Occasionally new or prospective clients inquire about how we analysts specifically are helping business and technology leaders accelerate and improve their information and analytics related capabilities. Well, as part of Gartner’s new Data Strategy research team, here are just some of the topics that have been keeping me busy researching, speaking on and advising clients:
- Collaborating with clients, economists and accountants on ways to quantify the economic value of information assets, including the development of models and internal balance sheets for reporting on these values. Several clients are using the approaches we have developed to prioritize information management initiatives, business initiatives, data governance/quality efforts, and determining which exogenous data sources to incorporate into their own data streams.
- Identifying dozens of ways to monetize their own information assets, and/or those that can be captured and collected externally
- Developing business cases and guidance on how to become a more infocentric/infosavvy organization
- Developing and coaching on our approach to innovating with information
- Defining how to apply traditional asset management principles and practices (e.g. from financial or material asset management) to the discipline of information asset management
- Researching the economics of information, or what we have coined “infonomics”. This includes a study that that identified how information centric organizations are rewarded significantly by financial markets over and above their peers.
- Helping some of the late adopters appreciate the value, challenges and strategy essentials of Big Data
- Inspiring clients with real-world ideas for innovating with information and analytics, from our growing library of hundreds of cool examples
- Selecting among a variety of organizational and staffing models for data science/data scientists/advanced analytics. And identifying specifically and empirically how the role of the data scientist differs from those of the business intelligence analyst or statistician.
- Expanding the scope of information governance to include the concept of (or even be rebranded as) “information advocacy”
- Comprehensively researching and defining the role of the chief data officer, and providing training and ongoing guidance for new CDOs
- Identifying dozens of key attributes for a high-functioning analytic center of excellence (ACE)
- Ongoing reviews, enhancements and guidance on clients’ data strategy, planning and other related documents
- Researching the state of the marketplace for data brokers — methods and sites for selling or publishing data
- Enumerating the various benefits and risks of open data consumption and publication, and how to go about doing distributing and accessing open data
- Also, I continue to develop and deliver workshops on our Information Maturity Model (guided self-assessment and recommendations), and Information Innovation (generating and testing the feasibility of ideas for innovating with information/analytics).
As information is increasingly recognized as an organization’s most critical and differentiating (yet underutilized) asset, we contend that these are all topics that IT and business leaders should be doing more than just thinking about.
Follow me on Twitter @Doug_Laney
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Category: data-and-analytics-strategies trends-and-predictions
Tags: analytics big-data business-intelligence cdo chief-analytics-officer chief-data-officer data-governance data-management data-strategy economics infonomics information information-governance information-management information-strategy innovation value
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