Salesforce Integration & Data Migration – A beginner‑friendly guide
This course is divided into three friendly modules. Each module builds on the previous one, using simple language, fun stories, and plenty of examples from Nigeria and everyday life.
| Module | Title | What you'll learn |
|---|---|---|
| 1 | What is Integration & Why It Matters | What integration means, why we connect systems, and common integration scenarios. |
| 2 | Data Migration – Moving Data Safely | How to move data from one system to another, data mapping, and cleaning data. |
| 3 | Keeping Data Clean & Managing Integrations | Data hygiene, ongoing integration management, and best practices. |
📖 35 sections – from a fun story about a busy market to your first integration plan.
📊 30+ sections – learn how to move data from one place to another.
⚡ 25+ sections – keep your data clean and your integrations running smoothly.
Each module includes a mix of:
| Type | Examples |
|---|---|
| 📝 Written | Fill‑in‑the‑blanks, true/false, short answers |
| 🧠 Thinking | Review questions, scenario‑based exercises |
| 🤝 Group | Role‑play, group activities, classroom discussions |
| 🎯 Practical | Mini‑projects, challenge exercises, migration plans |
🌟 Remember: Integration connects systems, and migration moves data safely. Clean data is happy data! Let's go! 🚀
Salesforce Integration & Data Migration – Module 1: What is Integration & Why It Matters
Hello, young tech explorer! 👋 Have you ever played a game where you had to connect different pieces to make something work? Maybe you built a Lego castle, or you connected a phone to a speaker to play music. When pieces connect and work together, amazing things happen!
In the grown‑up world of computers, we do the same thing. We connect different systems so they can talk to each other. This is called integration. For example, when you buy something online, the website talks to the payment system and the delivery system – all automatically!
In this module, we will learn what integration is, why it is important, and how businesses use it. We will also explore how Salesforce connects with other systems to make work easier and faster.
Ready to become an integration expert? Let's go! 🚀
After studying this module, you will be able to:
There was a busy market stall in Lagos run by Mama Nkechi. She sold many things – rice, beans, yams, and palm oil. Every day, she had many customers. But she had a big problem. Her notebook where she wrote orders was always messy. She sometimes lost customer phone numbers. She didn't know when she was running low on stock.
One day, her son, Chidi, said, "Mummy, why don't you use a tablet? You can have one app for orders, one for stock, and one for customer contacts. But they need to talk to each other!"
He set up a simple system. When a customer ordered rice, the stock app automatically reduced the rice count. The customer's name was saved in the contacts app. And the payment app recorded how much money came in.
Now, Mama Nkechi's stall ran smoothly. She never lost a customer number, and she always knew when to buy more stock. Her apps were integrated – they talked to each other and shared information. That is what integration is all about!
Definition: Integration is when two or more systems (like apps or computers) share information and work together.
Why important: Integration saves time, reduces errors, and makes work easier.
Simple explanation: Like having two friends who talk to each other – they share information and help each other out.
Real-life example: When you buy something online, the website talks to the payment system to take your money, and to the delivery system to send your package.
School example: The school’s attendance system talks to the gradebook system – if a student is absent, the teacher knows.
Home example: Your phone and your smartwatch share information – steps, messages, and calls.
Nigerian example: A Lagos supermarket’s sales system talks to its inventory system – when an item is sold, the stock is updated.
Illustration:
INTEGRATION = SYSTEMS TALKING TO EACH OTHER ┌────────────┐ ┌────────────┐ │ Sales │────────▶│ Inventory │ │ System │◀────────│ System │ └────────────┘ └────────────┘
Mini summary: Integration means systems share information and work together.
Definition: Integration matters because it makes work faster, more accurate, and more efficient.
Why important: Without integration, people have to do everything manually – which is slow and full of mistakes.
Simple explanation: Like trying to bake a cake without a recipe – you might forget ingredients. Integration is like having a recipe that tells you exactly what to do.
Real-life example: A company that integrates its CRM (Customer Relationship Management) with its email system can automatically send emails to customers.
School example: The school integrates its timetable with the classroom booking system – no double‑booking!
Home example: Your family uses a shared calendar that integrates with everyone's phones – everyone knows what's happening.
Nigerian example: A bank integrates its mobile app with its customer database – you can check your balance instantly.
Illustration:
WITHOUT INTEGRATION WITH INTEGRATION ┌─────────────────────┐ ┌─────────────────────┐ │ ❌ Manual entry │ │ ✅ Automatic sync │ │ ❌ Errors │ │ ✅ Fewer errors │ │ ❌ Wasted time │ │ ✅ Saves time │ └─────────────────────┘ └─────────────────────┘
Mini summary: Integration makes work faster, more accurate, and easier.
Definition: A system is a set of tools or software that does a specific job (e.g., Salesforce, email, accounting software).
Why important: Systems are the things we integrate.
Simple explanation: Like a toolbox – each tool does a different job.
Real-life example: Salesforce is a system for sales. Gmail is a system for email. QuickBooks is a system for accounting.
School example: The school has a system for attendance, a system for grades, and a system for scheduling.
Home example: Your family has a system for chores, a system for groceries, and a system for finances.
Nigerian example: A business has a system for sales, a system for inventory, and a system for payroll.
Illustration:
SYSTEMS = TOOLS FOR DIFFERENT JOBS ┌────────────┐ ┌────────────┐ ┌────────────┐ │ Salesforce│ │ Gmail │ │ QuickBooks│ │ (Sales) │ │ (Email) │ │ (Accounting)│ └────────────┘ └────────────┘ └────────────┘
Mini summary: A system is a tool or software that does a specific job.
Definition: An API (Application Programming Interface) is a set of rules that allows one system to talk to another.
Why important: APIs are the "language" that systems use to communicate.
Simple explanation: Like a translator – if you speak English and your friend speaks French, you need a translator to understand each other. APIs are translators for systems.
Real-life example: When you use a weather app on your phone, the app uses an API to get weather data from a weather system.
School example: The school’s website uses an API to get student information from the school database.
Home example: Your smart speaker uses an API to get music from a streaming service.
Nigerian example: A bank’s mobile app uses an API to talk to the bank’s server.
Illustration:
API = TRANSLATOR ┌────────────┐ ┌────────────┐ │ System A │──API──▶│ System B │ └────────────┘ └────────────┘
Mini summary: An API is a set of rules that allows systems to communicate.
Definition: Integration scenarios are common ways that systems are connected.
Why important: They show how integration is used in real life.
Simple explanation: Like different types of puzzles – each one connects pieces in a different way.
Real-life example: CRM (Salesforce) integrated with email (Gmail) – automatically log emails.
School example: Attendance system integrated with parent notification system – parents get alerts when their child is absent.
Home example: Smart home system integrated with lights and thermostat – you can control everything from your phone.
Nigerian example: E‑commerce website integrated with payment system (Paystack) – customers can pay online.
Illustration:
COMMON INTEGRATION SCENARIOS ┌────────────────────────────────────────────┐ │ CRM + Email │ │ E‑commerce + Payment │ │ Inventory + Sales │ │ Marketing + Social Media │ └────────────────────────────────────────────┘
Mini summary: Common integrations include CRM with email, e‑commerce with payment, and inventory with sales.
Definition: Salesforce can integrate with many other systems, like email, accounting, and marketing tools.
Why important: It makes Salesforce more powerful and useful.
Simple explanation: Like having a Swiss Army knife – it has many tools in one.
Real-life example: Salesforce integrates with Gmail so you can see customer emails inside Salesforce.
School example: Salesforce integrates with a school’s learning management system to track student progress.
Home example: Salesforce integrates with a family budgeting app.
Nigerian example: Salesforce integrates with a Nigerian payment gateway like Paystack.
Illustration:
SALESFORCE INTEGRATIONS ┌────────────────────────────────────────────┐ │ Salesforce ◀───▶ Gmail │ │ Salesforce ◀───▶ QuickBooks │ │ Salesforce ◀───▶ Mailchimp │ │ Salesforce ◀───▶ Paystack │ └────────────────────────────────────────────┘
Mini summary: Salesforce can integrate with many systems to become more powerful.
Definition: Benefits are the good things that come from integration.
Why important: They show why integration is worth doing.
Simple explanation: Like the benefits of eating healthy – you feel better and have more energy.
Real-life example: Integration saves time, reduces errors, and gives a complete view of customers.
School example: Integration saves teachers time and helps them track student progress.
Home example: Integration helps families stay organized and save time.
Nigerian example: Integration helps businesses grow faster and serve customers better.
Illustration:
BENEFITS OF INTEGRATION ┌────────────────────────────────────────────┐ │ ✅ Saves time │ │ ✅ Reduces errors │ │ ✅ Gives complete view │ │ ✅ Makes work easier │ │ ✅ Helps grow business │ └────────────────────────────────────────────┘
Mini summary: Integration saves time, reduces errors, and helps businesses grow.
Definition: Challenges are the difficulties you might face when integrating systems.
Why important: Knowing challenges helps you avoid them.
Simple explanation: Like obstacles in a game – you need to know them to get past them.
Real-life example: Systems might not be compatible, or data might be messy.
School example: The school’s systems might not talk to each other easily.
Home example: Your phone might not connect to your smart TV.
Nigerian example: A business might have old systems that are hard to integrate.
Illustration:
CHALLENGES OF INTEGRATION ┌────────────────────────────────────────────┐ │ ❌ Compatibility issues │ │ ❌ Messy data │ │ ❌ Cost │ │ ❌ Complexity │ └────────────────────────────────────────────┘
Mini summary: Integration challenges include compatibility, messy data, cost, and complexity.
Definition: A comparison shows the difference between having integration and not having it.
Why important: It helps you see the value of integration.
Simple explanation: Like comparing a bicycle to a car – both get you places, but one is faster.
Real-life example: Without integration, you have to copy data from one system to another. With integration, it happens automatically.
School example: Without integration, the teacher has to update grades in two places. With integration, it updates automatically.
Home example: Without integration, you have to manually update your calendar on all devices. With integration, it syncs automatically.
Nigerian example: Without integration, a business has to manually enter sales data into accounting. With integration, it happens automatically.
Illustration:
WITHOUT INTEGRATION WITH INTEGRATION ┌─────────────────────┐ ┌─────────────────────┐ │ Manual data entry │ │ Automatic sync │ │ Errors │ │ Fewer errors │ │ Wasted time │ │ Saves time │ └─────────────────────┘ └─────────────────────┘
Mini summary: Integration automates tasks and saves time compared to manual work.
Definition: Real‑world examples show how integration is used in actual businesses.
Why important: They help you imagine how you can use integration.
Simple explanation: Like seeing how a magic trick is done – it inspires you.
Real-life example: An e‑commerce website integrates with a shipping system to automatically send tracking numbers to customers.
School example: A school integrates its library system with its student database – students can see what they have borrowed.
Home example: A smart home system integrates lights, locks, and cameras for security.
Nigerian example: A Lagos restaurant integrates its ordering system with a delivery app like Bolt Food.
Illustration:
REAL-WORLD INTEGRATION ┌────────────────────────────────────────────┐ │ E‑commerce + Shipping = Tracking numbers │ │ School + Library = Student borrowing │ │ Restaurant + Delivery = Online orders │ └────────────────────────────────────────────┘
Mini summary: Integration is used in many industries – e‑commerce, education, and hospitality.
Definition: Integration helps sales teams by connecting Salesforce with other tools.
Why important: It makes sales teams more productive.
Simple explanation: Like having a super‑assistant that does all the boring work.
Real-life example: Salesforce integrates with LinkedIn – you can see customer profiles directly in Salesforce.
School example: A school’s sales team (admissions) integrates with email to send personalized messages.
Home example: A family’s sales team (lemonade stand) integrates with a payment app to track sales.
Nigerian example: A sales team integrates Salesforce with WhatsApp to send messages to customers.
Illustration:
INTEGRATION FOR SALES TEAMS ┌────────────────────────────────────────────┐ │ Salesforce + LinkedIn = Customer info │ │ Salesforce + Email = Automated messages │ │ Salesforce + WhatsApp = Direct chat │ └────────────────────────────────────────────┘
Mini summary: Integration helps sales teams be more productive.
Definition: Integration improves customer experience by giving a complete view of the customer.
Why important: Happy customers are loyal customers.
Simple explanation: Like a restaurant that remembers your favourite dish – you feel special.
Real-life example: A company that integrates sales, support, and marketing can see everything a customer has done.
School example: The school integrates attendance, grades, and communication – parents see everything in one place.
Home example: Your family integrates a chore chart with a reward system – everyone knows what they need to do.
Nigerian example: A bank integrates its app with customer service – you can solve problems quickly.
Illustration:
INTEGRATION AND CUSTOMER EXPERIENCE ┌────────────────────────────────────────────┐ │ Complete customer view │ │ Faster problem solving │ │ Personalized service │ │ Happy customers │ └────────────────────────────────────────────┘
Mini summary: Integration helps create a better customer experience.
Definition: Integration ensures data is consistent across systems.
Why important: Accurate data leads to better decisions.
Simple explanation: Like having a single source of truth – you know what’s correct.
Real-life example: When you update a customer’s phone number in Salesforce, it updates in all integrated systems.
School example: When a student changes address, it updates in all school systems.
Home example: When you update your calendar, it updates on all your devices.
Nigerian example: A business updates a price in one system, and it updates everywhere.
Illustration:
DATA ACCURACY ┌────────────────────────────────────────────┐ │ Update in one system → Updates in all │ │ No duplicate entry │ │ Always have the latest information │ └────────────────────────────────────────────┘
Mini summary: Integration ensures data is accurate and consistent.
Definition: Integration saves time by automating tasks that would otherwise be done manually.
Why important: Time is money – saving time means saving money.
Simple explanation: Like using a dishwasher instead of washing dishes by hand – it saves time.
Real-life example: Automatically sending invoices when a deal is closed – no manual work.
School example: Automatically sending report cards to parents – no mailing.
Home example: Automatically paying bills – no remembering due dates.
Nigerian example: Automatically updating inventory when a sale is made – no manual counting.
Illustration:
TIME SAVINGS ┌────────────────────────────────────────────┐ │ Manual task: 1 hour │ │ Automated task: 5 minutes │ │ Time saved: 55 minutes │ └────────────────────────────────────────────┘
Mini summary: Integration saves a lot of time by automating tasks.
Definition: Integration helps businesses grow by making them more efficient.
Why important: Growing businesses need to be efficient to serve more customers.
Simple explanation: Like a tree that grows bigger – it needs a strong foundation.
Real-life example: A business that integrates its systems can handle more customers without hiring more staff.
School example: A school that integrates its systems can handle more students.
Home example: A family that integrates its chores can get more done in less time.
Nigerian example: A business that integrates its systems can expand to new locations.
Illustration:
BUSINESS GROWTH ┌────────────────────────────────────────────┐ │ Integration → Efficiency → Growth │ └────────────────────────────────────────────┘
Mini summary: Integration helps businesses grow by making them more efficient.
Encourage students to think of integration in their daily lives. Use the market stall story to illustrate the concept. Discuss how integration can help in different industries.
Did you know that Salesforce has a platform called "MuleSoft" that helps businesses integrate their systems easily? It’s like a super‑connector!
System A ───API───▶ System B
│ │
└─────────┬─────────┘
▼
Data is shared
┌────────────────────────────────────────────┐ │ CRM ◀───▶ Email │ │ E‑com ◀───▶ Payment │ │ Sales ◀───▶ Inventory │ │ Helpdesk ◀───▶ Knowledge Base │ └────────────────────────────────────────────┘
Without Integration With Integration ┌──────────────────┐ ┌──────────────────┐ │ ❌ Manual entry │ │ ✅ Automatic │ │ ❌ Errors │ │ ✅ Fewer errors │ │ ❌ Slow │ │ ✅ Fast │ └──────────────────┘ └──────────────────┘
| Without Integration | With Integration |
|---|---|
| Manual data entry | Automatic data sync |
| Errors are common | Fewer errors |
| Wasted time | Saves time |
| Inconsistent data | Consistent data |
| System | Integrates With |
|---|---|
| Salesforce | Gmail, Outlook, QuickBooks, Slack |
| E‑commerce | Payment gateways, Shipping systems |
| Accounting | Sales systems, Payment systems |
Fantastic work! You have completed Module 1. You learned that integration means systems talking to each other and sharing information. You discovered why integration is important – it saves time, reduces errors, and helps businesses grow. You also learned about APIs, common integration scenarios, and how Salesforce integrates with other systems.
You now understand the basics of integration. You are ready for Module 2, where we will learn about data migration – moving data safely from one system to another. Keep up the great work! 🔗
| Term | Match |
|---|---|
| Integration | Systems sharing information |
| API | Rules for communication |
| System | Tool for a specific job |
| Data | Information |
| Automation | Computer does tasks |
Scenario 1: Chidi runs a small business. He uses Salesforce for sales and QuickBooks for accounting. He wants to integrate them. What benefit would he get?
Scenario 2: Ada’s school uses a system for attendance and a system for grades. They are not integrated. What problems might this cause?
In groups of 3, list 5 systems that a business might use. Then, draw arrows to show how they could be integrated. Present your diagram to the class.
Think of a system you use at home or school. Write down what other systems it could integrate with and why.
Create a poster showing the integration of 3 systems for a fictional business. Include: the systems, how they connect, and the benefits. Present it to the class.
Write a one-page plan for integrating two systems for a small business in Nigeria. Include: the systems, how they will connect, and the expected benefits.
Think of a business that does not use integration. Write a paragraph explaining how integration would help them grow.
MCQ answers: 1‑B, 2‑B, 3‑A, 4‑A, 5‑A, 6‑A, 7‑B, 8‑A, 9‑A, 10‑A, 11‑A, 12‑A, 13‑A, 14‑A, 15‑A.
In Module Two, we will learn about Data Migration – Moving Data Safely. You will discover how to move data from one system to another, clean it, and make sure it's correct. Get ready to become a data mover!
🔗 Congratulations! You have completed Module One. You are now an integration expert! 🔗
Salesforce Integration & Data Migration – Module 2: Data Migration – Moving Data Safely
Hello, data mover! 👋 In Module 1, we learned about integration – how systems talk to each other. Now, in Module 2, we are going to learn about data migration – how to move data from one system to another safely.
Imagine you are moving to a new house. You have to pack all your things carefully, carry them to the new house, and unpack them. You don't want to lose anything or break anything. Data migration is exactly the same – but with data!
In this module, you will learn what data migration is, why it is important, and how to do it safely. You will also learn about data mapping, data cleaning, and the ETL process (Extract, Transform, Load).
Ready to become a data mover? Let's go! 🚀
After studying this module, you will be able to:
There was a family in Lagos – the Adeyemis. They lived in a small apartment, but they were moving to a bigger house in Ibadan. They had many things: furniture, clothes, books, and kitchenware. They wanted to move everything safely.
Mr. Adeyemi made a plan. He packed everything carefully and labeled each box. He made a list of what was in each box. When they arrived at the new house, they unpacked and put everything in the right place. Nothing was lost or broken.
Data migration is just like that – but with information! You need to plan, pack (extract), move (transform), and unpack (load) your data into the new system. And just like the Adeyemis, you want to make sure nothing is lost or broken.
Definition: Data migration is the process of moving data from one system to another.
Why important: It's needed when you switch systems, upgrade, or combine systems.
Simple explanation: Like moving your toys from one room to another – you have to carry them carefully.
Real-life example: A company moves its customer data from Excel to Salesforce.
School example: The school moves student records from paper files to a digital system.
Home example: You move your photos from your phone to your computer.
Nigerian example: A bank moves customer data from an old system to a new one.
Illustration:
DATA MIGRATION ┌────────────┐ ┌────────────┐ │ Old System│────────▶│ New System│ │ (Source) │ │ (Target) │ └────────────┘ └────────────┘
Mini summary: Data migration is moving data from one system to another.
Definition: We migrate data when we switch to a new system, upgrade an existing one, or combine data from different sources.
Why important: Without migration, you can't use new systems with your old data.
Simple explanation: Like moving to a new house – you need to bring your things with you.
Real-life example: A company migrates to Salesforce because they want a better sales system.
School example: The school migrates to a new learning management system.
Home example: You migrate your contacts to a new phone.
Nigerian example: A business migrates to a new accounting system.
Illustration:
WHY MIGRATE? ┌────────────────────────────────────────────┐ │ ✅ Switch to a new system │ │ ✅ Upgrade an existing system │ │ ✅ Combine data from different sources │ └────────────────────────────────────────────┘
Mini summary: We migrate data to switch systems, upgrade, or combine data.
Definition: ETL stands for Extract, Transform, Load – the three steps of data migration.
Why important: It's the standard process for moving data safely.
Simple explanation: Like packing (extract), changing (transform), and unpacking (load).
Real-life example: You extract data from Excel, transform it to fit Salesforce, and load it into Salesforce.
School example: The school extracts student data, transforms it into the new format, and loads it into the new system.
Home example: You extract photos from your phone, transform them (rename, organize), and load them to your computer.
Nigerian example: A bank extracts customer data, transforms it to match the new system, and loads it.
Illustration:
ETL PROCESS ┌────────────┐ ┌────────────┐ ┌────────────┐ │ Extract │──▶│ Transform │──▶│ Load │ │ (Get data)│ │ (Change) │ │ (Put in) │ └────────────┘ └────────────┘ └────────────┘
Mini summary: ETL means Extract, Transform, Load – the steps of data migration.
Definition: Extract means getting data from the source system.
Why important: You need to get the data before you can move it.
Simple explanation: Like taking books off a shelf before you move them.
Real-life example: You export data from an Excel file.
School example: The school extracts student records from the old system.
Home example: You copy photos from your phone to your computer.
Nigerian example: A bank extracts customer data from their old database.
Illustration:
EXTRACT ┌────────────┐ │ Source │──▶ Export data │ System │ └────────────┘
Mini summary: Extract means getting data from the source system.
Definition: Transform means changing the data to fit the new system.
Why important: Systems have different formats – you need to make the data fit.
Simple explanation: Like changing the currency from dollars to naira – you need to convert it.
Real-life example: Changing a date format from DD/MM/YYYY to MM/DD/YYYY.
School example: Changing student names to match the new system's format.
Home example: Renaming photos to a consistent format.
Nigerian example: Changing phone numbers to a standard format.
Illustration:
TRANSFORM ┌────────────┐ ┌────────────┐ │ Old Data │──▶│ New Data │ │ DD/MM/YY │ │ MM/DD/YY │ └────────────┘ └────────────┘
Mini summary: Transform means changing data to fit the new system.
Definition: Load means putting the transformed data into the new system.
Why important: This is the final step – the data is now in the new system.
Simple explanation: Like putting books on shelves in the new house.
Real-life example: You import data into Salesforce.
School example: The school loads student data into the new system.
Home example: You upload photos to your computer.
Nigerian example: A bank loads customer data into the new system.
Illustration:
LOAD ┌────────────┐ │ New │◀── Import data │ System │ └────────────┘
Mini summary: Load means putting data into the new system.
Definition: Data mapping is matching fields from the source system to fields in the target system.
Why important: You need to know where each piece of data goes.
Simple explanation: Like matching puzzle pieces – each piece fits in a specific place.
Real-life example: Matching "Customer Name" in Excel to "Name" in Salesforce.
School example: Matching "Student ID" in the old system to "ID" in the new system.
Home example: Matching "Contact Name" on your phone to "Name" on your computer.
Nigerian example: Matching "Account Number" in the old system to "Account Number" in the new system.
Illustration:
DATA MAPPING ┌────────────┐ ┌────────────┐ │ Source │ │ Target │ │ Field │────────▶│ Field │ │ Cust Name │ │ Name │ │ Cust Phone│ │ Phone │ └────────────┘ └────────────┘
Mini summary: Data mapping matches fields between systems.
Definition: Data cleaning means fixing errors, removing duplicates, and ensuring data is accurate.
Why important: Dirty data causes problems in the new system.
Simple explanation: Like cleaning your room before moving – you throw away rubbish and organize things.
Real-life example: Removing duplicate customer records, fixing spelling mistakes.
School example: Cleaning student records – fixing typos, removing duplicates.
Home example: Cleaning your contact list – removing old numbers, fixing names.
Nigerian example: Cleaning customer data – fixing phone numbers, removing duplicates.
Illustration:
DATA CLEANING ┌────────────────────────────────────────────┐ │ ❌ Duplicate records │ │ ❌ Misspelled names │ │ ❌ Wrong phone numbers │ │ ✅ Fix errors │ │ ✅ Remove duplicates │ │ ✅ Standardize data │ └────────────────────────────────────────────┘
Mini summary: Data cleaning fixes errors and removes duplicates.
Definition: Clean data is accurate, complete, and consistent.
Why important: Clean data leads to better decisions and fewer problems.
Simple explanation: Like having a clean room – you can find things easily.
Real-life example: Clean data means you can trust your reports.
School example: Clean data means you can trust student records.
Home example: Clean data means you can trust your contact list.
Nigerian example: Clean data means you can trust your customer information.
Illustration:
CLEAN DATA = GOOD DECISIONS ┌────────────────────────────────────────────┐ │ Clean data → Trusted data → Good decisions│ └────────────────────────────────────────────┘
Mini summary: Clean data leads to better decisions.
Definition: Data validation means checking if the data is correct and meets the rules.
Why important: It ensures data quality before migration.
Simple explanation: Like checking your homework before submitting it.
Real-life example: Checking if phone numbers have the correct number of digits.
School example: Checking if student IDs are valid.
Home example: Checking if email addresses are correct.
Nigerian example: Checking if account numbers are valid.
Illustration:
DATA VALIDATION ┌────────────────────────────────────────────┐ │ ✅ Check formats │ │ ✅ Check required fields │ │ ✅ Check for duplicates │ │ ✅ Ensure data is complete │ └────────────────────────────────────────────┘
Mini summary: Data validation checks if data is correct and complete.
Definition: Testing the migration means doing a practice run before the real migration.
Why important: It helps you find problems before they become big.
Simple explanation: Like practising a dance before the performance.
Real-life example: Migrating a small sample of data first.
School example: Testing the new system with a few students first.
Home example: Testing your backup before you need it.
Nigerian example: Testing the migration with a small set of customers first.
Illustration:
TESTING ┌────────────────────────────────────────────┐ │ Test migration → Check results → Fix bugs │ └────────────────────────────────────────────┘
Mini summary: Testing helps find problems before the real migration.
Definition: Full migration is when you move all the data from the source to the target.
Why important: This is the final step – your new system is now live.
Simple explanation: Like finally moving all your furniture to the new house.
Real-life example: Migrating all customer data to Salesforce.
School example: Moving all student records to the new system.
Home example: Moving all your photos to your new computer.
Nigerian example: Moving all customer data to the new system.
Illustration:
FULL MIGRATION ┌────────────┐ ┌────────────┐ │ Old System│────────▶│ New System│ │ (All data)│ │ (All data)│ └────────────┘ └────────────┘
Mini summary: Full migration moves all data to the new system.
Definition: Post-migration is checking the data after the migration to ensure everything is correct.
Why important: You need to make sure nothing was lost or broken.
Simple explanation: Like checking that all your boxes arrived safely.
Real-life example: Checking that all customers are in Salesforce with correct information.
School example: Checking that all student records are complete.
Home example: Checking that all photos are on your new computer.
Nigerian example: Checking that all customer data is correct.
Illustration:
POST-MIGRATION ┌────────────────────────────────────────────┐ │ ✅ Check data quality │ │ ✅ Verify records │ │ ✅ Fix any issues │ └────────────────────────────────────────────┘
Mini summary: Post-migration checks that everything is correct.
Definition: Mistakes to avoid when migrating data.
Why important: Avoiding mistakes saves time and data.
Simple explanation: Like not losing your keys when moving – you learn what not to do.
Real-life example: Not cleaning data before migration.
School example: Not testing the migration first.
Home example: Not checking if photos were copied correctly.
Nigerian example: Not validating data before migration.
Illustration:
COMMON MISTAKES ❌ Not cleaning data ❌ Not testing migration ❌ Not backing up data ❌ Not validating data
Mini summary: Common mistakes include not cleaning data and not testing.
Definition: Best practices are the best ways to migrate data.
Why important: They help you migrate safely and successfully.
Simple explanation: Like a checklist for moving – you follow it to ensure success.
Real-life example: Clean data, test migration, and backup data.
School example: Plan migration, test with sample data, and validate results.
Home example: Backup data, test the move, and check everything.
Nigerian example: Clean data, test with a small sample, and validate.
Illustration:
BEST PRACTICES 1. Plan migration 2. Clean data 3. Test with sample 4. Backup data 5. Validate results
Mini summary: Best practices help you migrate safely and successfully.
Encourage students to think of migration as a moving process. Use the ETL analogy throughout. Discuss why testing is important before a big move.
Did you know that Salesforce has built-in tools for data migration called "Data Loader" and "Import Wizard"? They make it easier to move data into Salesforce!
┌────────────┐ ┌────────────┐ ┌────────────┐ │ Extract │──▶│ Transform │──▶│ Load │ │ (Source) │ │ (Change) │ │ (Target) │ └────────────┘ └────────────┘ └────────────┘
Source Field Target Field ┌────────────────────────────────────────────┐ │ Cust_Name → Name │ │ Cust_Phone → Phone │ │ Cust_Email → Email │ │ Cust_Address → Address │ └────────────────────────────────────────────┘
┌────────────────────────────────────────────┐ │ Plan → Clean → Test → Migrate → Validate │ └────────────────────────────────────────────┘
| Before Migration | After Migration |
|---|---|
| Data in old system | Data in new system |
| May be messy | Clean and organized |
| May have duplicates | Duplicates removed |
| May have errors | Errors fixed |
| Manual Migration | Automated Migration |
|---|---|
| Slow | Fast |
| Prone to errors | Fewer errors |
| Requires human effort | Automated process |
| Can be tiring | Efficient |
Fantastic work! You have completed Module 2. You learned that data migration is the process of moving data from one system to another. You discovered the ETL process – Extract, Transform, Load. You also learned about data mapping, data cleaning, and the importance of testing. You now understand how to move data safely and efficiently.
You are ready for Module 3, where we will learn about keeping data clean and managing integrations. Keep up the great work! 📦
| Term | Match |
|---|---|
| Data Migration | Moving data |
| ETL | Extract, Transform, Load |
| Extract | Getting data |
| Transform | Changing data |
| Load | Putting data |
Scenario 1: Chidi's company is moving from an old CRM to Salesforce. He needs to migrate customer data. What steps should he follow?
Scenario 2: Ada is migrating student records to a new system. She finds many duplicate records. What should she do?
In groups of 3, create a migration plan for a fictional business. Include: the source system, target system, ETL steps, data mapping, and testing plan. Present it to the class.
Think of a data migration you have experienced (e.g., moving contacts to a new phone). Write down the steps you followed.
Create a data migration plan for a school moving from paper records to a digital system. Include: source, target, ETL steps, data mapping, cleaning, and testing.
Write a one-page guide for migrating data from Excel to Salesforce. Include: data cleaning, mapping, ETL steps, and testing.
Think of a migration that went wrong (real or imagined). Write a paragraph explaining what went wrong and how it could have been avoided.
MCQ answers: 1‑A, 2‑A, 3‑A, 4‑B, 5‑C, 6‑A, 7‑A, 8‑A, 9‑A, 10‑A, 11‑A, 12‑A, 13‑A, 14‑A, 15‑A.
In Module Three, we will learn about Keeping Data Clean & Managing Integrations. You will discover how to maintain data quality, handle duplicates, and monitor integrations. Get ready to become a data guardian!
📦 Congratulations! You have completed Module Two. You are now a data mover! 📦
Salesforce Integration & Data Migration – Module 3: Keeping Data Clean & Managing Integrations
Hello, data guardian! 👋 In Module 1, we learned about integration – how systems talk to each other. In Module 2, we learned about data migration – moving data safely. Now, in Module 3, we are going to learn how to keep data clean and manage integrations.
Imagine you have a beautiful garden. You plant seeds, water them, and watch them grow. But if you don't remove weeds, your garden will be messy. Data is the same – if you don't keep it clean, it becomes messy and unusable. And integrations need to be monitored to make sure they keep working.
In this module, you will learn how to keep data clean, manage duplicates, monitor integrations, and troubleshoot problems. You will also learn best practices to ensure your data stays healthy and your integrations run smoothly.
Ready to become a data guardian? Let's go! 🚀
After studying this module, you will be able to:
There was a librarian named Mrs. Okafor in Abuja. She ran a big library with thousands of books. Every day, people borrowed and returned books. Mrs. Okafor made sure every book was in its right place. She also checked for damaged books and fixed them. She kept a record of every book.
One day, the library got a new computer system. It was connected to other libraries. Mrs. Okafor had to make sure the data was clean and that the system worked well with others. She checked for duplicates, fixed errors, and monitored the system to ensure it was working.
Because of her hard work, the library ran smoothly. People could find any book easily, and the system never broke. That's what we will learn in this module – how to keep data clean and manage integrations.
Definition: Data hygiene is the practice of keeping data clean, accurate, and up‑to‑date.
Why important: Clean data leads to better decisions and fewer problems.
Simple explanation: Like brushing your teeth – you do it regularly to keep them healthy.
Real-life example: A company regularly updates customer phone numbers and addresses.
School example: The school updates student records at the start of every term.
Home example: You update your contact list when someone changes their number.
Nigerian example: A bank regularly updates customer information.
Illustration:
DATA HYGIENE ┌────────────────────────────────────────────┐ │ ✅ Clean data │ │ ✅ Accurate data │ │ ✅ Up‑to‑date data │ └────────────────────────────────────────────┘
Mini summary: Data hygiene means keeping data clean and up‑to‑date.
Definition: Data hygiene matters because dirty data causes problems.
Why important: Dirty data leads to wrong decisions and wasted time.
Simple explanation: Like trying to read a book with missing pages – you can't get the full story.
Real-life example: A wrong phone number means you can't reach a customer.
School example: A wrong address means report cards don't reach students.
Home example: A wrong phone number means you can't call a friend.
Nigerian example: A wrong email means you can't send invoices to customers.
Illustration:
DIRTY DATA PROBLEMS ┌────────────────────────────────────────────┐ │ ❌ Wrong decisions │ │ ❌ Wasted time │ │ ❌ Angry customers │ │ ❌ Lost opportunities │ └────────────────────────────────────────────┘
Mini summary: Dirty data causes problems – clean data is essential.
Definition: Duplicates are records that appear more than once in your system.
Why important: Duplicates waste space, cause confusion, and lead to errors.
Simple explanation: Like having two copies of the same book – it takes up space and confuses you.
Real-life example: Two records for the same customer with different phone numbers.
School example: Two records for the same student with different grades.
Home example: Two entries for the same contact on your phone.
Nigerian example: Two records for the same customer with different addresses.
Illustration:
DUPLICATES ┌────────────────────────────────────────────┐ │ Customer A │ Phone: 080-xxx-xxxx │ │ Customer A │ Phone: 080-yyy-yyyy │ │ ➡️ Merge into one record │ └────────────────────────────────────────────┘
Mini summary: Duplicates are multiple records for the same thing – they need to be merged.
Definition: Finding duplicates means searching for records that have the same information.
Why important: You need to find them before you can fix them.
Simple explanation: Like looking for two identical socks in your drawer.
Real-life example: Using Salesforce's duplicate detection tools.
School example: Searching for students with the same name.
Home example: Checking your contact list for the same name.
Nigerian example: Searching for customers with the same phone number.
Illustration:
FINDING DUPLICATES ┌────────────────────────────────────────────┐ │ Search for: │ │ • Same name │ │ • Same phone number │ │ • Same email address │ └────────────────────────────────────────────┘
Mini summary: Find duplicates by searching for matching information.
Definition: Merging means combining two or more duplicate records into one.
Why important: It cleans up your system and ensures you have one correct record.
Simple explanation: Like putting two puzzle pieces together to make one.
Real-life example: Merging two customer records into one.
School example: Merging two student records into one.
Home example: Merging two contact entries on your phone.
Nigerian example: Merging two customer records.
Illustration:
MERGING DUPLICATES
┌────────────┐ ┌────────────┐ ┌────────────┐
│ Record 1 │ │ Record 2 │──▶│ Merged │
│ Name: A │ │ Name: A │ │ Record │
│ Phone: X │ │ Phone: Y │ │ Name: A │
└────────────┘ └────────────┘ │ Phone: X,Y│
└────────────┘
Mini summary: Merging combines duplicates into one correct record.
Definition: Preventing duplicates means stopping them from happening in the first place.
Why important: Prevention is better than cure.
Simple explanation: Like closing the door so flies don't come in.
Real-life example: Using duplicate rules in Salesforce.
School example: Using a unique student ID to prevent duplicates.
Home example: Using a single contact list to prevent duplicates.
Nigerian example: Using a unique customer ID.
Illustration:
PREVENTING DUPLICATES ┌────────────────────────────────────────────┐ │ ✅ Use unique IDs │ │ ✅ Set duplicate rules │ │ ✅ Validate data at entry │ └────────────────────────────────────────────┘
Mini summary: Prevent duplicates with unique IDs and validation rules.
Definition: Monitoring integrations means checking that systems are still connected and working.
Why important: Integrations can break, and you need to know when they do.
Simple explanation: Like checking your internet connection – you want to know if it's working.
Real-life example: A sales team checks that Salesforce is still connected to Gmail.
School example: The school checks that the attendance system is still connected to the parent notification system.
Home example: You check that your phone is still connected to your smartwatch.
Nigerian example: A business checks that its website is still connected to its payment system.
Illustration:
MONITORING INTEGRATIONS ┌────────────────────────────────────────────┐ │ ✅ Check connection daily │ │ ✅ Look for errors │ │ ✅ Ensure data is flowing │ └────────────────────────────────────────────┘
Mini summary: Monitoring integrations means checking that they are still working.
Definition: Common problems include data not syncing, errors, and slow performance.
Why important: Knowing problems helps you fix them quickly.
Simple explanation: Like knowing common car problems – you can fix them faster.
Real-life example: Data is not showing up in Salesforce after being updated in another system.
School example: Student grades are not updating in the parent portal.
Home example: Your photos are not syncing to the cloud.
Nigerian example: Customer orders are not appearing in the system.
Illustration:
COMMON PROBLEMS ┌────────────────────────────────────────────┐ │ ❌ Data not syncing │ │ ❌ Errors │ │ ❌ Slow performance │ │ ❌ Authentication issues │ └────────────────────────────────────────────┘
Mini summary: Common integration problems include data not syncing and errors.
Definition: Troubleshooting means finding and fixing integration problems.
Why important: You need to fix problems quickly to keep systems working.
Simple explanation: Like solving a puzzle – you find the missing piece and put it back.
Real-life example: Checking API keys, checking network connections, and reviewing error logs.
School example: Checking if the system is connected to the internet.
Home example: Restarting your phone to fix a connection issue.
Nigerian example: Checking if the payment gateway is working.
Illustration:
TROUBLESHOOTING STEPS ┌────────────────────────────────────────────┐ │ 1. Identify the problem │ │ 2. Check connections │ │ 3. Review error logs │ │ 4. Fix the issue │ │ 5. Test to confirm │ └────────────────────────────────────────────┘
Mini summary: Troubleshooting means finding and fixing integration problems.
Definition: Best practices are the best ways to keep data clean.
Why important: They help you maintain high data quality.
Simple explanation: Like rules for brushing your teeth – you follow them to keep your teeth healthy.
Real-life example: Regularly review and update data.
School example: At the start of each term, verify student information.
Home example: Review your contact list every month.
Nigerian example: Review customer data every quarter.
Illustration:
DATA HYGIENE BEST PRACTICES ┌────────────────────────────────────────────┐ │ 1. Regularly clean data │ │ 2. Remove duplicates │ │ 3. Validate data at entry │ │ 4. Update data regularly │ │ 5. Monitor data quality │ └────────────────────────────────────────────┘
Mini summary: Best practices help you keep data clean and accurate.
Definition: Best practices are the best ways to manage integrations.
Why important: They help you avoid problems and keep things running smoothly.
Simple explanation: Like rules for a game – they make it fun and fair.
Real-life example: Monitor integrations daily, have a backup plan.
School example: Check integrations before the start of term.
Home example: Check your devices are connected before you need them.
Nigerian example: Monitor payment integrations daily.
Illustration:
INTEGRATION BEST PRACTICES ┌────────────────────────────────────────────┐ │ 1. Monitor regularly │ │ 2. Have a backup plan │ │ 3. Test after changes │ │ 4. Keep documentation │ │ 5. Train your team │ └────────────────────────────────────────────┘
Mini summary: Best practices help you manage integrations successfully.
Definition: Data governance is the set of rules for managing data in an organization.
Why important: It ensures data is consistent and secure.
Simple explanation: Like rules for a club – everyone knows what to do.
Real-life example: A company has rules about who can access data and how it should be formatted.
School example: The school has rules about how student data should be stored and who can access it.
Home example: Your family has rules about who updates the shared calendar.
Nigerian example: A business has rules about customer data privacy.
Illustration:
DATA GOVERNANCE ┌────────────────────────────────────────────┐ │ ✅ Who can access data │ │ ✅ How data should be formatted │ │ ✅ How long to keep data │ │ ✅ Data security rules │ └────────────────────────────────────────────┘
Mini summary: Data governance is a set of rules for managing data.
Definition: Data security means protecting data from unauthorized access. Data privacy means protecting personal information.
Why important: You need to keep data safe and respect people's privacy.
Simple explanation: Like keeping your diary in a locked drawer – only you can read it.
Real-life example: Encrypting data and using strong passwords.
School example: Keeping student records secure and private.
Home example: Protecting your personal information online.
Nigerian example: Following NDPR (Nigeria Data Protection Regulation).
Illustration:
DATA SECURITY ┌────────────────────────────────────────────┐ │ ✅ Strong passwords │ │ ✅ Encryption │ │ ✅ Access controls │ │ ✅ Privacy policies │ └────────────────────────────────────────────┘
Mini summary: Data security and privacy are about protecting data.
Definition: A data audit is a regular check of your data quality.
Why important: It helps you find problems before they become big.
Simple explanation: Like a doctor's check‑up – you want to make sure everything is healthy.
Real-life example: A company reviews its data every quarter.
School example: The school reviews student records twice a year.
Home example: You review your contact list every month.
Nigerian example: A bank reviews customer data annually.
Illustration:
DATA AUDIT ┌────────────────────────────────────────────┐ │ ✅ Check for duplicates │ │ ✅ Check for errors │ │ ✅ Check for missing data │ │ ✅ Update outdated data │ └────────────────────────────────────────────┘
Mini summary: Regular data audits help find and fix data problems.
Definition: Bringing it all together means using all your skills to keep data clean and integrations working.
Why important: When everything works together, your business runs smoothly.
Simple explanation: Like a well‑oiled machine – all parts work together.
Real-life example: A company with clean data and working integrations is efficient.
School example: A school with clean data and working integrations runs smoothly.
Home example: A family with organized data and working technology has less stress.
Nigerian example: A business with clean data and working integrations grows faster.
Illustration:
BRINGING IT ALL TOGETHER ┌────────────────────────────────────────────┐ │ Clean Data + Working Integrations │ │ = Successful Business │ └────────────────────────────────────────────┘
Mini summary: Clean data and working integrations lead to success.
Encourage students to think of data hygiene like cleaning their room. Discuss how duplicates can cause confusion. Use the library story to illustrate the importance of regular audits.
Did you know that Salesforce has built‑in tools for duplicate management and data quality? They make it easier to keep your data clean!
┌────────────────────────────────────────────┐ │ Data Hygiene Cycle │ │ ┌─────────────┐ │ │ │ Clean Data │ │ │ └──────┬──────┘ │ │ ▼ │ │ ┌─────────────┐ │ │ │ Remove │ │ │ │ Duplicates │ │ │ └──────┬──────┘ │ │ ▼ │ │ ┌─────────────┐ │ │ │ Monitor │ │ │ │ Integrations│ │ │ └──────┬──────┘ │ │ ▼ │ │ ┌─────────────┐ │ │ │ Audit Data │ │ │ └──────┬──────┘ │ │ ▼ │ │ ┌─────────────┐ │ │ │ Improve │ │ │ └─────────────┘ │ └────────────────────────────────────────────┘
Duplicate Found → Review → Merge → Verify
│ │ │ │
▼ ▼ ▼ ▼
Search for Decide if Combine Check
duplicates duplicate records result
┌────────────────────────────────────────────┐ │ Daily Integration Check │ │ ✅ Is the connection active? │ │ ✅ Is data flowing? │ │ ✅ Any errors? │ │ ✅ Is performance okay? │ └────────────────────────────────────────────┘
| Clean Data | Dirty Data |
|---|---|
| Accurate | Inaccurate |
| Complete | Incomplete |
| Consistent | Inconsistent |
| Leads to good decisions | Leads to bad decisions |
| Manual Monitoring | Automated Monitoring |
|---|---|
| Takes time | Saves time |
| Prone to errors | Fewer errors |
| Hard to scale | Easy to scale |
| Less efficient | More efficient |
Amazing work! You have completed Module 3. You learned about data hygiene – keeping data clean and up‑to‑date. You discovered how to manage duplicates – find, merge, and prevent them. You also learned about monitoring integrations, troubleshooting problems, and following best practices.
You now have all the tools to keep data clean and integrations working. Remember, clean data and working integrations are the foundation of a successful business. Keep practising, keep learning, and you will be a data guardian in no time! 🧹
| Term | Match |
|---|---|
| Data Hygiene | Keeping data clean |
| Duplicate | Record that appears more than once |
| Merge | Combine duplicates |
| Monitor | Check if something is working |
| Troubleshoot | Find and fix problems |
Scenario 1: Chidi notices that his Salesforce has many duplicate customer records. What should he do?
Scenario 2: Ada's integration between Salesforce and her email system stops working. What steps should she take?
In groups of 3, create a data hygiene plan for a fictional business. Include: how to clean data, how to manage duplicates, and how to monitor integrations. Present it to the class.
Think of a system you use (e.g., phone contacts, email). Write down how you keep it clean and monitor it.
Create a poster showing the data hygiene process for a school. Include: cleaning data, removing duplicates, and monitoring systems.
Write a one-page guide for maintaining data hygiene for a small business in Nigeria. Include: cleaning data, managing duplicates, and monitoring integrations.
Think of a business that has data quality problems. Write a paragraph explaining the problems and suggesting solutions.
MCQ answers: 1‑A, 2‑A, 3‑A, 4‑A, 5‑A, 6‑A, 7‑A, 8‑A, 9‑A, 10‑A, 11‑A, 12‑A, 13‑A, 14‑A, 15‑A.
Congratulations! You have completed all three modules of the Salesforce Integration & Data Migration course. You are now equipped with the knowledge to integrate systems, migrate data, and keep it all clean.
In the next step, you can practise these skills in a real Salesforce environment, or explore advanced topics like Salesforce APIs, MuleSoft, or data warehousing. Keep learning, keep exploring, and remember – you are now a data guardian! 🧹
🧹 Congratulations! You have completed Module Three. You are now a data guardian! 🧹