Data in the Headlights: April 2018

Welcome to another issue of Data in the Headlights. In this issue, the exclusive dataset for you is an influencer analysis of the recent RSA Conference. This security conference is one of the largest in the world, and is a who’s who of people in the cybersecurity and technology world. Conferences are one of our favorite sources for identifying influencers. Why? We know everyone at that event, during that period of time, is relevant to a specific niche or vertical. Conference-based influencer lists also help surface rising stars that might otherwise be drowned out in regular searching by the noisiest (but not as influential) voices.

Using machine learning, we explored more than 70,000 tweets using the conference hashtag and identified 883 entities (out of tens of thousands) who were the most talked about. The graphic shows how different handles interact and cluster together:

PDF map of RSAC influencers, 191 KB >>

The spreadsheet below is what you’d hand to your sales, marketing, social media, or customer experience teams/agencies, depending on how you use influencers.

Microsoft Excel file of RSAC influencers, 75 KB >>

Enjoy this dataset. If you have questions about it, or would like us to develop one for your company based on a recent or upcoming industry event, please let us know by hitting reply now.

Missing data is the bane of every industry and profession that aspires to be data-driven. Few things are worse, however, than having data and then having access to the data revoked by a third party. This is the situation that content marketers find themselves in today as social networks restrict more and more access to data about how content is shared. On February 7, 2018, LinkedIn removed its sharing counts, blinding many to the performance of their content on the network.

Trust Insights set out to find alternatives for the missing data. With none commercially available, we instead built a methodology for inferring, or imputing, the missing data using machine learning technology with 98.2% accuracy. After extensive testing and validation with a quarter-million-row dataset, we deployed it to help marketers once again understand how their content performed on LinkedIn.

Click here to watch this short video and grab your copy of the white paper >>

• Understanding Employee Sentiment at Scale With Machine Learning via Trust Insights
• GDPR Resources via Trust Insights
• How Machine Learning Fixed LinkedIn Share Counts via Trust Insights
• IBM THINK 2018: THINK About Your Personal Brand via Trust Insights
• Fighting Dark Data with CEO Katie Lioy via Trust Insights
• Digital Transformation And Disruption: An IBM THINK Talk via Trust Insights

Social Media

• 6261 clicks: Are you ready? This is all the data Facebook and Google have on you via Dylan Curran via Opinion via The Guardian
• 3282 clicks: How Calls for Privacy May Upend Business for Facebook and Google via The New York Times
• 463 clicks: How to Analyze Instagram Stories With Instagram Insights via Social Media Examiner

Tools, Machine Learning, and AI

• 1092 clicks: Ten Machine Learning Algorithms You Should Know to Become a Data Scientist
• 762 clicks: Sizing the potential value of AI and advanced analytics via McKinsey & Company
• 641 clicks: Text Data Preprocessing: A Walkthrough in Python
• 552 clicks: Blockchain Could Turn Video Games Into A Full Time Career via Digital Trends

Analytics, Stats, and Data Science

• 5061 clicks: Why so many data scientists are leaving their jobs via Towards Data Science
• 1966 clicks: Aspiring Data Scientists! Start to learn Statistics with these 6 books!
• 1061 clicks: 25 Open Datasets for Deep Learning Every Data Scientist Must Work With

All Things Marketing

• 3874 clicks: The Campaign Comeback: What to Do When Content Fails via Whiteboard Friday via Moz
• 2618 clicks: Google Is Working on Its Own Blockchain-Related Technology via Bloomberg
• 3079 clicks: Where Clickbait, Linkbait, and Viral Content Fit in SEO Campaigns via Whiteboard Friday via Moz
• 1687 clicks: Google’s Knowledge Graph Identifies your Medical Symptoms via Data Science Central

Upcoming Events

Where can you find us in person?

• Next10x, May 2018, Boston
• Content Marketing World, September 2018, Cleveland
• MarketingProfs B2B Forum, November 2018, San Francisco

Going to a conference we should know about? Reach out: (https://www.trustinsights.ai/contact/)

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Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.