Description
Playhouse Communication is one of Nigeria's leading digital marketing agencies. They combine design and media planning with cutting-edge tech solutions to reimagine what marketing is all about. Their client roster is a mix of global juggernauts and nimble SMEs, each redefining their sectors.
We are rolling out the ultimate arena for innovation in data and setting the stage for up and coming data scientists and analysts to showcase their skills, win huge cash prizes, and boost their careers. The "Hack the Feed" hackathon is a showdown where data analytics meets creative prowess.
Your mission? To decode a treasure trove of social media data for one of our high-profile clients and transform it into game-changing insights.
In a rare move, we're handing you the keys to a vault of exclusive social media data to let you dig deep, get creative, and strike gold with actionable insights that could redefine the future of digital marketing. This isn't just a hackathon; it's your chance to shape the future of digital engagement.
General Track
Timeline
Rules & Eligibility
- Participants must sign and respect the confidentiality agreement regarding the data provided.
- Data must not be used for purposes outside of this hackathon.
- All analysis should be original and free from plagiarism.
- Submissions after the deadline will not be considered.
Submission Requirements
- Create a comprehensive and reproducible report detailing their findings.
- Propose actionable recommendations based on the insights.
- Create a simple and engaging visualisation of your results & analysis.
Innovativeness:
- Originality and novelty of the insights.
Actionability:
- Practicality and feasibility of the recommendations.
Presentation Quality:
- Clarity and effectiveness in conveying findings in writing and visual form.
Depth of Analysis:
- How thoroughly the data has been explored and understood.
Judging Criteria
Data Familiarization:
- Begin by understanding the datasets provided. Explore the columns, types of data, and any missing values.
- Familiarize yourself with the platforms (Instagram, Facebook, Twitter, LinkedIn) from which the data originates to understand the context.
Data Cleaning and Pre-processing:
- Handle missing values, either by imputing or removing them based on their relevance.
- Convert data types if necessary (e.g., dates, categorical data).
- Remove any duplicate entries.
Exploratory Data Analysis (EDA):
- Use visualization tools to understand the distribution and trends in the data.
- Identify key metrics like engagement rates, post reach, and user demographics.
- Check for any patterns or anomalies in posting times, content types, or engagement.
Define Key Questions (here are a few examples, not exhaustive):
- What are the most engaging types of posts?
- Which platform yields the highest engagement for the client?
- What are the peak times for user engagement?
- Are there any noticeable trends over time (e.g., increasing likes, decreasing shares)?
Feature Engineering:
- Based on EDA, create new metrics or indicators that might be more informative. For instance, engagement rate as a ratio of engagements to impressions.
Deep Dive Analysis:
- Use statistical methods or machine learning (if applicable) to understand underlying patterns or to predict future trends.
- Segment data to find insights specific to certain demographics or post types.
Insight Generation:
- Based on the analysis, derive actionable insights.
- Translate these insights into recommendations for the client.
Visualisation:
- Use graphs, charts, and other visualisation tools to make your findings easily digestible.
- Ensure that visualisations are clear and can be understood by someone without a technical background.
- Provide a shareable link to the visualisation
Report Compilation:
- Organize your findings, insights, and recommendations in a structured report.
- Ensure clarity and simplicity in conveying complex data insights.