How to Choose a Data Recovery Lab?

Comunicat

Începând cu 1 ianuarie 2018, companiile Python Systems și QUARTZ Data Recovery au încheiat un parteneriat cu scopul de a-și uni eforturile pentru a oferire servicii premium de recuperare a datelor la prețuri competitive.
De la începutul anului, companiile și-au extins dotările tehnice, baza de piese de schimb, cunoștințele tehnice și au implementat aceasi grila de preturi.

Ca urmare a încheierii parteneriatului, serviciile de diagnosticare, evaluare și recuperare a datelor se desfășoară exclusiv în laboratorul de la sediul QUARTZ Data Recovery din str. Ghe. Țițeica Nr. 142. Primirea suporturilor de date defecte dar și recepționarea datelor recuperate se poate efectua atât la sediul Python Systems Com din str. Vladoianu nr. 48, cât și la sediul QUARTZ Data Recovery din str. Gheorghe Țițeica.

How to Choose a Data Recovery Lab?

A simple internet search could return dozens of results. Beautiful sites, with almost the same information, all of them very good, some of them more expensive, some of them not so.

What should one keep into account when choosing such a company? How you can ask in confidence the support of a specialized Data Recovery (DR) Lab ? How can you be sure that your data is in good hands?

1. Check the company background:

history on the market;
references;
technical competencies;
certifications;
partners.

2. Check the lab equipment:

external providers references;
photographs and/or video.

3. Check the testimonials:

Check the testimonials of the lab. Ask for confirmation of the customers.

4. Ask about the success rate. A 100% rate is unrealistic. A professional lab has a success rate around 80% – 85%.

5. Prices:

Any professional company is investing in people, equipment, training, security and confidentiality conditions. All these are reflected in the pricing. Inexpensive and good quality is not possible.

Data security is the top concern for customers when they choose a data recovery company. The security of sensitive and valuable data is the nr. 1 priority of Python Systems.

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