Results for Tableau

Data Visualisation: Empowering Business with Effective Insights

logo

This virtual experience program is with Tata Insights and Quants or Tata iQ hosted on the platform Forage. We will gain insight into how passionate multi-disciplinary experts solve some of the most complex business problems using data visualization solutions, such as Tableau and Power BI and create amazing stories which are hidden under the mountains of data generated.

The program will show you what kind of problems are solved at Tata Insights and Quants on a day-to-day basis and will attempt to emulate the challenges you will be facing.

As a consultant hired by an online retail store, I was tasked with reviewing their data and providing valuable insights to the CEO and CMO. The objective was to analyze the major contributing factors to the company's revenue to help them plan strategically for the next year. The leadership wanted to view the metrics from both an operations and marketing perspective and seek guidance on areas performing well, so they could focus on what's working. They were also interested in understanding different metrics based on demographic information available in the data.

Task 1: Framing the Business Scenario
Learn how to anticipate the questions your business leaders will need answers to.

To prepare for the upcoming meeting with the CEO and CMO, I approached the task with a business leader's mindset, aiming to analyze the data effectively and present insights that would help evaluate the current business performance and suggest metrics for expansion.

I accessed the provided resources to better understand how business leaders think and approach business performance, which helped me gain valuable perspectives.

To prepare for your meeting, I need to draft questions that will be important and relevant to the CEO and CMO. I have reviewed the provided dataset to identify valuable information and insights. Based on my analysis, I have drafted four questions each for both the CEO and CMO, considering their distinct perspectives.

Questions for the CEO:
  1. What are the top-performing product categories in terms of revenue, and how have they evolved over the past year? Are there any specific trends or seasonal patterns that stand out?
  2. What regions or countries have shown the highest revenue growth, and what strategies have been employed in those regions to achieve such success? How can we replicate these strategies in other markets?
  3. How has the customer retention rate changed over the last year, and what initiatives have been implemented to improve customer loyalty? What can we do to further increase customer retention and lifetime value?
  4. What is the profitability breakdown across different customer segments, and which segments contribute the most to our overall revenue? Are there any untapped customer segments with growth potential?
Questions for the CMO:
  1. How effective have our marketing campaigns been in terms of customer acquisition and conversion rates? Which marketing channels have yielded the highest returns, and how can we optimize our marketing budget allocation?
  2. What are the key demographic insights of our customer base? How do different demographics (age, gender, location, etc.) impact customer behavior and preferences, and how can we tailor our marketing strategies accordingly?
  3. Are there any notable changes in customer sentiment or brand perception based on online reviews and feedback? How can we address any negative sentiment and leverage positive feedback to strengthen our brand image?
  4. What role does social media play in our revenue generation, and which platforms have been most impactful? How can we leverage social media influencers and user-generated content to expand our reach and engage with our target audience effectively?

By addressing these questions during the meeting, I intend to provide the CEO and CMO with actionable insights that will guide their decision-making process, help them evaluate the current business performance, and support their plans for strategic expansion.


Task 2: Choosing the Right Visuals
Learn which visuals are most effective in a given scenario.

In this task, I was tasked with providing visualizations to the CEO and CMO of an online retail store. The goal was to help them understand the company's performance, identify key strengths, and uncover growth opportunities for increased revenue. To ensure accurate representation of the data, I carefully gathered the requirements and created simple yet effective visuals. By using appropriate charts such as line graphs, bar graphs, map charts, I presented insights on sales trends, product category distribution, and correlations between marketing expenditure and revenue. The objective was to enable the senior management to quickly grasp the company's performance and make informed decisions for future growth and success.


Task 3: Creating Effective Visuals
Apply your under and create visuals based on business scenarios.

In this task, I have to create the visuals around four of the questions that the CEO and CMO have requested. In this task I used Tableau for the data visualization and to create a charts for the respective KPI.

Data cleanup
Before proceeding to data analysis there is a need for data cleanup. I observed that there were some negative values present in the quantity & price field that I have removed.
Also the client has provided 2 conditions for the data analysis.
  • Create a check that the quantity should not be below 1 unit
  • Create a check that the Unit price should not be below $0

Question 1
The CEO of the retail store is interested to view the time series of the revenue data for the year 2011 only. He would like to view granular data by looking into revenue for each month. The CEO is interested in viewing the seasonal trends and wants to dig deeper into why these trends occur. This analysis will be helpful for the CEO to forecast for the next year.


According to my analysis, there are some months of the year that experience exceptional growth. According to the data, the first eight months' revenue were relatively stable, with an average of $685k in revenue each month. The revenue rises by 40% over the prior month in September, marking the beginning of the revenue increase. This pattern persisted up until November, when it reached 1.5 million USD, the highest amount of the entire year. Unfortunately, since the data for December has been missing, no inferences can be made from it. This analysis shows how seasonality, which usually happens in the last four months of the year, impacts retail store sales.

Question 2
The CMO is interested in viewing the top 10 countries which are generating the highest revenue. Additionally, the CMO is also interested in viewing the quantity sold along with the revenue generated. The CMO does not want to have the United Kingdom in this visual.


The second visual shows how the top 10 countries which have opportunities for growth are performing. This data does not include the UK as the country already has high demand and I’ve been told you’re more focused on the countries where demand can be increased. The analysis shows that countries such as the Netherlands, Ireland, Germany and France have high volumes of units bought and revenue generated. I would suggest that these countries should be focused on to ensure that measures are taken to capture these markets even more.


Question 3
The top 10 countries with the most potential for growth are represented in the second graph. Since the UK already has a high demand and I understand you are more interested in countries where demand can be increased, the UK is not included in this data. According to the analysis, sales of units and revenue are very high in nations like the Netherlands, Ireland, Germany, and France. To ensure that steps are taken to further seize these markets, I would propose concentrating on these nations.


The top 10 customers who have made the most purchases from the store have been the focus of the third analysis. According to the data, there aren't many differences between the top 10 customers' purchases. The fact that the highest revenue-producing customer only spent 17% more than the second-highest demonstrates that the company does not rely solely on a small number of customers to generate revenue. This demonstrates that the company is in a strong position and that the customer's power of negotiation is low.


Question 4
The CEO is looking to gain insights on the demand for their products. He wants to look at all countries and see which regions have the greatest demand for their products. Once the CEO gets an idea of the regions that have high demand, he will initiate an expansion strategy which will allow the company to target these areas and generate more business from these regions. He wants to view the entire data on a single view without the need to scroll or hover over the data points to identify the demand. There is no need to show data for the United Kingdom as the CEO is more interested in viewing the countries that have expansion opportunities.


The map chart concludes by comparing the regions that have produced the most revenue to those that have not. Apart from the UK, it is clear that nations like the Netherlands, Ireland, Germany, France, and Australia generate high revenue, and the business should invest more in these nations to boost product demand. The map also reveals that the majority of sales occur exclusively in the European region, with only a small number in the American region. Along with Russia, there is no market for the products in Africa or Asia. Sales revenues and profitability could increase with the implementation of a fresh strategy focused on these areas.


Task 4: Communicating Insights and Analysis
Effectively communicate your findings and explain how it relates to each scenario.



In this task I represented my thought process and how I handled the data cleanup and visualisation phase. I clearly presented the analysis of all four questions from the previous task raised by CEO & CMO and provided context for each scenario and how it relates to their questioning.



Technology Topper Wednesday, August 02, 2023
Read more ...

Maven Northwind Challenge | Maven Analytics Project

Introduction:
This project is a submission for the #mavennorthwindchallenge conducted by Maven Analytics. As a BI developer at Northwind Traders, I have been given the exciting responsibility of creating a comprehensive KPI dashboard for our executive team. This dashboard will serve as a valuable tool for them to gain quick insights into our company's performance across various crucial areas. These areas include:
  • Sales trends
  • Product performance
  • Key customers
  • Shipping costs
By presenting this information in an easily digestible format, the executive team can make informed decisions and steer the company towards continued success.
Talking about dataset it includes 7 tables in the form of csv format which contains Sales & order data for Northwind Traders, food supplier, including information on customers, products, orders, shippers, and employees.

In today's highly competitive business landscape, companies rely on data-driven insights to make informed decisions and stay ahead of the curve. Northwind Traders, a leading global import and export company specialising in gourmet food products, understands the value of data analysis in driving success. As a BI developer for Northwind Traders, I had the opportunity to build a comprehensive KPI dashboard that provides the executive team with a bird's-eye view of the company's performance across crucial areas. In this blog post, we will delve into the key features and insights offered by this powerful dashboard.

Maven Northwind Challenge Tableau Dashboard
Maven Northwind Challenge



Sales Trends:
Understanding sales trends is vital for any business. Northwind Traders' KPI dashboard provides a clear visualisation of sales performance over time. Executives can quickly identify patterns, seasonal fluctuations, and growth areas. By analysing sales trends, they can make strategic decisions regarding inventory management, marketing campaigns, and sales projections.
Total sales done by Northwind Traders were $1.35M from Q3 of 2013 to Q2 of 2015, with total orders of 830. The highest sale was done in 2015 Q1, i.e., $57K, with the highest orders of 182.
The total sales for the Northwind Traders are increasing year over year.

Year

Total Sales

2014

$82,791.05

2015

$77,930.02

2013

$26,231.00


Product Performance:
The success of individual products can significantly impact a company's overall revenue. With the KPI dashboard, Northwind Traders' executives gain a comprehensive understanding of product performance. They can assess sales volume, revenue generated, and profitability for each product category. Armed with this information, they can optimise the product portfolio, identify top-performing items, and strategically allocate resources to drive growth.
There were a total of 77 products sold in 8 product categories. The highest product sold was Raclette Courdavault, with $76.3K. According to sales, the Cote de Blaye is the product with the highest sales of $149.98K. The most popular product category was beverages, with a total quantity sold of 404 and total sales of $286.55K.

Key Customers:
Maintaining strong relationships with key customers is crucial for sustainable business growth. The KPI dashboard highlights the company's most valuable customers based on various metrics such as revenue generated, repeat purchases, and customer loyalty. This insight allows executives to focus on nurturing these relationships, tailoring offerings to their specific needs, and identifying potential upsell or cross-sell opportunities.
Northwind Traders has a total of 91 customers across 21 countries. The United States has the most customers, followed by Germany. The top customer for the Northwind Traders was Hanari Carnes, with total sales of $18.3K.

Shipping Costs:
Efficient supply chain management is a critical factor in maximising profitability. The dashboard provides a detailed breakdown of shipping costs, enabling executives to identify areas of potential cost savings, optimise logistics, and negotiate better terms with shipping providers. This information helps Northwind Traders streamline operations and enhance overall profitability.
There are three shippers who supply the food products for the Northwind Traders. United Package Shipper Company supplied the maximum 326 products with the highest total sales of $89.94K, followed by Federal Shipping with total sales of $50.50K in 2nd place and Speedy Express in 3rd place with total sales of $46.51K.

Conclusion:
Northwind Traders' KPI dashboard equips the executive team with a comprehensive overview of the company's performance in key areas. By leveraging data visualisations and actionable insights, executives can make informed decisions, drive growth, and maintain a competitive edge in the gourmet food industry. This powerful tool empowers Northwind Traders to monitor sales trends, evaluate product performance, nurture key customer relationships, and optimise shipping costs. With a data-driven approach, Northwind Traders is well-positioned to continue its success and expand its global reach.



Technology Topper Sunday, May 21, 2023
Read more ...
Superstore Sales Analysis Project | Tableau Project

Tableau Superstore Dataset is a sample Dataset provided by Tableau which includes data for the Sales of multiple products sold by a company along with subsequent information related to geography, Product categories, and subcategories, sales, and profits, segmentation amongst the consumers, etc.

Dataset Description:

Column

Data Type

Column

Data Type

Order ID

String

Postal Code

Geographic

Order Date

Date

Region

String

Ship Date

Date

Product ID

String

Ship Mode

String

Category

String

Customer ID

String

Sub-Category

String

Customer Name

String

Product Name

String

Segment

String

Sales

Number

Country

Geographic

Quantity

Number

City

Geographic

Discount

Number

State

Geographic

Profit

Number


Superstore dataset contains the hierarchical data column Order date & ship date in the form of Year-Month-Week. Also for geographical form Region-State-Country-City. In this project I have connected the superstore dataset to the tableau. After importing the dataset in tableau I have represented the analysis in the form of a dashboard.


  • Superstore dataset includes three types of products categories i.e. Technology, Office Supplies & Furniture. Total sales was $2.30M with total 9994 orders & 1862 type of products which ordered by total 793 customers. The total quantity sold was 37873.
  • For the office supplies product category total 6026 orders were placed by 788 customers with total quantity of 22906. Overall sales for the office supplies product category was $719.05K.
  • For the technology product category total 1847 orders were placed by 687 customers with total quantity of 6939. Overall sales for the technology product category was $836.15K which is more than any other category.
  • For the furniture product category total 2121 orders were placed by 707 customers with total quantity of 8028. Overall sales for the furniture product category was $742.00K.
  • Chairs has maximum share in the sales, but there is not much difference between the Chairs and the Book cases. Storage has maximum share in the sales. Additionally, around 50% of the share in Office supplies is accounted by Storage and Appliances. There is a huge gap in the contribution between the first Two and the others. Phones has maximum share in the sales and followed by the Copiers- which together account for 50% of total Technology sales.
  • West region is the most profitable region as compare to other regions. Total sales for the West region was $725.46K with total orders of 3203 ordered by 686 customers.
  • New York City was at the top in terms of profit(62K) with total 256.37K Sales follwed by Los Angeles with 30.44K Profit.
  • I visualized and analyzed various use cases in the superstore dataset. I got some insightful results about profit and sales that can be used to improve future policies. I also found a trend over the year, so preparations in stores and warehouses for the next year can be made accordingly, and sales and profit can increase. Stores must focus on other regions, such as the South and Central, to increase sales in these areas. We can now confidently pick up more datasets to define use cases for and visualize them in Tableau.



Technology Topper Tuesday, November 29, 2022
Read more ...