Big Data Management

Top 6 use cases for a self-sustainable Contact Center powered by Connected Data

August 10, 2022

Top 6 use cases for a self-sustainable Contact Center
Connected Data, though used synonymously with Big Data, is carefully created and curated for storage and reference during the customer’s lifetime. As we already know, enterprises need to carefully build and store Big Data to avoid creating a data swamp. Connected Data goes a step ahead of Big Data. It is customer-specific data built in a context-sensitive framework to ensure a 360-degree view of the customer profile, purchasing habits, preferences, etc., at a glance.

Spotlight

Applied Informatics Inc

Applied Informatics is an NYC-based Health IT, Big Data and Semantic technology company. We do things most healthcare software companies can't, a one stop shop for designing, developing and delivering worldclass software solutions. Consider us the Navy Seals of the healthcare informatics world. All solutions are engineered with advanced informatics expertise and purposeful design. Our services include custom health information solutions, mobile research & health apps, data science & PopHealth analytics, wearables & IoT integrations, and more. We work with healthy systems & providers, life sciences, consumer health & wellness, and health insurance payors. Tools employed include Web (Django/Python, RoR, React.js, REST APIs, Cloud Voice/SMS), Mobile (iOS, Android, Apple ResearchKit/CareKit), Big Data (Spark, Hadoop, R, MongoDB, ETL, NLP, Machine Learning), and IoT (Wearables, Devices APIs).

OTHER WHITEPAPERS
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The A-Z of Master Data Management

whitePaper | January 11, 2023

The world of master data management (MDM) is a complicated place to navigate and its native speakers use a language sometimes only they themselves understand. It is packed with complex descriptions, esoteric lingo and acronyms.

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O'Reilly Data Quality Fundamentals

whitePaper | November 18, 2022

For decades, the lack of visibility into the health of our data has led to data downtime in companies around the world. When data is missing, inaccurate, or erroneous, data quality initiatives are doomed to fail, leaving enterprises at a privacy compliance and business disadvantage.

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Top 5 Data Ops Tools to Use in 2022

whitePaper | October 13, 2022

Generally, data-driven companies mainly struggle with data quality issues. Massive amounts of data, changing data storage requirements due to changing company regulations, and the various types of data sources and formats do make data management quite difficult for companies. Hence, the need for robust DataOps took to automate and simplify data life-cycle phases is of utmost importance at this point. Here are, some of the most important DataOps took that professionals can use in 2022.

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Prescriptive Security for Financial Services

whitePaper | November 15, 2019

The potential of artificial intelligence to transform business performance is only now starting to be more widely understood in Financial Services. This is nowhere clearer than in the security domain, where the fusion of big data, advanced analytics and machine learning holds out the promise of startling improvements in cyber defenses through the introduction of Prescriptive Security.

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2022 EDUCAUSE Horizon Report® Data and Analytics Edition

whitePaper | September 16, 2022

With the 2022 data and analytics edition, we further expand our series of Horizon Reports to focus on an emerging area of practice that is driving institutional decision-making and strategic planning for the future—the trends, technologies, and practices that are shaping the world of postsecondary data and analytics. Based on a methodology that grounds the findings in the perspectives and expertise of a panel of leaders in higher education data and analytics, in this report we summarize the panel’s input on the major trends shaping higher education, including panelists’ reflections on the implications of this research for the future of higher education for particular institutional roles.

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7 Trends for Data Science in 2021

whitePaper | May 5, 2021

Over the last decade, interest in the field of data science has not only increased enormously, but has also changed and developed considerably. In view of the new technological advances and the constant growth of data, we expect Data Science to continue to develop strongly in 2021. We have identified 7 trends that will be relevant for the coming year.

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Spotlight

Applied Informatics Inc

Applied Informatics is an NYC-based Health IT, Big Data and Semantic technology company. We do things most healthcare software companies can't, a one stop shop for designing, developing and delivering worldclass software solutions. Consider us the Navy Seals of the healthcare informatics world. All solutions are engineered with advanced informatics expertise and purposeful design. Our services include custom health information solutions, mobile research & health apps, data science & PopHealth analytics, wearables & IoT integrations, and more. We work with healthy systems & providers, life sciences, consumer health & wellness, and health insurance payors. Tools employed include Web (Django/Python, RoR, React.js, REST APIs, Cloud Voice/SMS), Mobile (iOS, Android, Apple ResearchKit/CareKit), Big Data (Spark, Hadoop, R, MongoDB, ETL, NLP, Machine Learning), and IoT (Wearables, Devices APIs).

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