This project focuses on data mapping, integration, and analysis to support the development and enhancement of six UNCDF operational applications: OrgTraveler, Comms Central, Internal Support Hub, Partnership 360, SmartHR, and TimeTrack. These apps streamline workflows for travel claims, internal support, partnership management, and time tracking within UNCDF.Key Features and Tools:Data Mapping for Salesforce CRM Migration: Structured and mapped data flows to ensure compatibility and seamless migration to Salesforce CRM.Python for Data Cleaning and Transformation: Utilized pandas, numpy, and APIs to clean, preprocess, and transform raw datasets into standardized formats.Power BI Dashboards: Designed interactive dashboards to visualize workflows and monitor performance metrics for decision-making.Collaboration Across Platforms: Integrated Google Collab for code collaboration and Microsoft Excel for data validation and analysis.

Power BI Consulting Service Market Outlook

The global Power BI Consulting Service market size was valued at approximately $1.2 billion in 2023 and is projected to reach around $4.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 16.3% during the forecast period. This substantial growth is driven by the increasing adoption of business intelligence and data analytics tools across numerous industries.

One of the primary growth factors for the Power BI Consulting Service market is the escalating demand for data-driven decision-making across various sectors. As organizations increasingly recognize the value of business intelligence tools in extracting actionable insights from raw data, the need for skilled consultants to implement and manage these tools has surged. Moreover, the proliferation of big data and the rising importance of data visualization techniques are further propelling market growth. Companies are looking to leverage Power BI's robust capabilities to transform complex data sets into intuitive and interactive dashboards, thereby enhancing their strategic decision-making processes.

Another significant driver for the market is the rapid digital transformation and the shift towards cloud-based solutions. With the advent of cloud computing, enterprises of all sizes are investing heavily in cloud infrastructure, which offers flexibility, scalability, and cost-effectiveness. Power BI, with its seamless integration with various cloud services and platforms, is becoming a go-to solution for businesses aiming to modernize their data strategies. Consequently, the demand for consultancy services to assist in the smooth adoption and integration of Power BI into existing IT ecosystems is on the rise.

The increasing trend of remote work and the need for real-time data access and collaboration have also contributed to market expansion. As businesses adapt to the new normal brought about by the COVID-19 pandemic, there is a growing requirement for tools that facilitate remote collaboration and instant data sharing. Power BI's capability to provide real-time analytics and its ease of use make it an attractive option for businesses looking to maintain productivity and efficiency in a distributed work environment. This has led to heightened demand for consulting services to ensure that organizations can effectively leverage Power BI to meet their dynamic needs.

Regionally, North America is expected to hold a dominant position in the Power BI Consulting Service market, driven by the presence of numerous technology giants and high adoption rates of advanced analytics tools. However, the Asia Pacific region is anticipated to witness the fastest growth, attributed to the burgeoning IT sector and increasing digital initiatives by governments and businesses. European markets, with their focus on regulatory compliance and data protection, also present significant opportunities for growth in the Power BI consulting domain.

In the realm of business intelligence, Win-Loss Analysis Service is gaining traction as a crucial tool for organizations striving to understand their competitive positioning. This service involves a detailed examination of past business deals, identifying factors that contributed to wins and losses. By leveraging insights from Win-Loss Analysis, companies can refine their strategies, enhance customer engagement, and improve their overall sales effectiveness. The integration of such analysis with Power BI enables businesses to visualize patterns and trends, offering a comprehensive view of market dynamics. As organizations seek to optimize their decision-making processes, the demand for Win-Loss Analysis Service is expected to rise, complementing the growth of Power BI consulting services.

Service Type Analysis

The Power BI Consulting Service market can be segmented by service type into Implementation, Training, Support, and Maintenance. Among these, the implementation segment is expected to hold the largest market share during the forecast period. The increasing complexity of data environments and the need for customized solutions are driving the demand for implementation services. Organizations often require expert assistance to configure and deploy Power BI according to their specific requirements, ensuring that the tool integrates seamlessly with existing systems and processes.

Training services are also gaining prominence as businesses strive to empower thei

Analyzing sales data is essential for any business looking to make informed decisions and optimize its operations. In this project, we will utilize Microsoft Excel and Power Query to conduct a comprehensive analysis of Superstore sales data. Our primary objectives will be to establish meaningful connections between various data sheets, ensure data quality, and calculate critical metrics such as the Cost of Goods Sold (COGS) and discount values. Below are the key steps and elements of this analysis:

1- Data Import and Transformation:

• Gather and import relevant sales data from various sources into Excel.
• Utilize Power Query to clean, transform, and structure the data for analysis.
• Merge and link different data sheets to create a cohesive dataset, ensuring that all data fields are connected logically.

2- Data Quality Assessment:

• Perform data quality checks to identify and address issues like missing values, duplicates, outliers, and data inconsistencies.
• Standardize data formats and ensure that all data is in a consistent, usable state.

3- Calculating COGS:

• Determine the Cost of Goods Sold (COGS) for each product sold by considering factors like purchase price, shipping costs, and any additional expenses.
• Apply appropriate formulas and calculations to determine COGS accurately.

4- Discount Analysis:

• Analyze the discount values offered on products to understand their impact on sales and profitability.
• Calculate the average discount percentage, identify trends, and visualize the data using charts or graphs.

5- Sales Metrics:

• Calculate and analyze various sales metrics, such as total revenue, profit margins, and sales growth.
• Utilize Excel functions to compute these metrics and create visuals for better insights.

6- Visualization:

• Create visualizations, such as charts, graphs, and pivot tables, to present the data in an understandable and actionable format.
• Visual representations can help identify trends, outliers, and patterns in the data.

7- Report Generation:

• Compile the findings and insights into a well-structured report or dashboard, making it easy for stakeholders to understand and make informed decisions.

Throughout this analysis, the goal is to provide a clear and comprehensive understanding of the Superstore's sales performance. By using Excel and Power Query, we can efficiently manage and analyze the data, ensuring that the insights gained contribute to the store's growth and success.

Introduction The following analysis is on the case study that I have been working on as a junior data analyst in marketing department on bikeshare trip data. For the case study I have used Power Query and PowerBI to perform analysis.

About the Company Divvy is the Chicago based bike sharing company, which launched bike sharing program in 2016, and received great response from their audiences. Their competitive advantage was the flexibility in pricing strategy: single-ride passes, full-day passes and annual membership. Customers who purchased Single-ride and full day were casual riders and those who purchased annual passes were members.

They offered 3 types of bike rides - Electric, classic and docked. The main goal of the company is to convert the casual riders to members, develop the marketing strategy that targets new customers as well as casual riders and to use digital media to influence casual riders.

Project stakeholders • Director of marketing • Marketing analytics team • Executive Team

Key tasks • Data validation • Data collection • Data manipulation • Data transformation • Data analysis • Data visualization • Recommendations

Project Objectives • How do annual members and casual riders use cyclistic bikes differently? • Why would casual riders buy cyclistic annual memberships? • How can cyclistic use digital media to influence casual riders to become members?

Methodology The data has been made available by Motivate International Inc. under this https://divvy-tripdata.s3.amazonaws.com/index.html. The analysis has been done from January 2023-December 2023 in CSV format. With the help of PowerBI, 12 months of data was merged and transformed, removing the duplicates and formatting. The extra data columns were removed, ‘ride length’ was calculated implanting Power Query formula using ‘started’ and ‘ended’ columns. ‘Day of week’ was assigned through ‘started’ Column using Power Query. New columns were added to separate time and date and were named as ‘Start Hour’ and ‘End hour’. Later, closing and loading the data for analysis. New measures were added to the data table using DAX function, to calculate ‘Average ride length’, ‘Number of rides’, ‘Casual riders count’ and ‘member riders count’.
Before we dive into the data visualization, lets get a grip of the types of bikes company is providing and their functions. Overall there are 3 kinds – Electric, Classic and docked.

Electric Bike • Equipped with motor and battery. • Assist while pedaling. • Best to cover more ground and uphill climbs.

Classic bike • Traditional bike without any battery or motor. • Easy to use. • Best for workout.

Docked Bike • Station-based system bikes. • Fixed station. • Best for planned rides.

Analyze • The data shows that casual riders count was 2M which accounted 36% of the company’s audience. • 1.1M of casual riders opted electric bike which is more than 50% of them, 876,881 of casual riders opted for classic bike and 78,287 of casual riders opted for docked bike. • There has been an increase in casual riders after Q1, which was gradually falling by the end of Q4. This also means that summer is the highest peak for casual riders with highest use of electric bikes followed by classic bikes. Chances of tourists are higher in those casual riders.

• Time of the day: Member riders number increased between 5 AM – 9 AM and then again saw a peak between 3PM- 5PM, which clearly state the office hour, college/university timing. • Casual riders were also seen using by 6AM but there was a gradual increase in their usage till 5PM. • Comparing the usage of bikes between casual riders and member riders, members were using bikes more during weekdays, assuming because of work, whereas casual riders were using bikes more during weekend. • Q2 and Q3 are the busiest time of the year for the company for both members and casual riders.

Recommendation In this case, my suggestion as a junior data analyst of marketing team to the company would be: • Understanding the target market and user preferences, company should focus on coming up with the marketing strategy that is focusing on locals being casual riders as well as tourist being casual riders. • For locals, two different promotion strategies should be made, one for classic bike and another for electric bike. As classic bikes are used more by casual riders, keeping the fitness category, the promotion should include points/reward system which they can redeem anytime in the month especially if they choose the weekend they get extra benefit like a free ride, a tracker on the bike which encourage when to do next and how long should be the ride. • For electric bike users, keeping the distance in mind, the promotion should include points/reward system which they can redeem anytime in month such as they get free next ride if they sign up and can enjoy one day free ...