Every manager faces the same problem:

It's not a lack of data…
It's too much data.

• Reports

• Excel

• Dashboards

• Numbers

• Meetings

But the real question is:

What do these numbers mean? And what should I do now?

This is where artificial intelligence comes in.

Not to give you more data…
But to give you:
✔ Insights
✔ Recommendations
✔ Clear decisions

This is what's called today:

👉 Decision Intelligence

The difference between "reports" and "decisions"

Traditional reports:

• Lots of numbers

• Without explanation

• Require time to analyze

AI-powered reports:

• Top 5 insights

• Root causes

• Practical suggestions

• Action steps

Meaning:
From numbers → to direct decisions

What can be automated in analysis?

✔ Excel spreadsheet analysis
✔ Summarizing long reports
✔ Comparing time periods
✔ Problem detection
✔ Identifying KPIs
✔ Preparing executive reports
✔ Future forecasts
✔ What-if scenarios

📊 First: Raw data analysis

The problem

An Excel file with 2,000 rows…
Who has time to analyze it manually?

Ready-made prompts

🟢 General analysis

Analyze the following data and extract the key trends, problems, and opportunities: [paste data]

🟢 Top insights

Extract the top 5 management insights that decisions can be made based on

🟢 Problem detection

Identify any low or abnormal performance indicators and explain the likely cause

🟢 Recommendations

Suggest practical recommendations to improve performance within 30 days

📈 Second: Creating executive reports for management

The problem

Management doesn't need 20 pages…
They just need one page.

Prompts

🟢 Executive summary

Convert this long report into a one-page executive summary in simple language

🟢 Monthly report

Create a monthly performance report that includes accomplishments, challenges, and recommendations

🟢 Management presentation

Convert this data into an 8-slide presentation for senior management

🟢 Decision points

Extract proposed decisions based on these results

🎯 Third: Identifying KPIs

Many teams work without clear indicators.

Prompts

• Suggest appropriate KPIs for the [Sales/Marketing/Support/Operations] team

• Suggest measurable performance indicators for the next 90 days

• Suggest a simple Dashboard to track daily performance

🔮 Fourth: Forecasts and scenarios

Prompts

🟢 Forecasts

Based on this data, forecast performance for the next 3 months

🟢 Scenarios

Create 3 scenarios (optimistic – realistic – conservative) with expected outcomes

🟢 What-if

What happens if we increase the budget by 20%? Analyze the expected impact

🧠 Fifth: Strategic thinking

Prompts

• Act as a strategy expert and provide recommendations to improve profitability

• What untapped opportunities exist in this data?

• Suggest implementation priorities for next week

• What decisions need to be made immediately?

Practical example (5 minutes only)

You have:

• 6 months of sales

• Costs

• Profits

You can:

1️⃣ Paste the data
2️⃣ Request analysis
3️⃣ Request recommendations
4️⃣ Request an executive summary

And the result:
📄 A ready-made report for the meeting

Instead of two hours of manual analysis.

Daily workflow for managers

Every morning:
✔ Request yesterday's summary
✔ Request top 3 problems
✔ Request recommendations
✔ Request today's plan

Meaning:
Decisions within 10 minutes.

Mistakes to avoid

❌ Relying on AI without human review
❌ Incomplete or incorrect data
❌ Expecting 100% accuracy

✔ Use it as an analytical assistant… not a replacement for judgment

How Awamer helps you

Instead of:
❌ Writing new prompts every time
❌ Inconsistent results

You get:
✅ Ready-made analysis templates
✅ Executive report prompts
✅ KPI prompts
✅ Strategic planning prompts
✅ In Arabic

Meaning:
An instant analytical consultant

Summary

The successful manager today is not someone who has more data…
But someone who understands it faster.

Using artificial intelligence you can:
✔ Reduce analysis time
✔ Increase decision clarity
✔ Move quickly

And that's the real difference.