Enterprise IT Strategy Plan
Running head: PROJECT DATA COLLECTION PLAN 0
Data Collection Plan for Webtech Computer Maintenance Solutions
Sahaboob Yassin
ENT/586
July 2, 2017
Dr. Louay Chebib, PhD
Introduction
Digitization is currently affecting every aspect of an organization, which has however made it difficult to capture its benefits for an organization. It is worth noting that digitization affects different components of an enterprise and therefore a large automated program requires exceptional management of people, procedures, and technologies. The pages below have described a data collection strategy for Webtech Computer Maintenance Solutions, so as to enable the enterprise capture the benefits of digitalization.
A Description of Digital Data Needs
One of the digital data needs at the enterprise will be the availability of an integrated digital platform since it is the most basic technological enabler of transformation platform of properly incorporated data and process. A unified digital platform will be applied to the sales and marketing department, where consumer information including orders, appointments, location, and other personal information could be easily retrieved.
The other digital data need will involve a solution delivery model, which will be used by the executive to adjust its procedures and develop new processes on the data and development platform. In this case, the managers will use platforms such as social media or mobile will be used to provide solutions to the consumers. In relation to solution delivery platform, data analytics will be required so that they can extract information related to consumer needs from social media with an aim of enabling the executive to make decisions that will address consumer’s needs (Westerman et al., 2012).
The other digital data need which will be required in the computer maintenance firm will be the availability of technology. In this case, the firm will invest into information and technology department, where quality technologies will be integrated to enhance invention, automation, as well as personalization.
A Summary of Types of Data Collected and who will use it
In the data collection plan for Webtech Computer Maintenance Solutions, three types of data will be collected. One of the categories which will be collected is known as Transactional Data which is made up of components which assist the on-going functions of the organization. It should be remembered that transactional data elements are incorporated within the application systems which automate major organizational processes. The data collected will include time, price, payments, and discounts among others, which could be used by any stakeholder to enhance integrity from within and without the firm (Leonard, 2014).
Secondly, the other set of data which will be collected is Analytical Data that focuses on statistical values, metrics or measurements which will be aimed at promoting enterprise intelligence and enhance decision-making processes. This set of data will be mainly used by managers when developing decisions for the enterprise. The last class of data which will be collected at Webtech Computer Maintenance Solutions is Master data, which will be mostly used by the human resource department since it covers non-transactional information including that of the consumers, employees, suppliers or products (Leonard, 2014).
How Data management database will be used for Organizational Collaboration
To begin with, some of the data management systems which will be used at the firm include; relational databases, which are functions as data model representing organizational entities like the consumers, sales and services offered, and persistent caches which are normally used to summarize data from various departments within the firm(Looi,2016). With that said these data management systems will be used to integrate data from different operations in the enterprise to promote internal collaboration. The organizational collaboration will additionally be promoted by persistent caches which will enable department managers to gather overall views of the organization. With such information, these managers will be able to develop strategies which will teamwork within the firm (Panetto & Cecil, 2013).
Innovative Plan for Collecting, Storing, Evaluation and Distributing Data
Webtech’s data collection, storing, analysis and data distribution plan will be based on three unique pillars. To begin with, data collection and evaluation techniques will be chosen to equal the specific evaluation based on the key evaluation questions and resources in place. In this stage, data analytics will be used to make appropriate use of big data or any other existing data in the firm, with the aim of identifying which data could be collected and evaluated (Peersman, 2014).
After the required data is collected, the firm will ensure there is an appropriate data management system which is normally concerned with data storing, cleaning/evaluating, and distribution to make it accessible to others. During this process, the Statistical Package for the Social Sciences (SPSS) software will be used to evaluate and verify data to make sure that it is valid, reliable, complete, precise, timely and free from manipulations. In conclusion, after the data is evaluated, it will be added to the firm’s website where the clients, workers, and stakeholders would access it (Peersman, 2014).
Conclusion
With well identified digital data models, data management systems and implementation of appropriate data collection, analysis and distribution methods are one of the ways through which businesses would measure the benefits of digitization. Implementation of the discussed data collection plan, Webtech Computer Maintenance Solutions will attract a lot of benefits from organizational automation.
References
Leonard, E., M., (2011). "Design and Implementation of an Enterprise Data Warehouse" Master's Theses (2009 - ). Paper 119, Marquette University, Accessed from: http://epublications.marquette.edu/theses_open/119
Looi, M. (2016). “The Data Lifecycle: Data Management in the Enterprise”[Web], Accessed from: https://medium.com/@marklooi/the-data-lifecycle-data-management-in-the-enterprise-4b11de1e8035
Panetto, H., & Cecil, J. (2013). Information systems for enterprise integration, interoperability and networking: theory and applications.
Peersman, G. (2014).Overview: Data Collection and Analysis Methods in Impact Evaluation,
Methodological Briefs: Impact Evaluation 10, UNICEF Office of Research, Florence
Westerman, G., Bonnet, D. & McAfee, A. (2012, October). “The Digital Capabilities Your Company Needs”, [Web], Accessed from: http://sloanreview.mit.edu/article/the-digital-capabilities-your-company-needs/