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I’ve uploaded Coca-Cola’s demand-planning dataset—products, regions, months, forecast figures, actual sales, and current inventory—and I need it transformed into a clear, insight-rich Power BI report. The core story I want to surface is the trend between forecasted and actual demand; bar charts feel the most intuitive for side-by-side comparison, but you’re free to layer in other visuals where they strengthen the narrative. Start by shaping a robust data model: sensible relationships, clean dimension tables, and calculated measures such as forecast accuracy %, absolute variance, and days-of-inventory-on-hand. From there, craft a dashboard that lets stakeholders instantly see where we are consistently over- or under-forecasting, how those gaps evolve month over month, and which regions or product lines drive the discrepancies. Useful complements—think inventory burn-down cards, quick regional filters, or dynamic drill-through to SKU level—are welcome if they enhance decision making. Deliver a Power BI (.pbix) file plus a short write-up (one pager or slide) that walks me through your modeling logic, key DAX formulas, and the business insights you uncovered. The report should open error-free in the latest Power BI Desktop and refresh cleanly against the supplied data.
Proje No: 40068110
3 teklifler
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As a seasoned data analyst and finance professional, I have amassed extensive experience in transforming diverse datasets into valuable insights, just like what your Coca-Cola demand forecasting dataset requires. My proficiency extends to all the crucial tools needed to accomplish this project effortlessly, especially Power BI. I can assure you of a comprehensive data model, effectively-designed visuals including bar charts and appropriate calculated measures Moreover, my competent grasp of statistics enables me to draw phenomenally informative patterns from raw data. Your requested metrics such as forecast accuracy %, absolute variance, and days-of-inventory-on-hand will be meticulously and accurately developed using DAX formulas. I’ll then explain my modeling logic and every key formula in an uncomplicated one-pager or slide. Lastly, I consider your satisfaction with the final product as crucial as the technical completion of the project. Over my career span, I've maintained a 100% commitment towards exceeding client expectations while honoring agreed-upon deadlines. With superior communication skills and a proactive problem-solving approach, I am poised to deliver an error-free Power BI report that refreshes effortlessly against your dataset - an invaluable tool optimizing decision making processes for your stakeholders. Let's get started!
₹1.500 INR 1 gün içinde
2,9
2,9
3 freelancer bu proje için ortalama ₹1.167 INR teklif veriyor

Hi, Combining my 10 years of professional experience as a Data Analyst, Web Developer, QA Specialist and Technical Writer with your project requirements makes for a perfect match. Throughout my career, I have consistently helped businesses turn complex data sets into meaningful and actionable insights. My proficiency with noted tools including but not limited to Python, R, SQL, Excel, Power BI, Tableau, Pandas, NumPy and SPSS will allow me not only to handle tasks like shaping a robust data model with ease but also to develop calculated measures such as forecast accuracy %, absolute variance, and days-of-inventory-on-hand. What sets me apart is my ability to identify key information themes in large quantities of data - a skill that will prove pivotal in unraveling the trend between forecasted and actual demand as well as constructing a clear portrayal of this data using various visualization approaches including bar charts. Additionally, I promise to go beyond what has been asked for by infusing elements like inventory burn-down cards, dynamic drill-throughs to SKU level which enhance decision making. I believe that true insights are born from data that goes beyond the basic scope. Trust me with your project and let's transform your dataset into insight-rich reports that spotlight the trends between forecasted and actual demand in a clear-as-day manner.
₹1.000 INR 1 gün içinde
1,4
1,4

Hello, This project is a strong match for my experience in Power BI, demand planning, and business analytics. I will build a clean data model with proper relationships and dimension tables for products, regions, and time. Key DAX measures will include forecast accuracy %, absolute and percentage variance, bias, and days of inventory on hand. The dashboard will focus on clear bar charts comparing forecasted vs actual demand. Month-over-month trends will highlight consistent over- or under-forecasting patterns. Regional and product-level views will identify key drivers of discrepancies. Interactive filters and drill-through to SKU level will support deeper analysis. Inventory burn-down and risk indicators will enhance decision-making. You will receive an error-free Power BI (.pbix) file with clean refresh. A short write-up will explain the data model, DAX logic, and business insights.
₹1.000 INR 2 gün içinde
0,0
0,0

Richardson, United States
Ödeme yöntemi onaylandı
Haz 16, 2014 tarihinden bu yana üye
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