Data Management

Data Management
How are you tackling the challenge of scattered healthcare data?

Top Answer : We're early on. I have high hopes for Fire because it would be the types of information that our labs will have. Patient history is something that Fire lends itself very nicely to. I find it really encouraging that there are so many companies now in the space. The thing that I found most daunting is in the absence of these aggregators, you actually have to connect to all of the systems and basically have an army of project managers. While we have some direct connections, my money is on being able to work with companies that continuously and consistently expand their reach in terms of what type of data they have. Obviously you have to choose a partner that's secure. You want to be able to trust their privacy practices and their security practices above all else. Hopefully they also continue to be successful in growing their reach. Most companies only have control of portions of the United States, and it makes it difficult to ensure that you have reliable match rates. We're hoping that as the ecosystem matures, we'll get improvement there.

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Which data warehouse does your organization use?

Top Answer : We use multiple OLAP repositories and analytics tools.

What do you use for data prepping?

Top Answer :

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Is more data always better?  Are companies collecting an unnecessary amount of consumer data?

Top Answer : The core of a CSO role is effective risk management and risk tolerance: business empowerment and risk tolerance alongside it. And I think if the perception around data is simply “more is better, more is more, the end,” it becomes difficult to have an informed risk tolerance around the acquisition of data. If there's no liability and there's a touring test kind of analog that has to happen in the courts for AI and ultimately the company behind it to be rendered liable, I look at this and I think, "What is legal's responsibility here for the implementation of AI?" And then we as cyber practitioners, if there is no liability behind certain algorithmic implications what then, for the larger status? And how do you form risk tolerance atop that.

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Can CIOs act as the CDOs for organizations today? Or do companies really need a separate CDO who can partner with the business and IT to drive digital transformation?”

Top Answer : First, worth clarifying if we are talking Chief DIGITAL or Chief DATA Officer. In either case, while I used to think that the existence of the CDO meant that the CIO was failing at their jobs, in  today's world, I think the roles are distinctly different, though in the end it really depends on the people.  CDOs as digital officers are really focused on the digital transformation of their companies, and inherently have an external focus.  CDOs as data officers are focused on key information management within the company - optimizing data as an asset.  The CIO at many companies predominantly focused on internal operations, business and user productivity. The skillsets needed and more importantly, the incentives for these objectives are often different.  Intertwining them is possible, but I think in many cases companies are better served by having a separate focus.   All of that is dependent on whom we are talking about both in terms of people and the business.  The people matter even more in this question than anything.  A company with a super strong CIO working for a digitally minded CEO probably doesn't benefit from a CDO nearly as much as an internally focused CIO working in a business with complex operations that has also recently decided to transform the delivery of their products to include more digital delivery would.   So in the end, I think it really depends.

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