Six survival strategies for Chief Data Officers
A successful Chief Data Officer requires the skills of a seasoned high-wire performer — the ability to remain consistently stable and agile. Like high-wire artists, high-performing data and analytics leaders must keep balanced, all the while serving multiple stakeholders, adapting to constant business winds of change and staying current on innovation.
In the rapidly emerging arena of data and analytics, the role of the Chief Data Officer can be one of the most challenging positions within an organisation. These leaders are as diverse as the data they analyse, originating from backgrounds as varied as 25-year veterans of data and analytics organisations to newly emerging graduates from university data science programs.
Gartner has developed six-key survive and thrive strategies that should help Chief Data Officer balance the growing demands of data and analytics.
#1 Communicate the charter
A clear charter includes a simplified vision of what a data-driven organisation looks like in practice, a mission statement of what the organisation does, and a narrative that makes data and analytics real for those who do not necessarily have a data management or quantitative background. Often part of a data and analytics business case, the charter should outline practical business outcomes that clarify intent, scope and focus. Lead by example, and with examples.
#2 Bimodal approach
Designed to address this classic balancing act, Gartner defines a bimodal approach as the practice of managing two separate, coherent modes of IT delivery, one focused on stability and the other on agility. Deliberate management of resources and capacity to serve classic and emerging requirements are vital to a state of balance within a bimodal environment. Team structure should be regularly revisited to support growth and maintenance agendas.
#3 Strategy, roadmap, critical path
For organisations maturing from a business intelligence to an analytics focus, modernising the current business intelligence strategy and roadmap will support the advancement of analytics and data science capabilities. Alignment with the respective information management strategy and roadmap is also vital for an integrated plan that closely monitors interdependencies across critical infrastructure initiatives, especially as architectures shift from classic data warehousing to more logical, virtualised environments.
#4 Quarterly review
The strategy, roadmap and critical path should be reviewed with key stakeholders every quarter. Conducting a regular inventory update maximises resources across the community, while updating the inventory with the same frequency captures the new data sources, use cases, algorithms and tools employed across the community.
#5 Centre of analytics
The Chief Data Officer should become the center of gravity for data and analytics endeavors, whether that is by solving the problems within the immediate team, or by being aware of and broadcasting what is occurring across the data and analytics community. This includes endorsing and facilitating a self-service environment for a widening set of analysts and data scientists across the business, which will broaden impact and lessen the load on the core team.
#6 Form alliances
If certain data management, infrastructure or analytics coverage areas are not within the Chief Data Officer’s direct charter or remit, then the close interlock with IT and other leaders across the business is crucial. The success of any data and analytics initiative depends on the quality, understanding and agility of the data. This becomes particularly critical as the analytics charter starts to require and accommodate a wider ecosystem of data, much of which will be sourced externally from emerging data brokers, social data sources and open data sources.
Chief Data Officer’s need to be prepared to traverse the high wire of their roles with a ready set of tactics to counterbalance the daily winds of change blowing through the business. Coaching and supporting this set of professionals through daily survival strategies, along with savvy change management tactics, are key to growing the next generation of impactful digital business professionals.
Gartner’s Valerie Logan spells out six key initiatives that Chief Data Officers must play out to ride the winds of success.