Sales and Financial Performance
Sales and Finance Dashboard Why a unified Sales & Finance dashboard matters (and what it actually fixes) The Importance of This Dashboard Most teams split sales tracking from financial reporting. Sales sees revenue; Finance sees cost. They rarely meet in one place until it’s too late. This dashboard exists to close that gap. It connects execution to profitability. You can move from an executive summary down to the individual transaction without switching tools. It shifts the conversation from “How much did we sell?” to “What did we actually earn?” Profit, COGS, margin, and cost-per-unit are built in—not calculated separately. It serves both micro and macro decisions. The same structure supports a rep reviewing their profile, a manager coaching a team, or a leadership team reviewing monthly trends. It replaces scattered reports with one interactive source. Year, country, category, and product filters apply across views, so the data stays consistent. Key Benefits of Having It For Sales Managers & Team Leads Manage by profit contribution, not just revenue. Identify which countries, categories, or users are pulling the team down. Compare team/rep performance on a common baseline. For Finance / Controllers / CFO Monitor true profitability by geography and product line. See cost structure (COGS) directly against revenue without manual reconciliation. Validate margin efficiency at a glance. For Executives / Leadership Get a high-level pulse (revenue, profit, shipments, trends) instantly. Spot concentration risk and monthly shifts without waiting for static reports. Make faster strategic calls backed by consistent data. For Operations / Analysts Drill from summary to line-item detail when needed. Filter, search, and audit individual transactions by date, rep, country, or product. Reduce time spent stitching spreadsheets together. For Individual Sales Reps Understand their full impact—revenue, units, profit, and margin—not just a top-line number. Track YoY progress in one view rather than across multiple files. Bottom Line Benefit You stop making decisions on half the story. Revenue without cost is misleading; cost without sales context is blind. This brings both into one workflow, faster decisions, clearer accountability, and less reporting overhead. For more, visit: https://arbazahmad-bi.netlify.app/ Thank you.Project Management Dashboard
I have done some Analysis on Microsoft's Project "Project Management Dashboard" for a few days. Some specific features you might see on your project management dashboard include: Tasks, with estimated completion time and ability to track time Project Benefit and Project Cost By Project Manager Projects wise type and region eyJrIjoiZWRjZTE0ZDEtZjI2MS00OTU5LThmY2ItNDFlNTlhOTljMDBjIiwidCI6ImJmYjZiODdiLTViODUtNDkxMS1hYWMxLTJkODIyMThiOGQ4ZCIsImMiOjl9FP20 ANALYTICS CHALLENGE “IT Help Desk Analysis"
WELCOME TO FP20 ANALYTICS CHALLENGE “IT Help Desk Analysis" ABOUT Welcome to FP20 Analytics Challenge 8! With this challenge, we are going to analyse IT service ticket data to build our own operational dashboards to measure metrics over time. Your dashboard will help the organization identify automation candidates, optimize usage, and reduce costs. THE BRIEF Within this challenge, you are presented with a reliable dataset that shows the IT tickets data and Agents’ profiles for a fictitious company that you work for. You will provide your actionable insight into your organization trends, usage patterns, systems behaviours, service level agreement etc. It will help our IT department to stay up to date with industry developments. Thanks, eyJrIjoiZWExNTM2NzctZWVmZi00YTAwLWJhOTctZmI1ZTg2ZTllMDA5IiwidCI6ImQ4ZTFiMDVlLTcwYWEtNGVmNy1iODc4LTQ2NmI2ODhmOTUyZiJ9
Call Center Analytics Dashboard
The Call Center Analytics Dashboard on Mokkup.ai offers crucial insights into call center performance, guaranteeing the most effective use of resources and the provision of customer support. Let's discuss the dashboard features: Summary Dashboard: This dashboard provides a thorough knowledge of incoming client calls. It handles important problems, including how completed, disbanded, and missed calls relate to the prior time frame, as well as developments in metrics like average conversation duration, completed calls, and abandoned calls. Additionally, it examines call analytics by category, the breakdown of sales from service calls, and the cost per contact. Detailed View Dashboard: This dashboard focuses on certain departments and functions to look further into incoming calls. On average, handling time, wait time, call transfer percentage, held call percentage, and abandoned call percentage are all significant statistics that are broken down by function. It also summarizes call analytics by function and product and assesses the effectiveness of cross-selling programs. Businesses can effectively distribute customer service executives across functional areas depending on call volume using the data provided by the Call Center Analytics Dashboard. It makes it possible to pinpoint training requirements for executives to improve their functional knowledge, guaranteeing quick and efficient replies to client inquiries. This blog is essential for enhancing performance, providing excellent customer service, and optimizing call center operations. eyJrIjoiNjkzNTIwNjItZTE0NS00MzJlLTg5ZjQtYzlkMWIyZjIwNDVjIiwidCI6IjM4ZDVlNDBjLTliZDYtNDFmYi04OTUxLWMzODdjOTcwMThkOSIsImMiOjEwfQ%3D%3DExecutive Dashboard
Executive Dashboard — Built for Decision Makers I recently developed in Power BI, designed specifically for senior leaders who need clarity, speed, and strategic focus in their decision-making. The report covers: Overview – High-level KPIs: Revenue, Profit, Orders, Quantity Sold Market & Customer – Segment and region performance Product – Category-level insights and contribution Transactions – Operational flow and order trends What sets this apart? It’s built on the principle that less is more when it comes to executive reporting. I focused on creating a clutter-free, insight-first design by: Highlighting the most actionable KPIs with YoY variance Using clean, minimal visuals with consistent themes Grouping data logically for easy scanning Eliminating noise—no redundant charts, no decorative clutter Making interaction seamless with intuitive slicers and drill-downs Thanks, eyJrIjoiNjExMDhkYzgtNzFjZC00NWVjLThlZTktYjRiZDhmNzRlNDY2IiwidCI6ImQ4ZTFiMDVlLTcwYWEtNGVmNy1iODc4LTQ2NmI2ODhmOTUyZiJ9
Loomy Lime
Hi Power Bi community! We have recently launched numerro, a Power Bi template store, where we try to bring design to Power Bi with simple, beautiful, custom-designed templates. Today we present to you: Loomy Lime. Loomy Lime features: Designed with multiple tracking visuals that help you understand the split of your data. A stunning gradient mint-green palette. Multi-level slicer menu with text in a stylish overlay section to help you easily navigate through your data. Sticky tab menu on the side allowing you to jump seamlessly between the different tabs of your report. Completely customizable branding logo helping you fully personalize your report. If you are interested in seeing our full template collection, feel free to pay us a visit at numerro.io, and let us know what you think! We hope you enjoy the report! Thanks all! Viktor eyJrIjoiYmU0ZjYzYmItMTE0NC00NTRiLTkwZTYtNDkzZDYwOTA5ZWI5IiwidCI6IjRiYjUwOGE5LTc1MzQtNGY0OC1iOTQxLTNkNDhlZGY5YzM3YSJ9Procurement Dashboard
Hello Datafam Hope you are doing well! Procurement Dashboard! Power BI Solution for Strategic Insights. A dynamic and interactive dashboard developed to optimize procurement performance and enhance supplier oversight through data-driven insights. 📊 Core Capabilities: Executive Overview: Summarizes key metrics such as Cost Price, Net Cost, Order Volume, Quantity, and Year-over-Year growth Order Analysis: Breaks down order statuses with on-time delivery rate, average delivery time, and monthly fulfillment trends Transaction Analysis: Delivers granular visibility into unit pricing, discounting, and supplier-level delivery performance Built with a focus on: ✔️ Operational transparency ✔️ Supplier performance tracking ✔️ Strategic cost management ✔️ Real-time procurement monitoring With clean visuals, interactive filters, and intuitive design, this dashboard supports smarter, faster procurement decisions—from strategic sourcing to supplier optimization. Thanks, eyJrIjoiM2Q5YTMwNjEtZDAyOS00YTMyLTk3NDgtZDEyNmFlYTdlZjE2IiwidCI6ImQ4ZTFiMDVlLTcwYWEtNGVmNy1iODc4LTQ2NmI2ODhmOTUyZiJ9Sport Products Sales Analysis
FP20 ANALYTICS CHALLENGE “Sport Products Sales Analysis” About - FP20 Analytics Challenge 7! With this challenge, we are going to dive into sales analysis about sport products. As more sports brand emerged in the market, the sales analysis is significant to provide insights for the investors to compete with rivals and see market trend. Task - Within this challenge, you will be given access to a rich dataset that shows the historical sales record in some main sport retailers in the USA. The investors expect you to find the geographical sales trend by different retailers. You will need to interpret the data, identify key trends and patterns, and present your findings clearly, comprehensively, and compellingly. Briefly, we highly encourage you to explore some areas listed as below (not limited for these): • Sales analysis by region/state • Sales analysis by product category • Sales analysis by sales channel • Sales analysis by customer segmentation • Profitability analysis by product • Price strategy for products Thanks, eyJrIjoiNThiMThmYzEtMDZkNi00ZWFlLTlmYWEtYjY2M2Q4YzdmNTg1IiwidCI6ImQ4ZTFiMDVlLTcwYWEtNGVmNy1iODc4LTQ2NmI2ODhmOTUyZiJ9Revenue, Cost & Profit Scenarios - Sensitivity Analysis (“What if” Analysis)
Sensitivity Analysis (“What if” Analysis) Implementation In Power BI Sensitivity analysis helps one make informed choices. Decision-makers use the model to understand how responsive the output is to changes in certain variables. Thus, the analyst can be helpful in deriving tangible conclusions and be instrumental in making optimal decisions The key point in doing the What If analysis is to identify the variables that you need to shock or adjust in your data sets. These variables should be the ones that can significantly affect the performance of a particular scenario that you might want to overlay on your results. It could be pricing, demand, costs, sales, or competition. Then, you need to think about how you can incorporate the What If Parameters into those variables, and analyze how you can effectively implement the analysis that you’re trying to do. In this dashboard - i am trying to visualize that - what will happen ? if we changes price, Cost & Quantity / Volume, then what will be the predicted revenue or profit on current trend basis. Thanks, eyJrIjoiMDcyZjIwNjgtZTE0My00Yzg1LWJiYTMtZjJlMjI5Y2YxNjUzIiwidCI6ImQ4ZTFiMDVlLTcwYWEtNGVmNy1iODc4LTQ2NmI2ODhmOTUyZiJ9
