At the core of Big Data Analytics is Data Science. Data science is deep knowledge discovery through data inference and exploration. The ability to easily turn data into information is key to successful implementation.

Our mission is to help transform data, identify relationships between variables, and quickly develop predictive models.

ezURs specializes in creating innovative data-driven decision-support tools to optimize clinical and business decisions, through application of statistical and mathematical modeling. Provide your organization the power of on-demand analysis and reporting.

predictive analytics for improving patient care and more

Data Collection

Data Collection
We collect and receive raw data from all your sources. Acquisition of
data, ingestion, sampling, quantization, cleaning and transformation
done during this phase. Its nothing but provisioning and preparing data
for Analytics. Striking a balance between self service and centralized
data management.

Data Analysis

Data Analysis
Data analysis solutions are designed to decipher and organize data so that it is easily understood and provides information crucial to the operation of your organization. We develop business analytics to enable organizations to track program status and make timely operational and strategic decisions.

Visualization

Visualization
Visualization enables data storytelling. This hot trend fuses visualization, data analysis, and usually verbal or written discussion, often in an infographic, to provide interpretation of data science results and why they are significant. Encourage storytelling and provide training.

Reporting

Reporting
From quickly producing actionable intelligence to driving productivity to gaining real time visibility into customers and markets, big data analysis and big data reporting promise to deliver a wealth of benefits for competitive advantage. These are not simple, static reports, but are data-driven, complex, and dynamic, reflecting the brand voice most appropriate for the firm. The reporting incorporates disparate data sources and performs real-time analysis on portfolio performance. These systems examine the facts, determine which of these facts are most notable, and output these facts as readable narrative text.

Decision Optimization

Decision Optimization
Decision optimization is about making the best decision after carefully evaluating possible options against some measure of business objectives. The optimizing technique for discrete decision variables is done using exhaustive search, greedy/heuristic search, integer programming technique, while optimization for continuous decision variables is done using linear/quadratic programming.
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