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Most small businesses are making decisions off numbers they don't fully trust.
Mismatched reports. Spreadsheets that take hours to update. Metrics that mean different things to different people.
I spent 4 years fixing exactly this at HCA Healthcare across 186 facilities and at Dell across 100+ enterprise accounts. Reduced manual reporting by 60%. Standardized 30+ KPIs so every team was finally working from the same numbers.
Now I bring that same rigor to smaller teams that need real analytics without hiring a full-time analyst.
If your data is a mess or your reporting takes longer than it should, that's exactly what I do.
Open to dashboard builds, SQL audits, and monthly reporting setups. DMs open. https://public.tableau.com/app/profile/jovanne.saldierna/viz/ShippingCostIntelligenceSystem/ShippingCostIntelligence
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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We just wrapped a website redesign for DataLab USA, a data analytics and marketing company that's been in the space for decades.
Going into the project, they already had almost everything:
Expertise
Impressive track record
Proprietary technology
But the website didn’t reflect any of it.
You couldn’t really tell how established the company was unless you already knew them.
3 things were working against them:
Repetitive content that buried the most important information
Messaging that couldn't clearly explain what they do or why it matters
A visual identity that no longer reflected the company's actual position in the market
That's what we were brought in to fix.
The direction we landed on was minimal, sharp, and structured. Black and white as the base, with subtle blue gradients to guide attention and create hierarchy. Angular layouts. Thin dividers. Clean sections. Every visual decision was designed to mirror the analytical nature of the brand.
On the content side, we rebuilt the information architecture and rewrote the messaging from the ground up. The goal was clarity without stripping away the technical depth that gives DataLab credibility.
The result is a site that finally matches the company behind it.
If your product or company has outgrown the way it presents itself online, that's a fixable problem.
Book a call and let's talk about it.
Link in the comments.
A thoughtful rebuilding to mirror the exact brand look.
🚀 Built an Automated Power BI Dashboard with Real-Time File Refresh Workflow
Recently, I worked on a complete Power BI automation project where I transformed messy raw CSV data into a fully interactive business dashboard.
This project included:
✅ Data Cleaning with Power Query
✅ Handling messy and mixed date formats
✅ Data transformation & automation
✅ KPI Dashboard Creation
✅ Sales & Revenue Analysis
✅ Dynamic Visualizations
✅ Folder-Based Automated Refresh System
✅ Bangladesh Regional Map Integration
The most exciting part of this project was the automation workflow.
Instead of manually rebuilding reports every time new data arrives, I configured Power BI to automatically detect updated files from a folder source. Once new CSV files are added, the dashboard can refresh and update business insights instantly.
During the project, I also solved several real-world data problems like:
inconsistent date formats
null values
mixed discount scales
data type issues
automation refresh errors
This project helped me strengthen my skills in:
📊 Power BI
📈 Data Visualization
🧹 Data Cleaning
⚡ Automation Workflow
📂 Power Query
🐍 Data Analytics
As a Data Analyst, I enjoy building dashboards that are not only visually appealing but also practical for real business decision-making.
If you need help with:
Power BI Dashboards
Data Cleaning
Automated Reporting
Business Insights
Excel & CSV Data Processing
feel free to connect with me or knock me anytime.
#PowerBI #DataAnalytics #BusinessIntelligence #Dashboard #DataVisualization #PowerQuery #Automation #DataCleaning #Analytics #DataAnalyst #DataScience #CSV #Excel #Reporting #BusinessAnalytics
Data Systems DesignGrowth MarketingBusiness Workflow AutomationMicrosoft Power BIGoogle GeminiChatGPT
How We Map Repeated Business Work Before Building Automation
A service agency came to us with a familiar problem: their team was manually chasing clients for updates, following up on internal tasks, and losing hours every week to the same repetitive loop.
Most people jump straight to "automate it." We don't.
Step 1: Map the mess first.
We shadowed the actual workflow. Who sends what, when, and why. Turns out, 60% of the follow-ups existed because there was no shared visibility into task status. People were pinging each other just to figure out where things stood.
Step 2: Fix the process before adding tech.
We restructured the handoff points. Clear ownership at each stage. One source of truth for task status. No more "just checking in" messages clogging up Slack.
Step 3: Layer automation on top of a clean process.
Only after the workflow made sense on paper did we wire up automated status updates, reminders, and escalation triggers. The automation didn't replace the process. It enforced it.
The result:
Fewer manual follow-ups. Faster handoffs. The team stopped chasing and started executing. The client said it felt like they "hired two extra people" without adding headcount.
The takeaway: Automation built on a broken process just breaks faster. Map it first. Clean it up. Then automate what's left.
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