In a world where data is omnipresent and grows in volume every day, analyzing data becomes increasingly crucial for businesses, institutions, and organizations. Data analysis is no longer limited to searching through spreadsheets: it has become the instrument with which organizations gain insights, improve processes, optimize decisions, and remain future-proof in their operations.

The right analysis at the right time

Data analysis offers diverse possibilities, from simply describing what has happened, through explaining trends and causes, to predicting what could happen and advising on the best choices for the future. Each type of analysis has its own unique methods, application areas, and value in the decision-making process.

In this article, you'll become familiar with the most important forms of data analysis, including descriptive, diagnostic, predictive, and prescriptive analysis. Additionally, you'll find in-depth information about several commonly used analysis techniques such as regression analysis, factor analysis, Monte Carlo simulations, cluster analysis, and time series analysis.

Curious how these analyses can contribute to better insights, more efficient processes, or smarter strategies in your organization? Dive into the individual pages below and discover which method best aligns with your challenge!

Visualization of various data analysis tools and techniques

The 9 most important analysis techniques for entrepreneurs

At EasyData, we distinguish nine powerful analysis techniques that each play their own role in your entrepreneurial success.
Each technique answers different questions and helps you with various challenges:

1

Descriptive analysis
The starting point

Imagine: you're looking back at the past quarter. How much did you sell? Which products were selling like hotcakes, and which weren't? A descriptive analysis gives you the answer to the question: What happened? Think of it as the quarterly report after a busy season. Nice and clear!

View descriptive analysis →
2

Diagnostic analysis
Why did this happen?

You notice that shoe sales suddenly drop. Why? A diagnostic analysis searches for the cause, just like a doctor examining symptoms. Is it due to bad weather? Changed competition? Thanks to this analysis, we discover together why things happen.

Discover diagnostic analysis →
3

Predictive analysis
What's going to happen?

Predicting can be learned! With predictive analysis, we use historical data to predict what you can expect in the future. Is the Christmas rush and clearance sale coming? We'll show you how much inventory you should stock up on, no crystal ball needed!

Explore predictive analysis →
4

Prescriptive analysis
What's the best thing to do?

You want to know how many customers you'll get tomorrow. What's the best action then? A prescriptive analysis gives concrete advice: which actions yield the highest return? This is your personal coach among analyses, not only predictive but also tells you what you should do now.

Discover prescriptive analysis →
5

Time series analysis
Patterns through time

Some trends you only see when you look across months or even years. Time series analysis truly examines your data through time and reveals seasonal patterns and growth lines. Like the sale of sunscreen that peaks every spring: handy for timing your marketing well!

Read more about time series analysis →
6

Regression analysis
The relationship between factors

Do you want to see factually substantiated how much extra revenue you can get if you increase your advertising budget? Regression analysis helps you discover the relationship between multiple factors. Think of the influence of advertising, price, and seasons on your revenue, a mathematically clear analysis!

View regression analysis →
7

Factor analysis
What's really important?

Of the hundreds of data points you collect, often only a few are truly determining for success. Factor analysis brings those to the surface. So you know whether it's the price, your web design, or the delivery time that truly convinces customers.

Discover factor analysis →
8

Cluster analysis
Who are your customers really?

Not all customers are the same! Cluster analysis groups your customers based on behavior, preferences, and characteristics. This way you discover, for example, that your 'early birds' buy very differently from your 'weekend shoppers', perfect for targeted marketing!

Explore cluster analysis →
9

Monte Carlo simulations
Looking ahead at scenarios

You want to know how likely it is that you'll achieve your sales targets next year, despite all kinds of uncertainties. Think of fluctuating raw material prices or unpredictable customer demand. With a Monte Carlo simulation, you run small variations through your assumptions.

Go to Monte Carlo simulations →

EasyData helps you move forward concretely 🚀

All theory is nice, of course, but you want to see results! At EasyData, we believe in actionable steps and measurable improvements. Our data-driven approach always starts with listening to your specific challenges.

Whether you're struggling with:

  • 💶 High costs due to inefficient processes
  • 📊 Unclear reports that raise more questions than they answer
  • 🎯 Difficulty predicting supply and demand
  • ⚡ Time-consuming manual data analysis

We have the experience and tools to help you quickly move forward.
With more than 25 years of expertise in business process automation, we know which approach fits your situation.

Results guaranteed:
You'll experience effective improvements within the first 3 months.
No empty promises, but measurable improvements that you'll immediately notice in your daily practice!

EasyData team working on data analysis projects with modern tools and techniques

Which analysis fits your challenge? 🤔

Together we choose the right analysis technique. Do you want to test something? Then we offer you that opportunity.

Each business situation requires a different approach. Are you looking for clarity about what happened in the past? Then descriptive analysis is your starting point. Do you want to understand why certain trends occurred? Diagnostic analysis provides the answers. Planning for the future? Predictive analysis shows you what to expect, while prescriptive analysis tells you exactly what actions to take.

The beauty of modern data analysis is that you can combine multiple techniques. Start with descriptive analysis to understand your current situation, use diagnostic analysis to identify improvement opportunities, and then apply predictive analysis to anticipate future developments. Finally, prescriptive analysis helps you make the optimal decisions.

Not sure which approach suits your specific situation best? Our data experts are happy to think along with you. During a free consultation, we analyze your current data processes and recommend the most suitable analysis techniques for your goals. This way, you're assured of an approach that truly adds value to your organization.

Ready to go from manual data processing to smart automation?

Thousands of businesses already save 6+ hours per day with our data-driven solutions. From automatic document processing to intelligent data analysis - experience yourself how 98% automation and 99% accuracy transform your business processes.

💶 Realize results within 8 weeks

✅ 70% cost savings in the first year by smart use of data analysis

✅ ROI within 6 months achievable for companies that can effectively execute their transition

✅ European data compliance - GDPR-safe with European data centers and transparent pricing

✅ 25+ years expertise and transparent, you always retain control over your data

✅ No setup costs - You already have your data? Then start quickly with our cloud-based solutions

Frequently asked questions about data automation

How quickly can I start with data automation at EasyData?

You can start within 24 hours with our cloud-based solutions. We first schedule a free 30-minute analysis conversation where we map your current data processes. Then we provide a proof-of-concept within a week with your own data, so you immediately experience the benefits. Full implementation takes an average of 4-8 weeks, depending on the complexity of your processes.

What does data automation cost and when do I see payback time?

Our pricing is completely transparent, we can say something substantial about this after we understand your situation. Most clients earn back their investment within 6 months through savings on manual labor and error reduction. We always make a cost-benefit analysis beforehand, so you know exactly what the ROI will be.

Is my data safe at EasyData and does this comply with European compliance requirements?

Absolutely. All your data remains within European data centers and fully complies with GDPR legislation. Your data is stored and transported encrypted, and you always retain ownership. For extra sensitive data, we also offer on-premise installations. Moreover, we ensure that you never become dependent on one vendor, your data and processes always remain accessible.

What types of documents and data formats can you automatically process?

We process virtually all document types: PDFs, Word documents, Excel files, scanned invoices, contracts, emails, and even handwritten notes. Our AI technology automatically recognizes tables, forms, signatures, and stamps. Additionally, we can extract data from web pages, connect databases, and process real-time feeds from IoT devices. The beauty is that our system learns from every new document type, so accuracy keeps improving.

Can EasyData integrate with our existing business software like SAP, Microsoft, or other systems?

Yes, we have standard connectors for all popular business applications: SAP, Microsoft Dynamics, Salesforce, Office 365, SharePoint, and dozens of other systems. Through APIs, we can also create custom connections. The goal is that our automation seamlessly connects to your current work processes. Your employees don't need to learn new systems - the data automatically flows to the right place in your existing software. We thoroughly test all integrations before going live.

What happens if automation makes errors or encounters exceptions?

Our systems have built-in quality controls and a 'human-in-the-loop' function. In cases of doubt, the system automatically sends documents to an employee for verification via our EasyVerify tool. You can set yourself at what confidence level manual control is desired. On average, we achieve 99% accuracy, but for the remaining 1%, we ensure that a human always looks. All exceptions are logged, so the system continuously learns and improves.

Do we get training and support during the implementation of data automation?

Certainly! We fully guide your team during the transition. This starts with practical workshops in English, where we work with your own data. We train different levels: basic digital literacy for all users, advanced analysis for managers, and strategic interpretation for senior management. After go-live, you get 3 months of intensive support, and then you maintain access to our helpdesk and online knowledge base. We believe in knowledge transfer, so you can operate independently.

Can we start small and expand later, or do we need to start a large project immediately?

We actually recommend starting small! Start for example with invoice processing or one specific document type, prove the value, and then gradually expand. Our modular approach makes this possible without vendor lock-in. You can start with one department or process, measure the savings, and then convince other departments with concrete results. This phased implementation is less risky and ensures better acceptance within the organization. Many of our clients start with a 3-month pilot before fully transitioning.