The Innovation Team of a major insurance company was looking to better understand and make use of vehicle (‘smart’ car) data to inform its warranty products and policies. Looking for a data scientist who specialized in translating automotive and emissions data and business impact and applications, the VP of Digital and Innovation reached out to Business Talent Group. BTG provided a vehicle data expert to analyze the data and map out the business implications and new product opportunities.
A major asset management firm acquired a large shopping enterprise but soon realized they had a significant gap in their data strategy. They had a bulk of historical data but needed a specialized...
47:32In this on-demand webinar, we speak with Steve Wunker—Managing Director of New Markets Advisors—about how costovation enables companies to meet, and even exceed, customers’ expectations, cheaply
Data-driven insights are key to flourish in the post-pandemic economy, but it can be challenging to find resources to harness those insights effectively.
A multinational Fortune Global 500 pharmaceutical company in Europe was seeking support to scope and lead IT implementation activities related to data foundation initiatives within the research...
Transform your analytics and drive better business decisions with a data science consultant.
A multinational life science data and analytics company was under new leadership and undergoing a structural transformation to support a new company strategy. Needing someone who could help refine...
A multi-billion-dollar grocer was struggling to fill a full-time Chief Data Officer role (a new position for the company), and this was slowing down its ability to optimize its ecommerce...
The Global Portfolio Management team of an F100 consumer healthcare company was in the midst of developing a portfolio reporting framework when a key team member embarked on parental leave....
An F500 manufacturing company was watching decarbonization trends and wanted to better understand the evolving market and emerging competitors. Looking to tap an expert for a strategy war-gaming...
Experts from BTG and Heidrick & Struggles examine how companies can develop a three-pronged digital talent strategy to ensure they have the digital expertise they need, today and tomorrow.
The Emerging Technology group of a major life insurance company wanted to apply artificial intelligence to improve efficiency across its business and did not know what tools, processes, or...
Top companies are embracing new ways to stay ahead of the digital divide. In this environment, on-demand professionals are becoming an ever-more important source of in-demand data management skills.
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The digital skills gap presents an opportunity to create an integrated, future-focused digital talent strategy that utilizes the right mix of three key talent solutions: permanent hiring, on-demand
Former CTO and COO Bill Sequeira discusses how companies can craft an effective data strategy, tackle the complexities of a large data transformation, and turn data into a core element of the business
In an effort to use data science to identify opportunities, the CIO of a global insurance company found himself needing a data science expert to take a leadership role on several initiatives,...
An F500 biotech company wanted to engage a consultant to work with its medical evidence, research, and innovation team to create and coordinate several projects related to the generation of...
As companies shift focus from triaging operations to long-term strategy, here are the top trends and opportunities to watch in the pandemic recovery phase.
Determining the appropriate level of pricing is integral to any go-to-market strategy. Economist and analytics leader Dimitar Antov offers 4 data-driven ways to get your pricing strategy right.
We asked several digital transformation experts in our talent network to answer some common questions and offer best practices garnered from their on-the-ground experience...
Independent data scientist and basketball analytics expert Aaron Barzilai discusses best practices for building data science applications.
