Case Studies

Real business problems. Practical data, analytics, AI and automation solutions.

Explore how Datazeb approaches reporting, data engineering, integration, automation, and AI challenges across different business environments.

Selected work

Problems we have solved

  1. Retail · United States

    One reporting environment for 50+ retail stores

    Mobile and electronics retailer — 50+ stores in 10 states

    The business had grown to more than 50 locations across 10 states, but it had no shared view of how those stores were performing.

    • Power BI
    • NetSuite
    • POS data
    • Excel (replaced)
  2. Healthcare & public sector · Middle East

    National health analytics on a secure, on-premises platform

    National public health authority — National population, hospitals and primary care clinics

    Health information sat in separate places: the national disease registries, the records of each clinic and hospital, and new digital services such as electronic sick leave.

    • Power BI
    • Power BI Report Server
    • SQL
    • DAX
  3. Logistics · UK and Middle East

    Performance visibility for a multimodal freight marketplace

    Digital freight and logistics platform — Freight forwarders in 20+ countries; sea, air, road and warehouse

    The platform handles multimodal shipments by sea, air, road and warehouse, through a growing network of freight forwarders in many countries.

    • Power BI
    • SQL
    • DAX
    • Power Query

Clients are anonymised. Screenshots come from the delivered reports, with client names, logos, people and locations removed. Figures shown are the reports' own data, not results claimed by Datazeb.

Dashboard gallery

Dashboards from delivered projects

A selection of Power BI reports built for clients in different sectors. Each one started as scattered spreadsheets or system exports.

  • Store audit compliance dashboard (Retail operations), Power BI Open larger view
    Retail operations Store audit compliance Audit scores against passing thresholds, by store, district, quarter and audit type. Read the Case Study
  • Population risk-factor control dashboard (Public health), Power BI Open larger view
    Public health Population risk-factor control BMI groups, HbA1c results and smoking status across the registered population. Read the Case Study
  • Freight management dashboard dashboard (Logistics), Power BI Open larger view
    Logistics Freight management dashboard Bookings, revenue, freight forwarders and the busiest trade lanes, by mode of transport. Read the Case Study
  • Revenue, profit and margin dashboard (Retail), Power BI Open larger view
    Retail Revenue, profit and margin Month and year to date against budget and last year, by salesperson, store and product line.
  • Sales against target dashboard (Apparel retail), Power BI Open larger view
    Apparel retail Sales against target Orders and revenue against target by store, region, garment type and salesperson.
  • Patient profile analysis dashboard (Healthcare & pharma), Power BI Open larger view
    Healthcare & pharma Patient profile analysis Age, time since diagnosis, stage at diagnosis and metastasis, filtered by therapy line and location.
  • Purchasing and inventory dashboard (Automotive trading), Power BI Open larger view
    Automotive trading Purchasing and inventory Cars bought, sold and available, with purchase prices and profit by buying centre and city.
  • Year-over-year growth dashboard (Construction materials), Power BI Open larger view
    Construction materials Year-over-year growth Sales growth by product line and a map of fulfilments for the current year.
  • Climate-risk exposure dashboard (Investment & ESG), Power BI Open larger view
    Investment & ESG Climate-risk exposure Portfolio exposure by region and sector, with risk scores by country and industry under two emissions scenarios.

Client names, logos and people's names are blurred. Figures are the reports' own data, not results claimed by Datazeb.

FAQ

Frequently asked questions

Can you publish case studies if the client is confidential?

Yes. Datazeb can anonymise the client while still describing the industry, problem, technical environment, approach, and outcome, provided no confidential information is exposed.

Do all case studies need quantified results?

No. Quantified outcomes are valuable when verified, but a specific qualitative operational improvement is still credible.

Should case studies include technical detail?

Yes, but progressively. Lead with the business problem and outcome, then provide enough technical depth to reassure BI, IT, and data stakeholders.

Organisations we have worked with

  • HashMove
  • Verge Mobile
  • Metric-X
  • Civil Cast
  • Climate Risk Services
  • Vava Cars
  • T-Mobile
  • Urban Value Corner Store
  • Bawany
  • Waadli
  • Homex Smith
  • Wishmart
  • Essence
  • RAD Perfumery
  • Joy Socks

Feedback

What clients say

  • Ovais was excellent. He was very flexible to adjust to our changing requirements and demonstrated dedication to delivering well and making sure we were able to meet our own commitments. He was friendly and responsive throughout the project. I would highly recommend him.

    Saad Shah CEO & Founder, Metric-X Upwork review
  • Ovais is an extremely talented analyst with exemplary credentials and unmatched enthusiasm, who is able to create crafted custom work across our organisation.

    Joshua Murphy IT & Systems Manager, Civil Cast Client feedback
  • Wow – that's all I can say. LIFESAVER. Not only did he troubleshoot the error, he explained what was happening in a way that will help ensure the error doesn't happen again in the future. Great experience. Thank you again.

    Victor Fiverr review
  • Did a splendid job in the shortest time and with quick resolution. I didn't expect such a quick solution, but Ovais made it. Really, really talented man. I will hire him again.

    Daniel Gallego Fiverr review
  • Fantastic work, and did an incredible job going the extra mile for his customer. I sure appreciate the effort you put forth to meet my requirements. I look forward to working with you in the future.

    Alexa Fiverr review

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