Do you think customers are becoming more comfortable with sharing their data in exchange for personalized experiences?

Yes, most are becoming more comfortable14%

Some are, but most remain hesitant66%

No. Customer sentiments are unchanged12%

No, I think they are becoming less comfortable5%

I haven’t got an opinion2%

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Director of Data in Healthcare and Biotech2 years ago

I truly believe the hesitancy in sharing has come from two avenues:
1. The lack of transparency from many organisations regarding how PII data is used and protected.  Whilst GDPR and other regulations have provided a framework, the real implementation of these provisions have been hidden cloak and dagger behind countless settings and requirements to gain this information for majority of individuals.  Furthermore, recently publicised data breaches have further reiterated the lack of trust.
2. The perception that personalisation is impeding on their own decision making.  Id do believe that should we provide more unique personalised experiences we should start to see some of this concern decrease.  However, for now, the provision of similar personalised experiences across platforms doe snot motivate the consumer/customer to share.  

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Yes - Maine did the right thing. There are too many security risks with free versions of these tools. Not enough copyright or privacy protections of data.29%

No, but.... - You must have good security and privacy policies in place for ChatGPT (and other GenAI apps). My organization has policies and meaningful ways to enforce those policies and procedures for staff.44%

No - Bans simply don't work. Even without policies, this action hurts innovation and sends the wrong message to staff and the world about our organization.19%

I'm not sure. This action by Maine makes me think. Let me get back to you in a few weeks (or months).5%

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Data Integration (e.g., Fivetran, Talend, Apache NiFi)23%

Data Warehousing (e.g., Snowflake, BigQuery, Redshift) 51%

Analytics & BI (e.g., Tableau, Power BI, Looker) 37%

Data Governance (e.g., Collibra, Alation, Informatica)29%

Data Engineering & Pipelines (e.g., dbt, Airflow, Prefect)23%

AI/ML Platforms (e.g., Databricks, SageMaker, Vertex AI) 14%

Metadata Management (e.g., Amundsen, DataHub)11%

Other 3%

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