Today, we are dealing with super fast client request/response to increase enterprise reputation. In order to meet the requirement, we need in memory system, more specifically, we need to respond right after sensing the change.
Sensing and Respond for our decision, Business Intelligence 3.0
Using all types of information, it senses risk and what happens now, then tells types of risk and prediction of what will be happen to prevent of any unknown issues.
- Using Bigdata
- Next generation Analysis : Real-time prediction, storing managing and analyzing big data,
- Predict future and execution: Evolve to "Sense & Response" from "Predict & Act"
Technical factors
- In-Memory: In memory, Cache or In-cache appliance for Bulk data analyze and execution(SAP, HANA)
- Open Architecture: Response long-tail with Securing platform flexibility and applying Mobile environment (R, Hadoop)
- Cloud: To establish swift implementation of process and changes.
What is being used.
- Prediction: statistics of searching (Google)
- Social Leader: Figure key persons and community types by SNS data flow(Twitter, Facebook)
- Trend: figure trend of consumers by storing millions of transactions (Wallmart)
- relations: Analyzing association of purchase(Algorithm) and secure 30+% sales(Amazon)
Today, we are facing many duties on privacy, security, personalized requirement such as massive IoT, Smart car, Smart environment, VR, 5G. We need secretary preventing harming our reputation.
Automated quick decision is required, in-memory based BI 3 using bigdata is key component to increase reputation and revenue.
Dan K