What Is The Role Of Chief Data Officer's In A World Of Data Utopia?
Andrew Odong
Brand Strategy Leader (ex-Meta, ex-Google) | Creative Director at Nuts About | Content Creator | Community Connoisseur?????
Close your eyes, and imagine a place where information from data lakes cascade seamlessly down the various entrenches of your enterprise infrastructure to service the needs of your internal consumers. Where data captured is already cleansed, accurate and fit for purpose. Your customer information is readily accessible and liberated from the confines of disparate siloes into one, fully integrated data warehouse.
Now I want you to imagine the obstacles holding you back from effective Data Governance, falling like dominoes, paving the way for innovation and the ability to capitalise on robotics, artificial intelligence, machine learning and self-service analytics that’s as intuitive as a Google search. Data science, analytics, management and operations all perfectly aligned with your business strategy and driving value for your organisation. Is this data utopia?
So when I refer to a “data utopia” this is likely to conjure up an array of connotations amongst Chief Data Officer’s and data executives alike, influenced by their own strategic thinking, experiences and organisation’s prime objectives.
The dictionary defines utopia as “an imagined place or state of things in which everything is perfect.” However, perfection is a rather illusive and frivolous concept. So when I refer to a “data utopia” this is likely to conjure up an array of connotations amongst Chief Data Officer’s and data executives alike, influenced by their own strategic thinking, experiences and organisation’s prime objectives. The latter of which, I believe should be the greatest factor in shaping data initiatives as data strategy should be fundamental to optimising business outcomes.
Which brings me back to the notion of data as an asset, which can provide numerous benefits and competitive advantages. However, without a strategic vision to get this asset working to supplement your goals and catalyse further value creation, data runs the risk of becoming a liability.
IBM’s CDO Playbook stated that organisations with a CDO are 1.7 times more likely to have a big data and analytics strategy and most Chief Data Officer’s are in agreement that analytics and data science will form the pillars of an organisation’s journey to becoming truly data-driven. This is emphasised by Fabrice Otano, Chief Data Officer at Accor who told me that “delivering hot analytics, mainly data visualisation based tools and communication” are amongst his key objectives. Gary Goldberg, Chief Data Officer at Mizuho International further cemented the importance of analytics at our CDO Roundtable by stating “The CDO should drive the entire data strategy including Data Analytics work”. He then went on to state that “One of the key challenges for a CDO is to ensure that data is made accessible and easy to use. Users need to be given the tools to extract value from the data”. Hence if CDO’s and their subsequent organisation’s wish to reach data utopia, is data analytics democratisation the holy grail?
Data democratisation is by no means a new concept, however, moving beyond a centralised data function and working towards the ubiquitous use of data analytics across the organisation certainly has it’s benefits, with Gartner’s hype cycle for emerging technologies predicting a plateau of productivity in relation to what they call “citizen data science” and “advanced analytics with self-service delivery” in the next 2 to 5 years.
Although data analytics democratisation does appear attractive Graeme McDermott, Chief Data Officer at Addison Lee explored the pros and cons when asked his thoughts on the impact to business performance and drawbacks, “[Data analytics democratisation] It empowers end users to visualise and ask questions of the data to support business challenges. [Drawbacks] The drop off in numeracy in graduates sees more and more people needing hand holding through the most basic of analysis? I still expect CDO’s to preside over multiple data sources and tools…commercially it won’t always make sense to do the right thing and centralise data with federated access from single tool.”
I had the pleasure of discussing the role of the CDO with Jon Catling,Director of Global Data Architecture at Las Vegas Sands Corp. where he articulated the CDO as “a transient job, one that sooner rather than later must go away. It servers the purpose of enabling the manifestation of a concept.”
Perhaps the idea of data utopia is a na?ve and overly ambitious theory, however, what is important is the very concept which is ultimately what you hope to achieve with perhaps one of your organization’s greatest assets. What does that look like?
As you re-imagine data utopia, does the Chief Data Officer exist at all or are they perhaps the vehicle which allowed the organisation to reach the promised land?
If you wish to learn more and hear directly from Chief Data Officers and data executives as they discuss their perspectives on maturing the enterprise-wide data transformation, join the Chief Data Officer, Europe 2017 taking place in Central London from the 21st to 23rd February 2017. If you wish to get you can email me on: [email protected] or LinkedIn message.
Senior Info/Data Management Professional - Experienced Senior Leader in multiple Data Management disciplines - Data Strategy | Data Governance | Data Protection | Data Privacy
8 年Continuing from my previous comment.... The notion of data democratization for empowering business users to ask their own questions I find largely unrealistic because, IMHO, the vast majority of business people have little idea of their information needs, don't know what the data in various systems means (even if aggregated in a DWH/Data Lake) and don't necessarily have the data and technology competencies combined with curiosity and critical thinking required to extract the value from such systems. I feel that for the vast majority of analytic and big data platforms, there will always need some level of support by members of the IT function or the team that provides the platform to the user community to help said users understand their problems and information needs, and how to combine the data to provide the answers. I wonder what the international cultural influences have on the thoughts for data democratization and self service usage competency is. Thank you for publishing this thought provoking article Andrew.
Senior Info/Data Management Professional - Experienced Senior Leader in multiple Data Management disciplines - Data Strategy | Data Governance | Data Protection | Data Privacy
8 年Hi Andrew, I believe I understand the sentiments that you are trying to get across in this post, though I am unfortunately distracted by a few sections and not in a positive way. Firstly the inclusion of the term Utopia, sort of like the term Unicorn in both recruitment and business valuation. It's unrealistic and will be a downfall of organisations if dreaming of this end goal, rather than a well defined strategically defined end state. Secondly the statement "data lakes cascade seamlessly down the various entrenches ..." that suggests a mental picture. However when's the last time you saw a lake (body of water) cascade down anything? It's water traveling down rivers and creeks that may cascade down anything. Lakes by their water related definition are large bodies of water that is stationary.