Lets Viz Technologies

Lets Viz Technologies A team of passionate and aim to help take driven decisions. Expertise in

Lets-Viz is a data analysis and data visualization company providing data wrangling (ETL) using MS SQL, Snowflakes, Big Query, and dashboarding services for Tableau, Power BI & Yellowfin. Lets-Viz is located in the heart of India in Delhi NCR.

100+ Professional Projects, 1500+ hours work & 100% customer success Rate

Lets-Viz is a customer-centric, high-tech, consulting company focused on aiding

and consulting businesses in their pursuit of finding insights from huge data sets stored at multiple platforms.

☛ What do we offer? We will undertake everything that goes parallel to our expertise. To be precise, we do

✔ Database Management: Our team has executed various projects for creating and managing databases around the globe at an affordable cost. We have worked on different Database software like MS SQL, Oracle, etc.
✔ Data Transformation and Cleaning (ETL): Our team comprises python Certified Professionals providing various techniques for Data analysis. We are fast, efficient, and affordable.
✔ Data Visualization: We provide an advanced level of visualization using popular tools like Tableau, Power BI, etc. We handled complex computations, data blending, and dashboarding for the purpose of creating beautiful visualizations that deliver insights for business.

☛ Our Guarantee
We have been working for almost 2 years now and we are non-second to anyone in the business. As of now, we have successfully executed 100+ contracts and 1500+ billed hours. Last, but not least, we have managed to achieve a 100% Job Success rating. This is the best proof we have and it is inevitable proof.

For months, the CFO didn’t trust his own dashboard.Numbers looked right — but the story didn’t.Every Monday, he’d open t...
18/11/2025

For months, the CFO didn’t trust his own dashboard.
Numbers looked right — but the story didn’t.

Every Monday, he’d open the Power BI report, stare at 12 tabs, and still ask:
“So… are we profitable this quarter or not?”

The data team had built a perfectly accurate dashboard — but it wasn’t decision-first.

It answered, “what happened,” not “what to do next.”
When we rebuilt it, we followed our Decision-First Dashboard Framework:
• 🧭 Start with the decisions the CFO makes each week.
• 🎯 Group metrics by decision area (Cashflow | Profitability | Risk).
• 📊 Add visual cues → red = action needed, green = stable.
• 💬 Layer narrative summaries using Power BI Smart Narratives.
• ⚙️ Automate refreshes + alerts, so insights find him — not the other way around.

Now he spends 10 mins, not 60.

And for the first time, he said — “I finally trust what I see.”

💬 Comment INSIGHT and I’ll DM you our 1-page Decision-First Dashboard Framework (PDF) — the same structure we use to turn data chaos into clarity.

12 Excel sheets.15 versions of the same report.And one finance team drowning in numbers instead of insights.When they ca...
15/11/2025

12 Excel sheets.
15 versions of the same report.

And one finance team drowning in numbers instead of insights.
When they came to us, every monthly review looked the same — debates over which file had the “real” data, and decisions delayed because no one trusted the numbers.

So, we built a single Tableau dashboard that replaced 12 scattered Excel sheets and showed:
• Cashflow trends in real time
• Expense vs. revenue breakdowns by department
• Forecast accuracy vs. actuals
• Quick drilldowns for CFO reviews

What changed?
👉 A 2-hour reconciliation call now takes 10 minutes.
👉 The CFO finally trusts the dashboard — because it tells the same story every time.

Sometimes clarity doesn’t come from more data — it comes from one source of truth.

💬 Comment FIX and I’ll DM you our Finance Dashboard SOP Template — the same framework we used to go from 12 Excel sheets → 1 Tableau dashboard.

I’ve worked on 100+ dashboard projects across industries — finance, logistics, construction — and here’s what I’ve learn...
13/11/2025

I’ve worked on 100+ dashboard projects across industries — finance, logistics, construction — and here’s what I’ve learned:

Most leaders don’t need more data.
They need fewer, clearer KPIs that actually drive decisions.

Early in my journey, I used to think a great dashboard meant 20+ metrics and fancy charts.

But every time I asked a CXO,
“So, what decision did this help you make?” …I’d get silence.

That’s when we flipped the model — from Data-First to Decision-First.

Here’s the 4-step KPI Simplification Rule we now live by at Lets Viz 👇
1️⃣ Start with the Decision.
What do you want to control or improve — revenue, efficiency, risk, satisfaction?

2️⃣ Define the Levers.
Which actions move that decision? (e.g. late deliveries, churn rate, lead velocity)
3️⃣ Pick 3–5 Core KPIs.
The ones that actually change behavior — not just fill reports.

4️⃣ Automate and visualize simply.
Color, trend, and one-line insight — no clutter, no guessing.

When we applied this in a logistics firm, the CEO said:
“For the first time, I can see what matters before it breaks.”

💬 Comment KPI and I’ll send you our Weekly KPI Glossary — 40+ ready-to-use metrics mapped by business function.

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When browsers become “thinking assistants”… the way we work, research, and decide will completely change.Recently, OpenA...
11/11/2025

When browsers become “thinking assistants”… the way we work, research, and decide will completely change.

Recently, OpenAI launched ChatGPT Atlas — and Perplexity’s Comet just went free for everyone.

Two AI browsers. One big question: Which will redefine how businesses consume and act on data?

Here’s what stood out to me 👇
A few months back, I watched our analytics team juggling 20 tabs to research KPIs, competitors, and insights before a dashboard build.

Now, AI browsers like Atlas and Comet are quietly killing that chaos.
The new workflow:
🔍 Ask the browser itself to summarize and compare sources — no manual notes.
📊 Capture insights directly into dashboards or Notion with one click.
🧠 Keep memory across research sessions (Atlas does this best).
⚙️ Trigger low-code automations (Comet’s integrations are stronger today).
🔒 Choose the right tool depending on your data privacy policy.

At Lets Viz, we see this as the next leap in data literacy:

From dashboards that show numbers → to browsers that understand context.
The real edge won’t be in which AI you use —
it’ll be in how quickly your team builds data stories from it.

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Automation shouldn’t replace people — it should remove what people hate doing.Last month, a COO told me: “I spend Friday...
10/11/2025

Automation shouldn’t replace people — it should remove what people hate doing.

Last month, a COO told me: “I spend Fridays chasing updates like a debt collector.”

We heard the same from sales, ops, even finance approvers. No one hated the work — they hated the follow-ups.

So we built a simple, no-code follow-up loop. Now the “chasing” happens automatically, and the team focuses on decisions, not nags.
What we did (Make + Zapier + n8n + WhatsApp + Slack + HubSpot + Google Sheets):
• Trigger: due date approaching or status stuck >24h
• Route smartly: DM the owner on Slack/Teams, email the external partner, WhatsApp for field staff
• Bundle context: last comment, blocking task, link to card/ticket/dashboard
• Escalate by rules: 48h → manager; 72h → exec digest (not 20 pings)
• Close the loop: update CRM/Sheet/Power BI status so dashboards reflect reality

The result?
Chase time ↓ 12 hours/week for leadership. Response rate ↑ 38%. Cycle times ↓ 27%. Morale ↑ because no one plays “bad cop”.

If you’re still manually nudging people, you’re burning attention capital.

DM to know more

“The best automation tools are the ones you already use — we just connect them smarter.”Last month, a dealer distributor...
07/11/2025

“The best automation tools are the ones you already use — we just connect them smarter.”

Last month, a dealer distributor told me: “Neetu, my team spends more time chasing order status than dispatching stock.”
We mapped the journey: order received → credit check → pick/pack → dispatch → invoice. Tons of data, zero moments that matter.

So we moved the status to where everyone already lives—WhatsApp—and kept the system-of-record simple: Google Sheets + Looker Studio.

Here’s the flow we shipped:

Capture: Order form feeds Google Sheets; basic validations + dealer ID checks.

Orchestrate: Apps Script updates status (Received → Approved → Packed → Dispatched) + timestamps & SLA.

Notify: AiSensey broadcasts WhatsApp updates to dealer + sales rep at key milestones; exception alerts if SLA slips.

Escalate: No ack in 15 min? Supervisor ping + summary with pending items.

Visualize: Looker Studio live tracker with aging, SKU fill-rate, credit hold flags, and delivery ETAs.

What changed?
Dealers stopped calling. Inside sales stopped guessing. Dispatch stopped firefighting.
We cut “Where is my order?” calls by 82% and shaved 1.5 days off order-to-dispatch.

DM if yuo want your order to dispatch to be automated

If your team sends the same file every Monday…you already need an automation.Here’s the truth I learned after auditing 4...
05/11/2025

If your team sends the same file every Monday…
you already need an automation.

Here’s the truth I learned after auditing 40+ companies’ reporting processes 👇
Every business starts automating too late.

They wait until “it’s unbearable.”

But by then, the inefficiency tax has already cost weeks of productivity.
At Lets Viz, we call this the “Repetitive Monday Loop.”

You’ll recognize it if:
• Someone exports a CSV manually every week
• You rename it “Report_25Oct_v3”
• It gets emailed to 5 people… and 2 never open it
• Then someone realizes the numbers don’t match last week’s version 😅

Here’s how we fix it — the 3-step No-Code Automation Stack:
✅ Connect your source (Sheets, Xero, Zoho Books, etc.)
✅ Auto-refresh + transform data inside Power BI or Looker Studio or Zoho Analytics
✅ Schedule Slack/Email summary with top 5 KPIs every Monday 8 AM
No code. No chaos. Just clarity.

Our clients save 4–6 hours/week per report — and never send “the file” again

If your team still spends half the day on spreadsheets, reminders, and repetitive updates…You don’t need more people. Yo...
03/11/2025

If your team still spends half the day on spreadsheets, reminders, and repetitive updates…

You don’t need more people. You need more automation.

Over the past few months, we helped 20+ businesses automate small, boring tasks — the kind that quietly kill productivity.

Here are 15 business tasks you can automate this week (no coding required) 👇

💼 Sales & CRM
- Lead capture → CRM entry
- Automated follow-ups for cold leads
- Proposal generation from CRM data
- Client onboarding workflow (welcome email + folder + Slack alert)

🧾 Finance & Operations
- Invoice approvals + payment reminders
- Expense tracking & approval routing
- Vendor onboarding (form → approval → document upload)
- Daily cashflow dashboard refreshed in Power BI

🧠 HR & People Ops
- Employee onboarding (email + folder + Slack setup)
- Leave requests & approval workflow
- Weekly HR pulse surveys auto-collected + visualized

📣 Marketing & Content
- Social content scheduling from Notion
- Lead magnet delivery (form fill → email with resource)
- Newsletter subscriber sync (LinkedIn → CRM → email tool)
- Campaign performance dashboard in Looker Studio

✨ No coding. No tech overwhelm. Just clarity and time saved.

💬 Comment AUTOMATE and I’ll DM you our “Top 50 No-Code Business Automations” board — with ready-to-use blueprints for Make, Zapier, and Power Automate.

Most businesses FAIL at using data because they're analyzing ANYTHING.It's easy and common to spot flaws in data.But the...
24/10/2023

Most businesses FAIL at using data because they're analyzing ANYTHING.

It's easy and common to spot flaws in data.

But the reality?

You're stressing over the conventional and error-prone approaches.

Example:

❌Overreliance on data without considering human judgment.
❌ Overloading Excel sheets and wasting time in copy-pasting.
❌ Ignoring the importance of data quality and accuracy.
❌ Collecting excessive data without a clear purpose will give you no benefits.

Instead, try this:

✅ Define the problem or objective before gathering data.
✅ Maintain a strong focus on data quality and accuracy.
✅ Automate analysis and get real-time updates.
✅ Visualize the numbers and get quick insights.
✅ Present data on one single dashboard.
✅ Do this and avoid your data getting flopped.

And START increasing your business profits and saving time.

📌 Need expert help with automated dashboards to save 15 hours weekly and increase operational efficiency by 30%+? DM ''DATA'' to learn more.

I'm living the most successful life in my 30s.I relish the Sunset. I have the support of my family. I'm healthy, happy, ...
14/10/2023

I'm living the most successful life in my 30s.

I relish the Sunset.

I have the support of my family.

I'm healthy, happy, and blessed.

I have 3-time food with my family.

I've taken the risk and got returns of it.

I'm making memories with my growing kid.

I wake up healthy to live the fresh morning.

I'm fostering resilience to overcome life's challenges.

I'm growing my business and exploring more about myself.

I'm finding the balance between work, leisure, and self-care.

No, I don't need to build another unicorn and get viral to call myself successful.

I've already witnessed the success.

Achievements and milestones are so overrated that we forget to live the real joy of our lives.

Are you successful?

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Faridabad

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