13 Jun Network and Workflow.
Running head: NETWORK AND WORKFLOW FOR A DATA ANALYTICS COMPANY 1
NETWORK AND WORKFLOW FOR A DATA ANALYTICS COMPANY 2
Network and Workflow for a Data Analytics Company on Ssports
Student Name Nezar Al Massad
Institution Name Dr. Mark O’Connell
Network and Workflow for a Ddata Analytics Company on Ssports.
A company’s network and workflow play a major roles in its performance and growth. Different companies consist of rely on different networks and workflows depending on the services/tasks they are providing and the number of workers and members of staff. A network tends to connect workers and members of staff at different levels of the company. This network tends to create a good and effective workflow within the company, hence a company network and workflow go hand in hand. When creating a network and a workflow of a company, the workers and members of staff working duration must be considered in order to achieve a company objective (Moretti, 2017).Also, the mode of employment which may be permanent or temporary/laying down of workers within a short period of time, to a large extent determines a company’s network and workflow. The change of an organizational requirement due to growth and expansion creates a need for a company to adapt a new network and workflow. A network in company plays a vital role of guiding how the company should run its operations. Comment by Mark O’Connell: Duration?? Comment by Mark O’Connell: What? Laying down?? Comment by Mark O’Connell: OK so stop educating us about the factors that determine a company’s network and tell us about YOUR network Comment by Mark O’Connell: Too obvious
My company in the world requires data analysts for to perform analysisdata analysis allowing them to and make important strategic decisions and identify opportunities in the market, and therefore data analysts are becoming very important vital to our company. Despite this, there are many companies coming up in the data analysis industry and there every company must strive for success and overcome high competition by creating a good network and workflow. There are many ways different data analysisst companies create their own networks and workflows so as to achieve their objectives in the market and fulfill their customer needs. It is essential to have a team of highly skilled professionals having diverse skills.
We are a startup but we aspire to grow to a full-scale analytics company whereThe analytics company is we are made up of a network and a workflow led by the director of analytics, analytics manager, and data science manager. The director of analytics is responsible forof managing the analytics and data science manager, the analytics manager oversees the data analysts and data engineers dealing with descriptive and exploratory analytics, while the data science manager manages the data scientists dealing with prescriptive and predictive analytics.
The data analytics company will also consist of professionals from various fields and different qualifications working together to achieve the goals and objectives of the company. They include; software engineers, statisticians, Data hygienist, data architects, data scientist, visualizers, and business analyst.
The software that is used to analyze the data is created by the software engineer. The software consist systems for collecting and processing data. Software engineers play a vital role in guiding using the company using their knowledge and experience on choosing the best technology and how to implement it, with the aid of statisticians who provide the underlying analytic tools. After creating this software, the software engineers provide advice and education on how they should be used by other professionals in the company creating a good network and workflow.
Statisticians keep the workflow by collecting, analyzing, and interpreting the data. They also provide the best methods to use in the collecting and analyzing the data for a specific purpose (Rodriguez 2019). They use program and software created by software engineer to execute their task.
The data created may not be accurate, useful and relevant. This creates a need to clean the data to remove this default and refine it. This work is done by the data hygienist in the company who goes through the data set from the statisticians. They make the appropriate adjustments using software or in a manual way. They ensure that data is presentable and stored in a good way, protecting data from errors that could cause problems later. Comment by Mark O’Connell: Enough about the staff. We’re waiting on some definition of your actual network.
The data now moves to the data architect, who structures the data in a rather meaningful manner. This makes the data to be readable by various members of the company. They also create methods of improving the efficiency and quality of data, assisting the company in implementing the methods. The gathered data now falls on the hands of the data scientist, who creates complex analytical models that provide valuable business information. They require knowledge and experience in analytics frameworks (J.Y Wee 2008). They acquire the maximum value from the given data and give a report to the director of analytics, analytics manager and data science manager.
Visualizers now come in to ensure that data can be understood by customers, partners and third parties. They change the fresh data into a format that can easily be understood, using tables graphs and videos. There is need to ensure that all members in the data analytics team understands the key objectives of the company and are working towards its achievements. This is enforced by the business analyst, who has a deep knowledge and experience in the company and the whole industry. They are able to interact to all members in the company hierarchy, providing ideas that can be directly implemented.
All members in the company should appreciate and take advantage of each other and work through a good network and workflow. The company can bring in technological infrastructure in order to improve the capacity of the company to handle big data.
Network Diagram
Comment by Mark O’Connell: You misunder6stood. This is a company org chart – this is not a Network Diagram.
Workflow Diagram
Significance of the network and workflow of a data analyst company
For proper running management of the company there is need to keep monitoring the workflow and the network. A well-good implemented workflow gives anmakes it easier time to run and manage other activities in the company. The network and the workflow therefore have the following significance to a company.
1. Workflows assist in defining the company processes hence better decision making. The networks in the company facilitate easier and faster communication between the managers and other members in the company. This is done using emails and instant messenger.
2. Networks provide a good security of files in the company where managers and other members cannot see each other files. Workflow are created from the top to the bottom at the personal job level, giving an insight, control, security and consistency on the processes of the company. It is easier to correct errors and damage management.
3. A good workflow process makes it easier to implement the policies of the company. This is done by documenting of the policies that are to be used in the processes, hence facilitating continuity in the company. Networks bring in the concepts of sharing devices in the company saving on money.
4. A network in the company allows easier data backup, since data are stored in the file server. Workflow gives a company consistency and confidence giving customers better services and as a result increase the number of customers Comment by Mark O’Connell: What network. This was supposed to be the topic of this report.
5. Through a workflow, a company is able to identify gaps in its processes. Managers make proper documentation on the process and gives employees better definition on the process. A network allows sharing of files in the company. (Moretti, 2017).
Target customers
The users of this data include:
1. Director of analytics-the director may use this information to make changes on the company network and workflow.
2. Analytic manager together with data analyst and data engineers, giving proper guidance the director of analytics and other employees in the company for implementation.
3. Data science manager with data scientist who use this for proper management and efficient execution of their work.
Conclusion.
Our company would will have a the potential to give excellent performance in the industry if this mode ofbecause of our detailed network and workflow. would be implemented. It will now be very competitive in the industry and give quality services to our customers.
Future prospect. Our goal is to see this company excel in the high competitive industry, by using modern technology in providing better services to our customers.
Reference list Comment by Mark O’Connell: Make sure refs are in APA format
Ann Moretti. (2017). The Network Organization: A Governance Perspective
Structure, Dynamics, and Performance. Springer.
Shiau, J. Y., & Wee, H. M. (2008). A distributed change control workflow for collaborative design network. Computers in Industry, 59(2-3), 119-127.
Kidder, K. L., Haring, J. M., Bishop, R. J., Trent, J. D., & Pham, L. D. (2002). U.S. Patent No. 6,445,774. Washington, DC: U.S. Patent and Trademark Office.
Maeda, Y., & Matsuo, A. (2010). U.S. Patent Application No. 12/588,547.
Smith, M. A., Shneiderman, B., Milic-Frayling, N., Mendes Rodrigues, E., Barash, V., Dunne, C., & Gleave, E. (2009, June). Analyzing (social media) networks with NodeXL. In Proceedings of the fourth international conference on Communities and technologies (pp. 255-264). ACM.
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