive tasks could actually be better utilized on more complex tasks.
There are a variety of illnesses that may be caused by repetitive computer work :
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Tendonitis : pain and swelling of tendons at the junction between the tendon and its muscle;
- Epicondylitis: pain and swelling where the tendons and bone join around the elbow joint, etc
Answer:
2. A data modelling project using a packaged data model REQUIRES A GREATER SKILL than a project not using a packaged data model.
Explanation:
1a. Review of universal models:
A data model is an abstract model that organizes elements of data and standardizes how they relate to one another and to the properties of real world entities. It has become the standard approach used towards designing databases.
A universal data model is a template data model that can be reused as a starting point or a building block to jump-start development of a data modelling project, industry specific model, logical data models.
1b. Discuss how these are being used more widely today.
*Universal data models helps professional reduce development time, improve consistency and standardization while achieving high quality models.
*Higher quality: just as architects consider blue prints before constructing a building, one should also consider data before building an app. A data model helps define the problem, enabling one to consider different approaches and choose best ones.
*By properly modelling and organization's data, the database designer can eliminate data redundancies (needless repetitions) which are a key source for inaccurate information and ineffective systems.
2. Greater and advanced skills are adequate and required when data modelling project is done using packaged data model while fewer skills are required when data modelling is done without packaged data model.
Answer:
Days of the week including weekends Fill Weekdays – you can autofill working days of the week excluding weekends. This is very cool. I can autofill dates excluding the weekends. Fill Months – and you can use the full word or a standard abbreviation for the month, and Excel will autofill the sequence.
Explanation:
Application I think because software used to create a program is called application software I'm not entirely sure about that though
