![Page 1: 5 Technology Innovations for Commodity Analytics](https://reader031.vdocuments.us/reader031/viewer/2022030317/5870bd801a28ab0b4a8b6429/html5/thumbnails/1.jpg)
5 Technology Innovations
for CommodityAnalytics
Learn about the technology innovations that are paving the way for the most effective commodity analytics.
![Page 2: 5 Technology Innovations for Commodity Analytics](https://reader031.vdocuments.us/reader031/viewer/2022030317/5870bd801a28ab0b4a8b6429/html5/thumbnails/2.jpg)
1In-Memory Data Grids
(IMDG)
![Page 3: 5 Technology Innovations for Commodity Analytics](https://reader031.vdocuments.us/reader031/viewer/2022030317/5870bd801a28ab0b4a8b6429/html5/thumbnails/3.jpg)
In-memory data grids (IMDG):
![Page 4: 5 Technology Innovations for Commodity Analytics](https://reader031.vdocuments.us/reader031/viewer/2022030317/5870bd801a28ab0b4a8b6429/html5/thumbnails/4.jpg)
In-memory data grids (IMDG):• Provide unprecedented processing speeds
![Page 5: 5 Technology Innovations for Commodity Analytics](https://reader031.vdocuments.us/reader031/viewer/2022030317/5870bd801a28ab0b4a8b6429/html5/thumbnails/5.jpg)
In-memory data grids (IMDG):• Provide unprecedented processing speeds• Enable advanced calculations to be performed in
minutes instead of hours
![Page 6: 5 Technology Innovations for Commodity Analytics](https://reader031.vdocuments.us/reader031/viewer/2022030317/5870bd801a28ab0b4a8b6429/html5/thumbnails/6.jpg)
In-memory data grids (IMDG):• Provide unprecedented processing speeds• Enable advanced calculations to be performed in
minutes instead of hours• Support hundreds of thousands of in-memory
data updates per second
![Page 7: 5 Technology Innovations for Commodity Analytics](https://reader031.vdocuments.us/reader031/viewer/2022030317/5870bd801a28ab0b4a8b6429/html5/thumbnails/7.jpg)
In-memory data grids (IMDG):• Provide unprecedented processing speeds• Enable advanced calculations to be performed in
minutes instead of hours• Support hundreds of thousands of in-memory
data updates per second• Can be clustered and scaled in ways that support
large quantities of data
![Page 8: 5 Technology Innovations for Commodity Analytics](https://reader031.vdocuments.us/reader031/viewer/2022030317/5870bd801a28ab0b4a8b6429/html5/thumbnails/8.jpg)
2Schema-On-Read
![Page 9: 5 Technology Innovations for Commodity Analytics](https://reader031.vdocuments.us/reader031/viewer/2022030317/5870bd801a28ab0b4a8b6429/html5/thumbnails/9.jpg)
Schema-on-read:
![Page 10: 5 Technology Innovations for Commodity Analytics](https://reader031.vdocuments.us/reader031/viewer/2022030317/5870bd801a28ab0b4a8b6429/html5/thumbnails/10.jpg)
Schema-on-read:• Allows data to start flowing into an analytics
system in its original raw form and parsed only at process time
![Page 11: 5 Technology Innovations for Commodity Analytics](https://reader031.vdocuments.us/reader031/viewer/2022030317/5870bd801a28ab0b4a8b6429/html5/thumbnails/11.jpg)
Schema-on-read:• Allows data to start flowing into an analytics
system in its original raw form and parsed only at process time
• Enables users to ask any question not just those baked into a predefined data model
![Page 12: 5 Technology Innovations for Commodity Analytics](https://reader031.vdocuments.us/reader031/viewer/2022030317/5870bd801a28ab0b4a8b6429/html5/thumbnails/12.jpg)
Schema-on-read:• Allows data to start flowing into an analytics
system in its original raw form and parsed only at process time
• Enables users to ask any question not just those baked into a predefined data model
• Supports versatile organization of data
![Page 13: 5 Technology Innovations for Commodity Analytics](https://reader031.vdocuments.us/reader031/viewer/2022030317/5870bd801a28ab0b4a8b6429/html5/thumbnails/13.jpg)
Schema-on-read:• Allows data to start flowing into an analytics
system in its original raw form and parsed only at process time
• Enables users to ask any question not just those baked into a predefined data model
• Supports versatile organization of data• Is ideally suited for working with large sets of raw
data
![Page 14: 5 Technology Innovations for Commodity Analytics](https://reader031.vdocuments.us/reader031/viewer/2022030317/5870bd801a28ab0b4a8b6429/html5/thumbnails/14.jpg)
3Dynamic Visualization
![Page 15: 5 Technology Innovations for Commodity Analytics](https://reader031.vdocuments.us/reader031/viewer/2022030317/5870bd801a28ab0b4a8b6429/html5/thumbnails/15.jpg)
Dynamic visualization:
![Page 16: 5 Technology Innovations for Commodity Analytics](https://reader031.vdocuments.us/reader031/viewer/2022030317/5870bd801a28ab0b4a8b6429/html5/thumbnails/16.jpg)
Dynamic visualization:• Enables users to ask iterative questions to get
timely answers
![Page 17: 5 Technology Innovations for Commodity Analytics](https://reader031.vdocuments.us/reader031/viewer/2022030317/5870bd801a28ab0b4a8b6429/html5/thumbnails/17.jpg)
Dynamic visualization:• Enables users to ask iterative questions to get
timely answers• Provides interactive displays
![Page 18: 5 Technology Innovations for Commodity Analytics](https://reader031.vdocuments.us/reader031/viewer/2022030317/5870bd801a28ab0b4a8b6429/html5/thumbnails/18.jpg)
Dynamic visualization:• Enables users to ask iterative questions to get
timely answers• Provides interactive displays• Supports the ability for users to view large
amounts of data to discover patterns and make faster and more accurate decisions
![Page 19: 5 Technology Innovations for Commodity Analytics](https://reader031.vdocuments.us/reader031/viewer/2022030317/5870bd801a28ab0b4a8b6429/html5/thumbnails/19.jpg)
4Machine Learning
![Page 20: 5 Technology Innovations for Commodity Analytics](https://reader031.vdocuments.us/reader031/viewer/2022030317/5870bd801a28ab0b4a8b6429/html5/thumbnails/20.jpg)
Machine learning:
![Page 21: 5 Technology Innovations for Commodity Analytics](https://reader031.vdocuments.us/reader031/viewer/2022030317/5870bd801a28ab0b4a8b6429/html5/thumbnails/21.jpg)
Machine learning:• Evolved from the study of pattern recognition and
computational learning theory in artificial intelligence
![Page 22: 5 Technology Innovations for Commodity Analytics](https://reader031.vdocuments.us/reader031/viewer/2022030317/5870bd801a28ab0b4a8b6429/html5/thumbnails/22.jpg)
Machine learning:• Evolved from the study of pattern recognition and
computational learning theory in artificial intelligence
• Explores the study and construction of algorithms that can learn from and make predictions on data
![Page 23: 5 Technology Innovations for Commodity Analytics](https://reader031.vdocuments.us/reader031/viewer/2022030317/5870bd801a28ab0b4a8b6429/html5/thumbnails/23.jpg)
Machine learning:• Evolved from the study of pattern recognition and
computational learning theory in artificial intelligence
• Explores the study and construction of algorithms that can learn from and make predictions on data
• Is used for such analysis as cash flow predictions based on factors around invoices and counterparties
![Page 24: 5 Technology Innovations for Commodity Analytics](https://reader031.vdocuments.us/reader031/viewer/2022030317/5870bd801a28ab0b4a8b6429/html5/thumbnails/24.jpg)
5Predictive Analytics
![Page 25: 5 Technology Innovations for Commodity Analytics](https://reader031.vdocuments.us/reader031/viewer/2022030317/5870bd801a28ab0b4a8b6429/html5/thumbnails/25.jpg)
Predictive analytics:
![Page 26: 5 Technology Innovations for Commodity Analytics](https://reader031.vdocuments.us/reader031/viewer/2022030317/5870bd801a28ab0b4a8b6429/html5/thumbnails/26.jpg)
Predictive analytics:• Is the branch of data mining concerned with the
prediction of future probabilities and trends
![Page 27: 5 Technology Innovations for Commodity Analytics](https://reader031.vdocuments.us/reader031/viewer/2022030317/5870bd801a28ab0b4a8b6429/html5/thumbnails/27.jpg)
Predictive analytics:• Is the branch of data mining concerned with the
prediction of future probabilities and trends• Enables complex forecasting models and scenarios
to be run to answer the “what if” questions
![Page 28: 5 Technology Innovations for Commodity Analytics](https://reader031.vdocuments.us/reader031/viewer/2022030317/5870bd801a28ab0b4a8b6429/html5/thumbnails/28.jpg)
Predictive analytics:• Is the branch of data mining concerned with the
prediction of future probabilities and trends• Enables complex forecasting models and scenarios
to be run to answer the “what if” questions• Answers such questions as “what happens to my
bottom line if market prices go up/down?”
![Page 29: 5 Technology Innovations for Commodity Analytics](https://reader031.vdocuments.us/reader031/viewer/2022030317/5870bd801a28ab0b4a8b6429/html5/thumbnails/29.jpg)
See what Commodity Analytics Cloudcan do for your business.