Marketing analytics workshop agenda: decisions before implementation
Decisions about marketing analytics improve when marketing leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Session outlines, panel questions and discussion guides for expert-led technology conversations.
Decisions about marketing analytics improve when marketing leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about marketing automation improve when marketing leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about martech governance improve when marketing leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about master data management improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about meeting technology improve when collaboration leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about MLOps improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about model monitoring improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about modern data platforms improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about modern intranets improve when collaboration leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about observability improve when information technology leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about omnichannel service improve when customer experience leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about operations analytics improve when operations leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about partner sales technology improve when sales leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about payroll systems improve when human resources leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about people data governance improve when human resources leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about performance management improve when human resources leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about personalisation improve when marketing leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about pipeline management improve when sales leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about platform engineering improve when information technology leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about platform strategy improve when leadership leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about portfolio governance improve when leadership leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about privacy engineering improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about privileged access management improve when cybersecurity leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about process mining improve when operations leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
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