Tag: data lifecycle management
24 Mar, 2020
Whoops where’s my data?
Data management means many different things to many different people. On a personal level most of us have a mix of storage media on various devices, potentially…
22 May, 2018
Final blog in series: Four economic fallacies of long term data management and how to avoid the surprising cost of “doing nothing”
Many Research & Development (R&D) executives express the same frustration. They may have a cure for cancer, or a revolutionary pharmaceutical discovery waiting to happen, but they just cannot quite grasp it. They think they already have the data somewhere, but have difficulty in…
17 May, 2018
Blog series (part 4): Data degradation in life sciences- The final economic fallacy of long term data being temporarily dynamic and path dependent
The final economic fallacy is that long term data management is temporarily dynamic and path dependent. I would argue that data is certainly temporarily dependent, but not path dependent. Data is constantly degrading in every temporal dimension; the past, today and..
11 May, 2018
Arkivum brand update: why you will see a shiny new us going forward
There’s been a lot going on behind the scenes at the Arkivum headquarters over the past 6 months. Product-wise, our team has been busy implementing a single platform for all the existing and future functionality to reside on and cater to all of our markets. More information to follow soon.
09 May, 2018
Blog series (part 3): The economic principle of data creating a free rider potential
In previous blogs we talked about data appreciating in value over time and that data is not a durable asset but very fragile. Data is not a durable asset like a house, but more like a very fragile oil painting that needs to be very carefully looked after and maintained with lots of…
03 May, 2018
Blog series (part 2): The economic principle of digital data being a depreciable, durable asset
In my previous post, I outlined the four key classic economic principles and how incorrect assumptions associated with them for long term data management could actually be costing your organisation money.
The four economic principles we are discussing..