Every growing organization needs a scalable data science platform to accelerate its business value and develop solutions that can leverage modern technologies like ML, AI, and more. However, it's not easy to hire knowledgeable data scientists with specialized skills and experience in AI, Big Data, and Data science. Outsourcing AI and Data Science solutions to experts at Flatworld can help you overcome this issue. You get access to global talent pool skilled at helping business leaders like you select appropriate technology to scale up rapidly.
If you are curious to know how data science outsourcing at FWS works, the ease of process, our engagement models, and the paperwork involved, you are at the right place. Build for data scientists by data scientists, our solutions are the right fit for your business, and the ease and transparency of engagement process makes the whole outsourcing experience worth a try.
Our Customer Engagement Models
Our team of data scientists at Flatworld Solutions follows streamlined and systematic customer engagement models when it comes to data science outsourcing. We are also moving forward to improve the customer experience which would help us to strengthen the customer's loyalty towards our brand. We value the relationship with our clients and not just the services we provide to them. Some of the key customer engagement models we leverage include -
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Outsourced Development
We, at Flatworld Solutions, take complete responsibility for your data science and AI solution development requirements. We have some of the most experienced and skilled data scientists who have the required expertise in the AI, Big Data, and data science domains, and can work on any bespoke requirement.
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Staff Augmentation
Hiring the right set of experienced and skilled data scientists can be one of the most cumbersome and time-consuming tasks for your organization. Flatworld Solutions can help you with the right set of data science talent customized to your needs within a short time.
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Knowledge Partnership
Our team of data scientists at FWS can help you with several data science tasks including developing road maps, as-is data analysis, team empowerment, best practices establishment, hand-holding development, metrics, and AI-driven business success.
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Co-creation
One of the key methods of developing a great data science solution is by building a strong internal team that follows the industry best practices. We have the required skills and bandwidth to work onsite with the client's team and empower them with the industry's best practices.
Customer Engagement Process We Follow
Being one of the leading data science solutions providers, we believe in providing clients with the best possible services within a quick time. This is made possible by following a systematic and streamlined customer engagement process. The key steps involved in our customer engagement process are listed here -
01. Capture Requirements
In the first step, we understand the client's requirements, identify the problems, the company's goals, stakeholders, and the business value along with other details such as the actual situation, desired situation, finances, etc.
02. Requirement Analysis
Once we have all the requirements, we sign the NDA, create an end-user and business requirements list, list out the end-user's expectations, check for the data access and availability, and conduct the required interviews to understand the information.
03. Estimation of Effort
Once the requirements are analyzed, we will estimate the effort that will be needed for the project. We will categorize the resource requirements such as technical, transactional, operational, financial, and also create mock-ups of the solution.
04. Model of Engagement
In this step, we decide the model of engagement for the project. The model can be outsourcing projects, project co-creation, project co-creation and training, customized onsite trainees, or resource and staff augmentation.
05. Project Sign Off
Once the model of engagement is finalized, we sign off the project. This involves proposal elaboration, validation of the proposal by the client, proposal adjustment, proposal submission, and any kind of payment commitment is executed.
06. Data Analysis
In this step, we will analyze the customer's data. We ensure that the data is accessible, it is sufficient and accurate. We also provide the clients with a descriptive analysis of the data. If the data is insufficient to build a model, we also return the commitment fee to the client.
07. Project Implementation
We will assign a single point of contact for every client who will address all the issues faced by the customer. We will implement the project as per the client's requirements and monitor the success by co-working with the client until the objective is accomplished.
Choose Flatworld Solutions for High-quality Data Science Services
Flatworld Solutions has been a pioneer in providing quality data science services to clients around the globe. We have some of the most skilled and experienced data scientists who can understand your requirements with ease and deliver customized services every single time. We leverage the power of the latest data science tools and software while delivering top-notch services to the client.
If you are looking for a reliable and efficient service provider of data science solutions, then your search ends here. Get in touch with our team today!
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USA
Flatworld Solutions
116 Village Blvd, Suite 200, Princeton, NJ 08540
PHILIPPINES
Aeon Towers, J.P. Laurel Avenue, Bajada, Davao 8000
KSS Building, Buhangin Road Cor Olive Street, Davao City 8000