SUSTENANCE & PERFORMANCE ENG SUSTENANCE & PERFORMANCE ENGIN

Hubble Digital Tech provides end-to-end Project & Product development services that include proof-of-concept, feasibility study, rapid prototyping, complete offshore product development, and deployment. We understand the challenges of rolling out a new product and have adopted a set of best practices that ensure successful new product rollout. Our flexible delivery model allows for agile teams to be deployed at customer locations, or have the team work out of our offshore delivery center.

• Emphasis on understanding customer's business through a team deployment model that facilitates closer interaction during the ideation / conceptualization phase and       usage of tools such as Wikis.
• Tool driven approach for greater productivity across the product development lifecycle.
• Agile development methodology to manage evolving requirements. Test-driven development, continual deliveries, scrum meetings, refactoring are some of the key        practices that are adopted by our project teams.

COMMERCIAL MODELS FOR NEW PRODUCT DEVELOPMENT SERVICES:Time and Material (T&M) This model is suitable for setting up an extended software engineering team that works on new product development on an on-going basis.

Fixed-Bid ModelIn projects that have a well-defined scope of work, the fixed-bid model provides tight control on budgetary spend provided a proper change management process is in place. New product development rarely meets these criteria. However, Hubble Digital Tech has built complete product components using these models.

Hybrid ModelA combination of T&M model (at the start of the project), followed by a fixed-bid model (when scope of work is finalized) provides the best of both of the T&M and Fixed-Bid models. Customers find it easier to take a decision on new product development initiatives when presented with this option.

Build-Operate-Transfer (BOT) Hubble Digital Tech is also open to a BOT model on a case by case basis.  Hubble Digital Tech works with the customer to agree on the transfer pricing model and other commercial terms for a BOT engagement. This model allows the customer to absorb the team, and in some cases the infrastructure as well, after certain duration of the product development engagement.

Revenue Share Model  Hubble Digital Tech can share business risks with the customer by working on a revenue share model.  Hubble Digital Tech takes up such engagements on a select basis after taking into consideration the industry and market potential. The customer pays for a % of costs up-front and shares a % of future new product revenues with Hubble Digital Tech. 

Hubble Digital Tech provides ongoing sustenance for new products, multiple product versions (including legacy versions), and end-of-life support.  Hubble Digital Tech sustenance methodology is illustrated in the figure below.

Our approach to Sustenance is geared to deliver significant tangible benefits to its customers.

• Comprehensive product portfolio assessment for maximizing ROI                 
• Eliminate risk of obsolescence through planned migration and upgrades
• Comprehensive knowledge management services to reduce dependence on silos of product feature expertise
• Well defined path to migrate to a Service Level Agreement (SLA) driven engagement model
• Defect analytics to pin-point sources of potential issues and a proactive approach in plugging the source of defects

PERFORMANCE REENGINEERING 

When products do not meet the desired performance levels, or when there is a need to study the performance capability of a system,  Hubble Digital Tech  has a core set of capabilities to address these needs. Symptoms of poor performance may be in response times of pages, stability of the system where it may become unavailable periodically, or when it is not able to scale with a growing user population. The solution may be in product implementation, in the deployment infrastructure or both.

We offer services to measure product performance using tools, identify bottlenecks in the application, and resource utilization. Once the performance bottlenecks are identified, we go through a corrective phase to improve the code and/or design, or suggest an infrastructure that provides the required performance.