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Claire Tolmay

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Claire Tolmay

GLOBAL HEAD OF ANALYTICS

South AfricaVerified Community Ambassador

Identified Expertise

People & Leadership9
Feedback5
Strategy & Architecture4
Data & Analytics3
Process Management3

Engagement Stats

22
Answers Written

3.4K
Profile Views

11
Upvotes Received

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What percent of your IT leadership is women?

People & Leadership

<5

5-9

10-14

15-20

20+

View Results

10k views7 Upvotes6 Comments

Do you have remote employees on your team?

Talent Management & Performance

Yes

No

16.4k views7 Upvotes7 Comments

What do you do with unsolicited vendor gifts?

People & Leadership Financial Management Vendor Management

Keep it

I never accept them

Donate it

Depends on the dollar amount

Other (leave a comment)

View Results

23.7k views10 Upvotes35 Comments

Do you believe cryptocurrency should be regulated?

Cryptocurrency & Bitcoin

Yes

No

8.8k views3 Upvotes2 Comments

Which cloud provider do you use for your Enterprise Data Warehousing needs?

Data & Analytics Business Intelligence Storage

Google Cloud Platform - BigQuery

Amazon Web Services - Redshift

Microsoft - Azure

Snowflake

View Results

4.6k views2 Upvotes2 Comments

How large is your department?

Team & Organizational Design

< 5 individuals

6-10 individuals

11-20 individuals

> 20 individuals

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8.9k views1 Upvote

Is AI going to affect the number of jobs in your company in the next 12 months?

Culture & Values AI & Machine Learning

Yes, more jobs created

Yes, jobs lost to AI

Other (please comment)

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50k views11 Upvotes47 Comments

What feels like the most difficult part of starting a company?

Culture & Values

Raising funds

A good idea

A good team

High probability it fails

Other (please comment)

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8.5k views4 Upvotes11 Comments

What’s the best software development methodology for enterprise-level projects?

Technical Product Management Software Development Management Tools+1 more

Waterfall

Prototype

Rapid Application Development

Agile Scrum

Agile Kanban

Dynamic System Development

Lean Software Development

Other .. please add it down

View Results

27.3k views9 Upvotes15 Comments

What's the most important friction in deploying Robotic Process Automation (RPA) in your company?

People & Leadership Applications & Platforms Engineering+14 more

Cost of RPA products

Lack of developers who can code RPA applications

Amount of customization needed to automate business processes

Lack of RPA code maintenance resources

View Results

11.7k views5 Upvotes8 Comments

Who owns the AI strategy in your organization? Do you feel it is currently placed in the right business unit/service area?

Claire TolmayGLOBAL HEAD OF ANALYTICS in Healthcare and Biotech6 months ago

AI crosses between the Division of Institutional Effectiveness (CDAO), Division of Information Technology (CIO), and an Institute.

1 3 Replies

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335 views6 Comments

With the advent of LLMs being used more widely, what are your opinions on the introduction of biases into the pool of answers and solutions provided by these models? Will we require more validation of the answers provided by these models down the line? Do you think this marks the advent of new “AI validation” roles in the future?

Data & Analytics

Claire TolmayGLOBAL HEAD OF ANALYTICS in Healthcare and Biotech8 months ago

I do think that an AI validation role is necessary. However, the maker of the given model has the responsibility regarding the content that goes into a given model. The AI validation role on the backend is the safety net...read more

1 1 Reply

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275 views7 Comments

How often do you encounter leaders who are more inclined to make decisions based on instinct rather than data? What's your go-to approach for getting these leaders more comfortable with shifting to data-driven decision making?

Claire TolmayGLOBAL HEAD OF ANALYTICS in Healthcare and Biotech4 months ago

I've found that a lot of it is about building relationships. In my organization, we're about helping people when they're in hard spaces. We're driven by a bigger mission and we build a lot of relationships along the way. ...read more

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28 views4 Comments

What is one challenge you've come up against while trying to mature your D&A culture, and how have you (or have you?) overcome it?

Claire TolmayGLOBAL HEAD OF ANALYTICS in Healthcare and Biotech4 months ago

The initial challenge we faced was the disparate reporting structure of our data engineering team, data science team, and the SMEs. In India, the SMEs typically report to the business side, while the data engineers and data ...read more

1 Reply

21 views2 Comments

What aspect of a mature data and analytics culture are you most passionate about? This is your chance to get on the soap box and preach!

Claire TolmayGLOBAL HEAD OF ANALYTICS in Healthcare and Biotech4 months ago

I'm most passionate about the transformative power of data analytics to drive innovation and create value for both organizations and stakeholders. It's not just about us, it's about our customers too. It's crucial to mature ...read more

1 Reply

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187 views5 Comments

For those with an AI Council/Board, what instigated the development of this board? What are some problems it’s working on, and how effective do you think the board will be at coming up with solutions?

Disruptive & Emerging Technologies AI & Machine Learning Generative AI+3 more

Claire TolmayGLOBAL HEAD OF ANALYTICS in Healthcare and Biotech5 months ago

The main reasons for us to establish governance around AI have been to address ethical concerns, to ensure legal and regulatory compliance, to control that intellectual property was not disclosed and to avoid multiple teams ...read more

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2.2k views1 Upvote6 Comments

Who owns the AI strategy in your organization? Do you feel it is currently placed in the right business unit/service area?

Claire TolmayGLOBAL HEAD OF ANALYTICS in Healthcare and Biotech6 months ago

AI crosses between the Division of Institutional Effectiveness (CDAO), Division of Information Technology (CIO), and an Institute.

1 3 Replies

Read More Comments

335 views6 Comments

With the advent of LLMs being used more widely, what are your opinions on the introduction of biases into the pool of answers and solutions provided by these models? Will we require more validation of the answers provided by these models down the line? Do you think this marks the advent of new “AI validation” roles in the future?

Data & Analytics

Claire TolmayGLOBAL HEAD OF ANALYTICS in Healthcare and Biotech8 months ago

I do think that an AI validation role is necessary. However, the maker of the given model has the responsibility regarding the content that goes into a given model. The AI validation role on the backend is the safety net...read more

1 1 Reply

Read More Comments

275 views7 Comments

Follow up on my previous travel question: What is your favorite place to travel to for work and why?

Peer Insights People & Leadership

Claire TolmayGLOBAL HEAD OF ANALYTICS in Healthcare and Biotecha year ago

By far the best place for me to travel was Shanghai. Loved the city and the vibe. Singapore is also an amazing place to have to be stationed for work.

6

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46.3k views11 Upvotes26 Comments

What is the first thing data leaders need to get right to avoid problems with self-serve analytics?

Data & Analytics People & Leadership Relationship Management+1 more

Claire TolmayGLOBAL HEAD OF ANALYTICS in Healthcare and Biotecha year ago

I would start with transparency regarding the source of the data product being produced. Consider a Bronze, Silver, and Gold certification of all data products.

Where Bronze means the report or analysis was generated ...read more

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556 views9 Comments

What is the best work travel advice you’ve ever been given?

Feedback People & Leadership

Claire TolmayGLOBAL HEAD OF ANALYTICS in Healthcare and Biotecha year ago

Work travel is a privilege. Embracing your experience to meet new people, and see the beauty of nature and culture wherever you go.

23 5 Replies

Read More Comments

146.3k views51 Upvotes72 Comments

I'm trying to have my data scientists focus on ways to spend less time cleaning data, but they always blame our business partners for poor data quality. Besides attacking data quality and blaming others, what are some good initiatives to evaluate that could empower my team to deliver faster / better insights?

Data & Analytics Database

Claire TolmayGLOBAL HEAD OF ANALYTICS in Healthcare and Biotecha year ago

Part of the role of a data scientist is cleaning data, and if there’s a lot of time spent on cleaning then a system should have been developed that automated the data cleanup process.

That’s to say if the messy data ...read more

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344 views2 Upvotes7 Comments