Technology & Software
North America
Global Capability Center (GCC) Framework
Talent Shortage:
The company faced a severe shortage of qualified IT and data engineering professionals within the local market, resulting in significant project delays and gradual increases in operational costs.
High Recruitment Costs:
The fresh recruitment and onboarding process was lengthy, expensive, and resource-intensive, cramping the company’s ability to scale operations effectively.
Operational Lags:
Managing remote teams across various time zones was a hurdle, impacting the overall productivity of the newly set GCC.
Knowledge Transfer(KT) within the stakeholders:
High employee turnover rates resulted in a critical loss of institutional knowledge, hindering the company’s ability to maintain operational efficiency and sustain long-term growth.
Scalability as an Issue:
With variable workloads and diverse projects on their plate, the client required a scalable yet flexible staffing solution that could quickly adapt to fluctuating demands.
To address these challenges, we implemented a staff augmentation model as an extension of their GCC, providing skilled IT professionals to work seamlessly with their in-house teams.
Flexibility and Scalability: We established a flexible engagement model, as an extended part of the ongoing GCC project, that allowed the client to quickly scale their workforce up or down to match project demands.
Collaboration and Communication: Our staff augmentation team led a seamless collaboration between the client’s in-house team and our augmented workforce through regular communication channels and project management tools.
Knowledge Transfer and Retention: With dedicated project managers for each staff at the time of crisis or confusion, facilitated effective knowledge transfer between the client’s team and the augmented staff, ensuring continuity and minimizing disruptions due to employee turnover.
Our optimized staffing model saved approx. $20000, in overall IT operational costs, allowing the client to reinvest savings into strategic initiatives.
Smooth collaboration and communication among team members led to a 39% increase in project velocity, resulting in faster time-to-market for new products and services.
The focus on knowledge transfer and employee development for both augmented staff and their internal employees, contributed to a 15% reduction in staff turnover, ensuring a stable and experienced workforce.
Submit your details & our experts will reply you with a quote very soon.
Your information is kept secure and confidential. We respect your privacy and will not share your data with third parties without your consent.
Download PDF
DataToBiz is a good choice for someone who wants a partner who understands the product journey, requirements, and delivery expectations. They have the experience and agility to understand what’s possible and deliver to the client’s expectations. They‘re really passionate people, and they know what they’re doing!
We’re impressed with DataToBiz’s professionalism, dedicated support, and consistent follow-ups. Their team maintains clear communication through online meetings, ensuring a smooth and reliable collaboration.
A solution like this is a good fit if your teams spend more time collecting and reconciling data than acting on it, if reports from different departments do not match, or if decisions depend on delayed or manual reporting. It also fits when your data is growing in volume or sources, and your current setup struggles to keep up.
DataToBiz starts with a discovery call to review your goals, data sources, and reporting gaps. You get a clear view of the expected outcomes, effort, and timeline before any commitment.
Yes. Every solution DataToBiz delivers is configured around your industry, business processes, and existing data environment. The team assesses your current systems, data quality, and reporting needs first, then designs a solution that works with what you already have instead of replacing it. This applies across industries such as manufacturing, retail, healthcare, finance, and logistics, and across setups ranging from legacy databases to cloud data platforms.
DataToBiz works across the major analytics, cloud, and data engineering stacks. For BI and visualization, this includes Power BI, Tableau, and Looker. For cloud platforms, it includes Microsoft Azure, AWS, and Google Cloud. For data warehousing and processing, it includes Snowflake, Databricks, and SQL-based databases. Data sources include ERP and CRM systems, spreadsheets, APIs, IoT and sensor data, and third-party applications.
If your stack includes a tool not listed here, the team can assess compatibility during discovery.
Most projects with DataToBiz take from a few weeks to a few months. The timeline depends on how ready your data infrastructure is for the initiative and how many systems need to connect. Smaller solutions go live quickly, while larger programs roll out in phases so you see value early. After an initial discovery call, you receive a timeline with clear milestones.
Security and governance is part of the plan from the first conversation. DataToBiz works within your security policies and follows the regulations that apply to your industry. The project usually Access stays limited to the people who need it, and confidentiality terms cover the engagement from kickoff to handover.
The work does not stop at go-live. Your team gets a proper handover and guidance on using the solution, and DataToBiz stays available for questions and improvements. The business impact of the project is measured against the goals set at the start, so you can see exactly what changed for your company.
