Impact of Data Discovery Process on Organization
Performance
Information Technology Management (Spring 2019)
Group project
01/05/2019
Dr. Mounir Elkhatib
Manal AlMehrzi – 200101218
Maitha AlQmazi – 200110247
Latifa AlAmeeri – 200014655
Introduction
Data discovery is an important part of Business Intelligence methods where organizations can
collect data from different records and databases to have information based on their business
scope like marketing. These data helps the top management to make evidence based decisions
and that bring more effective and efficient outcomes that reflect on their business. Moreover,
there are different systems that gather the data, find patterns and info about particular items,
from application or internets and deliver analysed information or indication depending on the
business sector or need. The research aim is to emphasis on the different data discovery tools
applied in organizations and its effect and importance on the performance level in term of
services, processes and daily activities.
Ministry of Health and Prevention (MOHAP) is a government entity that includes over
10,000 employees and its vision “An effective and sustainable Healthcare System for a happy
society” (MOHAP, 2019). MOHAP scope is to provide healthcare services to individuals,
corporates, other government entities and society based on high quality and International
standards, to ensure sustainable, integrated and innovative services. The initiatives taken in
this research focus on MOHAP core values: Patient Priority, Excellence & leadership,
Initiative and productivity, Accountability, Respect, Innovation, Teamwork, Community
happiness. Our research narrows to focus on Al Dhaid Hospital which we choose to interview
three departments: IT, Customer Happiness and Quality & Excellence Departments.
Questions asked on how Data Discovery process and tools can affect the performance level of
their departments. And, how data discovery can widen and maintain the excellence level in
the organization.
Methodology
For Al Dhaid Hospital four interviews conducted with:
− Head of IT department
− Head of Human resource department
− Head Customer Happiness Department
− Head of Quality & Excellence Department
Findings
Al Dhaid Hospital:
First, Head of IT department stated that there is specific method and tools applied that is near
to data discovery concept in particular department or for precise task. For example, in IT
department they had a quality improvement project in: Improving electronic communication
among hospital employees. The problem were that most staff don’t open, read or reply to their
e-mails and that cause poor response to circulars, Update on policies and Meeting requests or
requirements and tasks that asked through emails whether from Ministry or other departments.
Furthermore, that will lead to loss of information and Delayed in delivering urgent messages.
This project selected because missing vital messages could be critical in health care settings
because it might have an impact on the clinical decision of patient medical record when
messages received on time. The IT department decided to assess the effectiveness of
electronic communication among the hospital staff on monthly basis by sending a test email
that required a reply from all staff or a read receipt. And, only 28% of staff responded to the
email which indicates that the electronic communication among the hospital employees need
to be enhanced.
Therefore, workshops and awareness session delivered to all staff from admin and physicians
to emphasis on the importance of communication and improve their skills in this field.
Besides, each staff who does not read their emails is notified by their direct manger through
the IT monthly report to avoid future miscommunication issues. Also, they provide immediate
technical support to the staff that is identified as “did not reply”. This project enhanced the
percentage of communication within the hospital to reach 89% at the end of 2018.
Second interview with Head of Human Resource department, and they monitor employee
attendance through Time Attendance Management System (TAMS) and its linked to
punching machine, where at the end of each month the Monthly Schedule automatically sent
to employees mails and their supervisors to manage any absence or lateness . This process
helps in updating the employee states in the system and solves the pending issues regularly to
have smooth and clear process, which helps in avoiding accumulated pending issues in the
system and cause late procedures in case of end of service or resignations.
The third interview was with the Head of Customer Happiness Department, where they use
msurvey application to assess the satisfaction and happiness of their employees by sending
emails, and patient by using the tablets. In one case, they had low happiness rate in the
outpatient clinic with complains regarding the long waiting hours. As a result, they starts the
action plan by accepting only the patients registered with appointments only and any patient
that comes walk in, the head of section asses the case and decide whether to refer to
emergency or to give appointment for non-urgent cases. Another initiative taken by putting
small library and install TV to attract the patients to interesting subjects and makes the time
goes on. This helped to reduce the waiting time for patients in the clinic from average 3
hours to 45mins- 55mins.
Our forth interview with head of quality & excellence which notified that their role is to
assure the smooth processes in the hospital and sustain high performance level by:
− Conducting regular meetings and communicating with departments to address any
issues or challenges and find the best solution, through applying different quality tools
like fishbone, brainstorming sessions, Key Performance Indicators (KPIs) and quality
improvement project (QIP).
− Ensure all processes and services delivered based on high quality and standards and
follow-up with the hospital departments to continue collect the data required by using
different methods to monitor their level of performance.
Reference:
Ministry of Health & Prevention. (2019, March 21). MOHAP Strategy . Retrieved April 30,
2019, from mohap website: http://www.mohap.gov.ae/en/aboutus/Pages/Strategy.aspx
Information Technology Management (Spring 2019)
Research Proposal on:
Impact of Data Discovery Process on Organization Performance
Dr. Mounir Elkhatib
Manal AlMehrzi – 200101218
Maitha AlQmazi – 200110247
Latifa AlAmeeri – 200014655
Introduction
“Data is a precious thing and will last longer than the systems themselves.” (Tim, n.d.). Data discovery is a term used to describe the process for collecting data from various sources by detecting patterns and outliers with the help of guided advanced analytics and visual navigation of data, thus enabling consolidation of all business information. The main purpose of this proposal is
to Identify the impact of data discovery process on the organization performance.
Literature
Business now a days have excelled and are improving in terms of enhancing its business
models, increasing sales, and gaining competitive advantage. Organizations that uses business
intelligence are the ones that mostly excel and enhance rapidly (Cole, Wellens and Scott, 1997).
When it comes to business intelligence, data discovery is a very important aspect of it. Data discovery is a process that includes gathering data from various databases and compress it to be in a
centralized source that can be easily reached, analyzed, and evaluated (Agrawal, Stolorz and
Piatetsky-Shapiro, 1998). In addition, it allows you to explore all kinds of data available and
view them according to region, products, employees, etc. In other words, it gives the business the
opportunity to discover unknown opportunities for the business to grow (Software, 2019). Using
such approach can help the business in improving the process of decision making, assists in organizational growth, boosts the experience of the customers, and enables the organization to enhance its business by using innovation (Fred, 2011). Organizing data and centralizing them enables the business to select organizational path in order to ease the process of reaching organizational goals. Within the same scope, it gives the business the opportunity to enhance its relationship with the stakeholders, including the customers, partners, and suppliers (Wang, 2012). More-
over, it helps in maintaining the status of the organization in terms of its performance and excellence (Meers and Samson, 2003).
Research Methodology
Research methodology approach is to distribute research questions to 30 different employees and managers in different departments and fields. Moreover, the questionnaires preferred
to be by online survey and by visit to the managers’ offices. The research questions and answers
will be analysed to find the gap, reasons, differences and outcomes. Also, the analysis will help
to find out the factors which going to help my study research outcomes with solutions to cover
and solve the weak areas and continue the improvement process in different management and
individual levels within the organization, with importance and consideration of data discovery
process. In addition, information from journals and books for the literature to strengthen the research view.
Research Questions
1. How can the data discovery process impact on the organization performance?
2. How organizations can enhance and widen the usage data discovery aspects?
3. What is the influence of data analysis tools on the of data discovery within the organization?
4. How to maintain organizational excellence in terms of data discovery process?
Research Objectives
1. Identify the impact of data discovery process on the organization performance.
2. Explore the approaches to deliver effective data discovery process
3. Identify the influence of data analysis tools on the of data discovery within the organization.
4. Discover the methods of data discovery to ensure organization management success &
excellence.
Research Hypothesis
1. Organization can reach high performance level through effective Data Discovery process.
2. Enhancing the usage of data discovery methods have positive effect on the organization
outcomes.
3. Data Analysis tools results in effective data discovery approach & improved decision
making process
4. Effective data discovery process will lead organization to success & excellence
Conclusion
In conclusion, data discovery will help expand the use of big data analytics because exploration
of big data sources will occur more often, much faster and at a lower cost per analysis, delivered
by a broader range of users with more rudimentary technical skills. This proposal aims to expand
the research of data discovery and its implications, impacts, and limitations on organizations and
their performances.
References
1. Agrawal, R., Stolorz, P. and Piatetsky-Shapiro, G. (1998). Proceedings of the Fourth Inter-
national Conference on Knowledge Discovery and Data Mining. Menlo Park, Calif.: AAAI
Press.
2. Cole, R., Wellens, T. and Scott, W. (1997). Improving theory and research on quality en-
hancement in organizations. Washington, D.C.: National Academy Press.
3. Fred, A. (2011). Knowledge discovery, knowledge engineering and knowledge manage-
ment. Berlin: Springer.
4. Meers, A. and Samson, D. (2003). Business excellence initiatives: dependencies along the
implementation path. Measuring Business Excellence, 7(2), pp.66-77.
5. Software, P. (2019). What is data discovery?. [online] Phocassoftware.com. Available at:
https://www.phocassoftware.com/business-intelligence-blog/what-is-data-discovery.
6. Tim, B. L. (n.d.). How Can Smart Data Discovery Tools Generate Business Value? Retrieved
from datapine: https://www.datapine.com/blog/what-are-data-discovery-tools/
7. Wang, X. (2012). Relationship or revenue: Potential management conflicts between customer relationship management and hotel revenue management. International Journal of
Hospitality Management, 31(3), pp.864-874.
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