Data Science & Analytics

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Why?

Nearly a decade of experience as a company supporting data capture, data management and data analytics within the health sciences and healthcare industry. We leverage big data technologies (Hadoop) to integrate organizational and industry data sources within health sciences and healthcare to provide advanced analytics such as trending, forecasting and predictive analytics.

We have supported complex analytics needs across the lifecycle of clinical trials, creation of tables, figures, listings, metrics, dashboards for compliance, business performance, clinical trial health. The healthcare analytics team has a deep background in integrating cost, quality, efficiency and clinical data from multiple sources to create insights for providers, payers and patients to act upon.

Our team comprises of domain experts with knowledge of clinical data, data scientists with background in techniques and algorithms for analyzing data and analytics engineers who work with tools and technologies to implement analytics solutions. We also have extensive experience in SAS, Vertica, Oracle BI, Cognos, Crystal, BOXI, JReview, and Spotfire.

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Our Understnding

The consumers of analytics have to depend on programmers/ IT for meeting their analytic needs and it becomes the biggest challenge to the entire 'Analytics world' because the people who understand data are not the one who handle the tools to derive insights.

Emerging technology forces such as Big Data, Data Science and advanced visualization are allowing organizations to ingest, process, visualize information beyond the capabilities of conventional Business Intelligence, also these forces are behind a new level of analytics which in turn create business value and innovation through improved accurate decision, and making.

These decisions affect the way products and services are marketed, sold and provided to end users through both traditional and mobile channels

Our Value

Information Management has never been easy. Making sure information is modeled, trusted, integrated, and governed to meet the needs of business. Our prescriptive approach with rich methodologies underpins all engagements, we work on ETL Platform that has five steps:

  • DATA DEFINITION AND PREPARATION

    Extract a portion of a large data set big enough to contain the significant information yet small enough to manipulate quickly.

  • DATA SUMMARY

    Search speculatively for unanticipated trends and anomalies so as to gain understanding and ideas

  • PREDICTIVE MODEL BUILDING

    Create, select, and transform the variables to focus the model construction.

  • MODEL VALIDATION

    The search automatically for a variable combination that reliably predicts a desired outcome.

  • DEPLOYMENT

    Evaluate the usefulness and reliability of findings from the data mining process.



Why Us?

We take pride in blending next-generation technology with the classical approach of scientific excellence thereby creating a robust and cost-effective product development process and IT transformation. Our resident experts in wide-ranging technology areas identify potential challenges and make specific recommendations to suit individual client needs.

We provides integrated custom solutions unique for its technology-driven user-friendly interface specializing in efficient delivery. Our use of technology and adherence to strict project, product development process, standards and offshore 24x7 support results in reduced costs of product life cycle. The goal at Wincere is simple- to make the solution development process absolutely cost-efficient, crisp, process-driven and thus enjoyable.