David Curry

Marketing with Data • Creative • Technologist • Naturalist

[David Curry @agentcurry]

Wonderful summary on how Airbnb created a data quality initiative and the steps they took to streamline their process and resources to support the initiative.

#dataengineering #datascience

https://t.co/DCeqZFNhwi

[David Curry @agentcurry]

Process over tools... It's fun to learn new tools, but the focus of our work should be solving problems.

Focus on what you want to accomplish, how you can accomplish it with existing skills, and fill the gap with new tools if needed.

#machinelearning #datascience #programmer

[David Curry @agentcurry]

Happy #MLKDay

Did you know King won the Nobel Peace Prize for nonviolent racial equality?

His life was dedicated to peace, unity and fairness. Definitely something to reflect on this year!

#mlk #MLKDay2021

[David Curry @agentcurry]

I'm building a #datascience and #ai community.

The goal is to create an online space to share, engage and learn from each other. Join here: https://t.co/IBIYqHq9fA

#machinelearning

[David Curry @agentcurry]

My #DataScience podcast list:

- This Week In Machine Learning (https://t.co/ErmLNYw1Cp)

- Data Skeptic (https://t.co/rr2OUXPbm0)

- Lex Fridman Podcast (https://t.co/kfrvgVfF0Q)

What's on your podcast list?

#machinelearning #AI

[David Curry @agentcurry]

I'm creating a community for data scientists and machine learning engineers to engage, inspire, and build relationships.

We all have something to share that can benefit someone else.

🛎 Join https://t.co/VTo8bOW5mH

#datascience #machinelearning #ai #deeplearning

[David Curry @agentcurry]

Present your data analysis so it's meaningful for stakeholders :

- Outline problem
- Provide context
- Actionable steps
- Specific insights supporting recommendations
- Review next steps, timeline, resources

#datascience #dataanalytics #digitalanalytics #businessintelligence

[David Curry @agentcurry]

A few ways to create a data trust:

1. Communicate data challenges that will affect the outcome.

2. Get the stakeholders' experience.

3. Live presentation the first time new data is shared.

4. Educate on data lifecycle: Analysis > Action > Test

#DataAnalytics #DataScience

[David Curry @agentcurry]

I bought clothes from [Big Brand] on July 4th sale. Every day after I got a sales email, 80% of emails were women's clothes.

Consider #CustomerExperience. Reduce subscription churn and purchase likelihood with basic product personalization and sales frequency.

#analytics

[David Curry @agentcurry]

Many dashboards are cluttered or don’t have enough info. to know what’s important.

Consider the following when reporting data:

- What does the audience care about

- Keep it focused

- Use headers/annotations to provide context

- Limit visuals

#DataAnalytics #DataScience

[David Curry @agentcurry]

Start Small -->Think big, pick an objective, and start with the smallest possible deliverable to meet the objective.

This is great for #data projects: gives focus, a quick turnaround raises confidence in the project, and momentum for the next phase.

#DataAnalytics

[David Curry @agentcurry]

It’s easy to get caught up in #data tactics, however, our work should focus on the “big picture” and use data to move closer to the customer world-view (in practice this means: testing messaging, monitoring behavior, measuring satisfaction, etc).

#measure #dataanalytics

[David Curry @agentcurry]

#Outdoor #inspiration…

Took me a while to realize the outdoors gives me joy. Hiking, running, camping, anything that gets me into nature is rejuvenating and fuels my creativity. Now I'm working outside, best of both worlds!!

Find your inspiration and make it a lifestyle.

[David Curry @agentcurry]

Tie-in business value with data:

Apparel - Kohl's uses analytics for smartphone targeting

Tech - Amazon can ship before you buy

Media - Netflix uses metadata to create relevant content

What's common -> customer #personalization (the value add)


#BusinessAnalytics

[David Curry @agentcurry]

Applying #dataanalytics with #marketing …

Start with a goal and ask questions where data is useful to support the goal.

- Goals depend on the type of business, marketing activities, and priorities

- Data questions depend on if data can be captured to help answer the question

[David Curry @agentcurry]

#Retail #emailmarketing can lose customers: 

I left the store excited with 2 new suits. Got home and had a sales email with the item I just bought and 3 more sales over the next 2 days. I unsubscribed!

Retailers! segment customers so everyone doesn't get the same emails.

[David Curry @agentcurry]

Gain confidence in #marketing decisions with #analytics:

1. Analytics enables marketers to test their intuitions.

2. Analytics insights confirm or change assumptions.

3. Marketing decisions are informed by combining team intuition and data confirmation.

#dataanalytics

[David Curry @agentcurry]

31% of #marketers say they have too much data

The Answer?

- Start with a specific question, use the simplest data to answer 

- Create feedback loop between data, insights, and action

- Repeat with a new question or build on the existing one

#dataanalytics

[David Curry @agentcurry]

A few benefits to having a dedicated Data Team:

1. No single department owns data
2. Easier data governance
3. Reduces conflicting information
Customized reports for specific teams

#DataAnalytics #DataScience #businessanalytics #BusinessIntelligence

[David Curry @agentcurry]

Takeaways from #CMO Survey:

- Growth is top marketing spend at 54%
- Marketing #analytics spend expected to increase by 56%
- #Customerexperience spend increased by 71% over 3 years.
- Marketing budget as a percent of the company budget steady at 11%

https://t.co/iXT6vlVGCM