Our Services

Project & Program Management
Most important aspect of meeting critical business initiatives require dedication of a Project Manager. A successful project manager is an effective leader who sets clear goals and priorities, empowers others, communicates effectively, helps develop KPIs, meet the milestones, manages conflicts, controls budget and ensures the quality. When multiple projects are involved, this holds true for an entire program. This is one of the most critical roles for business success.
We know that finishing projects on time and on budget is only half the job. On every assignment, we utilize full range of expertise to ensure that objectives are accomplished in ways that maximize business value. Whether that means assisting in project from initiation to closure, managing change or helping recover failing project, we effectively leverage the expert knowledge of the project team on what they do best while leading each initiative to success.
Our PMI certified program and project managers have decades of progressive experience in multiple industries ranging from Smart Grid, Utilities, Electrical Power Design, and Telecommunications. Our consultants and principals possess in-depth experience in managing all phases of projects and the appropriate blend of practical knowledge and people skills to lead initiatives to success.
While managing projects from beginning our project managers will identify the early signs cost and schedule variances. We specialize in distressed project recovery and help with risk identification, define project baseline and variances, develop risk management strategies and bring the project variances back to the defined baseline.
Technical Project Management and System Architecture
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System Deployment, Migration and Integration
For an organization, it is already a big change when a legacy system is migrated to a new and advanced system. While the teams are busy in their day to day responsibilities, it is difficult for them to properly plan the transition and execute it with limited expertise that we bring to the table from working on similar projects prior to joining your team. In summary, system migration on any scale requires:
- Understanding the old and new systems
- A detailed plan to move from old to new system
- Change management planning: Role mapping, training needs, people and organizational change management etc.
- Data migration: Planning, detailed business requirement documentation, data mapping, data dump from the old system, data analysis, data conversion and import to the new system, data and system verification and finally cut-over to the new system. It is also important to have revert back plan, incase cut-over does not go as expected.
CCGroup360 has extensive experience with system integration and has helped our customers succeed in their goals. We master not only in technical aspects of system migration and integration. We also manage the organization and people change to ensure that resources are trained to take over new roles and responsibilities effectively and without any impact to their day to day duties.
Web Services and Data Analytics
Data analytics involves analytical maturity and relation with the business model. As multiple business problems use analytical models for analyzing the problem along with making predictive solutions for the problems. So, to respond to business problems and make data driven decisions out of the data, evolving steps of analytical maturity are to be considered. The first stage is just to evaluate data and make it in such constraints on which later analytical model can be deployed. Followed by descriptive analytics which gives a brief insight of the data. Then comes the diagnostic part of analytics followed by predictive and prescriptive analytics. Based on the business that have a more strategic business value lie more towards prescriptive and predictive part of analytical maturity. Rather than business which has more transactional business value lies more towards data quality and descriptive stage of analytics.
Data cleaning
Data cleansing is simply pre-processing of data before analysis or data validation.
- Identifying and fixing errors (using excel, SQL, R programing)
- Removing incorrect formatting
- Identifying missing data
- Data standardization
- Removing duplications
- Data normalization
Descriptive analysis
Enables data analyst to gather insight and review the data using visualization tools for batter understanding. It also helps in reviewing the cleansed data with the stakeholders and approvers, hence making the process easier.
- Data visualization (using Power BI and tableau)
- Using statistical techniques to identify most significant variables
- Data analysis for decision making
Data validation
During data validation CCGroup360’s analyst ensures that data is consistent with the requirements for the system where it will be imported.
- Data type check
- Range check
- Format check
- Consistency check
- Uniqueness check