Why DataArt?

Why Work with DataArt?

Ahead of the Game

DataArt’s delivery framework gives our clients a competitive advantage by bringing them an agile methodology, a culture of innovation, reliable practices, and diverse talent. Below are some reasons why our delivery processes are unique in the market.

Customizable Delivery Models Tailored to Every Type of Client

In our twenty-two years of solving business problems for our clients, we have developed and refined best practices for serving each type of business. All aspects of our delivery model are tailored to the type of organization we partner with. Our clients benefit from:

  • A full range of services from technology consulting to product design and delivery and managed support
  • A variety of pricing models: value-based, fixed-price, or T&M
  • A variety of operational models: dedicated teams, managed delivery, or team augmentation

Engagements can start immediately

Many software development firms hire new engineers for each project. As a result, the client may have to wait months for the team to be onboarded before the project can start, and if a team member leaves mid-stream, finding a replacement can also take time.

In contrast, DataArt hires people for the long term. When one project is completed, engineers devote themselves to education until they are deployed on the next project. This way, new projects can be staffed quickly from the bench.

Faster delivery — proprietary tools to accelerate time-to-value

Our R&D is focused on streamlining our workflow, accelerating time-to-value, minimizing delivery costs, and maximizing the impact of our clients’ budgets. We have developed a number of project accelerators, including:

  • Our proprietary Atlas framework, which provides core .Net infrastructure “out of the box,” enabling us to create prototypes and demonstrate business value from the very start of the project, saving weeks or months of billable work
  • Our proprietary “API Sandbox” with more than 300 documented APIs, which is available by link
  • Distributed coding methodology
  • A comprehensive resource profiling framework and onboarding system
  • DevOps
  • Automated testing methodologies
  • A mechanism for reserving engineers ahead of the project
  • Comprehensive teams that cover all relevant areas of technical, industry, and subject matter expertise

Fast scaling

With our distributed delivery model, we can draw on our deep bench of talent around the world to scale-up teams extremely fast. And with our well-developed, highly sophisticated systems for human resource allocation and management, teams can be scaled-up (or down) with minimal cost and disruption.

Transparency

Before the contract is signed, our clients have full transparency as to the respective roles of DataArt and the client, the cost of services, required resources, team composition, the timeline of major deliverables, success criteria, the technology stack, and the delivery model.

Once a project starts, the client can monitor the team’s day-by-day progress in Jira and through our detailed timesheets with hourly break-downs of each engineer’s work. The clients can also access our source code and speak with anyone on the team whenever they wish. There is typically daily communication about ongoing operations between our development team and the client’s technical leads.

Team continuity and high productivity from the get-go

People love working at DataArt. According to Glassdoor, 97% of DataArt employees would recommend DataArt as an employer to a friend, and 100% approve of the CEO. With our exceptional 95% retention rate, engineer turnover is extremely low.

High retention rate and deep talent bench mean that our clients can rely on:

  • Team loyalty and continuity.
  • Quality of engineering, as team members have proven themselves in prior DataArt projects.
  • Team productivity as a unit right from the start, as team members share DataArt’s culture, methodology, and best practices, and many are likely to have worked together on other projects.

Clear path for escalation of issues

In complex projects, the question is not whether issues will arise but what happens when they do. If issues arise that a project manager cannot resolve, there is a clear escalation path to the delivery manager, then to the engagement manager, and finally to our executive team. And if something goes wrong, we step forward, accept responsibility, and fix the problem. Our people and teams are empowered to take responsibility.

Proprietary solution design methodology

According to a 2009 IDC report, 25 percent of IT projects fail outright, 20 to 25 percent provide no ROI, and up to 50 percent require material reworking. Some of these failures are attributable to the quality of engineering, but most stem from building the wrong system altogether.

DataArt’s “Solution Design” is a unique, proprietary approach to all aspects of development that ensures we build the right solution for our clients. Solution Design allows us to mitigate various types of risk, bring all stakeholders into alignment, propose multiple solutions, and maximize value while staying within a budget. DataArt’s teams address both business and IT challenges, using best-practice processes and methods to ensure project success.

Project monitoring and governance

We employ numerous quality controls to ensure that the engagement is progressing as planned and in alignment with the client’s goals and expectations.

Our governance structure reflects our commitment to ensuring every client’s success and not merely completing a project. The structure includes executive, senior management, project management, and project-level layers. Represented by EMs, DMs, PMs, and team leads, these layers are engaged in an ongoing dialog to refine our understanding of a client’s business and technology goals and to make adjustments along the way.

Our governance structure reflects our commitment to ensuring every client’s success and not merely completing a project. The structure includes executive, senior management, project management, and project-level layers. Represented by EMs, DMs, PMs, and team leads, these layers are engaged in an ongoing dialog to refine our understanding of a client’s business and technology goals and to make adjustments along the way.

How do I start?

We often hear from clients (like Apple Leisure Group, Zesty) that working with DataArt feels like working with an internal project team. If you find this hard to believe, we invite you to try us out on a small project and experience this feeling for yourself.

For more information please or send an email to sales@dataart.com.

Delivery models

Agile

In Agile delivery model, cross-functional teams work on incremental and frequent iterations of the software. Each iteration is a working product and receives end-user feedback. The work is organized into a backlog that is prioritized based on business or customer value.

Waterfall

Waterfall models entail sequential, linear progress through eight phases - conception, initiation, analysis, design, construction, testing, deployment, and maintenance. Before the team can move to the next stage, requirements may need to be reviewed and approved by the client. The team cannot go back to a previous stage without starting the whole process again from the beginning.

Delivery model customization

We use whichever delivery model, a combination of delivery models, or custom arrangement the client prefers.

Team roles

The engagement manager (EM) is the main point of connection between DataArt’s team and client’s team, ensuring that all agreed-upon deliverables are met on both sides and that the end product achieves the client’s goals.

The delivery manager (DM) is responsible for assembling the execution team, providing the necessary infrastructure, and ensuring the successful delivery of DataArt’s services. The DM assigns and supervises the project managers (PMs) and program managers (PgMs).

The project manager (PM) is responsible for the ground-level execution of all deliverables while not losing sight of the ultimate business purpose of the project. The PM also has primary responsibility for cost and budget tracking, scheduling, quality control, and identifying and mitigating operational risks.

Team lead - a software engineer, responsible for leading a development team and for the quality of its technical deliverables.

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