rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: FIELD GUIDE TO COMPELLING ANALYTICS
  name:
    name part: DeGrange, Walt
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Darrow, Lucia
    role:
      role term: author.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: xx
    place:
      place term: S.l.]
    publisher: CHAPMAN & HALL CRC
    date issued: 2022
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: Field Guide to Compelling Analytics is written for Analytics Professionals (APs) who want to increase their probability of success in implementing analytical solutions. In the past, soft skills such as presentation and persuasive writing techniques have been the extent of teaching junior APs how to effectively communicate the value of analytical products. However, there are other aspects to success such as trust and experience that may play a more important role in convincing fellow APs, clients, advisors, and leadership groups that their analytic solutions will work. This book introduces the formula Analytics + Trust + Communication + Experience > Convince Them' to illustrate an AP's ability to convince a stakeholder. The Convince Me' stakeholders might be an analytics team member, team lead, decision-maker, or senior leader that are either internal or external to the AP's organization. Whoever they are, this formula represents a concise, digestible, and above all practical means to increase the likelihood that you will be able to persuade them of the value of your analytical product. Features Includes insight questions to support class discussion Written in broadly non-mathematical terms, designed to be accessible to any level of student or practicing AP to read, understand, and implement the concepts Each section introduces the ideas through real-life case studies
  note: Walt DeGrange is the Director of Analytics Capabilities for CANA. He has extensive experience implementing analytical models in both the Department of Defense and commercial areas. Prior to CANA, Walt served 21 years in the US Navy as a Supply Corps Officer. He was the Director of Operations Research at several military commands as well as a Military Assistant Professor on faculty at the Naval Postgraduate School in the Operations Research Department. Walt is also very active in analytics education. He is an adjunct faculty member at the University of Arkansas with both the Master of Science Operations Management and Engineering Management programs. He is an MBA Executive Advisor at the NC State University Poole School of Management. Walt serves as the Military Operations Research Society (MORS) Course Director for the Critical Skills for Analytics Professionals Certificate Program, and he teaches the Analytics Capability Evaluation (ACE) Coaching Course for INFORMS. Lucia Darrow is a data visualization expert with experience implementing analytical models in a variety of environments, including healthcare, manufacturing, defense, and finance. An industrial engineer by training, Lucia also has extensive experience with Lean manufacturing and the modeling of complex systems. In a professional role as a learning and development lead and as a community events organizer, she has facilitated many successful networking events, tutorials, and classes in a wide range of analytics topics. Lucia is actively involved in the analytics community through RLadies and recently co-organized the first Vancouver, BC Datajam. She holds a Master of Science in Industrial Engineering from Oregon State University and a Bachelor of Science in Mathematics from Dickinson College. Lucia is currently a Content Marketing Data Analyst with RepRisk AG, an environmental, social, and corporate governance (ESG) data science company based in Zurich, Switzerland.
  subject:
    topic: Operations research
  subject:
    topic: Management science
  subject:
    topic: Business
    topic: Data processing
  subject:
    topic: Information visualization
  subject:
    topic: Communication in management
  subject:
    topic: Recherche opérationnelle
  subject:
    topic: Sciences de la gestion
  subject:
    topic: Gestion
    topic: Informatique
  subject:
    topic: Visualisation de l'information
  subject:
    topic: Communication en gestion
  subject:
    topic: BUSINESS & ECONOMICS / Operations Research
  subject:
    topic: MATHEMATICS / Probability & Statistics / General
  subject:
    topic: TECHNOLOGY / Engineering / Industrial
  subject:
    topic: Business
    topic: Data processing
  subject:
    topic: Communication in management
  subject:
    topic: Information visualization
  subject:
    topic: Management science
  subject:
    topic: Operations research
  classification: T57.6
  classification: 658.4/034
  related item:
    identifier: (OCoLC)1312149611
  identifier: 9781000755404
  identifier: 1000755401
  identifier: 9781003204190
  identifier: 1003204198
  identifier: 9781000755459
  identifier: 1000755452
  identifier: 1032065257
  identifier: 9781032065250
  identifier: 9781003204190 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: YDX
    record creation date: 220813
    record change date: 20241111204728.4
    record identifier: in00005527790
    language of cataloging:
      language term: eng