scholarly journals Application of Data Analytics in the Events Industry

2021 ◽  
Vol 4 (1) ◽  
pp. 1-13
Author(s):  
Blair Orlando ◽  
Yeqiang Lin
Keyword(s):  
Data Collection ◽  
Marketing Strategy ◽  
Data Analytics ◽  
Company Performance ◽  
Case Review ◽  
Data Collection And Analysis ◽  
Tremendous Amount ◽  
Study Support ◽  
The Common ◽  
Analyze Data

This research examined the data analytics practices used within the events industry and the value of such applications. This study consisted of an interpretive case review of current companies within the events industry. The interview process explained the current practices being used to collect and analyze data. The common themes revealed data analytics are being used to evaluate, redesign, and enhance company performance, marketing strategy, decision guidelines, and economics. The study shows data collection and analysis is mostly focused on determining what consumers want and are looking for within the industry. The findings of this study support the importance of applying data analytics within industry-related companies to be financially successful and maintain market-share. Both the results from this study and the literature used indicate the significance of data analytics and the tremendous amount of opportunity buried beneath the application of data, although there is still room for growth.

The Undergraduate Marketing Research Course: Two Decades of Change

2020 ◽  
pp. 027347532096050
Author(s):  
Eileen Bridges
Keyword(s):  
Data Collection ◽  
Data Analytics ◽  
New Technology ◽  
Marketing Research ◽  
Customer Data ◽  
Critical Gap ◽  
The Past ◽  
Data Collection And Analysis ◽  
Marketing Data ◽  
Observational Techniques

This article looks back over the past two decades to describe how teaching of undergraduate marketing research has (or has not) changed. Sweeping changes in technology and society have certainly affected how marketing research is designed and implemented—but how has this affected teaching of this important topic? Although the purpose of marketing research is still to better understand target customer needs, the tools are different now: customer data are typically collected using technology-based interfaces in place of such instruments as mailed, telephone, or in-person surveys. Observational techniques collect more data electronically rather than requiring a human recorder. Similarly, sampling has changed: sample frames are no longer widely used. Many of these changes are not yet fully discussed in marketing research courses. On the other hand, there is increasing interest in and availability of courses and programs in marketing data analytics, which teach specialized skills related to analysis and interpretation of electronic databases. Perhaps even more importantly, new technology-based tools permit greater automation of data collection and analysis, and presentation of findings. A critical gap is identified in this article; specifically, effort is needed to better integrate the perspectives of data collection and data analysis given current research conditions.

scholarly journals Three Steps Towards Sustainability: Spreadsheets as a Data Collection Analysis System for non-Profit Organizations

2018 ◽  
Vol 33 (2) ◽  
Author(s):  
Sidney Joseph Shapiro ◽  
Vivian Oystrick
Keyword(s):  
Data Collection ◽  
Present Article ◽  
Competitive Environment ◽  
Non Profit ◽  
Viable Solution ◽  
Data Collection And Analysis ◽  
Non Profit Organizations ◽  
Analysis System ◽  
Existing Data ◽  
Analyze Data

Many non-profits face barriers developing systems to collect and analyze data that can leverage the type of information that their funders and stakeholders require. Constraints such as limited evaluation expertise, time, and money make this virtually impossible to achieve without a viable solution. In an increasingly competitive environment, it is imperative that non-profits find innovative ways to track and measure their work within their evaluative capabilities. There are different ways in which evaluators can help even the most constrained non-profit organizations capture their reach and make the most of their existing data. This article proposes a three-step framework for the development of a data-collection and -analysis system through the use of spreadsheets. Not only is this proposed system feasible within the constraints of the non-profit sector, but it is also valuable for the sustainability of their services over time.De nombreuses organisations à but non-lucratif font face à des obstacles en ce qui concerne la mise en place de systèmes de collecte et d’analyse de données pour offrir des informations pertinentes pour leurs bailleurs de fonds et parties prenantes. Le fait d’avoir une expertise limitée en évaluation, des contraintes de temps et financières sont des obstacles qui rendent impossible l’implantation de solutions viables. Dans un environnement de plus en plus concurrentiel, il est impératif que les organisations à but non-lucratif trouvent des moyens innovants pour monitorer leur travail en respectant leur capacité évaluative. Les évaluateurs disposent de divers moyens pour aider les organisations à but non-lucratif, même celles disposant de très minces ressources, à évaluer leur portée et à tirer le meilleur parti des données dont elles disposent. Le présent article propose une procédure en trois étapes pour l’élaboration d’un système de collecte et d’analyse des données faisant appel à des chiffriers. Non seulement il est possible d’implanter un tel système compte tenu des contraintes du secteur à but non lucratif, mais il apporterait beaucoup pour la pérennité des services.

scholarly journals Measuring the motivation of health workers: a reflection on the methodological issues and lessons learnt

2019 ◽  
Author(s):  
Rishma Maini ◽  
Julia Lohmann ◽  
Sandra Mounier-Jack ◽  
Josephine Borghi
Keyword(s):  
Data Collection ◽  
Health Workers ◽  
Democratic Republic Of Congo ◽  
Design Stage ◽  
Lessons Learnt ◽  
Data Collection And Analysis ◽  
Preparatory Phase ◽  
Key Issues ◽  
The Common ◽  
Future Practice

Abstract Objective: In this article, we reflect on our experiences in developing and validating an instrument to measure health worker motivation in the Democratic Republic of Congo. Specifically, we recount what actually happened and identify what could have been improved upon at the design, sampling, data collection and analysis stages. Results: Key issues manifesting at the analytical and interpretative stage largely related to shortcomings in the preparatory phase, due to lack of time and resources as well as psychometric and motivation-related expertise at the outset. The main lessons learnt were that the design stage is critical as it lays the foundations for meaningful data collection and analysis. Any shortcomings at this stage inevitably reveal themselves at the analysis stage, both in technical terms as well as in regards to the interpretation of results. It is therefore worth investing time and resources when developing a motivation instrument, particularly within a sound and culturally appropriate conceptualisation of motivation. We hope by openly sharing our experience with other public health researchers working in this area that they will be more aware of some of the common pitfalls to avoid thus helping them to improve future practice.

scholarly journals Development of algorithms of the automated data collection and analysis system with a machine tool CNC.

2014 ◽  
Vol 2014 (1) ◽  
pp. 58-62 ◽  
Author(s):  
Дмитрий Петрешин ◽  
Dmitriy Petreshin ◽  
Олег Федонин ◽  
Oleg Fedonin ◽  
Владимир Карпушкин ◽  
...  
Keyword(s):  
Data Collection ◽  
Machine Tools ◽  
Automated System ◽  
Cnc Machine Tools ◽  
Cnc Machine ◽  
Operating Modes ◽  
Data Collection And Analysis ◽  
Analysis System ◽  
Constituent Elements ◽  
Analyze Data

Described the use of automated systems to provide data collection and analysis with CNC machine tools. The structure of an automated system to collect and analyze data from the CNC. Describes the purpose of the constituent elements of the automated system. Considered a flowchart of the automated system for the collection and analysis of relevant data with CNC machine tools. Describes the operating modes of the system.

Pokémon in the Midst: Collecting and Using Data from within the Pokémon GO Ecosystem to Facilitate Ecology and Wildlife Biology Education

2017 ◽  
Vol 79 (7) ◽  
pp. 592-593
Author(s):  
Quent Lupton
Keyword(s):  
Data Collection ◽  
Biology Education ◽  
Physical World ◽  
Wildlife Ecology ◽  
Biologically Relevant ◽  
Data Collection And Analysis ◽  
Pokémon Go ◽  
Using Data ◽  
Augmented Reality Game ◽  
Analyze Data

Teaching the techniques to collect and analyze data on wild populations presents many obstacles. Capturing, identifying, and collecting data from wildlife has many safety-related and logistical challenges. Pokémon GO, a relatively new, smartphone-based augmented reality game, provides a new landscape for simulating wildlife ecology research. The world of Pokémon GO is overlaid onto the physical world and is populated with a variety of species, each having biologically relevant characteristics. Each individual Pokémon also has unique morphometric data. These features of the game provide a platform for data collection and analysis that mimics real-world practices, while eliminating many logistical and safety-related constraints. Additionally, little to no training is involved to begin data collection, allowing more time to plan and execute simulated wildlife ecology projects and activities. The availability of this new virtual wildlife community provides a widely accessible, freely obtained resource for data collection that has directly relevant applications for wildlife ecology education.

scholarly journals Using Nudist-4 in a Preliminary Qualitative Investigation of Postpartum Depression Among African American Women

2000 ◽  
Author(s):  
Linda Amankwaa
Keyword(s):  
African American ◽  
Data Collection ◽  
Postpartum Depression ◽  
African American Women ◽  
Qualitative Data ◽  
Pilot Project ◽  
Qualitative Investigation ◽  
American Women ◽  
Data Collection And Analysis ◽  
Analyze Data

The purpose of this paper was to discuss the processes that were used to collect and analyze data in a pilot project on postpartum depression among African-American women. NUD*IST 4 (Richards & Richards, 1997), a computer program, was instrumental to the researcher in coding the preliminary data. Memos of the process and the thoughts of the researcher are sprinkled throughout the paper describing the processes used and decisions that were made during the data collection and analysis processes. Four interviews were conducted and the very first analysis of these these interviews are included in this paper. This paper is a student's journey during the beginning processes of qualitative data collection and analysis.

Strategi Pemasaran Untuk Meningkatkan Jumlah Kunjungan Pada Obyek Wisata Kebun Raya Dan Kebun Binatang (KRKB) Gembira Loka Di Kota Yogyakarta

2017 ◽  
Vol 22 (1) ◽  
pp. 1-10
Author(s):  
Nur Wening ◽  
Muhammad Al Hasny ◽  
Ridha Fitryana
Keyword(s):  
Qualitative Research ◽  
Data Collection ◽  
Marketing Strategy ◽  
Swot Analysis ◽  
Internal Variable ◽  
External Variable ◽  
Collection Method ◽  
Data Collection Method ◽  
A Company

This research aims to formulate marketing strategy to increase visitors of Gembira Loka Garden and Zoo (KRKB Gembira Loka) in Yogyakarta. This research is qualitative research and uses interview, observation, and documentation as data collection method. The data is analyzed by using SWOT analysis with internal and external variable identification. The internal variable shows that location is the main strength of Gembira Loka KRKB with 0.17 by value and 5 by rating. From external variable, the result of EFAS table shows that Gembira Loka KRKB has good enough chance while the thread has less result than the chance. Gembira Loka KRKB is in quadrant 1, which is the position in which a company is considered to be in a beneficial situation due to its chance and strength. In such case, the company can utilize the chance by maximizing the strength. The following strategy to go through in this condition is supporting aggressive planning.

Sign in / Sign up

Export Citation Format

Share Document