Day in the Life of an Industry Analyst at Gartner’s (Virtual) IT Symposium Xpo 2020 – Day 4

It was a busy, satisfying, most fascinating week.  I hope all people who joined our intervals and 1-1’s extracted the value and options they appeared for.  My 1-1’s had been very fascinating, as all the time.  Almost every group I spoke to is battling data and analytics and making an try to work out the proper method to re-engineer how their enterprise leaders take selections.  Here is an overview of my week’s 1-1s.

The Week’s Summary of 1-1s (45 entire):

Industries:

• Financial Services/Banking 12
• Grocery / Food and Beverage 6
• IT Sector (tech, consulting and so forth.) 4
• Public Sector 4
• Communications & High Tech; Consumer and Entertainment 4
• Healthcare 3
• Higher Education 3
• Apparel/Footwear 2
• Bio/Pharma 1
• Energy 1
• Household/Hard Goods 1
• Industrial Automation 1
• Paper and Pulp 1
• Sustainability 1
• Travel 1

Industry Types:

• Services 25
• Manufacturing/Distribution 14
• Public Sector 4
• Retail and e-Commerce 2

Topics:

• (broader/full) Data and Analytics Strategy 20
• Data and Analytics Governance and/or MDM 15
• Organization, Leadership, Roles and so forth. 6
• Silver bullet/shiny object syndrome 6
• Best Practices all through D&A/sometimes 5
• Advanced Analytics/ML or AI 4
• Data Management 4
• Enterprise Information Management 4
• Analytics Strategy (solely) 3
• Data Monetization 1
• Innovation 1

Role/Title:

• Business enchancment supervisor 1
• Chief Data Officer/CDO 4
• CEO 1
• CIO 5
• CTO 1
• Chief Quality Officer 1
• Director Analytics 1
• Director Database Engineering 1
• Director Data Mgt and Advanced Analytics 1
• Data Governance 1
• Developer Manager 1
• Director 1
• Enterprise Architect 1
• EIM Manager 1
• Finance Reporting 1
• Global Digital Transformation 1
• IT Director 3
• Manager IT 1
• Manager D&A 1
• Snr Director Strategy 1
• Senior IT Manager – Applications 1
• VP 1
• VP Analytics/VP Data 3
• VP BI and Applications 1
• VP/CTO 1
• VP Engineering 1
• VP IT 2
• VP or Manager, Business Applications 2
• VP Innovation 1
• VP Tech purchaser experience 1
• Other 2

The Week’s Most Popular “despatched” Research as Follow Up to 1-1:

Digital Strategy Infused with Data and Analytics:

• How to Make Data and Analytics Central to Your Digital Transformation Initiative
• Top Strategic Technology Trends for 2021 “Organizations, pushed by the ever-increasing tempo of that change, are accelerating their digital enterprise strategies. As a consequence, they need to quickly make enterprise selections in assist of enterprise moments, educated by associated data. They ought to then adapt their capabilities to behave on these selections in near precise time.”
• Improve Decision Making Using Decision Intelligence Models

D&A Leadership/Chief Data Officer:

• Leadership Vision for 2021: Data and Analytics
• How CDOs Can Use Data Storytelling to Engage and Influence Stakeholders
• Toolkit: Chief Data Officer Job Description

Overall Data and Analytics Strategy:

• Recorded Webinar: Emerging Practices for a Data-driven Strategy
• Toolkit: Creating a Modern Data and Analytics Strategy and Operating Model
• Tie Your Data and Analytics Initiatives to Stakeholders and Their Business Goals
• How to Craft a Modern, Actionable Data and Analytics Strategy That Delivers Business Outcomes

 Modern Data and Analytics Governance:

• Design an Effective Information Governance Strategy
  • And associated recorded webinar Overview of the outcome-based technique to D&A Governance
• Use Gartner’s Value Pyramid to Connect Data and Analytics to Business Value
  • And associated recorded webinar Drill-down on the “hyperlink data to consequence” thought we advocate to prioritize the proper method to be part of the teams spherical shared outcomes
• Data and Analytics Governance Requires a Comprehensive Range of Policy Types
  • Discusses the wish to connect the disparate silos of data privateness, data security, and knowledge top quality and so forth.
• How Augmented Data Management Capabilities Are Impacting MDM and Data Governance
• Toolkit: Data and Analytics Governance Role Descriptions
• Toolkit: Data and Analytics Governance Organizational Structures

Organizing the Work of Data and Analytics:

• Where to Organize the Work of Data and Analytics
• What Are the Must-Have Roles for Data and Analytics?

Other notes we acknowledged:

• Build a Data Quality Operating Model to Drive Data Quality Assurance
• The Gartner Digital Business Value Model: A Framework for Measuring Business Performance

The Week’s Most Popular Shown Slides or Images Discussed During 1-1s:

Image 1: Gartner’s Data and Analytics Strategy and Operating Model

Image 2: Gartner’s Decision Intelligence Model

 

Image 3: The Data and Analytics Continuum (summary mannequin of the Data and Analytics Infrastructure Model

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Image 4: Gartner Value Pyramid

 

Image 5: Gartner’s Three Rings of Data and Analytics Governance

 

Image 6: And positive, too sometimes any person would each ask for or admit there isn’t, a shiny object or shiny object syndrome

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