The Top Three Product Lifecycle Management Trends Taking Shape Across the Digital Economy

February 14, 2019

As with everything across the business landscape, products are quickly being transformed by new digital technologies and thinking. In fact, product development is being reevaluated by businesses of all kinds to explore which elements of the process are being digitally impacted. A survey of 1,200 C-suite decision-makers by Fujitsu1 revealed that 52% of respondents believe their business will not exist in its current form in the next five years, and 98% agree that digital has disrupted their organization. Furthermore, innovating more quickly and partnering with technology experts were considered necessities by 77% and 67% of respondents, respectively.

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Data In Science Technologies

Data in Science Technologies (DST) makes sense of the world’s data for analytics and modeling in government, healthcare and research organizations. We provide services and design solutions that empower informed decision-making, delivering a positive impact to your mission’s success. Through our custom solutions, we help solve common data management struggles in High Performance Computing (HPC) and Big Data. With chain-of custody and search across multiple data sources, our solutions lead to better analytics, efficiency and protection against data loss or misplacement.

OTHER WHITEPAPERS
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Forecasting the future of genomic data management

whitePaper | May 15, 2023

Genomics is the study of the complete set of DNA in a person or other organism. DNA underpins a large proportion of an individual's health and disease status, therefore a genomic medicine approach is increasingly being applied in clinical settings. Genomic medicine is where the study of clinical outcomes (measurable changes in health and well-being) is combined with genomics so researchers can better understand how a person’s genome contributes to disease. Increasingly, advances in our understanding of the genome are contributing to improvements in disease diagnosis, drug discovery and targeted therapeutics.

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Understanding The Right Fit for Your Organization: Data Fabric or Data Mesh?

whitePaper | December 22, 2022

The key objective of setting up data mesh or data fabric architecture is to enable the availability of quality data in a timely fashion to the right people in the right format. A data fabric is an architecture framework and a set of data services that provide frictionless data capabilities across a choice of endpoint applications or services spanning hybrid or multi-cloud and on-premises, by using rich metadata foundation and artificial intelligence/machine learning (AI/ML) automation.

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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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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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Enhancing Data Empowerment in Financial Services with Modern Cloud Analytics

whitePaper | November 30, 2022

Modern cloud analytics can help financial services organisations to gain greater insight into their ever-increasing volumes of data, enabling them to improve customer experience, boost productivity and generate new revenue streams.

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Data Encryption Technologies for data protection on the Now Platform

whitePaper | December 29, 2022

At ServiceNow, protecting customer data is a top priority. Different customers have different use cases, so we provide a range of encryption options for maximum security and flexibility. This document provides an overview of these options and is broken into three sections:

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Spotlight

Data In Science Technologies

Data in Science Technologies (DST) makes sense of the world’s data for analytics and modeling in government, healthcare and research organizations. We provide services and design solutions that empower informed decision-making, delivering a positive impact to your mission’s success. Through our custom solutions, we help solve common data management struggles in High Performance Computing (HPC) and Big Data. With chain-of custody and search across multiple data sources, our solutions lead to better analytics, efficiency and protection against data loss or misplacement.

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