BIT DataPlatform SaaS

Even a small business can have big data.
You don’t need to process millions of transactions daily to make business sense of connected data.
The data platform as a service links company data into a shared foundation for reporting, analytics, and purposeful use of artificial intelligence. Without building your own data infrastructure.

What problem does the product solve?

Scattered data

Customer, job, or product details exist in every system under a different ID, and the results are put together manually.

Different numbers for the same question

Branches and teams calculate revenue or margin using their own rules.

Background materials instead of decisions

Before every management meeting, data is exported and recalculated. There is no time left to explain the result.

Start with the data you already have

Tell us which systems you use and which questions you can’t answer quickly today. We will propose where to start and prepare the first outputs without building your own infrastructure.

What you get

No infrastructure of your own

You don’t need to buy servers or build a data team. We operate the platform for you.

Fast startup

Start with one area and you can have your first outputs without a lengthy tech project.

Your own data space

Your data is separated from other customers, and access is configured according to roles

Trustworthy numbers

Quality checks, catalog, and traceable origin of data.

AI that evaluates data

Integrated AI works with your data and helps you evaluate it quickly.

Check out BIT DataPlatform

If you don’t want a cloud service, we also offer BIT DataPlatform for your own infrastructure.

How the data
platform
works

The platform sits as a middle layer between your business systems and the analytics stack.

Your systems remain where they are. The platform links their data for analytical use and does not change orders, invoices, or HR records.
Data platform SaaS dátová platforma ako služba schéma

How the implementation works

  1. Questions and priorities
    Together, we define the decision-making that the service should support.
  2. System connection and data preparation
    We verify sources, load history, and prepare indicators.
  3. Verification and training
    We review outputs with your team on real-world business scenarios.
Dátová platforma ako služba data platform SaaS

Which areas can the platform connect?

ERP and business management

Orders, deliveries, invoicing, and job costs together. You know what is ordered, delivered, invoiced, and paid.

Production

Jobs, material consumption, tracked time, and quality together. You know which jobs exceed planned costs.

Warehouse and purchasing

Inventory, reservations, purchasing, and sales together. You know where capital is tied up and what will be missing.

Accounting and controlling

Accounting, budget, jobs, and cost centers together. You know where deviations come from and when money arrives.

CRM and sales

Leads, quotes, orders, and sales performance together. You know which deals bring the desired margin.

HR and projects

Project planning, capacity, and tracked time together. You know if the same team is facing multiple demands.

Marketing and web analytics

Campaigns, web traffic, conversions, and sales together. You know which channels bring real customers.

E-commerce and retail

Orders, discounts, returns, and store sales together. You know which products and branches truly earn money.

Service and customer experience

Service requests, technician travel, parts, and total cost together. You know which contracts cost more work than expected.

Frequently Asked Questions

Which option should we choose?


If you want reporting and data for AI without building your own infrastructure, choose the service. If you need to run the platform in your own environment and handle operations yourself, choose BIT DataPlatform. We will be happy to assist you during the initial consultation.

Do we need to replace our core business systems?


No. We use data from the systems you already use. By default, we only read data from those systems.

Does it make sense if we already use a reporting tool?


Yes, if it lacks high-quality data preparation and data linking. Existing reporting can remain and connect to the new data foundation.

Do we need to connect everything at once?


No. We start with one area and add more onto the same foundation over time.

Will the data be updated in real time?


We set the update frequency based on your decision-making needs and system capabilities. It is an agreed parameter, not a universal promise.

Can AI answer questions about our company?


With prepared data and verified access, AI can assist with analytics and summaries. The answer must be verifiable and cannot bypass user permissions.

Do you still have questions?

Would you like to work with us or learn more about our services?

Feel free to contact us.