Business Intelligence using Data Mining Techniques for Salon Industry
Padma R1, Josephene Sheeba S2, Thirumurthi Raja A3
1Padma R, Department of Computer Science, School of Computing Sciences, Vels Institute of Science Technology and Advanced Studies, Pallavaram, Chennai, India.
2S Josephene Sheeba*, Department of Computer Science, School of Computing Sciences, Vels Institute of Science Technology and Advanced Studies, Pallavaram, Chennai, India.
3Dr. A.Thirumurthi Raja, Department of Computer Science, School of Computing Sciences, Vels Institute of Science Technology and Advanced Studies, Pallavaram, Chennai, India. 

Manuscript received on November 15, 2019. | Revised Manuscript received on November 23, 2019. | Manuscript published on November 30, 2019. | PP: 334-337 | Volume-8 Issue-4, November 2019. | Retrieval Number: D6873118419/2019©BEIESP | DOI: 10.35940/ijrte.D6873.118419

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Data Mining has many application areas. One such application area is in Salon Industry. This paper presents the aims to harnessing the power of information to support marketing and management decisions, in Salon Industry. A group of salons data was collected, analyzed and its impact on business growth and decisions. This case study used a collage of the existing datamining techniques to aid the Salon industry to augment the business expansion, tactical decision making, and strategic marketing activity using the mined knowledge to understand customers, products and effective use of resources. This work gives an idea of the vast opportunity for growth in the beauty sector using data mining, to impact the managers and investors.
Keywords: Data Mining, Predict, Salons Service Sector, Marketing Decisions.
Scope of the Article: Data Mining.