I think it’s really a must-attend event for CX professionals. I’ve gone to other events in the past and this surpasses all of them.

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Digital transformation demands speed, but bad data kills speed. Gartner estimates the average US company loses $15million/year because of bad data. Finding and fixing the root causes of bad data generated from dozens of sources and moved through hundreds of applications should be a strategic imperative for all enterprises. Why isn’t it?
Bhatnagar thinks the problem of bad data quality is very widespread. The basic question is defining what data is or differentiating it from metadata. To make valid comparisons, it is necessary to make sure the information is apples to apples.
Park said without a good foundation, bad data is inevitable. His goal as an analytics officer is to get the right data where it belongs as quickly as possible.
For HSBC, the domestic US data is not usually the problem. It is trying to integrate all the data across the global bank system that creates the problem because so much of it is siloed. There are different protocols in each country for handling data and they often do not agree on things as fundamental as how often a batch is generated.
We are careful about who we send this key document to. The session notes will be sent based on the request, provided your profile matches our qualification criteria.
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I think it’s really a must-attend event for CX professionals. I’ve gone to other events in the past and this surpasses all of them.
A lot of other conferences I’ve gone to are driven off a podium, someone presenting me a solution before they understand my problem. Here I have an opportunity to talk to my peers and learn from them.
I’m not part of some enormous crowd out there. I’m getting lot of interaction, hearing from people, their own personal stories. Individual examples of how people are leveraging their CX skills in their industry, in their business, in the work that they do everyday.
Very intimate, Very one-on-one! You are able to really get a lot of candid responses, so we’re getting a ton of value from that and a lot of valuable insights.