Data Insights for Business Decisions: Presentation and Analysis, MG413

This presentation analyzes the role of data insights in business decisions, focusing on data collection, orthodox market research, and the impact of technology. The presentation uses ASDA Stores Limited as a case study to illustrate the types of data collected (primary and secondary), the differences between orthodox research and big data, and how data is captured, stored, and utilized in day-to-day operations. It covers the influence of technological advancements on data use, outlines data applications in various business functions (inbound/outbound logistics, operations, sales/marketing, and service), and proposes a research framework for improving data capture and utilization within an organization. The presentation concludes by emphasizing the importance of deriving actionable insights from data to achieve a competitive edge in the current business environment. Relevant references are included to support the findings.

TOPIC Data Insights for Business
Decisions

TABLE OF CONTENT
Introduction
Data collection
Orthodox market research and the ways it is different from Big data
How information and data collected for support operation
Explanation about how information is captured and store
Impact of technological development and use of data in business decision making process
How information and data are used in day to operations of company in the sector
Primary and secondary research role in MIS
Setting outline for research into improving data capture and use in a sector/organisation
Conclusion

INTRODUCTION
Data insight is the result of a corporation's analysis of data-set pertaining to a specific
topic or scenario. Analysis of data offers insights that assist businesses in making
informed decisions while also reducing the risk associated with traditional trial-and-
error evaluation methods. The report effectively covers different aspects of Data
insights like data collection, use, research etc. in the context of Asda Stores Limited
which is leading retail supermarket chain of UK as well as operates business globally.
.

Data Collection:
One of most worthwhile resources available to present businesses is data. Business can better
comprehend customers' interests, expects, and wants if business have more details about
customers. This improved understanding allows business to meet and surpass customers'
expectations by developing communications and product lines. Big Data is massive
compilation of data which continues to grow exponentially over time. This is data set which is
so wide and complicated that no conventional data management techniques can effectively
store or procedure this. Big data are similar to regular data, although it is much larger. Primary
data and secondary data are two major types of data. Following is discussion about key data
used by ASDA, as follows:

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Primary Data: This reflects data gathered directly from source. The fact that respective
company is collecting information for specific purposes is a benefit of employing
primary data. In fact, the company's decisions are designed to elicit information that
will aid them in decisions. Researchers gather information through surveys, interviews,
as well as personal observation.
Secondary Data: The term "secondary data" alludes to information gathered by
someone other than user. Statements, data gathered by govt departments organizational
documents, as well as data which was already primarily obtained for other study
objectives are prevalent sources of secondary data in company.

ORTHODOX MARKET RESEARCH AND
HOW THIS IS DIFFERENT FROM BIG
DATA
Orthodox research implies to research that is primarily concerned with traditional
beliefs and historical evidence. Traditional marketing-research is broad term that
encompasses both promotional activities and advertising It uses a variety of tools and
methods to collect the necessary data. It is more concerned with determining the total
market for product. Undertaking a customer survey to learn about their preferences
and despises.

Explain how information is captured/ collected and stored/ saved:
Survey: This is characterized as act of analyzing a procedure or inquiring a chosen set
of people for the purpose of obtaining information on service, products or process.
Interview: Interviews are utilized to gather information from small group of people
about a wide variety of topics or subjects.
Loyalty Card: Loyalty cards are an excellent way to gather customer information.
Company ASDA collects detailed information, like demographic data, preferences,
and area, whenever a customer chooses into card scheme. Following a buy, loyal
customers may be provided the opportunity to take part in survey in exchange for
more loyalty points.
Online tracking: Customer data could be obtained in 3 ways: through questioning
customers directly, through tracking consumers indirectly, as well as by adding other
references of client data to company's own data. ASDA also proficient at pulling
almost every nook as well as cranny in all kinds of data/info. Most obvious areas are
customer activities on websites and social-media sites.

DATA STORING
Cloud Storage: Migrating all of ASDA data operations to public cloud provider, either
through lift-and-shift strategy or even more specific migration, could deliver tremendous
flexibility and other advantagesOn-Premises
On Premises: Regarded to be original data storage technique, on-site data solutions
typically entail servers owned as well as managed by ASDA itself. For bigger corporations
like ASDA these servers may be situated in private data centre facilities but in most cases,
they comprise of a couple of computers situated in office's devoted data rooms (or, in some
situations, "closet").

Describe the impact of technological development on the
role and use of data in the business decision making
process::
The development of information technologies has led the path for a number of
developments. With the digitalisation of content, more companies are rapidly
using the advantages of digital platforms to boost their opportunities. IT has
been critical to making this procedure a total success. IT has significantly
changed the experiences of people It gives business the scope to evaluate the
data as well as plan their business strategies appropriately. Using information
technology implies that data analysis is precise, consequently optimizing
profit margins.

Set out how information and data is used within the day to
operations of organisations within that sector and what is its
strategic importance to the organisation within its sector:
Inbound logistics: These are functions performed to provide products and other inputs
required. Data can be used in company ASDA to make such procedures more effective like
supply chains management structures which enable vendors to maintain their own stocks.
Operations: Any section of a company that is engaged in making available finished goods to
ASDA's different outlets is component of operations. Through business process management,
Data is utilized to establish more reliable procedures and improve innovation via data flows.
Outbound logistics: These are roles that are needed to get product out to customers. Like so
inbound logistics, data is utilised here to enhance procedures, like enabling real-time
inventory reviews.

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Sales/Marketing: The tasks that would encourage customers to purchase items are parts of
selling and marketing. Data is crucial to every phase of selling and advertising from web ads
to online polls, Data can be used to reinvent product creation and attract consumers as never
before. Corporation 's website could be a distribution outlet of its own, as we have
experienced with ASDA.
Service: The tasks a company conducts after product has been bought to retain and increase
the reliability of product are component of product activity. The service can also be expanded
by technology, providing support services by websites and smartphone applications.

SETTING OUTLINE FOR RESEARCH INTO
IMPROVING DATA CAPTURE AND USE IN A
SECTOR/ORGANISATION
Often most valuable data business need has to do with their clients. ADSA first
move ought to be to identify key consumer experiences. For instance, as they
run an online shop they’ll probably need to recognize where their clients come
from, what they're clicking on, what they're adding to their carts, and what
they're buying. Through first defining critical interactions to be tracked,
Business will then search for measurements and data collecting approaches
relevant to such interactions. It allows it easy for business to keep track of the
most relevant results.