Data Assessment

Identifying and resolving data challenges for enhanced insights and improved processes

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Readiness Assessment

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.

Infrastructure Planning

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.

Risk Assessment

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

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Business Impact With Emtec Digital

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.

Uncover insights and gap analysis around current data sources, systems, applications, decision-making processes

Generate insightful inferences from historical data

Improve visibility over existing operations- budgets, targets, performances etc.

Provide the opportunity to envision long-term goals for business and technology

Prepare internal teams for enhanced and modern technologies, communication and data-driven practices

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