Week in the Life of an Analyst at Gartner US IT Symposium (virtual) 2021

If you observe my weblog for any interval of time you will know that for a few years I’ve attended our annual Gartner IT Symposium I do a day-in-the-life weblog of an analyst.  This normally begins with a graphic of my ideas waves (courtesy of Muse) and then you definately definately get an hour by hour run down of what I do daily.  I then wrap all of it up with a summary of my 1-1s.  This time, since we had been digital I solely managed to close out the week with the 1-1 summary.  Here it is (underneath) along with the most steadily shared/used graphics all by means of the week.

Industry: 35 (alphabetical)

• Automotive 1
• Business/Consumer Services 5
• Chemicals 1
• Consumer/Goods 3
• Defense 2
• Energy/Clean 1
• Energy/Power 2
• Financial Services 4
• Food 1
• Healthcare 4
• Higher Ed. 3
• HVAC 1
• Conglomerate/Industrial 4
• Logistics 1
• Technology Vendor 2

Type: 35 (ordered in frequency)

• Services 14
• Manufacturer (course of or discrete) 8
• Distributor 7
• Public Sector 3
• Conglomerate 1
• Retail 1
• Public Sector (Military) 1

Topic: (ordered in frequency)

• MDM and/or D&A Governance and Stewardship 26
• Monetization/Link data to finish consequence (price pyramid) enterprise price of data/enterprise affect 20
• D&A Strategy/infusing enterprise with (complete) 16
• Business Information Model/Arch in comparability with primary enterprise data model and simple strategies to narrate it to catalogs and marketplaces and enterprise data fashions 13
• Getting Started 14
• CDO Leadership/Organization (roles, decentralized/enterprise v centralized/IT) 11
• Analytics Tactics (acknowledged finish consequence/acknowledged data/BI/analytics v unknown finish consequence/unknown data/data science/ML) 11
• Data Hub Strategy 10
• Digital Business connections to D&A/dedication modeling 10
• Lakehouse (data warehouse and data lake working collectively) 8
• Data Literacy, teaching, coordination, collaboration 8
• Business Innovation with D&A 6
• Specific Vendor Questions 5
• Portfolio Planning/Optimization 5
• Data Management Infrastructure/Data Fabric 5
• Data Integration methods 4
• Metadata Strategy 3
• Build (SWEL) v Buy 1
• Decision Making/GDI 1

Role: 35 (ordered in frequency)

• Chiefs:
  • CIO VP/IT 9
  • CDO (data officer) 2
  • COO 1
  • Chief Medical Information Officer 1 (CIO)
  • Chief Data Strategist 1
• Leaders:
  • Director IT 2
  • Director IM/IT 1
  • VP Data and Analytics 1
  • Senior Director 1
  • VP BI and Innovation 1
  • VP Demand Sciences 1
  • Director Enterprise Applications 1
  • VP Data Science 1
  • Director Enterprise Analytics 1
  • Director Product Marketing 1
  • Director IT Solutions Delivery 1
  • Director of Information Systems & Portfolio 1
  • Director Global Services 1
• Managers:
  • Application Manager 1
  • Technical Manager 1
  • Enterprise Data Manager 1
  • Web and Data Services Manager 1
•  Others:
  • Snr Architect 1
  • Snr Technical Advisor 1 (EA)
  • Unknown 1
  • Portfolio Manager 1

In phrases of the hottest visuals/slides we explored all through the week, listed beneath are the excessive three.

Figure 1: Data and Analytics Strategy and Operating Model

 

Most 1-1’s started proper right here.  It normally didn’t matter the opening state of affairs since all people desires a guardrail in which to rearrange subsequent steps.  That is the magnificence of our framework.  Central to every dialog was, “and what’s the enterprise finish consequence” which is particular in our D&A Strategy and Operating Model (and sometimes missing in totally different fashions in the commerce).

Figure 2: Value Pyramid.

 

This is type of like an earlier fan-favorite.  This graphic and accompanying slides talk about to a steady principle that’s nonetheless elusive in many overly superior strategies and efforts: straightforward strategies to make diagnostic connections between specific data and a enterprise finish consequence your chief cares about?  The slide alludes to a workshop and a expertise that any D&A process can grasp and in so doing, it augments their communications functionality with enterprise leaders and likewise uncover and make clear to technologists further readability over requirements for data, analytics, innovation, enchancment, and governance.

Figure 3: The Data and Analytics (infrastructure) Continuum

 

This has on no account been revealed though it preceded what was, Adam Ronthal’s Data and Analytics Infrastructure Model.   This easier view is what I take benefit of to find with leaders straightforward strategies to gauge the desires of the enterprise at a extreme stage when evaluating to traditional analytics and innovation with AI and ML and data science.  What I found most rewarding was that two chief’s talked about they appreciated the slide and consider to make use of it with their pals in their upcoming conferences since the graphic was straightforward to know and it despatched a powerful, clear message.  What further can an analyst want?

I discussed I would share the excessive 3.  But there is a fourth!

Figure 4: Connecting Catalogs/Marketplaces and Data Fabric to modern, finish consequence D&A governance.

This graphic has not been revealed and in actuality is ongoing evaluation.  However the thought is pretty straightforward (if incomplete for now).  An info material will assist uncover and inform about data all through silos.  An info catalog can catalog that exact same stuff.  A market too.  But as is, all such data is ungoverned.  The solely strategy to efficiently govern it is when enterprise leaders and roles sort out the responsibility of protection setting and enforcement – and that is the place the price pyramid and totally different best practices come in.  The top-down, outcome-based technique is at the excessive of decide 4 and it will assist make clear why enterprise roles might want to govern a glossary.  But IT has to deal with the lower stage technical data and that is represented as a dictionary.  And catalogs and data material will be utilized to assemble these out too.  So all these initiatives and capabilities can be part of.  So “be part of” was a powerful phrase this week at Symposium.

Hopefully you had some pleasurable at Symposium and positioned it helpful.  I hope to see you all as soon as extra – maybe in particular person – subsequent yr!

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