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Point of Sales data analysis and correlation evaluation

$15-25 AUD / hour

Closed
Posted almost 8 years ago

$15-25 AUD / hour

1. Analyse Retail Point of Sale (POS) data to provide correlations with other (management generated) data sets. The analysis will also sometimes include cyclical data which has to be taken into account. The task is to find the best correlation between the data sets given a limited amount of lag between the Sale data and the management input data. 2. Provide feedback on what more information / data is needed to refine and improve the outcomes or measures. 3. Develop methods of presenting the correlations to a business audience - for example in terms of no, low, medium, high correlation factors; although it is assumed the analysis will be originally generated in terms of p-values or similar. (This type of work is often done in the "R programming language" see [login to view URL] - but this is not necessary if the end point can be achieved another way.) Overall, the task is to develop a methodology organically - so eventually management (non experts) can prepare and submit the data. However, it is unlikely the analytical task will ever completely go away; there will always be a role for analytical advice. This project will begin slowly on limited test data - but is expected to grow rapidly as management understand the implications of the correlations on their business direction.
Project ID: 10475772

About the project

10 proposals
Remote project
Active 8 yrs ago

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10 freelancers are bidding on average $21 AUD/hour for this job
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Hello Yeah. Interesting project. Let me know if you want give me a chance to work with you on this project. I do not work with R. Only SPSS, SPSS syntax or Excel + databases.
$23 AUD in 5 days
5.0 (3 reviews)
4.6
4.6
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I am a data scientist/quantitative developer with over 5 years of experience doing analysis. My interest and expertise in using R.
$16 AUD in 20 days
1.0 (4 reviews)
1.4
1.4
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Hello, As per your post, i have understood your requirement. You need to develop application for Point of Sales data analysis and correlation evaluation. Our expertise: MCITP in SQL Server 2005 and Expert in SQL Server 2005/2008/2012/2014 with 9+ years of experience in Database Administration. Expert in Installation, patching, configuration, monitoring, maintenance and management of servers having MS SQL Server installed. Expert in Performance tuning using PERFMON, DMVs, Profiler and execution plans. Design and build complex relational databases and data warehouses. Define enterprise-level standards (coding, architectural, migration), platform and tool selection. Develop strategies for data acquisitions, data recovery, & enterprise level database implementation. Work with technical and end users to understand business requirements and identify data solutions. Expert in MS SQL Server Business Intelligence tool SSIS. Good knowledge of MS SQL Server Business Intelligence tools SSAS & SSRS and MYSQL, Oracle 10g. High leadership & mentoring ability with excellent communication and troubleshooting skills. We would provide you perfect solution in cost effective price within time. I hope you will provide us the opportunity to work for you long term basis. I thank you for your time and considerations. I look forward to hear from you. Regards Kavita Nimje
$15 AUD in 10 days
0.0 (0 reviews)
0.0
0.0
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Hi, I'm a professional Statistician and a master R programmer. Interested to know more about the project if that is still available. The bid ( price & time) can be negotiate depending on the workload. Please feel free to contact me.
$25 AUD in 20 days
0.0 (0 reviews)
0.0
0.0
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The CEO of the firm is a Master Black belt in Six Sigma. Checking for association between variables and running correlations have been part and parcel of his work. He also runs training programs on Six Sigma for people to adopt and practice statistical methods. Statistical Analysis can also be carried out using various Excel based macro files and Excel add-ins. We will be using this approach to carry out the analysis for this project.
$22 AUD in 10 days
0.0 (0 reviews)
0.0
0.0

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