Idea - FICS

BIESC

Team and Contact Details

Student Name School Degree Year Email
Hammas bin farrukhComputer scienceUndergraduateFourth[email protected]
Alveena abidComputer scienceUndergraduateFourth[email protected]
Ayesha ShaukatComputer ScienceUndergraduateFourth[email protected]

Inter School Idea ? No
Do you need expertises from another area: No
If Yes please provide details of expertises you need:

Idea Details

Idea Name: BIESC
Slogan: Putting your business at the top
Supervisor Name: Dr. Shariq Hussain
Supervisor Designation: HOD, Associate Professor
Supervisor School: Other
Supervisor Department: Software Engineering
Contact number: 0333-5211974
Email ID: [email protected]
Abstract:
    The objectives of this work are to analyse the company’s available data and transform into useful business insights. BIESC system has the ability of process-driven decision making and future predictio
What is the unmet need in society that your idea will fulfill ?
    Electrical companies lack the methodology to apply real time analytics and get business insights. The decision- making process within these companies is quite slow. BIESC analyses the company’s available data and transforms it into useful business insights.
Who needs it ? How many would benefit ?
   BIESC is intended to help any organisation to manage and predict business affairs in near future. The objective of BIESC is to provide ease in the decision-making process for electric supply companies so that they could easily improve the limitation faced by the company.
How will the solution works
    Initially, the BIESC is going to perform data analysis on the IESCO’s data. The system is composed of four modules. In the first module, the data is crawled from IESCO’s website and downloaded to local repository for further processing.In the second module, the data crawled from IESCO’s website is pre-processed and stored in the database. In the third module, business intelligence algorithms are applied to the data stored in the database.In the last module, the predicted data is visualized.
Who are your competitors ? How is your solution different
    Our competitors are Dundas BI, Sisense BI and other BI systems. Unlike these systems, our project provides more functionality as BIESC system contains a web crawler for crawling data from target website. All the work that BIESC performs is automated unlike its competitors.
Status: new
Entry Date & Time: 2021-12-15 (1025)