Dive Into the New Age of Accelerated Analytics

Our Services

Cloud Analytics Modernization

Cloud analytics modernization is the process of moving analytics and data management processes to the cloud in order to take advantage of the benefits of cloud computing. This can include using cloud-based data storage, cloud-based analytics tools, and other cloud-based data management and analysis services.

Some of the benefits of cloud analytics modernization include:

Cost savings: Moving to the cloud can reduce the need for expensive hardware and IT infrastructure, resulting in cost savings.
Scalability: Cloud-based analytics solutions can scale up or down as needed, making it easier to handle large amounts of data or fluctuating workloads.
Data security: Cloud-based solutions often offer advanced security measures to protect data from unauthorized access or breaches.
Collaboration: Cloud-based analytics tools can be accessed from anywhere with an internet connection, making it easier for team members to collaborate on projects.
Time savings: Cloud-based analytics tools can be up and running quickly, without the need for lengthy installations or setup processes.

QTS cloud analytics modernization can help your organization leverage the power of the cloud to improve its data management and analysis processes, leading to better decision-making and more efficient operations.

Data Science Acceleration

Data science acceleration is the process of using various techniques and technologies to speed up the data science process. This can include using faster hardware and software, implementing data pipelines and automation, and utilizing cloud-based data management and analysis tools.

Some of the benefits of data science acceleration include:

Increased efficiency: By speeding up the data science process, organizations can complete projects and analyze data more quickly, leading to faster decision-making and improved operations.
Cost savings: Data science acceleration can help reduce the time and resources required to complete data science projects, resulting in cost savings.
Improved accuracy: By reducing the time it takes to complete data science projects, organizations can more quickly identify and address issues that may impact the accuracy of their analysis.
Greater scalability: Data science acceleration can help organizations handle large volumes of data and complex analyses more efficiently, enabling them to scale their data science efforts as needed.

QTS data science acceleration solutions can help your organization leverage the power of data science to drive better decision-making and improve its operations.

Application Modernization

Re-platforming: Migrating the application to a new platform, such as moving a legacy application from on-premises servers to the cloud.
Re-architecting: Modifying the application's underlying architecture to make it more scalable, flexible, or efficient.
Re-hosting: Moving the application from one hosting environment to another, such as from a private cloud to a public cloud.
Refactoring: Modifying the application's code to improve its structure, readability, or maintainability.

QTS application modernization solutions can help your organization ensure that its applications remain relevant and effective in meeting the needs of its users.

Full Customer Experience Service

Customer experience solutions are tools, technologies, or services that are designed to help organizations improve the customer experience. These solutions can be used to gather customer feedback, understand customer needs and preferences, and design and deliver better customer experiences.

Examples of customer experience solutions include:

Customer relationship management (CRM) software: A tool that helps organizations manage and analyze customer interactions and data throughout the customer journey.
Customer feedback tools: Tools that allow customers to provide feedback, such as through surveys, reviews, or social media monitoring.
Customer analytics tools: Tools that help organizations analyze customer data to understand their needs, preferences, and behaviours.
Customer service chatbots: AI-powered chatbots that can assist customers with questions, issues, or problems in real time.
Customer service platforms: Platforms that provide a range of customer service tools, such as phone support, email support, and live chat support.

QTS customer experience solutions can help your organizations understand and meet the needs of your customers, leading to increased satisfaction, loyalty, and advocacy.

We Integrate With Your Ecosystem

API-based integration: This involves using application programming interfaces (APIs) to allow different applications to communicate and exchange data with each other.
Integration platforms: Integration platforms, also known as integration middleware, provide a centralized platform for connecting and integrating different applications. These platforms can handle data transformation, routing, and other integration tasks, and often provide a range of integration tools and features.
Data integration: This approach involves integrating applications by moving data between them. This can be done using tools such as data replication, data warehousing, or data lakes, which allow organizations to store and analyze data from multiple sources.
Custom integration: In some cases, organizations may need to build custom integration solutions to connect specific applications or systems. This can involve custom coding or the use of specialized integration tools.

The best approach to application integration will depend on the specific needs and goals of the organization, as well as the complexity and scale of the integration project.