@Waqas, while waiting for a SAS Global Forum session on HPA to begin, i did overhear a couple of gentleman from a satellite TV company say they thought HPA was great, and would be useful, but at "a half a million bucks" unreasonable for its environment. I asked SAS CTO Keith Collins about this when I met with him the next day. He agreed that, yes, the initial offering was not affordable at large. But a June release changes that, eliminating the need for the pricey, dedicated appliance plus slicing up the functionality so you can buy only what you need and grow from there. Plus, companies will be able to take the SAS procedures they have running on a single server and move them over to an HPA cluster as needed.
Kicheko, you have raised a good point. Completeness is the thing to compromise on rather than the accuracy and that is what practically happens in practical life. Misleading information and delayed information; both are not acceptable.
Beth, true. Budgeting is not a factor to be ignored esp for a SME however large corporations may agree to pay as much as a high quality solution costs because of the economies of large scale they benefit from.
waqasaltaf, - If this was a debate i would be on the other side saying compromise on report if you have to. Speed is important..as they say late information is uselsss. I like to hope that if a report has to suffer from having been quick it would be on the completeness as opposed tp the accuracy.
There is certainly truth in that statement, as it could be applied to many considerations. As I read your implication, you hold that the context of modeling and analytics are essential to determining what is acceptable, in terms of both the nature of the results, and the means of achieving them - the principles to which I adhere are in agreement.
The problem with such an endorsement, in many cases (though I can't say it applies in this case), is that the very context which the principle requires has been stripped from the data on which the processes operate, or even the processes themselves. The effect ends up being like some food being deemed both beneficial and detrimental to good health; without an understanding of the particulars of how these contradictory conclusions were derived, how can anyone make an informed decision as to what to eat or not eat? I think a question similar in nature is faced by those considering analytics strategies. With mushrooms, the safe assumption is to assume they are unsafe, unless proved otherwise - pretty much the same with speed vs. accuracy.
@waqasaltaf, while I agree solutions are available I don't think it's that simple. High-performance analytics/computing doesn't necessarily come cheap, for example, so there is budgeting to consider, for one.