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The Dedicated Development Center best suits large teams working on lengthy projects. This engagement model increases IT value-for-money and ROI in the long run. In terms of total cost of ownership (TCO), a DDC is often more cost-effective compared to other outsourcing models (T&M, fixed price) or hiring an in-house engineering team.
At DataArt’s Dedicated Development Centers, we staff a team of IT professionals that concentrate on one project – yours. When hiring new team members, we take into account the unique needs of your business, technical requirements, and seniority levels of the specialists required for the project.
AI-powered talent matching and resource planning tools help us accelerate staffing, optimize team composition, and ensure continuous alignment with your project needs.
Our teams of highly-trained engineers have helped many businesses jumpstart their work with a shorter time-to-market, while remaining sustainable in the long-term. With AI-driven development support, we detect risks earlier, automate testing, and streamline delivery pipelines for greater efficiency.
When choosing a DDC partner for a long-term project, your company should be mindful of certain essential factors. The provider should have extensive experience founding and maintaining development centers offshore and nearshore, rich expertise in your business domain, and a firmly established yet flexible process for software development and delivery. The company should be reputable, financially strong, and recognized on the local labor market.
DataArt has all of the above — and not just that!
| Category | Our Strengths |
|---|---|
| Experience & Global Presence | Almost 25 years on the market 25 offices worldwide + remote employees Experience in building and managing development teams |
| Security & Compliance | Holistic approach to security and compliance SOC 2 Type II certified by AICPA Customer ownership and IP rights fixed in MSA Strong corporate compliance and security policies |
| People & Culture | Strong HR brand and People-First culture Higher than industry-average retention rate (92% in 2020) Myriad of HR recognitions and awards worldwide Attrition rate of 15% (2021) |
| Talent & Recruitment | High recruiting standards Rigorous candidate selection (13.3% of applicants hired) 39% of interviewees offered a position Hiring speed Bench of qualified specialists ready to start |
| Engineering Excellence | High standards of software development with AI-assisted code review and automated testing Well-designed and organized delivery process augmented by AI-driven DevOps acceleration |
| Domain Expertise | Deep knowledge in Finance, Travel, Transportation & Hospitality, Media & Entertainment, Healthcare & Life Sciences, and Retail & Distribution supported by AI-enabled data insights and industry-specific accelerators |
At DataArt, we define the following formal criteria for a DDC:
We know from our experience that large and mid-size enterprises usually opt for a DDC to change their technology vendor for long engagements and/or add a new location to their geography.
Mature startups consider DDCs to extend their capacity by opening an office in offshore and/or outsource non-key competencies that their in-house team lacks. Growing startups choose DDCs to successfully pass all the steps of the journey and prepare their digital product for the next investment round.
AI-supported delivery models further benefit these companies by reducing ramp-up time, improving quality through automation, and providing predictive insights on project success.
Contact us if you are not sure whether your project is eligible for a DDC. We will advise you on the best engagement option to move forward.
The monthly rate includes expenses and services required for effective corporate support of the DDC team.
Other engagement-specific expenses are billed separately to provide better transparency and control over the cost. At DataArt, we usually provide these services to clients on a “pay-as-you-use” basis. AI-based reporting tools give clients full visibility into usage, costs, and performance metrics.
Both options are possible, but the type of model can affect the speed of staffing. AI-powered collaboration platforms and virtual workspaces ensure smooth productivity regardless of team location.
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