Oracle 1Z1-052 : Oracle Database 11g- Administrator I Exam
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Exam Number : 1Z1-052
Exam Name : Oracle Database 11g- Administrator I
Vendor Name : Oracle
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Oracle Oracle Latest Questions
(Steve Miranda in motion at a contemporary experience)
Analysts and pundits like to argue. unluckily, these arguments are too often semantical, with little relevance to end consumers.
The analytics debate is an exception. should commercial enterprise analytics be approached as a pure-play, or is analytics optimum consumed within the context of enterprise purposes?
This challenge concerns. Why? since it informs buyer choices - and information platform roadmaps. It comes as no shock that Oracle has a transparent position on this theme.
I picked that up with Steve Miranda, Oracle's EVP of functions development, on November 2, the day of Oracle's latest analytics announcements. That news elements the debut of latest Oracle Fusion Analytics for provide Chain (see: Oracle Fusion SCM Analytics Helps companies build Resilient provide Chains with improved Visibility). As per the press pitch, Oracle Fusion SCM Analytics will assist purchasers:
gain visibility into supply chain efficiency
Correlate provide chain tactics into business dreams
discover, understand and predict deliver chain issues
On that third factor: "laptop gaining knowledge of and predictive analytics deliver computerized insights into supply chain facts to determine cost-saving opportunities, floor operational bottlenecks, and predict future outcomes." there is also a knowledge warehouse element, including to the analytics already developed for ERP and HCM:
To aid consumers find entertaining insights sooner, Oracle Fusion Analytics Warehouse enables businesses to destroy down organizational silos and analyze financial, supply chain, and HR information on a single integrated cloud platform. Fusion SCM Analytics is the most fresh Fusion Analytics offering for the Fusion Cloud applications suite, including to Fusion ERP Analytics and Fusion HCM Analytics.
Analytics in action - Oracle consumer eventualities
For context, Oracle held an Oracle live session on November 2, connect Your business with AI-pushed Analytics (replay obtainable). I asked Miranda if he could preview the client examples. He responded:
So they now have two great interviews, one with the university of Pittsburgh scientific center (UPMC), and the other with CORSAIR Gaming, a good way to no longer simplest show off their use of Fusion Analytics and the Analytics Warehouse, however additionally their use of their SaaS functions.
Oracle has provided analytics and planning equipment for somewhat a while. What's diverse as of these days?
With these announcements, the two massive things are: one is just the out-of-the-box integration now with Fusion functions, so having a SaaS-vogue warehouse, to replace the customized ETL that you've written to do it.
Then the 2nd one is some of the laptop gaining knowledge of. The computing device discovering you will see in the demonstration is going to be increasing the digital assistant to the BI tool so so that you can interact in voice or conversational UI with BI, and ask business-vogue questions within the way you ask company questions, and get the correct response within the right format, or appropriate document - as hostile to shopping.
what is driving these customer analytics investments? Miranda says it be about relocating far from the canned reviews of old, with their labor-intensive prepwork:
What you are going to listen to [our customers] speak lots about is replacing custom reports and custom extracts, for what i'd name metrics reporting. CORSAIR brings up the instance: they had a request for four hundred experiences to be spread out for transactional ERP, and pretty much replaced all of that with the out-of-the-box experiences and the configuration they get within the data warehouse. that is the primary half, and that's the reason the instant benefit they'll focus on now, where they're beginning to go.
Then there's the AI part:
What they're additionally speakme about is computing device gaining knowledge of or AI, the true analytics. And so, in both cases, you're going to hear exciting examples of the affect of the final 20 months... as an instance, CORSAIR has truly considered each ends of their business [change].
deliver chain disruptions forced the subject:
#1 is as a result of the work at home... CORSAIR has considered a spike in demand. on the identical time, they may be dealing with the chip scarcity and the manufacturing scarcity that many companies are coping with. in order that they've needed to rethink their items, their provide chain, and the way to stronger fill the demand to their valued clientele. and that they're the usage of the predictive analytics and provide chain analytics for that.
The goal of the Oracle Fusion Analytics Warehouse is to guide valued clientele' needs across purposeful areas, with predictive and AI capabilities included:
With UPMC, it's a little bit different. they are concentrated on the HCM facet of issues. Their largest power has been in the team of workers. whatever thing term you want to choose, whether or not it's the top notch resignation, or whatever thing you need to label it, they've obtained a lot of power on attrition, and loads of force on rehiring. in order that they've begun to use predictive analytics. On the HCM facet, they have prediction of performance, prediction of attrition - that is along side the machine discovering they now have on the recruiting facet, to rank most effective candidates, and so on.
facing predictive and SCM analytics challenges
cling up - predicting attrition is not always easy. in spite of the fact that they identify a chance, by the point they intervene constructively, it's too late to keep a cheerful employee. I asked Miranda: are they getting any improved there? brief answer: yes. To do this, he says, Oracle tracks "dozens of attributes."
we are able to piece together common patterns. as an example, in the HCM case, obtrusive issues like: 'When's your remaining lift? And when's your ultimate promoting?' however also issues like, 'how many managers have you ever had over the remaining three years? what number of performance value determinations have you finished? have you ever moved handle currently? have you ever relocated and changed your home tackle?' So all these indicators are available in, after which they measure those against different individuals in your business in that situation. And we're in a position to supply a prediction on the chance of attrition, in accordance with a number of various factors.
Now they have the introduction of Oracle Fusion SCM Analytics. Let's face it - groups might have used greater advanced SCM analytics the closing couple of years. Then once more, deliver chains are nonetheless disrupted. Miranda:
we've got at all times had provide chain planning tools. however now the degree of magnitude, and i suppose the chance aspect, and the variety of variables, has simply increased dramatically.
Miranda referred to transportation planning as an instance. The need for complicated analytics surged:
Transportation planning did not used to get that complicated. Now, or not it's very complex when it comes to the charge, the lead time... This leads into probably planning on: 'Do you have got local warehouses where which you can shop things? Or do you have got greater distributed manufacturing? Are you a firm the place you manufacture closer to the place it's distributed, so that you keep away from that transportation?'
My take - analytics should still be embedded and collaborative
Do cloud ERP carriers have an analytics facet against pure-play carriers? Miranda absolutely thinks so, but why? One large problem is external records sources, climate information being a major instance. To be reasonable, even pure-play analytics companies have been traditionally weak on external information sources. it really is modified.
positive deliver chain planning requires the exterior, no matter if or not it's climate information, or demand alerts from consumer-facing apps. If ERP vendors need to remedy analytics issues, they superior be data platforms. Miranda answered:
you are one hundred% correct, even if or not it's weather information or demand alerts, or if you're a retailer, you need statistics out of your merchandising application. Or if you're in banking, and you don't use their banking software, [the ERP vendor still needs that data for analytics].
Miranda says analytics carriers fight with the reverse:
The non-ERP vendors do not need the out-of-the-container integration with ERP, which offers two challenges. One you outlined, which is what you name statistics cleaning. [In their case], that comes without delay out of ERP; or not it's mapped without delay to dimensions that they take into account. So there isn't any confusion in terms of the definition. And two, or not it's well timed, because you do not need this type of batch ETL running between the techniques; they focus on that integration for you.
To make a legit case, ERP companies need to do greater:
We also have the means to load third-birthday celebration statistics, now not only issues like weather records... as an example you employ Oracle HR, apart from you failed to use time and labor, if you use Kronos or someone, you just deliver that in from Kronos as an external facts supply.
external facts sources - assess that field for Oracle. but I accept as true with the way forward for analytics is embedded. Analytics and transactional programs should still fuse, pun intended. In conception, cloud ERP vendors should still have an aspect embedding their own techniques, but that isn't at all times the case. in terms of who is doing the top of the line job embedding analytics, i would say the jury is still out. Miranda:
if you consider about transactional screens, you're usually looking at [something like] an bill... or a figure that applies to that context. and that's what we're beginning to mix in. it really is what they call embedded BI.
Analytics should also be collaborative. once they meet and talk numbers, they come to decisions. Or they message back-and-forth a few shop it truly is underperforming, and why. That conversation soon fades into the messaging feed; the online meeting is archived. sure, collaborative equipment have become greater, however they nonetheless have an issue. The context of their information discussions is instantly misplaced, Slacked into obscurity if you will. Collaborative analytics in context will develop this. Oracle is never making any news announcements on this theme as of nowadays, but i'd like to hear greater from them on this.
ultimately, there is the digital assistant query. Miranda and i have spoken on this earlier than; i am principally skeptical about where conversational u.s.a.are nowadays. it truly is ironic; anything else that makes commercial enterprise search more advantageous should be welcome. Oracle procedures digital assistants with both text (chatbot) and verbal interfaces, and yes, they have got customer references. Miranda says JPMorgan Chase is the use of Oracle's digital assistant as the front end to their recruiting, so when you are applying for a job there, you can provide it a spin. Hertz is additionally rolling it out "pervasively" throughout HR and finance.
Miranda aspects out that the job of an business assistant is narrower than Alexa, who ought to be able to reply well-nigh any question I might ask (and often does a horrible job, especially with search queries). So, I ask Miranda, what sorts of questions can Oracle's digital assistant reply these days?
What turned into their earnings remaining quarter for functions in North the united states?
k, that is pretty advantageous. however possibly extra useful is the means for a contextual comply with-up, without going back to square one:
It knows the context that i'm soliciting for, as adversarial to having to restate the entire sentence. So that's the form of aspect that they are able to zero in on.
So, you could observe up that standard revenue question with a geographic or product dimension.
We definitely know the values of these dimensions for your system, since the information is there.
Alexa cannot try this - so i'll call it development. possibly i could observe for a job at JPMorgan Chase and take a look at it for myself - if i will be able to do it devoid of diginomica finding out. desire me luck...
conclusion word: prior to the Oracle Fusion Analytics bulletins, Steve Miranda posted this publish on LinkedIn, See your business in new methods with AI, Analytics, and Fusion purposes collectively.
updated, 6:30 am UK time November 4, 2021, with the addition of subheading and a few smaller tweaks for memorizing clarity.