A readiness assessment provides an organization’s data maturity analysis. Every stakeholder involved in the project is interviewed to understand their business goals. To provide the best technology recommendation, we review existing technology investments, processes, systems and applications to fully understand the existing environment – data sources, storage, how it is cleansed, prepared and made ready for data modeling and visualization.
Data infrastructure lays the foundation for Data Science, Business Intelligence, Machine Learning and Artificial Intelligence. This makes infrastructure one of the most crucial parts of data assessment. With clean data and a robust architecture, you can build an analytical engine, which provides you with intelligent insights to support operational efficiency.
Data and Platform Architecture
An architecture is the backbone of new process areas and extension points. The assessment report details existing gaps and maps new scenarios between the current-state and to-be architectures. Multiple aspects of the new architecture are evaluated including benefits, ease of use, time taken for adoption and impact on business.
With every new technology implementation there is a risk of inability to adapt. If not given proper due diligence during the planning process, the possibility of solution failure increases. With a risk assessment, we identify data and its model and type, and map it to specific process areas. We evaluate both time and solution elements to prioritize them. This helps define an exit criterion and achieve business goals faster.
This is How We Create Success Stories
Data assessments help several functional teams understand data structure, representation and standardization. When our Data Assessment Experts review organizational data systems and processes, they map the process and gaps in how data is communicated, made consistent and managed in the organization. A thorough review helps translate data into actionable insights.
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