April 6, 2022

• Examining the business purpose and the problem being solved
• Realizing the data assets currently accessible and uncovering what might be needed
• Understanding the capabilities of the current data platform and procuring further capability
• Zeroing in on data science
• Comprehending acceptable data use policies
• Sharing customer understanding and value 

Data is the lifeblood/oil/oxygen- the energy of artificial intelligence. AI after all is simply math on top of data. For the enterprise to truly benefit from AI, stakeholders and front-line personnel must understand the importance of the data informing it.

• Realizing that your main data problem is a culture problem
• Do your people understand the effect of current data on the future health of the enterprise?
• Understanding that data is your potential chief enterprise value
• Has your CEO gotten behind master data management?
• Aligning the business to ensure your data journey remains on track
• Do business leaders keep in line with governance?
• Consistently returning to policies, practices and procedures to remain master of your domain

• Attaining checks & balances with cogent data governance
• Expediting Drucker-inspired data management
• Optimizing your enterprise data platform
• Divining enterprise information management
• Gaining data insights from predictive, prescriptive and descriptive analytics

As noted in the previous session, historical data has lost value. All the more reason to enrich the value of real-time data.

• Understanding that your enterprise can’t compete without insightful data
• Basking in the glow of truly clean data and then enriching it with value
• Uncovering insights from siloed datasets by augmenting them with others
• Transforming data from disparate sources to gain enterprise intelligence

Join this live roundtable conversation on camera to discuss:

• Lessons learned from the event
• Myths debunked through event sessions
• New concepts brought to the surface over the course of the event 
• Speaker and attendee actionable key takeaways 

Mark Wilson

Data Governance
Handelsbanken

See Bio