Data pros are dealing with a skyrocketing amount of data, created and gathered by ever-more devices. Here are the top challenges this is creating, according to a new study by Nexla.
From my own perspective these are a good list of pain points to the use of data. I would add to this list:
1.. Data Sources - do you know the best place to get your data from - there could be better alternatives do get the data from.
2. System of Record - related to 1. make sure you understand where your data really comes from and if the data is clean and pure of has been altered in some way.
3. Change control - I've been using a systems data to feed in some of the data I was using, but they have missed it in their change control and I've suddenly had different or no data arrive.
4. Data Management - are fields with the same name really the same?
This is a blog containing data related news and information that I find interesting or relevant. Links are given to original sites containing source information for which I can take no responsibility. Any opinion expressed is my own.
Showing posts with label DATA PIPELINE. Show all posts
Showing posts with label DATA PIPELINE. Show all posts
Sunday, 24 June 2018
Thursday, 29 September 2016
SLIDESHOW: 7 Key Considerations When Choosing a Data Pipeline Service via @infomgmt
Picking a service that manages your data isn’t something to be taken lightly. You’ll want to research a few different services before choosing what is right for your company. Here is advice on how to look at different services to make sure you really understand the value each brings to the table.
I find slide 9 quite important even though the sideshow says it is a bonus. In the past data has been put into a data warehouse or whatever is driving your reporting and just sits there forever. All data has a shelf life and needs to be moved, updated or archived off in a timely manner else you run the risk of your reports and analyses being incorrect.
I find slide 9 quite important even though the sideshow says it is a bonus. In the past data has been put into a data warehouse or whatever is driving your reporting and just sits there forever. All data has a shelf life and needs to be moved, updated or archived off in a timely manner else you run the risk of your reports and analyses being incorrect.
Subscribe to:
Posts (Atom)