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From Data to Insights

Jeff Fuller
2019 North Carolina Medical Journal  
To better impact real-world situations, analysts should hypothesize from practice-based evidence.  ...  of deriving knowledge and insight from a complex data environment.  ...  Acknowledgments Potential conflicts of interest. J.F. has no relevant conflicts of interest.  ... 
doi:10.18043/ncm.80.4.234 fatcat:oqymjhsmnbesveovc2uhwuyuhi

Ava: From Data to Insights Through Conversations

Rogers Jeffrey Leo John, Navneet Potti, Jignesh M. Patel
2017 Conference on Innovative Data Systems Research  
In this paper, we present an initial approach to bridge this gap by targeting the data science component of enterprise workflows.  ...  However, there are large inefficiencies in the enterprise-wide workflow that stem from the fact that business workflows are expressed in natural language but the actual computational workflow has to be  ...  ACKNOWLEDGMENTS This work was supported in part by grants from the National Science Foundation (NSF) under grants IIS-1250886 and IIS-0963993, and by the National Institutes of Health (NIH) under grant  ... 
dblp:conf/cidr/JohnPP17 fatcat:7tkrutmb2ndwxgartc3ncdrk2y

From Single Architectural Design to a Reference ConceptualMeta-Model: An Intelligent Data Lake for New Data Insights

Jabrane Kachaou
2020 International Journal of Emerging Trends in Engineering Research  
Recently, a new concept has appeared in the world of new technologies dealing with Big Data.  ...  This process treats data from heterogeneous data sources and with a combination of Data Warehouse (DW) for better management of structured data.  ...  Our future work consists on determining a new algorithm of big data categorization in the aim of getting data insights by end users and put into practice the proposal architecture.  ... 
doi:10.30534/ijeter/2020/85842020 fatcat:vrvlczu4avfafkasthxvs4cexi

From Ad-Hoc Data Analytics to DataOps

Aiswarya Raj Munappy, David Issa Mattos, Jan Bosch, Helena Holmström Olsson, Anas Dakkak
2020 Proceedings of the International Conference on Software and System Processes  
DataOps, a recently coined term by data scientists, data analysts and data engineers refer to a general process aimed to shorten the end-to-end data analytic life-cycle time by introducing automation in  ...  The collection of high-quality data provides a key competitive advantage to companies in their decision-making process.  ...  ACKNOWLEDGMENTS This work is in part supported by Vinnova, by the Wallenberg Artificial Intelligence, Autonomous Systems and Software Program (WASP) funded by the Knut and Alice Wallenberg Foundation and  ... 
doi:10.1145/3379177.3388909 dblp:conf/ispw/MunappyMBOD20 fatcat:kkpuhwyqcvai7iwvfwgid4kqmm

From Big Data to Precision Medicine

Tim Hulsen, Saumya S. Jamuar, Alan R. Moody, Jason H. Karnes, Orsolya Varga, Stine Hedensted, Roberto Spreafico, David A. Hafler, Eoin F. McKinney
2019 Frontiers in Medicine  
Exploiting new tools to extract meaning from large volume information has the potential to drive real change in clinical practice, from personalized therapy and intelligent drug design to population screening  ...  For over a decade the term "Big data" has been used to describe the rapid increase in volume, variety and velocity of information available, not just in medical research but in almost every aspect of our  ...  The best-arguably the only-way to improve confidence in the findings from Big data is to work to facilitate transparent validation of findings.  ... 
doi:10.3389/fmed.2019.00034 pmid:30881956 pmcid:PMC6405506 fatcat:3sd2aygow5asjgyuytlxh4r4xq

From Big Data to Meaningful Information with SAS High-Performance Analytics

Silvia BOLOHAN, Sebastian CIOBANU
2013 Database Systems Journal  
But, what is the point of collecting and storing terabytes of data if you can't analyze it in full context, or if you have to wait hours or days to get results?  ...  On the other hand, not all business questions are better answered by bigger data. How can you make the most of all that data, now and in the future? It is a twofold proposition.  ...  From Hindsight to Insight to Foresight "Raw data has the potential to do a lot of things, ranging from static reporting about what happened in the past to predictive insight about what will happen in the  ... 
doaj:d95d53d01f1e41cd8ed4f72b57161ef1 fatcat:l5gtjhupezeena37e2gtj3vppi

Community insights

Tara Matthews, Steve Whittaker, Hernan Badenes, Barton A. Smith, Michael Muller, Kate Ehrlich, Michelle X. Zhou, Tessa Lau
2013 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems - CHI '13  
Online communities are increasingly being deployed in enterprises to increase productivity and share expertise.  ...  We present the evidence-based design and evaluation of a novel tool for community leaders, Community Insights (CI).  ...  Identifying the most useful subset of metrics in the enterprise represents a contribution of this work.  ... 
doi:10.1145/2470654.2470728 dblp:conf/chi/MatthewsWBSMEZL13 fatcat:ggi3vub4lfe3tci33yt6gefnc4

Data Science as an Innovation Challenge: From Big Data to Value Proposition

Victoria Kayser, Bastian Nehrke, Damir Zubovic
2018 Technology Innovation Management Review  
Acknowledgements This article was developed from a paper presented at the ISPIM Innovation Conference in Vienna, Austria, June 18-21, 2017.  ...  ISPIM (ispim-innovation.com) -the International Society for Professional Innovation Management -is a network of researchers, industrialists, consultants, and public bodies who share an interest in innovation  ...  The insights presented in this article are built on our practical experiences in working with various clients.  ... 
doi:10.22215/timreview/1143 fatcat:6bhajqwm6naddeujmjtap6ym64

Data Analytics using Ontologies of Management Theories: Towards Implementing 'From Theory to Practice' [article]

Henry M. Kim, Jackie Ho Nam Cheung, Marek Laskowski, Iryna Gel
2016 arXiv   pre-print
Though quite preliminary, the idea that an information technology, namely ontologies, can potentially actualize the academic cliche, "From Theory to Practice," and be applicable to the burgeoning domain  ...  We explore how computational ontologies can be impactful vis-a-vis the developing discipline of "data science."  ...  Nevertheless, the idea that an information technology, namely ontologies, can potentially actualize the academic cliché, "From Theory to Practice," and be applicable to the burgeoning domain of data analytics  ... 
arXiv:1608.07846v1 fatcat:bsn2ogqk5jd35k5dcr4rrq6xw4

From Dirty Data to Tidy Facts: Clustering Practices in Plant Phenomics and Business Cycle Analysis [chapter]

Marcel Boumans, Sabina Leonelli
2020 Data Journeys in the Sciences  
At the same time, the comparison points to differences and similarities between data cleaning practices, which are grounded in the characteristics of the objects of interests as well as the conceptual  ...  These cases illustrate the epistemic significance of preparing data for use as evidence in both the social and natural sciences.  ...  In the first section, we examine the work required to create meaningful clusters from these forms of big data, and the extent to which data cleaning transforms datasets.  ... 
doi:10.1007/978-3-030-37177-7_5 fatcat:sekapm2v5rdahb75w45nbklq44

From Jam Session to Recital: Synchronous Communication and Collaboration Around Data in Organizations [article]

Matthew Brehmer, Robert Kosara
2021 arXiv   pre-print
In contrast to prior work, we did not limit our interviews to those who self-identify as data analysts or data scientists.  ...  One study was a retrospective examination of current practices and difficulties, from which we identified three scenarios involving presentations of data.  ...  ACKNOWLEDGMENTS We thank Andy Cotgreave, Shay Koenig, Michelle Kosterich, and Melanie Tory for assisting with the interviews as well as Dan Cory, Britta Fiore-Gartland, and Maureen Stone for their feedback  ... 
arXiv:2107.09042v1 fatcat:wx27d3x5kzdoti2ascujsowxnu

Using Enterprise Architecture to Attain Full Benefits from Corporate Big Data while Refurbishing Legacy Work Systems

Thomas Köhler, Steven Alter
2016 Conference on Business Informatics  
In early 2011 DHL Express, a division of the Deutsche Post DHL Group, concluded that the core infrastructure of its European Country Data Warehouse system (CDW) was approaching a crisis.  ...  This paper provides background about DHL and the type of operational data that would have to be migrated to a new infrastructure.  ...  The new Enterprise Architecture also helped with some of the rare cases of resistance that occurred when country users initially believed that aspects of the architecture would not support work practices  ... 
dblp:conf/wecwis/KoehlerA16 fatcat:ik7z7jkoajcfvkryo2zyp5jxtq

From a Monolithic PLM Landscape to a Federated Domain and Data Mesh

Y. Hooshmand, J. Resch, P. Wischnewski, P. Patil
2022 Proceedings of the Design Society  
This enhances semantic interoperability and enables data-driven use cases by treating data as first-class citizens. User-centric PLM domains moreover help to increase productivity in the workplace.  ...  AbstractProduct Lifecycle Management (PLM) is one of the most business-critical IT backbones of manufacturing companies.  ...  These are especially needed for data scientists and data analysts to facilitate the transition to a data-and knowledge-driven enterprise.  ... 
doi:10.1017/pds.2022.73 fatcat:rakvezlybvefraqb4yulrffgfa

Towards 'Trade Policy Analysis 2.0': From National Comparative Advantage to Firm-Level Trade Data

Lucian Cernat
2015 Social Science Research Network  
An upgraded "Trade Policy Analysis 2.0" could contribute to several trade policy priorities and to a better understanding of the benefits from international trade for firm competitiveness, job creation  ...  Abstract This paper makes the case for the need to "upgrade" current analytical tools used for trade policy analysis and complement them with more detailed firm-level data.  ...  Ex-ante analyses may benefit from more specific data offering additional insights to current analytical tools.  ... 
doi:10.2139/ssrn.2568543 fatcat:4gdrfke57fcl5lvnqonnqmv6iy

Deriving Analytic Insights During a Novel Pandemic

Michael E. DeWitt, Christopher Scheib, Morgan Jones, Pamela Cowin
2021 North Carolina Medical Journal  
Although these systems serve a diverse set of communities throughout the state, each analytics department shared similar arcs through the pandemic.  ...  Duke helped gather health systems in the region to co-plan, bringing perspectives from the best analysts and data scientists to serve the North Carolina patient population and communities collectively.  ...  Attempts to manage through the pandemic demonstrated that insights derived from data and subject matter experts need to be democratized and shared broadly.  ... 
doi:10.18043/ncm.82.4.284 pmid:34230185 fatcat:x3cuc7ksjnbrtaba3sybrfzcgm
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