Skip to content

The Future of Data Teams: Human, Hybrid, or HAL 9000?

You glance at your org chart: data engineers holding pipelines together with duct tape, analysts drowning in one-off asks, and a lone ML ops specialist clinging to the last thread of model uptime. Meanwhile, a cheerful GenAI chatbot promises to “summarize any dataset in seconds.”

You could slash the team, buy licenses, and hope for the best. Or dig in and defend the headcount, risking the label of pre-AI relic. Neither choice screams “career longevity.”

But here’s what you should be asking:

What do we want humans to own? What can we safely automate? And how do we design a team for a future that keeps shifting?

Replacing people with machines isn’t the goal. AI gives you the opportunity to redesign how human judgment scales. Before someone else does it for you.

Why Now?

Even just a year ago, GenAI could still be viewed as a novelty demo. Today, it’s a line item on your competitor’s roadmap. Shadow AI is already creeping into workflows via unvetted tools. Compliance risk is rising. Your smartest people are experimenting (without telling IT).

Meanwhile, budget season is upon us. And someone in finance is asking, “Can’t we do all this with fewer people now?”

This isn’t task automation. This is a strategic reallocation of cognitive effort. We automate the work of synthesis and translation so we can amplify the human work of true discovery and strategic reasoning. That’s corporate board-speak for, “We use AI to do the grunt work (e.g., summarizing, rewording, connecting dots) so humans can spend their brainpower on the big stuff.”

The cost of inaction: AI adoption decisions made outside your org. Talent drain when high-performers see no path forward. Siloed AI churning out impressive-sounding nonsense.

And the myths won’t help:

  • “GenAI can replace the analysts.” Not really. It’s great at clear-cut tasks. But when the problem’s fuzzy or new? That still takes a person.
  • “We just need a full-stack unicorn.” Last I checked, burnout wasn’t a business model.
  • “No-code plug-and-play software means no more data engineering.” Sure, if your idea of self-service is pretty dashboards built on dirty data and no context.

It’s time to get organized before someone upstairs decides to reorganize, if you catch my drift.

We Need Humans for Divergent Thinking

Let’s talk Introduction to Psychology. We need to understand how people think about things, how they look at the world, and how they solve problems. The distinction between convergent and divergent tasks is a core concept in psychology and creativity, and it’s now critically important for designing data teams in the age of AI.

Convergent Thinking is about finding a single, correct, or established answer to a well-defined problem. It’s logical, systematic, and involves applying known rules and knowledge.

Divergent Thinking is about generating many different options, ideas, or solutions for a problem that is often ambiguous or has no single “right” answer. It’s creative, exploratory, and spontaneous.

Convergent ThinkingDivergent Thinking
Solve, classify, define Imagine, brainstorm, hypothesize
One correct answerMany possible ideas
Works with clear constraintsThrives in ambiguity
Follows known rulesBreaks or rewrites the rules

Examples:

  • Calculate Q2 churn rate → Convergent
  • Brainstorm reasons churn spiked → Divergent
  • Write code to return lifetime value → Convergent
  • Design a new customer analytics platform → Divergent

AI excels at convergence. It summarizes, translates, classifies, and codes at scale. But the spark—the strategy, the novel “what if”—still requires a human.

Here’s what humans do better:

  • Frame the problem. Decide what’s worth analyzing.
  • Pose the hypothesis. Come up with the “why.”
  • Make the leap. Link insight to a real-world business action.
  • Navigate ambiguity. Choose a direction when there’s no map.

The best model is a loop: A human defines the problem → AI handles the convergent analysis → a human interprets and acts on the result. That’s the hybrid advantage.

Why Can’t AI Handle the Divergent Tasks?

AI is built from a massive collection of human-generated work. AI learns to predict the most likely next word, a convergent task, as opposed to predicting a completely novel and unexpected way to finish a sentence.

Psychologists often rely on a framework called the Big Five personality traits: Openness (to new experience), Conscientiousness, Extraversion, Agreeableness, and Neuroticism (e.g., anxiety, self-doubt).

Openness to new experiences has a proven link to divergent thinking, but not convergent thinking, which makes sense. And humans can have new experiences while AI can’t.

On the flip side, conscientiousness has a negative connection to divergent thinking and positive correlation to convergent thinking. Generative AI systems are built to be conscientious… precise, rule-following, and helpful.

Give AI the tasks it handles best… and give humans the ones where they still outperform. And, yes, I do have a framework to help you do that!

The R.A.I.S.E. Framework: Future-Proof Your Data Org

Here’s the framework that keeps your team ahead without getting ejected out the airlock: R.A.I.S.E.

  • Reskill
  • Automate
  • Integrate
  • Specialize
  • Evaluate

Each pillar connects to real-world decisions, budget needs, and KPIs… because strategy without execution is just a TED Talk.

Reskill: Humans Don’t Vanish. Their Tasks Evolve

DecisionsInvestmentMeasurementActions
Which roles get copilots? Which get technical upskilling?Internal “AI guilds,” hands-on workshops, dedicated time for tool experimentation% of team trained on key tools

Average turnaround time per task
Map task types to automation potential

Launch a skills heatmap to guide L&D

Pair analysts with prompt engineers

This isn’t just skilling up. The goal is offloading low-value cognition so humans can focus on causal inference, strategic synthesis, and hypothesis generation.

Automate: Target Tasks, Not Titles

DecisionsInvestmentMeasurementActions
Which repeatable workflows (QA, documentation, summary generation) are ready for automation?Prompt libraries, secure AI platforms, audit toolsHours saved per analyst/month

Pre/post error rates in automated deliverables

% of workflows with human-in-the-loop guardrails
Run a “task inventory” across teams

Pilot a report-writing bot with QA sign-off

Track rework rates before full rollout

GenAI is great at “convergent” tasks like pattern recognition, translation, and summarization. Humans still own abstraction, ambiguity, and the leap from “what happened” to “what now?”

Integrate: AI Into Workflows, Not on Top of Them

DecisionsInvestmentMeasurementActions
Where in the data lifecycle does GenAI drive actual leverage?API integrations, model monitoring, workflow orchestrationAdoption of AI-augmented tools

SLA adherence for AI-supported outputs
Embed copilots directly into tools analysts already use

Require AI output to pass through existing QA protocols

Monitor stakeholder trust quantitatively

Bake it in. The team barely even realizes GenAI is helping. For example, instead of alt-tabbing between Excel and ChatGPT, they get inline suggestions in their BI tool.

Specialize: Kill the Unicorn. Build the Squad

DecisionsInvestmentMeasurementActions
Which niche roles create leverage now (e.g., ML ops, data PMs, prompt engineers)?Clear job architecture, role definitions, internal mobilityTime to fill open roles

Analyst retention in high-burnout positions  
Rewrite job postings to reflect real scope (not wish lists)

Create “data product” owner roles to bridge tech and strategy

Use skills assessments to drive project staffing

Specialists don’t slow you down; they make your generalists faster and your output more reliable.

Evaluate: Stress-Test Org Design Like It’s Q4 Every Quarter

DecisionsInvestmentMeasurementActions
When and how to revisit your org and tooling assumptions?Org health checks, external capability benchmarksTime-to-Insight (TtI): The elapsed time between a stakeholder’s business question and a vetted, actionable recommendation

% of projects delivered with clear business ownership

Satisfaction gap between data team and business stakeholders
Schedule quarterly R.A.I.S.E. reviews

Benchmark your team’s capability mix vs. industry peers

Survey stakeholders for clarity on ownership and value

Quarterly evaluation ensures your AI copilots remain helpful partners and don’t evolve into a HAL 9000: confidently wrong and locking humans out of the loop.

What Good Looks Like

Here’s what a high-functioning, future-ready data org looks like: Your analysts run point on strategic questions, not just report formatting. The AI copilots handle the grunt work like summarizing, formatting, and even suggesting next steps.

Meanwhile, data PMs triage business requests, ensuring those “quick asks” don’t become giant time sucks. And engineers focus on platform resilience and governance, not ad hoc fixes.

The GenAI is embedded in process, not bolted on.

Yes, it may take some discipline, but it’s not magic. It’s design.

Pitfalls & Pushback: What to Expect (and Say Back)

  • “We’ll just hire prompt engineers.”

That’s an important skill, but their impact is capped by your data foundation. A Formula 1 driver can’t win in a rental car. Invest in both the expert and the engine.

  • “Automation will kill morale.”

Not if the team chooses what to automate. Nobody misses tedious QA logs.

  • “We’re already too late.”

Not at all. But the window is closing.

Start with a 90-day “catch-up plan”:

  • Audit shadow AI usage (it’s happening)
    • Identify 2 quick wins (1 internal, 1 external)
    • Present a rollout plan with metrics, guardrails, and training
  • “AI ownership is political.”

What else is new? So is marketing. So is HR. Do it anyway.

Define your data products. Assign owners. Set SLAs. Ship work.

  • “No-code means no more engineers.”

Actually, it means engineers now build something better: The data products that power self-serve, AI-driven decision-making. They go from dashboard jockeys to “force multipliers” for every analyst in the org.

Final Word

The next time a board member slides that McKinsey deck across the table and asks for HAL 9000, you’ll answer calmly: “We’ve already RAISE’d the team. Humans lead, hybrids scale, and no one’s locked out of the pod bay.”

🧭 Your Executive Checklist

Ask: Which analyst tasks are automation-ready right now?

Champion: A GenAI-aligned reskilling and skills heatmap

Set: A comprehensive AI governance playbook

Build: Specialist roles instead of chasing pretty unicorns

Measure: Time-to-Insight and stakeholder satisfaction

Review: Team structure and AI ROI… every 6 months

For more columns from Michael Bagalman’s Data Science for Decision Makers series, click here (from All Things Innovation) and here (from All Things Insights).

Contributor

  • Michael Bagalman brings a wealth of experience applying data science and analytics to solve complex business challenges. As VP of Business Intelligence and Data Science at STARZ, he leads a team leveraging data to inform decision-making across the organization. Bagalman has previously built and managed analytics teams at Sony Pictures, AT&T, Publicis, and Deutsch. He is passionate about translating cutting-edge techniques into tangible insights executives can act on. Bagalman holds degrees from Harvard and Princeton and teaches marketing analytics at the university level. Through his monthly column, he aims to demystify important data science concepts for leaders seeking to harness analytics to drive growth.

    View all posts

Related Content

Developing an AI Ecosystem  

All Things Insights recently caught up with Christina Speck, Author, Healthcare Fandom, and Doctor of Public Health Candidate at Johns Hopkins Univers…

 
 

More Related Content

A pile of various different types and colors of cogs and gears from a machine.
human intelligence

Developing an AI Ecosystem  

All Things Insights recently caught up with Christina Speck, Author, Healthcare Fandom, and Doctor of Public Health Candidate at Johns Hopkins Univers…

Abstract waves of light in various colors, like sound waves.
human insights

The Next Wave of AI Transformation

AI is radically transforming many industries and businesses, and the insights community has certainly been influenced by this next wave of tech evolut…

A 'Mind the Gap' sign on the floor of subway platform.
insights leadership

Closing the AI Fluency Gap

It could be said that the phrase “from fear to fluency” holds true for the market research community during the last few years. As artificial intellig…

AI robotic hand and human hand shaking as in a business partnership.
data science

Choosing the Right AI Partnership

Searching for the right artificial intelligence partner for insights can be an overwhelming task. The number of solutions offered is rapidly growing,…

Old fashioned desk and tools like a chest, map, compass, globe, journal like from a ship.
stakeholder engagement

Maximizing Impact with Minimal Resources

As a market researcher, you are often tasked with “doing more with less” while still making an impact with stakeholders. This involves maximizing your…

Four colorful game pieces standing in a row.
automating workflows

Connecting AI Agents to Insights Frameworks

Artificial intelligence is already rapidly evolving in the world of insights, and agentic AI seems to be the latest movement in that evolution. If AI…

Angular image of paper, pencils, rulers and erasers in black or white.
artificial intelligence

Measuring Data Science Skills

In today’s environment, the entry-level data science job market in 2025 is more competitive amid a changing landscape. The developments in AI have qui…

A female data engineer, with screens of data covering her face, overwhelmed.
artificial intelligence

Gaining a Data Science Advantage

Data is driving today’s modern enterprise forward and the speed of technological development is only increasing the pace. What once took a two- or thr…

A brain's neuron network signifying connections.
artificial intelligence

AI Analytics Transforming Innovation

Artificial intelligence used to be a concept only seen in the movies or the latest futuristic science-fiction novel. Now, leveraging artificial intell…

Colorful laser beams moving off and up into the distance.
artificial intelligence

Data, Analytics, and AI: New Frontiers

In today’s data-driven world, understanding and leveraging data, analytics, and artificial intelligence (AI) is crucial for organizations across all s…

A large array of pipelines in an industrial complex, moving into the distance.
insights innovation

Strengthening Data-Innovation Partnerships

Today’s data environment entails a great deal of complexity, and this is only growing as the volume of data increases for organizations. Big Data is n…

A colorful jumble of big Duplo Lego blocks.
data governance

From Experiment to Enterprise: Scaling Up AI

The state of artificial intelligence today is one of advancement, new technological innovations and developments, and a rapid pace of change. Yet, the…

Big data words in the background, with data points in the center.
data science

Harnessing the Power of Data for Innovation

Bringing data science and insights to the innovation arena is crucial in today’s fast-paced environment. Innovation managers now have the opportunity,…

A futuristic moon/ocean/space scape.
insights discipline management

Searching for Deeper Insights

Insights roles and careers are evolving at a rapid pace in today’s marketplace, from the changing mindset of the consumer to advances in technology su…

A team of white water rafters cheering, holding up their oars.
insights discipline management

Mastering Insights Discipline Management

Insights discipline management encompasses the strategies, processes, and structures an organization puts in place to effectively generate, analyze, d…

Two signposts pointing in different directions.
consumer insights

Insights Guiding Innovation Directions

Consumer insights are like a compass and a guiding light for innovative directions across a broad range of industries, from advertising agencies to co…

A commuter train leaving the station.
consumer insights

Identifying Emerging Insights Strategy Trends

In All Things Insights’ latest series focusing on insights strategy, we have examined the foundational principles surrounding the topic, delved into b…

Stained glass window in an interesting data like pattern (round).
artificial intelligence

Exploring the Value of the Insights Capability

As All Things Insights continues to focus on insights strategy, there seems to be much more to explore. We have spoken with thought leaders in the spa…

The inside of a soaring arching white roof, showing a lot of beams space and light.
insights strategy

Building an Insights Strategy

Insights strategy is not a static process, but instead is a capability that is always living, breathing and evolving as the business itself evolves. T…

A needle in a literal haystack!
market insights

Finding an Insights Strategy

An insights strategy is a comprehensive plan that outlines how an organization will leverage insights to drive business decisions and achieve strategi…

Thumbs up or thumbs down on a variety of customer service questions like quality, reliability, etc.
innovation

Driving Innovation and Consumer Loyalty

TMRE 2024’s day two, track three brought a fresh take on how brands are navigating the evolving landscape of consumer insights. Sessions explored leve…

A 'robot' data-like hand shaking the hand of businessperson.
data science

The AI-Enhanced Research Revolution

At TMRE 2024, the AI Summit spotlight was on how companies can adapt to the ever-changing landscape of AI-powered research while still staying grounde…

Colorful sharpened pencils in a range of colors in a row.
data science

Sharpening Insights Best Practices

The overarching theme of the Insights Best Practices track at TMRE 2024 was the evolving landscape of insights, driven by technological advancements,…

A human hand and a robot hand, both touching a virtual display screen.
future of insights

Activating the Future of Insights

All Things Insights held a special panel at TMRE 2024 featuring commentary centered on our Future of Insights Report. With the market research communi…

A large road sign that points to Data, information, knowledge, and learning.
insights leadership

TMRE 2024 Report: Leading Through Change

A resilient market research community came together at Universal’s Loews Sapphire Falls Resort in Orlando, FL, this past December for TMRE 2024. It ma…

Champagne glasses and confetti, celebrating new years.
sustainability

Top Insights Themes from 2024

As we close out our review of 2024, we wanted to examine the top insights themes of the year, based on our blogs, research reports and events that we…

A colorful butterfly resting on a rippling body of water.
media insights

Transforming Insights: A Review of Q4 2024

During the fourth quarter of 2024, All Things Insights prepared for coverage of TMRE 2024 and featured a wide range of insights related topics and int…

Curved glass side of building, one window is lit up.
insights strategy

Leveraging Insights: A Review of Q3 2024

During the third quarter of 2024, All Things Insights featured a wide range of insights related topics and interviews for our community of market rese…

Abstract swirls of light and colors on a black background.
insights strategy

Navigating Insights: A Review of Q1 2024

During the first quarter of 2024, after wrapping up the TMRE 2023 edition the past October, All Things Insights was gearing up for a year filled with…

Fast streams of light moving off into the distance in the darkness of space.
media insights

The Future of FAST: The Role of Measurement

Free Ad-Supported Streaming Television (FAST) channels have disrupted the traditional television landscape, offering viewers a vast array of content w…

Kind of futuristic graphic, streams of data moving off into the distance.
synthetic data

Evaluating the Use of Synthetic Data

This year’s recent “Road to TMRE” virtual event featured an insightful panel on, “Consumer Intelligence vs. Artificial Intelligence: The Showdown of t…

Business person holding a tablet with virtual data rising up out of it.
actionable insights

Unlocking the Power of AI for Media Insights

Artificial intelligence is rapidly transforming the media industry, offering unprecedented opportunities for deeper, more actionable insights into aud…

Binary numbers moving into the distance in black space.
synthetic data

Weighing the Potential of Synthetic Data

With advancements in artificial intelligence and other emerging technologies, the questions swirling around synthetic data continue to grow in the ins…

Futuristic, walls of data coursing through space.
data science

Exploring Synthetic Data Applications

Synthetic data, a type of artificial data generated through algorithms rather than real-world interactions, is rapidly gaining traction in various ind…

Hand with remote control facing TV with a lot of choices on screen.
artificial intelligence

Redefining How We Discover Content

The media discovery landscape has undergone a dramatic transformation in recent years, driven by technological advancements, changing consumer behavio…

Robot hand and human hand touching with strand of DNA in between, futuristic.
activating intelligence

Exploring the Evolution of Insights

With the market research community currently reaching a key inflection point focused on AI and human insights, All Things Insights has released its “F…

Future-like image showing head with circuits symbolizing artificial intelligence.
data quality

Leveraging AI in Market Research

This year’s “Road to TMRE” virtual event featured a range of sessions related to artificial intelligence and how best to leverage the technology in ma…

scuba diver in water with equipment, searching for something.
predictive analytics

Searching for Emerging Market Research Trends

Consumer behavior is an ever-evolving field, and market research is particularly suited to explore the changing dynamics behind understanding the cons…

Hands holding a director's clapper, about to say Action!
analytics

Directing Insights Action

In the competitive world of consumer-packaged goods, data analytics and insights are essential for brands to stay on top of their game. While retailer…

Man sitting down, holding and spinning a small globe.
insights career

Find New Insights Career Opportunities

Science, technology and innovation are accelerating at a rapid pace in today’s marketplace. Machine learning, generative artificial intelligence, pred…

A round pizza cut into slices, one bite taken out of one slice.
data storytelling

Activating Insights Leadership

Insights leaders are facing new challenges and demands from their organizations. With the rapid growth of artificial intelligence, and the influx of B…

Robotic hand holding a light bulb shaped points of light rising up into the sky.
machine learning

The Fusion of AI and Market Research

Market research has traditionally been a hands-on task that is time consuming and resource-intensive, from generating data collection to holding in-pe…

Young girl outside blowing bubbles.
generation alpha

Staying on the Pulse of the Youth Market

Children and young people have their own unique perspectives on products and services. In gaining qualitative market research from these demographics,…

innovation

Leading with Human-Centric Insights

As technology rapidly changes the world around us, such as the growth of artificial intelligence, there is a counterpoint to this evolution: A focus o…

Woman gazing at open window.
artificial intelligence

Exploring the Meaning of Human Insights

If you are looking for ways to enhance the user experience of a product or service, digital or otherwise, tapping into human insight is essential to t…

Happy family of four and dog walking on the beach by the ocean.
consumer empathy

Building Empathy to Improve Insights

While customer centricity is a key attribute in today’s insights and data-driven corporate culture, success must also be built on a concept of empathy…

Reaching into a full tool kit on the ground.
agile research

Putting Together DIY Research Solutions

It seems that whether the economy is surging or stagnant, the emphasis on do-it-yourself market research has remained a relatively strong attribute in…

Many colored arrows pointing to the center of the graphic.
insights value

Driving Analytics & Insights Action

At this year’s TMRE @ Home, Shivani Shah, National Category & Shopper Insights Manager, H&WB, Church & Dwight Co., Inc., presented the session, “Data…

Vortex-like laser images in space like setting.
data science

Finding the Right AI Research Opportunities

As part of the AI & Tech Summit portion of this year’s TMRE @ Home virtual gathering, David Iudica, SVP, Research and Insights: Retail and Wealth, Cit…

Kids sliding down a big water slide on rafts.
purchasing experience

Mastering Funnel Analytics

Funnel analytics is an area of insights that perhaps doesn’t get as much attention as it should. We are all probably familiar with the sales and marke…

A surface of cubes with a variety of rising cubes, one stands out in a different color.
B2B market research

Leveraging AI in B2B Respondent Insights

In the B2B marketing landscape, artificial intelligence has shown great potential. It is becoming an essential and advantageous tool, a tool which no…

Book with pages flying open.
insights soft skills

Learning the Soft Skills of Market Research

Skills can be developed in a variety of ways in the insights workplace to create an effective, versatile employee with a diverse arsenal of competenci…

boxing glove punching
media entertainment

Powering Subscriber Acquisition

The streaming business is a fluid, changing landscape. To gain some insights into the category, All Things Insights’ Seth Adler spoke with Beau Decker…

Gold bars
business value

Determining the Value of Business Content

Michael Bagalman, Vice President, Business Intelligence and Data Science, STARZ, gave a presentation at the Media Insights & Engagement Conference, ca…

business intelligence

Reinforcing Insights Through Data Engineering

The world of data is always expanding, and with it the need to capture insights. Understanding what stories the data can tell is not always evident at…

data democratization

Defining Governance to Deliver Data Benefits

Big data is here, it’s a growing trend and it’s not going away anytime soon. The rise of artificial intelligence and other technological developments…

insight generation

Turning Data into Market Intelligence

When surveying a new market opportunity, the company’s market intelligence efforts come into play. This valuable data helps determine market segmentat…

insights ROI

Diving Deeper into Insights ROI

The third day of TMRE@Home, May 2, will demonstrate best practices involved in developing and positioning insights ROI. Fusing AI, data and analytics…

business intelligence

Blending Analytics & Insights

The second day of TMRE@Home, May 1, will demonstrate best practices involved in marrying analytics with insights. Insights from analytics can be an ev…

data science

Plugging into the Future With AI

TMRE@Home is going to be held virtually this year from April 30 to May 2, 2024, and it will feature several educational tracks for insights and market…

data science

Building the Analytics & Insights Ecosystem

The recent TMRE Continued virtual event hosted a session, “Blending Analytics & Insights to Drive Business Outcomes.” Moderated by All Things Insights…

artificial intelligence

Operationalizing a Hybrid Approach to AI

In “Insights + AI: Operationalizing A Hybrid Approach,” Christina Speck, Vice President, Corporate Strategy & Commercial Product, Blue Cross & Blue Sh…

artificial intelligence

Finding the Right Machine Learning Formula

In “Machine Learning: Optimizing Ad Campaigns,” Michael Bagalman, Vice President, Business Intelligence and Data Science, STARZ, explored machine lear…

artificial intelligence

Exploring User Community Perceptions of AI

Max Wartel, Director of Consumer Insights, Fandom, held an AI-related session at TMRE, which focused on the perceptions of AI in a user-generated comm…

disruption

Leading Insights Through Change

Elizabeth Oates, Vice President, Consumer Insights, Ulta Beauty, spoke at TMRE at two sessions: “Leading High-Performance Insights Teams Through Chang…

Data Science & Analytics Strategy
data measurement

Reinventing the Data Relationship

The reinvention of the relationship between enterprise data science and business stakeholders is upon us. The focus is now on what the data can do for…

data measurement

Diving Deeper into Measuring Insights ROI

If you can measure it, you can manage it. Insights leaders came together on this panel discussion on “Measuring Insights ROI” to share their respectiv…

insights ROI

Demystifying Insights ROI

Key challenges come into translating business insights into ROI. This includes data quality, research bias, no direct translation of insights into bus…

business strategy

Establishing Insights ROI

In a recent ATI Gathering…Insights ROI, the community looked at the complex issue of insights return on investment from several different angles. Co…

data science

Unifying Data Analytics and Insights

To be human or not to be human? That is a relevant question in today’s technology-driven society, and one we posed when thinking about unifying data a…

data driven culture

Gaining Insights Leadership

The role of today’s Insights professional is evolving as Insights teams are increasingly pressured to connect data sources, surface consumer stories a…

data science

Measuring OTA Programming

Television audience measurement is on the precipice of innovation due to the opportunity to leverage data from set top boxes, smart TV’s, and other so…

strategic insights

Building Strategic Insights

The world of data is evolving and ever-changing. A data insights strategy is built in part on the potential data that one hopes to accumulate, the ins…

foresights

Using Insights to Predict the Future

A key component of any marketing strategy is to think about and plan for the future. Despite constant macro and micro disruption, marketers can still…

data analysis

Translating Data Into Action

“Data is the new oil,” and it seems like everyone wants to get a piece. But what is it that most major companies are missing when it comes to harnessi…

data fluency

Interpreting Data

Data isn’t just a set of numbers in a spreadsheet that sits there collecting digital dust. Michael Nevksi, the Director of Global Insights at Visa, no…

data analytics

Data Fluency

Data fluency and how it applies to an organization is essential for a business to thrive – according to Bob Bress, Vice President and Head of Data S…

data driven culture

Digestible Insights

Business founders and leaders are proud of their accomplishments and with good reason. They have led their operations, often for decades and through s…

insights strategy

Timely Insights

“May you live in interesting times.” We are all familiar with this curse (or blessing, depending on how you see it). Many of us even know it as Chines…

insights strategy

Insights Enablers

Over the past two and a half years, there “have been more DIY projects” thus “Insights teams are moving more to becoming consultants and enablers fro…

data analytics

Pandemic Analytics Insights

It is reported that after the pandemic that 50% more customers and teams will use Business Intelligence tools. “Adapting, moving online, and having a…

actionable insights

Data, Analytics, Insights & Action

If you watch June Dershewitz when she’s not looking, you might catch sight of her cape. She is a superhero in the world of data. Her goal is to make t…

inclusion

One Way To Insights ROI

“It’s not only a ‘feel good’ thing anymore. It is actually something that is reflected in profits.” DEI is a business issue. Once nice to have, the co…

disruption

Insights On Outpacing Further Disruption

The axiom, ‘May you live in interesting times,’ is cited as both an expression as well as a curse. Its origin is foggy. For the past couple of decades…

data science

UX Insights

Shilpi Sinha is not only speaking at TMRE but joining the pre-event Innovating Insights Workshop as a table co-host. Both the session on the agenda an…

data driven culture

Data Culture

Global society and business continues to shift from decisions informing data to data informing decisions. That is to say, for most of human history, a…

market research

Insights Resilience

Way back at the beginning of our modern almost apocalypse, there was one term used across the globe and up and down the organization- resilience. Faci…

media insights

Measurement, Currency and Attribution

Keeping pace with innovation is always a challenge. The Media industry not only has to keep pace with that innovation, many players have offerings tha…

consumer

The Missing Link Between Data And Business

2022 has proven to be a year of change. While lingering reminders persist, the past two years are falling further and further back in the rear view mi…