Power BI Ticketing Dashboard

@jinufeb14

As a seasoned data analyst with advanced skills in Excel and profound knowledge of Power BI, I have a keen understanding of your project's requirements. I am confident that my alignment with the core goals of this task and my proven track record in providing clear and concise visuals will be pivotal in delivering the insightful ticketing dashboard you need. In my extensive experience, I've developed impeccable skills for performance measurement, data slicing, and transforming raw data into polished reports, aligning exactly with your expectations. With MTTR and SLA status accurately calculated for every ticket, intelligent visuals responding to date-range selections, and graceful handling of complex assignments like breaching aging thresholds, you can rest assured of a comprehensive and error-free report. Another distinction as your potential freelancer is my commitment to providing not just the solution but also the capacity for efficient self-management. My extensive notes for easy report refreshing when your Excel source is updated ensures seamless operation with minimal dependence on external support. Choosing me would mean selecting someone truly invested in enhancing your business operations through robust data insights developed precisely to meet your identified needs.

@shahajalalbabu00

Hello There. ⇛My Philosophy is “Quality is never an accident it is always the result of an intelligent effort! Professional Multilingual Service Provider. Given the chance to be in long-term Cooperation! ▶Expertise and Specialties is? & What Services I Provide? ✔️Excel ✔️DAX ✔️Python ✔️SQL ✔️Tableau ✔️Scraping ✔️PPT ✔️Google-Sheets ✔️Typing ✔️ Web Scraping ✔️Data Extraction ✔️Data collection ✔️Leads ✔️Spreadsheet - Formulas ✔️PDF-MS Expert ✔️power-BI specialist ✔️Functions ✔️Macros ✔️VBA ✔️Dashboards ✔️Graphs ✔️Charts ✔️Pivot tables ✔️Flow charts ✔️ODOO ✔️Data Analysis ✸ Google-sheets ✔️Data Processing ✔️ Please leave a message here in via chat box. Thank You!

@jesica46

Hello, After carefully reviewing your project, I am confident that I can deliver accurate, insightful, and well-structured analysis to support your decision-making regarding domestic charter flights. As an experienced Data Scientist and Researcher, I specialize in qualitative and quantitative analysis using Python, R Studio, and advanced Excel techniques. I have worked extensively with large datasets and complex transcripts, transforming raw data into meaningful, actionable insights. For your project, I will: ✔ Perform structured qualitative and quantitative analysis ✔ Clean and organize large datasets efficiently ✔ Apply Python/R for deeper statistical evaluation ✔ Deliver clear, well-documented findings and working papers ✔ Ensure accuracy, consistency, and on-time delivery I understand the importance of precision, especially when analysis influences financial and strategic decisions. My approach is detail-oriented, analytical, and results-driven. I am fully prepared to start immediately and would be happy to review your dataset and project scope to align the analysis perfectly with your objectives. Looking forward to contributing high-value insights to your project. Best regards,

@AZTURK1

Hi there, I will convert your raw Excel incident/service-request sheet into a polished Power BI dashboard that surfaces MTTR, SLA adherence and ticket health at a glance. I’m confident I can deliver an interactive, refreshable .pbix with fast slicers and accurate measures. - Deliverable 1: Complete .pbix with cleaned data model, DAX measures for MTTR and SLA, interactive visuals (status coverage, performance cards, workload insights, ageing buckets). - Deliverable 2: Setup notes showing refresh steps and folder-based Excel refresh (no hard-coded paths). - Deliverable 3: Validation: test cases and sample checks ensuring filters/date-slicers and assignee interactions work correctly. Skills: ✅ Power BI ✅ Excel ✅ Data Processing (cleaning & modelling) ✅ Deployment / refresh integration (folder-based refresh) ✅ Security / accuracy (SLA correctness, MTTR precision) Certificates: ✅ Microsoft® Certified: MCSA | MCSE | MCT ✅ cPanel® & WHM Certified CWSA-2 I can start immediately and deliver the .pbix and notes within 1 day. Do all ticket records use consistent date/time columns for opened, resolved, and SLA deadline, and can you paste a sample (5–10 rows) of the sheet structure? Best regards,

@Vsion2

Hi there, I'm Alema, a Power BI and Analytics Consultant with over seven years of experience. I specialize in creating insightful and interactive Power BI Dashboards that help businesses turn raw data into meaningful insights and solve problems. I have completed 300+ projects with a 100% Positive Rating, If you are looking for Quality work, look no further. We are always available 24/7 to help employers without limitations, and delivery is guaranteed on time. Your faithfully. Eng. Alema Akter

@echekwa

Hello, I can transform your incident and service-request Excel data into a clean, interactive Power BI dashboard that gives you instant visibility into ticketing performance and SLA health. With my background in data analytics and dashboard design, I will build a structured data model from your single-sheet workbook and develop precise DAX measures for MTTR, SLA compliance, reopened rates, and reassignment metrics. The dashboard will include clear status coverage visuals (open vs closed with slicers for assignee and ticket type), workload insights (top requesters/resolvers, ageing buckets, and daily open trends), and fully dynamic time slicing (weekly through annual). All visuals will respond instantly to filters and maintain fast performance. I will deliver a well-structured .pbix file with documented measures and a short setup guide so you can refresh data easily from your Excel source without path issues. Estimated timeline: 2–3 days from file receipt. I’m ready to start immediately and ensure accuracy and clarity throughout. Best regards, Chijioke

@Hemantt841

With over 15 years of experience in software development and digital solutions, I have collaborated with startups, mid-size companies, and enterprise-level clients, successfully delivering more than 200 projects across various industries. My expertise in data processing, data visualization, and Power BI makes me well-equipped to transform raw data into insightful dashboards that drive informed decisions. For your project, I will start by thoroughly analyzing your existing Excel workbook to understand its structure and data flows. Leveraging Power BI, I'll create a dynamic dashboard tailored to your needs, ensuring that status coverage, performance metrics, and workload insights are visually engaging and easily interpretable. I'll implement responsive visuals that interact seamlessly with the chosen date ranges and filters to provide real-time insights on ticket operations. I’m ready to discuss your project in more detail and clarify any specific requirements you may have.

@Kartikayrajput

Hello, I have carefully read your Power BI ticketing project requirement. I understand that you need a clear and interactive dashboard to track tickets, status, performance, and reporting. I have experience working with Excel data, cleaning datasets, creating Power BI dashboards, DAX formulas, and visual reports. I can help you build a professional dashboard with proper KPIs, filters, and performance tracking. I have read your project carefully I will ensure: • Clean and structured data model • Interactive visuals • Accurate calculations • On-time delivery Please share your dataset so I can review and suggest the best dashboard structure. Looking forward to working with you. Thank you.

@Aman6698

Hello, I am very interested in your project and would love to contribute my skills and dedication. I am a hardworking, reliable, and detail-oriented professional who focuses on delivering accurate and high-quality results. I have strong communication skills, good computer knowledge, and the ability to quickly learn new tools and systems. I always follow deadlines strictly and maintain clear communication throughout the project. Client satisfaction is my top priority. I am ready to start immediately and can adapt according to your requirements. I look forward to discussing how I can add value to your project. Thank you for your time and consideration. Best regards, Aman

@pruthvi9053

I have reviewed your requirement to transform the incident and service-request Excel data into an interactive Power BI dashboard for monitoring ticketing operations. I can develop a dynamic and insight-driven Power BI report that will provide real-time visibility into your ticket health, with a primary focus on MTTR and SLA performance tracking.

@harshitav04

Here’s a proposal under 1500 characters, optimized to win: --- Hello, I can transform your Excel-based incident and service request data into a clean, interactive Power BI dashboard focused on operational health and performance. I will build a structured data model (with proper date dimension and relationships), accurate MTTR and SLA calculations, and dynamic visuals that respond instantly to date, assignee, and ticket-type slicers. The dashboard will include: • Open vs Closed status coverage • MTTR and SLA compliance (primary KPIs) • Reopened and reassigned rates • “Most requested by” and “Most resolved by” insights • Daily open-ticket trend lines • Ageing buckets with threshold alerts • Flexible time slicing (weekly to annual) The file will use folder-based refresh (no hard-coded paths) so you can simply replace the Excel file with the same structure and refresh. Timeline: 7 days Bid: $395 USD Before starting, I would confirm: 1. How SLA is defined (priority-based or fixed hours)? 2. Whether MTTR should use first or final resolution? 3. Approximate row count? I’m ready to begin immediately and provide clear communication throughout.

@dredwinl5

I will give my best please do the first order for me and I will make my test in this boys please give me

@vinipereira1

Hello, Your project description is clear and it aligns well with dashboards I build frequently in Power BI for operational and ticket-management data. My approach would be to structure a clean data model, create accurate DAX measures for MTTR and SLA compliance, and design a dashboard where all visuals respond properly to date, assignee, and ticket-type filters. The report would include: • Open vs closed ticket monitoring • MTTR and SLA performance indicators • Reopened and reassigned ticket rates • Workload insights (top requesters and resolvers) • Daily trends and ticket ageing buckets You will receive the complete .pbix file along with short notes explaining how to refresh the report when the Excel source file is updated. Before starting, I would just confirm two points: 1. How is the SLA defined (fixed hours or different per ticket type)? 2. Does the dataset include both ticket creation and resolution timestamps? Estimated delivery time: 1–2 days depending on the dataset size. Best regards.

@amgius

Subject: Professional Power BI Dashboard: Ticket Operations & SLA Tracking Hi! I can transform your raw Excel data into a polished, interactive Power BI dashboard. I understand that tracking MTTR and SLA compliance is your top priority, and I will ensure these metrics are accurate and fully dynamic. What I will deliver: Dynamic MTTR & SLA Measures: Using robust DAX, I will build measures that calculate resolution times and SLA hits/misses, responding instantly to your time and assignee slicers. Operational Insights: I’ll set up status coverage views, workload leaderboards, and Ageing Buckets to flag tickets breaching thresholds at a glance. Automated Data Model: I will use Power Query to ensure the report refreshes seamlessly from your Excel source. No hard-coded paths: just drop the new file and hit refresh. Intuitive Slicing: Every visual will be synced with a flexible date-range filter (weekly to annual). Deliverables: A clean .pbix file with a structured data model. A brief Setup & Refresh Guide for your future updates. Timeline: I can complete this within [Inserisci 2-4] days. Clarifying Question: Are the SLA targets (e.g., response time thresholds) already in the Excel file, or should I create a custom logic table in Power BI to define them? I am ready to start immediately. Best regards, Giuseppe Amato

@dannyt5

Hi! I can help you build a professional and interactive Power BI dashboard for your ticket operations. I have experience in data modeling, ETL processes, and KPI development (MTTR, SLA compliance), ensuring accurate and scalable reports. For your project, I will: Clean and transform your Excel data using Power Query Build a proper data model with a dynamic date table Create accurate DAX measures (MTTR, SLA compliance, reassignments) Design an interactive dashboard with filters by date, assignee, and ticket type Ensure all visuals respond correctly to slicers Deliver a clean .pbix file + documentation for future updates I can deliver the solution within 1–2 days. If you have any specific SLA rules or data structure details, I’d be happy to review them before starting. Looking forward to working with you!

@kuldeep9939

Hello, I can convert your Excel-based incident and service-request data into a clean, interactive, and performance-focused Power BI dashboard that provides a clear real-time view of your ticketing operations. Here is how I will approach the project: ✔ Build a structured data model from the Excel source (no hard-coded paths) ✔ Create dynamic dashboards with full date-range interaction (weekly to annual views) ✔ Implement priority KPIs including MTTR and accurate SLA compliance tracking ✔ Design status coverage visuals with slicers for assignee and ticket type ✔ Add workload insights such as top requestors, top resolvers, ageing buckets, and open-ticket trends ✔ Ensure all visuals respond correctly to filters and slicers Deliverables: • Complete .pbix file with clean measures and model • Easy refresh setup so you can update data by replacing the Excel file • Clear setup notes for future maintenance Estimated delivery time: 3–4 days (including testing and validation). Before starting, I would like to confirm: 1. Which columns represent Created Date, Closed Date, and SLA target? 2. How do you define MTTR (hours or days)? 3. Is there a single sheet structure that will remain consistent for future refreshes? I focus on clean visualization, accurate metrics, and dashboards that are easy to maintain. Looking forward to working with you. Thank you, Kuldeep Kumar

@farizabdurahman

Hello, I am Fariz, a professional with expertise in Data Entry, Administration, and Data Visualization, supported by a background in Graphic Design that enhances my ability to present information clearly and effectively. I am confident I can transform your raw Excel workbook into a polished Power BI dashboard that meets your requirements. Here’s how I can contribute: - Data Modeling & Cleaning: Organizing incident and service-request records into a structured, reliable data model. - Interactive Dashboards: Building visuals that respond instantly to filters (date ranges, assignee, ticket type) for real-time insights. - Performance Metrics: Accurate calculation of MTTR and SLA compliance, with clear indicators for reopened and reassigned tickets. - Workload Insights: Highlighting trends such as “most tickets requested/resolved by,” ageing buckets, and daily open-ticket lines. - Professional Delivery: A complete .pbix file with all measures, plus setup notes so you can refresh the report seamlessly when new Excel data is added. I understand the importance of accuracy, clarity, and usability in monitoring ticketing operations. My combination of administrative precision and design expertise ensures that the dashboard will not only be functional but also visually engaging and easy to interpret. I would be glad to discuss your timeline and any specific preferences to ensure the dashboard fully supports your operational goals. Best regards, Fariz

@shahid00514

Hi, I’ve worked on similar ticketing and operations dashboards where the goal was simple: give management a clear, real-time view of what’s happening without digging through raw data. I can transform your single sheet Excel file into a clean, well-structured Power BI report with accurate MTTR and SLA calculations, dynamic date slicing, and fully interactive visuals for status, workload, ageing, and performance metrics. I will build a proper data model, create reliable DAX measures for MTTR and SLA compliance, and ensure every visual responds correctly to date and assignee filters. The file will refresh from the same structured Excel source placed in a folder, with no hard coded paths. You’ll receive the complete .pbix file along with short setup notes so you can maintain and refresh it easily. I can deliver this within 2 to 3 days after reviewing the dataset. Before starting, I would just like to confirm how SLA is defined and whether MTTR should exclude non-working hours. Looking forward to working with you.

@eduardbeltran20

I have strong experience building executive dashboards in Power BI, specializing in operational KPIs, performance analytics, and advanced DAX modeling. My approach focuses on creating clean data models, accurate calculations, and interactive reports that support real-time decision-making. For your project, I will develop a fully interactive dashboard that will: Monitor open vs. closed tickets with dynamic filtering by assignee, ticket type, and date range. Accurately calculate MTTR using optimized DAX measures. Evaluate SLA compliance per ticket with clear visual indicators. Measure reassignment and reopening rates through custom KPIs. Provide workload insights, including “most requested by” and “most resolved by” rankings. Display daily ticket trends and aging buckets to flag overdue cases. Ensure all visuals respond seamlessly to flexible time segmentation (weekly, monthly, quarterly, semiannual, yearly) using a properly structured calendar table. The data model will be clean, scalable, and connected directly to the Excel source file without hardcoded paths, allowing smooth updates. Deliverables: Complete .pbix file Structured data model Fully documented DAX measures Brief setup notes for future data refresh My goal is not just to create visuals, but to build a performance monitoring tool that provides actionable operational insights. I’m ready to review the Excel structure and clarify SLA rules and reassignment logic to ensure 100% accurate calculations.