DOCSLIB.ORG

Moving from Data to Wisdom

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Moving from Data to Wisdom Copyright © 2016 Splunk Inc. Moving From Data To Wisdom Mark Runals Lead Security Engineer, The Ohio State University Disclaimer During the course of this presentaon, we may make forward looking statements regarding future events or the expected performance of the company. We cauJon you that such statements reflect our current expectaons and esJmates based on factors currently known to us and that actual events or results could differ materially. For important factors that may cause actual results to differ from those contained in our forward-looking statements, please review our filings with the SEC. The forward- looking statements made in the this presentaon are being made as of the Jme and date of its live presentaon. If reviewed aer its live presentaon, this presentaon may not contain current or accurate informaon. We do not assume any obligaon to update any forward looking statements we may make. In addiJon, any informaon about our roadmap outlines our general product direcJon and is subject to change at any Jme without noJce. It is for informaonal purposes only and shall not, be incorporated into any contract or other commitment. Splunk undertakes no obligaon either to develop the features or funcJonality described or to include any such feature or funcJonality in a future release. 2 Mark Runals 4 yr Splunk User ArcSight admin for 3 yrs Worked in InfoSec for 10+ yrs 2015 SplunkTrust Member Ø Geng data into Splunk isn’t the end game! 3 Outcomes Paradigm to rethink data/analysis Common framework for Admins & ‘Management’ Deeper appreciaon for what Splunk is 4 DIKW Pyramid Wisdom Applicaon / Applied knowledge Knowledge What the data means Informaon What the data is Data bits & bytes 5 Typical business Management Wisdom Conceptual Views Wisdom Lines of Business Service Health Knowledge Knowledge Data Analysis Gap Informaon Proxy System Admins System Centric Views N++ Data Component Health ….. Discreet SMEs Vuln Scan 6 Typical business Management Wisdom Conceptual Views Wisdom Lines of Business MicrosoR Service Health Excel Knowledge Knowledge Informaon Proxy System Admins System Centric Views N++ Data Component Health ….. Discreet SMEs Vuln Scan 7 What Splunk brings business insight from Wisdom operaonally enriched data Knowledge • Enrich data with business context • Powerful analyJc plaorm • Correlate data across silos Informaon • Dynamic query Proxy Data ….. N++ Vuln Scan 8 Splunk Maturity Model Real-Jme Business Proacve Operaonal Insight Visibility ProacJve Monitoring Search and AlerJng and Similari'es to DIKW…. InvesJgate Reac%ve 9 OSU Mobile App - Data 10 OSU Mobile App - Informaon 11 OSU Mobile App - Knowledge 12 OSU Mobile App - Wisdom 13 Other Thoughts • Leverage the Splunk Common Informaon Model (CIM) Common ‘language’ across data types W • Use Knowledge Objects to bridge systems to services lookups, tags, evennypes K • Make alerts more acJonable – not just What happened I Incorporate recipient’s ‘next’ quesJon (ie where, who) D 14 Final Thoughts • Understand the difference between Measurements and Metrics Metric = combinaon of 2 or more measurements W • Administer Splunk with end state in mind • What are your use cases? K • What pain points are you trying to address? I • Help bridge the Informaon and Knowledge analyJc gap Ø Key step in leveraging Splunk toward ‘Wisdom’ ends D 15 THANK YOU .
Load more

Recommended publications
  • Models, Metaphors and Symbols for Information and Knowledge Systems
    79 Models, Metaphors and Symbols for Information and Knowledge Systems David Williams Abstract A literature search indicates that Data, Information and Knowledge continue to be placed into a hierarchical construct where it is considered that information is more valuable than data and that information can be processed into becoming precious knowledge. Wisdom continues to be added to the model to further confuse the issue. This model constrains our ability to think more logically about how and why we develop knowledge management systems to support and enhance knowledge- intensive processes, tasks or projects. This paper seeks to summarise development of the Data-Information-Knowledge-Wisdom hierarchy, explore the extensive criticism of it and present a more logical (and accurate) construct for the elements of intellectual capital when developing and managing Knowledge Management Systems. Keywords: DIKW, knowledge management, intellectual capital, organizational learning, systems, data, information, knowledge, wisdom, truth, records, evidence, belief. Introduction Whenever we build systems or develop architecture or a framework for developing systems, it is critical to have a shared understanding of the style, design elements and building blocks that we are working with. Having a simple model of the relationships between data, information and knowledge is important to be able to promote a shared understanding of how the components of a knowledge management system connect and contribute to achieving the desired business outcome. The construct of the Data-Information-Knowledge-Wisdom (DIKW) as a hierarchy is not a preferred model to underpin the design, build and operation of knowledge management systems and may lead to poor design. The presumption that if you process enough data, a system will deliver information and then knowledge is challenged by many critics of the DIKW hierarchy model.
    [Show full text]
  • Discovering the Knowledge Monopoly of Law Librarianship Under the DIKW Pyramid
    University of Michigan Law School University of Michigan Law School Scholarship Repository Law Librarian Scholarship Other Publication Series 2016 Discovering the Knowledge Monopoly of Law Librarianship Under the DIKW Pyramid Xiaomeng Zhang University of Michigan Law School, zxm@umich.edu Available at: https://repository.law.umich.edu/librarian/23 Follow this and additional works at: https://repository.law.umich.edu/librarian Part of the Legal Writing and Research Commons, and the Library and Information Science Commons Recommended Citation Zhang, Alex Xiomeng. "Discovering the Knowledge Monopoly of Law Librarianship Under the DIKW Pyramid” L. Library J., 108, no. 4 (2016): 599-622. This Article is brought to you for free and open access by the Other Publication Series at University of Michigan Law School Scholarship Repository. It has been accepted for inclusion in Law Librarian Scholarship by an authorized administrator of University of Michigan Law School Scholarship Repository. For more information, please contact mlaw.repository@umich.edu. LAW LIBRARY JOURNAL Vol. 108:4 [2016-29] Discovering the Knowledge Monopoly of Law Librarianship Under the DIKW Pyramid* Alex “Xiaomeng” Zhang** Historical debates demonstrated that knowledge monopoly is a key to a profession. This article explores the exclusive knowledge base of the law librarianship profession through the lens of the Data-Information-Knowledge-Wisdom (DIKW) paradigm. Introduction .......................................................599 Knowledge Autonomy as the Core Characteristic
    [Show full text]
  • Finding Parallels Between Knowledge Creation and Inventory Management
    AD ALTA JOURNAL OF INTERDISCIPLINARY RESEARCH FINDING PARALLELS BETWEEN KNOWLEDGE CREATION AND INVENTORY MANAGEMENT aLUKÁŠ RICHTER company? Many economist and thinkers note, that knowledge is the most important resource of each company. University of Žilina, Faculty of Management Science and Informatics, Department of Management Theories, Univerzitná Nowadays there are many universal models in knowledge 8215/1, 010 26 Žilina management, which should be useful for praxis. But they are email: alukas.richter@fri.uniza.sk often more theoretical and abstract than ready for application in concrete case. The situation is not even in utilization in This article is supported by Faculty Research Grant of FRI, University of Žilina. inventory management. It can be found many universal models of knowledge creation in contemporary literature. For example: - DIKW model (Data-information-knowledge-wisdom Abstract: According to studies, the total costs related to inventories usually raise to 30- 60% of all company’s operational costs, therefore it is necessary to manage inventory pyramid model), meaningfully. Inventory management deals with complexity and many coordination - Senge’s Learning organization, problems, because inventory is managed by many different people. This fact usually - Nonaka’s SECI model, ‘Ba’ concept and Process model of causes of many problems in company and in supply chain. How is it possible to deal with these complex problems? Company need to improve the learning processes to the knowledge-based firm, foster knowledge creation. Studying knowledge management and utilization of these - Motycka’s Theory of regress ARME spiral, ideas in specific problematic of inventory management can bring competitive - Rona’s and Haslet’s Feedback model of knowledge-creation advantage for company and whole supply chain.
    [Show full text]
  • Role of Knowledge in Management of Innovation
    resources Article Role of Knowledge in Management of Innovation Yury Nurulin 1,* , Inga Skvortsova 2, Iosif Tukkel 1 and Marko Torkkeli 3 1 Institute of Computer Science and Technology, Peter the Great Saint-Petersburg Polytechnic University; Politekhnicheskaya Ulitsa, 29, Sankt-Peterburg 195251, Russia; i.tukkel@mail.ru 2 Institute of Industrial Management, Economics and Trade, Peter the Great Saint-Petersburg Polytechnic University; Politekhnicheskaya Ulitsa, 29, Sankt-Peterburg 195251, Russia; ingaskvor@list.ru 3 School of Engineering Science, Lappeenranta University of Technology, Yliopistonkatu 34, 53850 Lappeenranta, Finland; marko.torkkeli@lut.fi * Correspondence: yury.nurulin@gmail.com; Tel.: +7-7812-297-1628 Received: 15 March 2019; Accepted: 23 April 2019; Published: 5 May 2019 Abstract: Knowledge has always been, and still is, a crucial source of economy. However, during the past few years we have seen a growing interest in treating knowledge as a significant organizational resource for innovation. This trend coincides with the rapid development of ICT, indicating the strong influence that ICTs have on the processes of creating, disseminating, and using knowledge. At present, issues of innovation management and knowledge management are studied independently, which creates a certain gap in the systemic understanding of the innovation development processes. The paper proposes an integrated approach to the issues mentioned. The hierarchy and taxonomy of knowledge are considered from the point of view of their influence on decision-making at different stages of the innovation lifecycle. Our proposition complements and contributes to several recent models of decision-making developed in the frame of the innovation process. Keywords: Innovation system; knowledge typology; decision-making; innovation lifecycle 1.
    [Show full text]
  • Download/Repository/Kuhn Structure of Scientific Revolutions.Pdf Kurzweil, R
    Philosophical foundations of the Death and Anti-Death discussion (Forthcoming in Vol. 15, Death And Anti-Death set of anthologies by Ria Press) Jeremy Horne Perhaps there has been no greater opportunity than in this “VOLUME FIFTEEN of our Death And Anti-Death set of anthologies” to write about how might think about life and how to avoid death. There are two reasons to discuss “life”, the first being enhancing our understanding of who we are and why we may be here in the Universe. The second is more practical: how humans meet the physical challenges brought about by the way they have interacted with their environment. Many persons discussing “life” beg the question about what “life” is. Surely, when one discusses how to overcome its opposite, death, they are not referring to another “living” thing such as a plant. There seems to be a commonality, though, and it is this commonality is one needing elaboration. It ostensibly seems to be the boundary condition separating what is completely passive (inert) from what attempts to maintain its integrity, as well as fulfilling other conditions we think “life” has. In our present discussion, there will be a reminder that it by no means has been unequivocally established what life really is by placing quotes around the word, namely, “life”. Consider it a tag representing a bundle of philosophical ideas that will be unpacked in this paper. Each of us in our isolated way since humans have been able to think for themselves has known in advance that their individual existences are limited.
    [Show full text]
  • The Knowledge Pyramid: a Critique of the DIKW Hierarchy
    The Knowledge Pyramid: A Critique of the DIKW Hierarchy Item Type Preprint Authors Fricke, Martin Citation The Knowledge Pyramid: A Critique of the DIKW Hierarchy 2008, Download date 30/09/2021 19:18:35 Link to Item http://hdl.handle.net/10150/105670 The Knowledge Pyramid: A Critique of the DIKW Hierarchy This paper has been accepted for publication in Journal of Information Science and the final (edited, revised and typeset) version of this paper will be published in Journal of Information Science Vol?/Issue?/Year? By SAGE Publications Ltd.. All rights reserved. © CILIP. For more information please visit: http://jis.sagepub.co.uk Martin Frické School of Information Resources and Library Science, The University of Arizona, Tucson, Arizona, AZ 85718, USA Abstract The paper evaluates the Data-Information-Knowledge-Wisdom (DIKW) Hierarchy. This hierarchy is part of the canon of information science and management. The paper considers whether the hierarchy, also known as the ‘Knowledge Hierarchy’, is a useful and intellectually desirable construct to introduce, whether the views expressed about DIKW are true and have evidence in favour of them, and whether there are good reasons offered or sound assumptions made about DIKW. Arguments are offered that the hierarchy is unsound and methodologically undesirable. The paper identifies a central logical error that DIKW makes. The paper identifies the dated and unsatisfactory philosophical positions of operationalism and inductivism as the philosophical backdrop to the hierarchy. The paper concludes with a sketch of some positive theories, of value to information science, on the nature of the components of the hierarchy: that data is anything recordable in a semantically and pragmatically sound way, that information is what is known in other literature as ‘weak knowledge’, that knowledge also is ‘weak knowledge’ and that wisdom is the possession and use, if required, of wide practical knowledge, by an agent who appreciates the fallible nature of that knowledge.
    [Show full text]
  • Demystifying Big Data: Value of Data Analysis Skills for Research Librarians
    Demystifying Big Data: Value of Data Analysis Skills for Research Librarians Tammy Ann Syrek-Marshall, MLS Abstract There was a time when librarians learned statistics solely as a management tool, a way of measuring library usage and materials circulation. More advanced users of statistics might use it in research papers as a metric for in-depth study of patron behavior and bibliographic analysis. At one time, Excel spreadsheets primary use was in managing library budgets or producing attractive graphs for library reports and publications. As for data, it’s no longer enough to simply provide access; the value now is in understanding and interpreting this data. This begins with knowing the difference between small data and big data. Small data is static, a snapshot of a single moment in time. Businesses and other organizations, however, are now eagerly tapping into the predictive power of big data. To fully realize the potential of big data, people who possess certain skill sets are in high demand, making data analytics and data science two of the fastest growing career fields. Depending on the size of the organization, librarians will find themselves called upon to work closely with data analysts. Librarians and researchers who possess even a basic understanding of data analysis are now positioned to competently collaborate with these data professionals. Research librarians with a strong grasp of the methodology and processes of data analysis stand the best chance of expanding their roles within their organizations. To this end, for those who currently have had limited exposure to big data and analytics, it is time to become acquainted with this growing field; to begin the process of expanding research methodology with an understanding of predictive data analysis.
    [Show full text]
  • 123 the Cybercultural Scene in Contemporary
    The Cybercultural Scene in Contemporary Journalism: Semantic Web, Algorithms, Applications and Curation Elizabeth Saad Corrêa 1 Daniela Bertocchi 2 Abstract This paper discusses the different cybercultural aspects within contemporary journalism experiences, mainly from the emergence of the Semantic Web and the technical functionalities that result from it, such as the use of algorithms and applications. We explain the basic concepts of this technical set and it’s correlation to the Communication and Journalism fields particularly. The possibilities of approximation of this scene within journalistic activity are presented due to examples which are already in application with international journalistic markers. We come up with a configuration of the curation role for the professional that will act within this new cybercultural context. Keywords : Cyberculture, Digital Journalism, Semantic Web, Algorithms, Curation Introduction We aim to think communication happens when machines also communicate, especially in the journalistic information context. This concern rises as a result of the recent and increasingly present debates about the development of the Semantic Web (SW), one of Tim Berners-Lee (Bourenane, Szoniecky, &Saleh, 2009) most well-known predictions which now begins to reach it’s stage of consolidation (Adolphs, Cheng, Klüwer,Uszkoreit, & Xu, 2010). From the SW, we are also interested in discussing the debates about the use of Algorithms and Applications (apps) in the journalistic process, exploration which discloses an irreversible trend in the main highlighted essays of the web as (Rabaino, 2011 and Carr, 2011). The SW, apps, algorithms, databases, among other things, are contemporary cybercultural manifestations and change the ways of sociability, therefore, we are faced with another discussion and reflection field, not to say pressing changes.
    [Show full text]
  • Le Strategie Aziendali: Competere E Cooperare
    Dipartimento di Impresa e Management Cattedra di Economia e Gestione delle Imprese Le strategie aziendali: competere e cooperare Prof.ssa Francesca Romana Arduino Matr. Tiziana Lauritano Anno Accademico 2019/2020 1 INDICE Sommario INTRODUZIONE ....................................................................................................................................... 3 CAPITOLO 1: LA STRATEGIA COMPETITIVA .............................................................................................. 5 1.1 COMPETERE EFFICACEMENTE SUL MERCATO .................................................................................................... 5 1.2 I TRE APPROCCI PRINCIPALI ALLA STRATEGIA COMPETITIVA .................................................................................. 9 1.2.1 La leadership di costo ................................................................................................................. 10 1.2.2 La strategia di differenziazione .................................................................................................. 14 1.2.3 La strategia di focalizzazione ...................................................................................................... 17 1.3 L’INFLUENZA DELL’ICT SULL’ELABORAZIONE DELLA STRATEGIA AZIENDALE ........................................................... 21 1.4 I VANTAGGI DELLO SVILUPPO AUTONOMO .................................................................................................... 26 CAPITOLO 2: LA STRATEGIA DI COLLABORAZIONE ................................................................................
    [Show full text]
  • The Significant Role of Metadata for Data Marketplaces
    Proc. Int’l Conf. on Dublin Core and Metadata Applications 2019 The Significant Role of Metadata for Data Marketplaces Sebastian Lawrenz Priyanka Sharma Andreas Rausch Institute for Software and Institute for Software Institute for Software Systems Engineering, and Systems Engineering, and Systems Engineering, Clausthal University of Clausthal University of Clausthal University of Technology Technology Technology sebastian.lawrenz@tu- priyanka.sharma@tu- andreas.rausch@tu- clausthal.de clausthal.de clausthal.de Abstract With the shift to a data-driven society, data trading takes on a completely new significance. In the future, data marketplaces will be equivalent to other electronic commerce platforms such as Amazon or eBay. Just like any other online marketplace a data marketplace is a platform that enables convenient buying and selling of products- in this case “data” Metadata is data about data. Metadata plays a significant role in data trading, as it serves as an orientation for all involved parties in the data marketplace. A seller who wants to sell their data on the marketplace needs metadata to describe the selling offer, and the buyer can use it to search and identify relevant data. This paper outlines the significance of metadata in data trading on a data marketplace and classifies the levels of metadata. Moreover, in data trading metadata has also a significant role in determining the data quality. In this paper we also discuss the role of metadata in terms of data quality. Keywords: metadata; data trading; data marketplaces; data quality 1. Motivation and Introduction In the last decade, data has become more important than ever. An oft-quoted phrase is: “Data are the oil of the 21.
    [Show full text]
  • Can the Knowledge Pyramid Be Used to Focus Business Design on Transformation Through Persona Development?
    Dean 1 Can the Knowledge Pyramid be Used to Focus Business Design on Transformation through Persona Development? Written by William G. Dean, DM, Vice President of Business Administration at NewGround The Knowledge Pyramid, commonly known as the Data-Information-Knowledge- Wisdom hierarchy (Figure 1), proposes a defined progression of data-based information transcending upward, toward the attainment of wisdom. Although wisdom has been studied for centuries, a current application can be posed as the interpolative processes involved in answering “why” questions, using gained knowledge (Hoppe, Seising, Nurnberger, & Wenzel, 2011). Ackhoff (1989) defined wisdom as an elevated knowledge, meaning knowledge is said to answer more difficult questions through moral and ethical codes (Hoppe et al., 2011). Figure 1: Source: Brahmachary, Ayan. “DIKW Model: Explaining the DIKW Pyramid or DIKW Hierarchy, CertGuidance, May 4, 2018, n. p. Web. Dean 2 Reasoning has followed a progressional hierarchy within the Knowledge Pyramid using assumptions that data can be used to create information; information used to create knowledge; and knowledge can be used to create wisdom (Rowley, 2007, p. 164). Many organizations use data and information to develop strategies and business objectives, oftentimes without the focused contribution of knowledge to guide strategic decisions and goal setting using the higher -areas of knowledge and wisdom. Additionally, organizations are not applying the concept of persona development to further guide organizational design and marketing for improved business results. The purpose of this paper is to briefly examine the Knowledge Pyramid and apply its key attributes to persona development that might allow for business transformation in organizations focused on shared behaviors for product or service delivery.
    [Show full text]
  • Analytics in the Pursuit of Knowledge: Adapting the Knowledge Pyramid
    Proceedings of the 51st Hawaii International Conference on System Sciences j 2018 Analytics in the Pursuit of Knowledge: Adapting the Knowledge Pyramid Ronald D. Freeze University of Arkansas – Fayetteville rfreeze@walton.uark.edu Abstract will need 4.4 million jobs by 2015 with only one-third being filled [10], U.S. may face a 50 to 60 percent gap Advances in storage leading to the Internet of in deep analytics talent [11], demand for employees in Things (IOT) and Big Data has exponentially the analytics discipline surpasses the supply [12] only increased the Data aspect of the traditional Knowledge 26 percent of companies feel that their analytics needs Pyramid – Data-Information-Knowledge-Wisdom are met [13] and business schools [need] to develop (DIKW). This paper presents an adaptation of the appropriate business analytics courses and programs Knowledge Pyramid as an Analytics Pyramid in which for all majors [14]. With the rapid expansion and Time is posited to represent Wisdom as the pinnacle availability of data, a push to spend money to create achievement when pursuing knowledge. Analogies of value from the captured data and the recognition that the DIKW are presented from the Analytics Pyramid as greater talent is needed to realize value, the question Description-Aggregation-Modeling-Time. arises on whether the predominant focus on the data is Implementing the premise of the Analytics Pyramid getting in the way of acquiring more knowledge. The focuses on an interative/repetitive movement of both question needs to be asked: How do we create individuals and organizations through all Description- knowledge through analytics, and what, in analytics, Aggregation-Modeling-Time stages in order to build relates to knowledge? and obtain the Wisdom pursued in the traditional The technological advances allowing the storage of Knowledge Pyramid.
    [Show full text]