Mark Donatelli
Founder at Hive Strategy Co.

Data Geniuses

Mark Donatelli is a serious data guy who sees data and data strategy through the lens of business growth. Currently running Hive Strategy, which he also founded, he helps companies create actionable roadmaps to navigate complex data challenges. Over the years he has worked on some extremely interesting data-driven transformation engagements, and has advised major players in the industry on market trends, growth planning, data strategy and data product management.

His first foray into heavy duty data was via the Army during the Gulf War period, working in military intelligence from 1991 to 1998, supporting electronic warfare systems and platforms. As a result he found himself at the intersection of data, people, process, and technology in support of intelligence collection, preparation (translation, transcription) and decision support analysis to drive real world tactics and strategy. At the time, this was some of the most sophisticated hardware in the world, processing intelligence streams from wide and varied sources globally, in multiple formats and languages.

He then worked in IT companies, quickly rising to the CIO role with a large wholesale paper merchant, modernizing everything to do with their systems and data. Next was a stint in consulting, again in technology and CRM tools and workflow, delivering productivity solutions to mid-market and SMB clients. Later he joined AccuData, and soon got nabbed by data behemoth Acxiom, as a Product Manager for a SaaS data delivery platform, and in their global data sourcing and commercialization team, acquiring data for Acxiom products and clients across 85 different countries. He finished his time there as a Principal in the Acxiom consulting business working on data strategy.

He successfully ran his own data consulting firm, Science of Bacon, for 3 years, and was recruited to join his former colleague who had just become Ogilvy’s first Chief Data Officer, ultimately joining as the Global Head, Data Strategy and Planning for the agency and its clients.

There he spent two years working on data strategy for some huge, blue chip clients, including T-Mobile, Showtime, UPS, and IBM, diligently working to inject a disciplined data approach into their account teams’ planning, execution, and analytics work, as well as providing the clients with subject matter expertise on how data can be leveraged to drive results and did something similar at VML (now collectively VMLY&R), supporting the fast-changing world of omnichannel planning, engagement and measurement for multiple Y&R and VML agencies and for clients like Gatorade, Express, and Electrolux/Frigidaire.

Prior to founding his new firm, Hive Strategy, he built an in-depth Data Strategy Framework, a tool he deployed as a managing director at Winterberry Group, helping as always to guide mid sized and very large companies through their data strategy and implementation.

He founded Hive Strategy because he has seen the same difficulties and opportunities that small and large companies face over and over, and he wanted to develop a system for answering these challenges, both consistently and rigorously. Hive Strategy is the culmination of these many data-centric issues, and is meant to focus on the outcomes of the proprietary methodologies he has developed to address omnichannel capability planning and acceleration of data and platform products.

The intersection of data, technology and customer engagement is where he thrives, and there’s no shortage of need for experienced practitioners like Mark to help even the biggest companies with their objectives. Mark is only in the middle of his career at this point though, so we can safely say that his Data Genius-ness is definitely still evolving.

To connect with Mark, you can reach him at:
http://hivestrategy.co
https://www.linkedin.com/in/markdonatelli/
email: mark@hivestrategy.co

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Mark Donatelli
Founder at Hive Strategy Co.

“He founded Hive Strategy because he has seen the same difficulties and opportunities that small and large companies face over and over, and he wanted to develop a system for answering these challenges, both consistently and rigorously”

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