Data Gathering and Market Research

Data Collection and Market Exploration
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Data Collection and Market Exploration
In the world today, different people engage in different kinds of regular occupation or
profession for the purpose of generating income that is able to pay their bills and live a
comfortable life. It is always the desire of every organization to offer the best in the market for
their esteemed consumers and as a result, a company is willing and ready to invest in methods
that will help them maintain a good reputation in the market world and at the same time are
ahead of their competitors in a healthy way. Before engaging in any kind of business or
transactions, it is important for any organization to first have enough information about a product
it would wish to introduce to the market and how well it anticipates its reception by the
consumers. Two elements that happen to be part of a driving force in any given company
involves the data gathering and market research. The two are to be carried out professionally as
the end results contribute greatly to the success of any company. Different products and services
are received differently in the market depending on the customer’s need (Li et al., 2015). This
paper focuses on the quantitative research based on biodiesel data gathering, how to interpret
gathered data, as well as how to analyze and apply the same data.
Data Gathering
According to Carlson (2016), data gathering involves the collection and measuring of
data from different sources in order to complete and bring out a clear picture of an area of
interest. This process makes it easy for organizations to answer certain questions within the
company, evaluate outcomes and be able to tell what the future has in store for them and the
trends. It is very important for any organization to ensure accuracy is observed during this
exercise as it assists in the maintenance of honesty of the research, contributing to reliable
business decisions and guarantees quality. As such, the appropriate method revolves around the
qualitative research grounded in primary data collection by applying semi-structured in-depth
discussions. Here, the interviews play a vital role in biodiesel data gathering to help provide
responses to the study questions. One-to-one qualitative interviews regarding various companies
dealing with such fuels help to explore the research on this topic and used as a substitute for
group discussions. In-depth face-to-face consultations ensure acquisition of detailed information
on individual perspectives and attitudes gave that biodiesel is both sensitive, as well as the fact
that it’s almost impossible to find potential interviewees. The biodiesel production of U.S has
enlarged from 343 million gallons recorded in 2010 to 1.278 billion gallons in 2014, which is a
total increase of 272% for a span of five years under the investigation. Manufacture of biodiesel
covering the first ten months of 2015 attained a volume of 1.048 billion gallons, which is close to
the total production during the first ten months of 2014. In this regard, the U.S. became a net
wholesaler of biodiesel in 2013 (Li et al., 2015).
During the period between 2007 and 2012, the U.S. became a net exporter of biodiesel
while translating to a net importer from 2013 to 2015. Imports improved from 2012 with a record
of 35.8 million gallons to 2013 covering 342.4 million gallons. This substantial upsurge in
imports during 2013 corresponded with a domestic production of 1.359 billion gallons, which is
the highest achieved level in the U.S history. Mostly, this state is driven by numerous factors
such as the demand to meet progressive biofuel and total renewable fuels standards, which in
turn affected by biodiesel tax credit, rising access to external biodiesel and favorable blending
finances. With this method in place, it provides the study with relatively demanding and reliable
outcomes regarding examinees’ attitudes and opinions, because respondents have an opportunity
to react freely in an open-ended manner. Therefore, the researcher obtains all necessary data
from the ground, which can now be acted upon (Hajjari, Tabatabaei, Aghbashlo & Ghanavati,
One-on-one interviews comprise the generation of a lot of data. Notwithstanding the
assortment of study strategies, there are additionally unique methods for creating a record of
information gathered in the interview or focus group, for example, notes written by hand or
visual-recording. In case the research is centered on audio or visual-recording, the data must be
transcribed before the analysis process. For instance, it can take knowledgeable analyst 8 hours
to interpret one 45-minute sound chronicled dialogue, a procedure than creates more than 10
pages of written discussion (Hajjari et al., 2017).
Numerous scientists uphold a file of "field notes" to supplement sound taped dialogues.
Field notes enable the investigator to keep record and statement upon impressions, practices, and
nonverbal signs that are not satisfactory and noted through the sound footage; they are normally
written by hand when interview process is underway. Field notes can offer useful background to
the analysis of sound taped information and can promote the scientist to remember situational
elements that might be critical amid information examination. Such notes can be informal, but
rather they can be maintained and secured just like sound tapes and transcripts, as they contain
sensitive data and are important for analysis purposes.
Data Interpretation
Importantly, every data collected is considered a vital message and which needs to be
uncovered. Hence, this can be done through information compression. Translation of the
information relies on the hypothetical viewpoint taken by analysts. Specialists utilize social
constructivist hypothesis since it accepts that conduct is socially built. In this sense, the
researcher engages in creating categories, patterns, and themes in order to divide and label the
data collected. Through the entire process, the scholar starts to comprehend the underlying
phenomenon studied. However, the researcher must be critical due to the fact that the alternative
interpretations are characteristically possible. Further, the data collected through the interviews,
the scholar first transcribes the interviews. Then, the data is subjected to a careful reading
through them along with notes to ascertain some themes and patterns. By doing so, the
researcher is able to isolate obvious characteristics, which allows the researcher to establish the
underlying variance in the data collected through the interview. Also, this way the investigator
can introduce the data to the coding process for analysis purposes (Bot, van Donk, Pennink, &
Simatupang, 2015).
Analysis and Application of Data
The essential method applied in biodiesel analysis entails the coding technique that is
well known for classification and dissection of the gathered information. This is possible after
the researcher has conducted activities such as transcribing the interviews, careful data reading
together with notes to expose themes and patterns used for the interpretation process. Ideally, it’s
worth noting that coding technique is possible through the application of Excel software.
Consequently, the data is classified in an expressive and clear manner which in turn helps later in
the process to create a connection between pieces of information and develop the bigger picture
out of this data.
When the majority of the transcribed discussions have been interpreted and tested, it’s
time for coding. Field notes gathered in the consultation can be a helpful correlation of data to
encourage this procedure, interpreting, and coding can evoke memory inclination with respect to
nonverbal or natural situations that may impact bias of data. Coding alludes to the distinguishing
proof of subjects, issues, likenesses, and contrasts that are exposed through the member's stories
and interpreted by the scientist. This procedure enables the analyst to start to understanding the
world from each member's viewpoint. Coding need to be done through hand on a written account
of the transcript, by creating notes in the margin or by highlighting names of the segments of
content (Carlson, 2016).
Alternatively, the question areas from the discussion guide are used as overall codes, and
subsequently, they are reduced into sub-codes to offer the researcher with more systematic
categorization. On the other hand, while working through transcripts, appropriate sections of text
are cut and pasted under the conforming code in Excel with required labels to isolate the
respondents regarding the biodiesel data and refer back, if needed. Significantly, every group
keyword is stressed to examine the frequency of their presence throughout all interviews. The
transcripts are inspected at least three times to attain the data saturation level. After the collection
of the necessary data and analysis done, a reliable report comprising the study problem, data
gathered and outcomes have to be produced. It needs to attain logic and must be persuasive and
embracing the purpose of the study and the target audience (Bot, van Donk, Pennink, &
Simatupang, 2015).
The application of the data notes that biodiesel amalgams are associated with codes as
other transportation fuels. As such, blends of up to B5 consisting of 5% biodiesel and 95%
petroleum diesel, which happens to be petroleum diesel and used in prevailing diesel
infrastructure. In relation, blends above B5 may need extra requirements. Storing blends above
B20 at a wholesale station is rare because it includes several additional requirements and there is
less compatible equipment available but some underground storage tank (UST) holders may
store B100 for blending or for direct use (Balogh, Bai, Popp, Huzsvai, & Jobbágy, 2015).
The biodiesel production is still very young in the energy industry and it is considered a
small industry compared to the likes of fossil and corn ethanol industry. Regardless of all these,
biodiesel has been picking up very well in the market even amidst the irregular government tax
policy incentives. Most of the profits that are always registered in the industry are always a result
of government policy incentives. Data gathering strategies are closely related to the type of
research that is being carried out as the customs are quite strong and have strong an analytical
foundation. In the changes that are always witnessed in the world of market research, these
customs are always forgotten about as science and technology create new methods available. The
move to more advanced methods of surveying customers is of benefit in various ways and saves
a lot in terms of cost for any organization. In the energy body, there is a 10% target of the
renewable energy directive that must be met by states using these kinds of fuel (Balogh, Bai,
Popp, Huzsvai, & Jobbágy, 2015).
Balogh, P., Bai, A., Popp, J., Huzsvai, L., & Jobbágy, P. (2015). Internet-orientated Hungarian
car drivers’ knowledge and attitudes towards biofuels. Renewable and Sustainable Energy
Reviews, 48, 17-26.
Bot, P., van Donk, D. P., Pennink, B., & Simatupang, T. M. (2015). Uncertainties in the
bidirectional biodiesel supply chain. Journal of Cleaner Production, 95, 174-183.
Carlson, R. (2016). Estimating the biotech sector's contribution to the US economy. Nature
biotechnology, 34(3), 247.
Hajjari, M., Tabatabaei, M., Aghbashlo, M., & Ghanavati, H. (2017). A review on the prospects
of sustainable biodiesel production: a global scenario with an emphasis on waste-oil
biodiesel utilization. Renewable and Sustainable Energy Reviews, 72, 445-464.
Li, B., Ou, L., Dang, Q., Meyer, P., Jones, S., Brown, R., & Wright, M. (2015). Techno-
economic and uncertainty analysis of in situ and ex situ fast pyrolysis for biofuel
production. Bioresource technology, 196, 49-56.

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