Big Data Analytics in Small Business Enterprises (smes)

Big data analytics in small businesses (SMEs) is a process of extracting and analyzing large datasets to uncover trends and patterns that can be used to optimize processes, discover opportunities and make smarter decisions. Big data analytics in SMEs allow small businesses to gain a better understanding of the data they have, allowing them to make more informed decisions about the future of their business, as well as gain valuable insights into the performance of their products, services, and marketing campaigns. By leveraging the power of big data analytics, small businesses can gain a competitive edge over larger competitors and ensure their success in the long run. With the help of big data analytics, SMEs can identify potential areas of improvement and quickly adjust their strategies to stay ahead of the competition.

← Journal of Big Data Research

Related Articles

36 article(s) found
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Nature Inspired Bargain Optimization Algorithm for Effective Interpretation of Geoelectrical Data
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Testing Maternal-Fetal Genotype Incompatibility with Mother-Offspring Pair Data
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Predictors of Averse Events After Total Laryngectomy: An Analysis of the 2005-2011 NSQIP Datasets
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Preparation and Application for Separation of Small Molecules of a New Poly(OVS-co-EDMA) Hybrid Monolithic Column
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Mental Health Promotion Through Collection of Global Opinion Data
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Supporting Quality Data Systems:  Lessons Learned from Early Implementation of Routine Viral Load Monitoring at a Large Clinic in Lilongwe, Malawi
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Hospital Episodes Due to Antidepressant Overdose: An Under-Utilised Source of Pharmacovigilance Data
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Development of a Chronic Obstructive Pulmonary Disease Severity Classification System Using A Japanese Health Insurance Claims Database
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Morphological Features of Wild Mallard Ducks on Postnatal Growth Based on Functional Analysis of Capture-Recapture Data
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Ovarian Cancer Identification Based on Feature Weighting for High-Throughput Mass Spectrometry Data
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Big Data Research: Database and Computing
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5S Dashboard Design Principles for Self-Service Business Intelligence Tool Users
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Secular Trend in the Incidence of Japanese Employees with Thyroid Cancer Undergoing Thyroidectomy from 2005 to 2014: a Retrospective Descriptive Study Using an Employment-Based Insurance Claims Database
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Insight into Management Issues modeling for Perfect Business Simulation
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First Geographical Record of Corymorpha bigelowi (Cnidaria: Hydrozoa, Corymorphidae) in the Northern Red Sea Coast of Egypt, Based on Morphological Description
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Success for Big Infectious Disease Reimbursement Policy in China
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Pure Small Cell Carcinoma of Prostate in a Patient Presenting with Acute Urinary Retention: A Rare Case Report
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RESinvANFIS v1.0 - A Versatile MATLAB Tool for Inverting Geoelectrical Resistivity Sounding Data using Neuro Fuzzy Technique
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Proposed Spray System for Family Agriculture with A Remote-Controlled UAV (Small Drone or Helicopter) and An Economical Sprinkler
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Artificial Neural Network Model for Rainfall Data Analysis During 2004-2017 in Tamil Nadu, India – Prevailing Pattern Evaluation on Climate Change
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Rate, Maternal and Fetal Outcome of Cesarean Delivery Performed by IESO at Shenen Gibe General Hospital, Jimma South West Ethiopia: A Descriptive Retrospective Data
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Models and data Analysis of the Outbreak Risk of COVID-19
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Causes and Consequences of the Syndrome of Excessive Bacterial Growth in the Small Intestine
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Controlling the Covid-19 Pandemic without Killing the Economy: About Data Driven Decision Making with a Data Model Assessing Local Transmission Risk
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Can Data-Driven Hypotheses Replace the Scientific Method?
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A Missing Data on Covid-19 Forecasts
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Characterizing the Dynamics of Covid-19 Based on Data
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Legal, Marketing, and Advertising Issues with Big Data
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Users Perception and Factors Affecting Data Quality in Nyarugenge Public Health Facility, Rwanda
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Histo-Morphological Effect of The Small, Large Intestines and Stomach of Animal Models Treated With Aqueous Extract of Abelmoschus Esculentus
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Clustering objects for spatial data mining: a comparative study
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Capturing School Data on Bullying and Harassment is Just the Beginning of the Story, Using the Data Can Provide Us with an Ending
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A Data Mining Methodology for Detecting Conspiracy Theories from Scientific Articles: The Covid-19 Case
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Impact of Agricultural Land Use Practices on Water Quality in Lubigi Wetland
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A Decision Tree Ensemble Approach to Diabetes Prediction using the Framingham Heart Dataset, Exploring the Role of AI-Associated Interventions in Reducing Diabetes-Related Adverse Outcomes Between Men and Women
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