DataMight project modeling adopts the 5 Project Management Practices certified by the Project Management – Initiation, Planning, Execution, Monitoring & Control and Successful Delivery & Deployment.
"The application of knowledge, skills, tools, and techniques to project activities to meet the project requirements."
- Project Management Institute (PMI.org)
Datalytic Project initiation is done with defining the requirements specific to analysis in to detailed expections on the outcome of the assignment and business value added. The tangibility deliverable driven analytics would become the basis for deciding the analytical direction of the engine to be adopted for successful and settled mining of the data sets.
Planning a datalytic projects starts with understanding the Business case for bid data analytics along with the priorities of the client and the growth direction intended. Accordingly being able to identifying respective data sources, data volume and defining the criteria. Thus; structuring a project plan, project charter and/or project scope in writing, outlining the work to be performed.
Expert on the Job! Creating repeatable model architecture for governing the specified datalytic requirement of the client in the focus area that inspires individual, team and client as well. Choosing the best methodology, evaluating the caveats and risks pertaining to specific and unique considerations for sustainable growth that protects client's interests.
Data and control flows from the source data sets subjected to respective calls made, would thoroughly be evaluated to satisfy the desired and defined exit criteria. Data flows subjected to controlled and monitored extractions there by ratifies the uncompromised unparalleled throughput from the system.
Continuous support for datalytics project implementation - ensuring Information Lifecycle Management along with high availability of Data Centralization and Decentralization. The desired data modeling transformation cycle is uninterrupted with expert configuration manager in place to continue and sustain the legacy as well as most advanced systems set up for any given environments.