Big Data or a Big Waste of Time?
If you're trying to extract full value from your legacy data, check out these tips from analytics expert Ted Bissell at the Business Talent Group blog. Read more at http://bit.ly/tedbissell
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Building Data Science Applications: A Q&A With Aaron Barzilai
Independent data scientist and basketball analytics expert Aaron Barzilai discusses best practices for building data science applications.
Building Data Science Teams: A Practical Guide
How can you make sure that your data scientist roles and responsibilities are clearly defined—and your data science team is set up to succeed?
Driving Data Science Adoption: A Q&A With Matt Ahlers
The opportunity is huge. So how can companies drive data science adoption throughout the enterprise? Independent expert Matt Ahlers explains.
How Promising is the Data Science Outlook?
New data science tools and technologies are incredibly promising—and incredibly difficult to put to use at most big companies. Here's how to change that.
Overcoming Data Science Challenges: Expert Panel
Top AI and talent management experts discuss how to find, develop, and retain data science talent—and overcome the most common data science challenges.
Why You Need a Better Data Science Strategy
Most executives see promise in data science. Yet few have been able to develop a data science strategy that delivers real business value. Expert Ted Bissell explains.
Solve Your Analytics Challenges with Freelance Data Scientists
Struggling to articulate what you want or expect to achieve with your data? Freelance data scientists can support every phase of your analytics programs.
Business Talent Group Key Strengths: Digital Talent
Digital disruption has upended nearly every industry. What does it mean for yours? It can be hard to know where to start when you’re exploring solutions that are on the forefront of innovation.
Business Talent Group Key Strengths: Tech
From acquisitions and integrations to project management and product launches, agility is everything in tech.
BTG Key Strengths: Data Science
Transform your analytics and drive better business decisions with a data science consultant.
Implementing AI: A Q&A with Teresa Escrig
Done right, AI can deliver significant business value. Done wrong, it undermines brands and destroy stakeholder trust. AI expert Teresa Escrig explains.
Building a Predictive Analytics Model
The VP of enterprise transformation at a global insurance giant was building a predictive pricing model to better forecast supply and demand for its buyback program. What data and triggers...
6 Ways to Develop Effective Performance Metrics
Measuring performance is an essential part of management, but there are some right ways and wrong ways to think about metrics. When done right, metrics are essential inputs to decision-making,...
Using Data Science to Drive Value: A Q&A With Mohammad Ghassemi
In Business Talent Group's latest Expert Q&A, independent expert Mohammad Ghassemi talks about using data science to drive clear business results.
Driving Data Science Adoption
The global head of R&D Strategy and Operations at a global pharmaceutical company was establishing an enterprise-wide data science council to ensure the successful adoption...
Prioritizing Data Science Projects
The head of innovation at a global CPG giant was trying to understand how to identify and prioritize data science projects in R&D. What areas were poised to deliver the most value, and how could...
What is InsurTech? Six Technologies Disrupting Insurance
The insurance industry has been plagued by slow growth for years—particularly in mature markets like the US and Europe—and has lagged behind the overall economy for a decade. Fortunately, advances...
Implementing a Big Data Strategy Roadmap
The SVP of Strategy at a Bay Area tech company engaged a consulting firm to create a big data strategy roadmap. Once he began to implement it, he realized that his budget was not sufficient to...
Voice of the Customer: Best Practices
Trying to improve your customer experience? Start by listening—to their opinions, goals, concerns, and expectations. The trick, of course, is what comes next. That’s where Voice-of-the-Customer (VOC)
How to Build a Scalable Data Science Strategy