2016 Big Data for Media Research Survey
Please take a few minutes to fill out this 7-question Big Data for Media research survey. Please leave your name and contact information so we can send you the 2016 Big Data for Media report, produced by World Newsmedia Network and published by INMA, called "Big Data for Media 2.0: Going Data First." Questions? Contact Martha Stone at mstone@wnmn.org
1. What is the primary form of publishing for the media company you represent?
Newspaper company primarily
Magazine company primarily
Digital media primarily
Broadcast media primarily
Other, please specify
2. When considering your company's business-side Big Data strategy, how far along is your company's progress?
Launched strategy 3-5 years ago
Launched strategy 1-2 years ago
Planning to launch in the next year
Planning to launch in the next two years
No plans to launch Big Data strategy
3. When considering your company's data journalism strategy, how far along is your company's progress?
Launched strategy 3-5 years ago
Launched strategy 1-2 years ago
Planning to launch in the next year
Planning to launch in the next two years
No plans to launch Data journalism strategy
4. What are your company's priorities for Big Data and Data journalism initiatives in the next year?
Rows
Top priority
Medium priority
Low priority
Not applicable
Data journalism department development
Data journalism story development
Audience analytics
Cost-cutting initiatives inspired by Big Data financial analysis
Audience segmentation
Targeted editorial content to segments
Targeted advertising campaigns
Targeted marketing campaigns
Integration of company-owned audience data with third-party data
Sentiment analysis
Product pricing driven by Big Data analysis
Using data to analyse audience on emerging platforms like Snapchat and Instagram
Single sign-on audience registration
Other: Please specify
5. What are your company's priorities for Big Data and Data journalism initiatives in the next 3 to 5 years?
Rows
Top priority
Medium priority
Low priority
Not applicable
Data journalism department development
Data journalism story development
Audience analytics
Cost-cutting initiatives inspired by Big Data financial analysis
Audience segmentation
Targeted editorial content to segments
Targeted advertising campaigns
Targeted marketing campaigns
Integration of company-owned audience data with third-party data
Sentiment analysis
Product pricing driven by Big Data analysis
Using data to analyse audience on emerging platforms like Snapchat and Instagram
Single sign-on audience registration
Other: Please specify
6. What is your company's staffing for Big Data and Data journalism initiatives from 2015 to 2017?
Rows
0
1-10
11-20
21-30
31-40
40+
Data journalists in 2015
Data journalists in 2016
Data journalists in 2017
Data analysts in 2015
Data analysts in 2016
Data analysts in 2017
Data scientists in 2015
Data scientists in 2016
Data scientists in 2017
Data engineers in 2015
Data engineers in 2016
Data engineers in 2017
7. When considering your company's ability to build a successful Big Data operation, how would you characterize your company's innovation culture?
Rows
Strong disagree
Disagree
Neutral
Agree
Strongly agree
Our company has a strong culture of innovation.
Our company allows for experimentation in product development
Our company allows for instances of failure during product development and experimentation
Our company has a strong entrepreneurial spirit
Our company is good at changing or adding business models
Our company is good at changing or adding KPIs (key performance indicators)
Our company has a startup mentality
Our company is good at quickly adding human, technical and/or financial resources to develop products to compete in the marketplace
Other: Please specify
In order to receive free copies of the 2014 and 2015 Big Data for Media reports, please include your contact information:
First Name
Last Name
Phone Number
-
Country and area codes
Phone Number
Title and company
Your title
Company name
City and country
City
Country
E-mail
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