Looking back, then forward, is a traditional exercise by year-end. Which data concerns are important enough to worry about in 2024? Which of those do we stand a chance of doing something good for in 2024? Needless to say, money (budget and costs) is an issue. But even more needless to say, solving real business challenges is probably more israel whatsapp number data important. Remember that costs accumulate, and benefits can be annoyingly late in showing up. Some benefits even make it to the “Win or die trying” category.
It is, admittedly, not easy:
So, encouraged, what can we learn from the past?
I put these five concerns forward as being seriously interesting in 2024:
Business results
Subjects vs. processes
Modeling: Reality or data?
Informatics – why is that a European thing?
Improving data modeling by improved cognition???
Business Results, Now or Never
Computing applied to business concerns goes back to the late 1960s. Data entry was initially Flexowriter paper tape (on an electric typewriter) and on punched cards. Complex algorithms were performed as multi-step sort/merge algorithms on magnetic tape to be replaced by direct access devices (disks) during the seventies.
Business use cases were pretty straightforward, and people like myself were quite busy over 10 to 15 years implementing bill-of-materials and materials requirement handling applications; on computers, which were purchased for those use cases. At prices from half a million dollars and up.