#oac

What i Have to do Now? 이제 앞으로 뭘 어떻게 해야하지? 내가 신청한건 맞는데 도데체가 막막하네.

okay so DISCLAIMER i’m not rich i can’t afford OAC either BUT the x hoodies were on 75% discount (70usd) so i could get one. and i figured it’ll probably be my only chance to afford OAC. as if i haven’t already given one mr. rick savage enough money by way of def leppard

first things first they sent it in a generic mailer (which had a hole in it!) to the wrong address (my billing address is NOT where i live thank you very much).

the actual package had a branded garment bag in it which is actually quite cool and tbh i NEED if i had actually paid $300 for the hoodie..

the actual hoodie itself is Very Nice. clearly well constructed and very cozy. interestingly the inside isn’t actually soft, it’s kind of a rough cotton texture. but it’s nice enough that i know it won’t come apart in the wash.

they DID say however that the hoodie was “true to size” for women, and that you should size up if you wanted oversized. based on the pictures i’ve seen of female models wearing the other OAC hoodies, i thought that was probably a fucking lie and ordered a medium anyway. i was right. it’s big enough that it definitely feels and looks a little oversized but it’s not so big that i’m swimming in it. if i’d ordered a large, i would be.

it’s definitely overpriced at $300 but honestly i would pay up to $120ish for this hoodie. it’s obviously of very high quality, very warm, and very comfortable. the fact that it’s from a brand created by my favorite member from my favorite band also helps. and the subtle def leppard reference (x defenders rise up!) is also cool.

bonus: the printed custom tag is quite nice. also they have a little tiny safety pin on the brand tag so you don’t have to cut the string and can save it/collect it.

In today’s data-driven world, organizations are constantly seeking ways to gain insights and make faster, smarter decisions. Oracle Analytics Cloud (OAC) is a powerful cloud-based analytics platform that delivers end-to-end capabilities, from data ingestion and preparation to visualization and predictive analytics. Whether you're a business analyst, data scientist, or IT professional, OAC provides the tools you need to turn raw data into actionable insights—securely and at scale.

1. What is Oracle Analytics Cloud?

Oracle Analytics Cloud is an integrated platform designed to support the entire analytics workflow. It combines machine learning, artificial intelligence, and advanced data visualization to help organizations understand their data in real time.

Key features include:

Self-service data discovery and visualization

Augmented analytics with natural language querying

Data preparation and enrichment tools

Embedded machine learning and predictive analytics

Scalability and performance on Oracle Cloud Infrastructure (OCI)

With OAC, users can connect to various data sources—both on-premises and in the cloud—offering a unified view of organizational performance.

2. Benefits for Businesses and Analysts

Oracle Analytics Cloud is more than just a reporting tool—it’s a strategic asset for decision-making. Here's how it adds value:

Improved Decision-Making: With AI-driven insights, users can uncover trends and patterns that might go unnoticed in traditional dashboards.

Increased Efficiency: Automated data preparation and smart visualizations reduce manual work and free up time for deeper analysis.

Enhanced Collaboration: Shareable dashboards and reports promote data democratization across teams, enabling more informed discussions.

Secure and Scalable: Built on Oracle’s robust infrastructure, OAC ensures enterprise-grade security and high availability for mission-critical workloads.

3. Use Cases Across Industries

Oracle Analytics Cloud caters to a wide range of industries, each with unique data challenges and needs:

Retail: Analyze customer behavior, optimize inventory, and enhance personalized marketing campaigns.

Finance: Monitor key KPIs, detect fraud, and forecast revenue with advanced modeling.

Healthcare: Track patient outcomes, operational efficiency, and regulatory compliance through data-driven insights.

Manufacturing: Predict equipment failure, monitor supply chain performance, and optimize resource planning.

These use cases highlight OAC’s flexibility in adapting to specific industry requirements while delivering robust, AI-powered analytics.

Conclusion

You just can't make this up..

originally twitter-exclusives from 2021 but like. lol.