It’s more important than ever to know who your customers are, what they want, when they want it and how to deliver it. It’s your raw user data that can give you that edge. But turning raw data into valuable business insight demands software that is fast, reliable and not just collects data. But analyses it in real-time. Feeding it to your back-end systems so they make smart, agile decisions. No more post-processing in batches and running after the fact. The new style of business intelligence is rocket-fuelled – and it should have several key advantages and features. Let’s have a look.
Real-time control through real-time dashboards
Real-time dashboards mean you can see into your systems at any time. You have the power to start, stop, block, deny, cancel or terminate a process as it is happening. No more collecting data and analysing it afterwards. Real-time control over systems means total control so you always stay ahead of the game.
Real-time decisions through alerts and service calls
You can keep a pulse on things yourself. Or you can set up rules, categorizing customers and business partners, so that the system does that for you. This is all good stuff for companies that need to pivot fast and make split-second decisions based on real facts. For instance, in-the-moment traffic information. A Real-Time Streaming Data Analytics solution can collect enormous amounts of data, make sense of it and react with exact precision.
Machine learning and predictions
Real-time streaming data processing generates a ton of data. No human being could make sense of it all. Let us introduce the machine. Machine learning collects characteristics in the data and based on them, learns and generates business rules that are predictive. For instance, as soon as you leave your home, your phone gives you a weather or traffic update like Google does. We’ve all experienced digital providers who anticipate our needs and offer suggestions. It might feel like magic. Really though, it’s just great analytics.
The power of collecting so much data and creating real-time analytics means you can embrace new business models, such as monetizing your API usage. Real-Time Streaming Data Analytics help you make real-time calculations and decisions for your customers. Remember the last time you exceeded your mobile data limit? That system made a real-time decision whether or not to give you more bandwidth. Monetization lets you seize the moment and make customers happy. A win-win.
Light-speed analytics powered by Siddhi and WSO2 Stream Processor
How is the WSO2 Stream Processor able to provide all the advantages above? It was built from scratch with ‘real-time analytics’ in mind. That’s easier said than done. It cleverly runs on a scripting language called Siddhi that makes the processor extremely fast at making split-second decisions on big data. The WSO2 Stream Processor itself was made to collect raw data from APIs, Services, Apps Devices, and crucially, from Sensors. Sensors generate a non-stop stream of data; data you need to stay agile. Nowadays, no business can rely on post-processing analytics. With WSO2 Stream Processor, you don’t have to. Want to know more about the match between the WSO2 Stream Processor and your company?
Leverage your data, fuel your business with WSO2 Stream Processor
- Analyse millions of data points per second dynamically
- Lightweight and small deployment capable of handling large event rates
- Process real-time aggregation queries that span from seconds to years
- Distributed deployment to scale and process millions of events per second
- Support for sophisticated use cases that require complex streaming operators and anomaly detection
- Rich and agile development experience with Streaming SQL using the graphical drag-and-drop editor
- Provides business users more autonomy in managing tools