You are working for Cable Prime as a Senior Manager for Analytics & Insights. One of the sales consultants has brought you the attached dataset to provide him with an informative analysis and actionable insights.

He/She intends to use your analysis to present to the Head of Sales in a 15-minute presentation.

Required

• Give the process you have followed to prepare this data for an informative analysis.
• Provide an overview or descriptive analytics of this data, and add diagnostic analysis (why is the picture like that). State the assumptions you have made.
• Create a sales forecast for the coming year. State any assumptions made.
• What factors affect sales growth in this business? Provide recommendations to the business on how they can get to 150% of their current sales performance next year.
• The sales consultant requests that you provide him with this analysis every month-end going forward. Outline your plan and execution of this request to facilitate for an efficient way that uses minimal resources each month-end. State the ideal or possible tools and/or technologies you would use.

Important

Present you answers in a presentation format i.e. Microsoft PowerPoint. You may accompany the presentation with any workings you deem required as supporting documents.

About Phoenix Ke Analytics

Short description- Phoenix KE Analytics is a Kenyan data community focused on fostering collaboration, knowledge sharing, and skill development within the data science and analytics domain. The community brings together professionals, enthusiasts, researchers, and students interested in data analytics, machine learning, artificial intelligence, and related fields.The community organizes events, workshops,mentorship programs, webinars, and meetups to facilitate knowledge sharing and learning opportunities. Topics covered include data visualization, predictive modeling, data engineering, and ethical considerations in data science. Through these activities, Phoenix KE Analytics aims to enhance the technical expertise and problem-solving abilities of its members.Phoenix KE Analytics seeks to bridge the gap between academia and industry in the field of data scienc contributing to the growth and development of the data science ecosystem in Kenya.

Your submissions will be evaluated by a team of judges.

This is a learning hackathon. Aside from knowledge, there are no prizes for this competition.

Competition closes on 19 May 2024.

Final submissions must be received by 20:00 PM.

We reserve the right to update the contest timeline if necessary.

The judging team will take up to 2 weeks to evaluate your submissions and will be in touch regarding the winners. The winners will be invited to present their findings.

How to enroll in your first Zindi competition

How to create a team on Zindi

How to update your profile on Zindi

How to use Colab on Zindi

How to mount a drive on Colab

This challenge is open to Kenyans.

Teams and collaboration

You may participate in competitions as an individual.

Multiple accounts per user are not permitted, and neither is collaboration or membership across multiple teams. Individuals and their submissions originating from multiple accounts will be immediately disqualified from the platform.

Code must not be shared privately outside of a team. Any code that is shared, must be made available to all competition participants through the platform. (i.e. on the discussion boards).

Datasets and packages

The solution must use publicly-available, open-source packages only.

If the challenge is a computer vision challenge, image metadata (Image size, aspect ratio, pixel count, etc) may not be used in your submission.

You may use only the datasets provided for this competition. Automated machine learning tools such as automl are not permitted.

You may use pretrained models as long as they are openly available to everyone.

The data used in this competition is the sole property of Zindi and the competition host. You may not transmit, duplicate, publish, redistribute or otherwise provide or make available any competition data to any party not participating in the Competition (this includes uploading the data to any public site such as Kaggle or GitHub). You may upload, store and work with the data on any cloud platform such as Google Colab, AWS or similar, as long as 1) the data remains private and 2) doing so does not contravene Zindi’s rules of use.

You must notify Zindi immediately upon learning of any unauthorised transmission of or unauthorised access to the competition data, and work with Zindi to rectify any unauthorised transmission or access.

Your solution must not infringe the rights of any third party and you must be legally entitled to assign ownership of all rights of copyright in and to the winning solution code to Zindi.

Submissions and winning

You may make a maximum of 2 submissions for this competition.

Before the end of the competition you need to choose 2 submissions to be judged on for the private leaderboard. If you do not make a selection your 2 best public leaderboard submissions will be used to score on the private leaderboard.