And grasping the value of product data quality can turn your reputation for responsiveness into a “preferred supplier partner” status with those influential merchandiser teams
I am constantly reminded in working with clients doing data capture that the cost of error is not well understood or dealt with effectively. For example, in one case, a single letter error on a stock certificate (which only costs about a penny to capture correctly) actually cost an organization...
IBM has defined governance as needing to address the following 11 things: Organizational structures Stewardship Policy Value creation Data risk management & compliance Information security & privacy Data architecture Data quality management Classification & metadata Information lifecycle management Audit information, logging & reporting Now let's consider them as they apply to social media: The account could be a personal one - and even if it's an "official" account it may not be that official Same thing - if it's personal there is none and even if it's official there probably isn't much Personal accounts are likely not affected by the policy - assuming there is one It's not always readily apparent what the value of social media is to the organization (see also: email access; desktop computers; telephone....)
When we win new customers who doesn’t want to go public? it’s easy to think in external terms. No doubt the proposal team’s dancing in the end zone. And who’s inspiring them to spike the ball more – the hometown fans or the dejected opponents? However, once that revenue’s booked, opening this...
1 Comment - :) I wrote a blog on whether or not executives care about data quality. http://onforb.es/RiwmQm Best, Dan
Of course, there are a few issues. Data quality, for one (i.e. the indexing problem) and image quality, for another (i.e. poor pictures)
FIT’s mission is to serve as a catalyst in deploying solutions to improve data quality and operational efficiency
Data governance efforts seek to ensure that formal management controls—systems, processes, and accountable employees who are stewards and custodians of the data—are implemented to govern critical data assets to improve data quality and to avoid negative downstream effects of poor data
In the U.S. economy 3.1 trillion dollars a year is wasted because of bad data quality. Statistics are taken from The Four V’s of Big Data by IBM Data Hub Question 3)Is big data just about metadata or is it about full content analysis Answer: You are correct and if I had more time I would have gone into this more in-depth in my presentation
You may find that an always-silent participant may have her team build a data quality dashboard without your help
· Context and Business Rules Help to Get the Most Benefits From Data : Context and business rules are two tools that companies can use to process information faster and improve data quality. Context plays a significant role in the recognition process by helping to explain the characteristics or properties of data within a field, while business rules can be used to automatically populate fields with database lookup, and to ensure that the data meets defined criteria
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