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Who should be the overall owner (with an ultimate responsibility) of the Analytics in the organisation?

3
Closing Date: 10 November 14
Started on: 02 October 14
Participants: 3
Years ago, one department, often marketing needed support of Analytics. Now, as predictive Analytics becomes more common, many other departments have hired professionals to support their Analytics' needs. Invariably there are standalone and disjointed groups with the organisation. Moreover, many gurus are talking about operational Analytics. Challenging questions therefore, are: should organisations continue to have these distributed silos? How will they derive the desired benefits in line with the organisational needs? Should they have centralised team responsible for Analytics? Or should they have hybrid model (of centralised and distributed teams) under a leadership of say Chief Analytics Officer (CAO) or CIO having a support of management to strategise & execute?
Years ago, one department, often marketing needed support of Analytics. Now, as predictive Analytics becomes more common, many other departments have hired professionals to support their Analytics' needs. Invariably there are standalone and disjointed groups with the organisation. Moreover, many gurus are talking about operational Analytics. Challenging questions therefore, are: should organisations continue to have these distributed silos? How will they derive the desired benefits in line with the organisational needs? Should they have centralised team responsible for Analytics? Or should they have hybrid model (of centralised and distributed teams) under a leadership of say Chief Analytics Officer (CAO) or CIO having a support of management to strategise & execute?

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Jit
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3 Suggestions

  1. 21 October 14
    1

    Different industries and organization will be at different level of analytical maturity. Surely we cannot imagine one solution fit all here. Analytics is but a technique to help understand business nuances better. It does not per sey deliver a business result but it helps decision makers make smarter and informed decisions. In future with AI and M2M becoming popular it will be possible for decision and adaptations to be done by analytical models. However for now lets focus on immediate needs. Having said one size does not fit all, lets look at most optimum implementation of analytics. More than logic there are aspects of human psychology which are important to understand.

    Analytics thrives on data, data that should be as varied as possible, should come from multiple sources and should belong to as long a time period as possible. If we are able to connect variety of databases of an organization with external databases of social media, public information, reserach databases etc, any business problem will be analyzed in much more insightful way. While the problem may belong to any one department like service, marketing or finance an integrated data helps all. Enterprise Data Warehouses are on their way out but Hadoop kind of not-relational database structures are in. Even when data is not at one place, designing extractions from various touch points is no longer as challenging.

    More than processing of data, analytics is more about applying insights to business issue. This necessasiates the function to be lead by busines people rather than technoocrates. We have developed a concept of ACE (Analytics Center of Excellence) which is scalable, "intel-inside" approach, owned and driven by a business person of any organization. Investments are minimized by capitalizing on skills, tools and models of Ananto. It furthers far greater acceptence in the organization and makes itself embeded fairly quickly. I think this is one way to speed up progress along the maturity curve.

  2. 06 October 14
    2

    @rajnish.kohli: does it mean, Centre of Excellence or even CEO supporting distributed teams may be the solution?

    I received a private message, which am copying/pasting - "The ultimate responsibility lies with CEO and Board of the organisation. Having said that the organisation management team is equally responsible for the analytics and the decisions made by them and their teams. In general most of the departments are tightly coupled for the work flow and a single unit analytics and decisions could impact negatively to others and it does not help overall organisational goal of productivity, profitability and efficiency."

  3. 05 October 14
    1

    Some has to drive it across the organisation. Title really may not matter but the role & reporting will. If say VP Analytics or CAO reports to marketing function then front office customer service may not get a feel of attention. Therefore, a pure distributed approach may not work. What perhaps may work is, to let these distributed teams be focused as per their business needs/analytics needs and someone (or a core team) can support them, to enable them to succeed by ensuring the common thread running through the organisation for larger good. Probably not the best solution.

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