Cloud Based Data Analytics Small and Medium Enterprises

Description:

Introduction

Cloud computing allows businesses to store data and use applications through the Internet without maintaining physical hardware. It provides flexible and scalable systems that adjust to changing business needs. With cloud-based data analytics, small and medium enterprises analyze business data in real time, improve decision-making, and manage operations more effectively. Owners and managers track performance, understand customer behavior, and forecast demand easily. This approach reduces technology costs, improves data accuracy, and increases productivity. Cloud-based platforms also support remote work and fast information sharing. Overall, cloud analytics helps small and medium enterprises grow faster, stay competitive, and respond quickly to market changes.

Objectives of the Study

• To identify why SMEs adopt cloud-based data analytics.
• To examine the extent and areas of cloud analytics use in SMEs.
• To analyze the impact of cloud analytics on business decision-making.
• To study the challenges faced during cloud analytics adoption.
• To evaluate how cloud analytics improves operational efficiency.

Research Methodology

The researcher followed a systematic method to complete this study. The study first focused on understanding the basic concepts and theories related to cloud-based data analytics. The researcher then conducted a questionnaire survey to collect information from respondents. After collecting the responses, the researcher analyzed the primary data and supported the findings using relevant secondary sources.

Research Design

The study used a descriptive research design to present a clear picture of how small and medium enterprises use cloud-based data analytics. Descriptive research helps explain existing practices through surveys and fact-finding methods. The study also followed an ex post facto approach, where the researcher observed existing conditions without controlling any variables. The researcher used simple statistical tools such as averages and percentages to ensure objective and accurate analysis.

Mode of Data Collection

The researcher used a survey method to study the link between cloud-based data analytics and SME operations. A structured questionnaire helped examine adoption patterns, business challenges, and opportunities from the SME perspective.

Population and Sample Size

The target population included SME owners, managers, and decision-makers involved in cloud-related activities. The researcher used purposive sampling and selected 50 respondents based on study objectives.

Data Collection Methods

The researcher collected primary data using a 15-question multiple-choice questionnaire.

• Generic questions covered business size, location, and views on cloud solutions.
• Objective-based questions focused on benefits, limitations, and decision-making factors.