In order to prevent context and meaning from being lost in the proliferation of mobility, IOT, and other digitised interactions, it is critical that we manage consumer experience. For instance, diabetic patients should get lifestyle and health-related counsel specific to their daily lives rather than general, overarching guidance.
The WMAD Quick and Connected Data solution provides the ability to integrate, interlink, and gain insight from IOT, mobile, and other sources of big scale data. By offering a platform-based solution that allows a configuration-based capability to register, load, analyse, and respond, WMAD has made these aspects simpler for clients. Our solutions build a common vocabulary to query and communicate with the platform using industry standard knowledge bases like FIBO, schema.org, and others. We have also implemented such cloud integration solutions for AWS and Azure.
Businesses may now analyse client behaviour, customer details, shopping patterns, and trends thanks to real-time data processing. Almost all organisations nowadays must cope with a few massive data sets. Overcoming the necessity and incorporating real-time big data analytics will benefit the firm in a variety of ways.
Let’s take a business that offers its internal or external consumers a web or mobile application as our first example. Data may be readily delivered asynchronously to Azure by adding just a few short lines of streaming code. With the help of this code, important application events like logins, daily usage, or even new data entries are streamed in real time to Azure, where you can do real-time analyses, use machine learning, or notify important team members of an issue.
Keeping with the aforementioned examples, some crucial acts that could benefit your team include:
Inform customers who still have products in their shopping basket through text message about the items they added during their previous visit to the website.
Send a follow-up email to your internal team or customers using a recommendations engine that runs data via a machine learning model to make recommendations on similar goods or services.
Real-time streaming can be set up to identify missed sales chances brought on by low inventory or problematic products. Then, a corrective action can be taken right away to stop additional revenue loss.
Depending on the interest shown in a product, internal alerts or workflows may be triggered. A sales team member may receive a text message or email with suggested actions if a customer is looking for a high-value product or an item/service with a high margin.
You can start monitoring for fraud in real time if your application accepts coupons. A general manager may be alerted to a concern if a coupon code is used many times at the same address or using the same IP address.
The organisations must prepare analysed datasets close to the data’s source. In hybrid systems, a variety of on-premises data sources are used to gather a lot of data. Because cloud environments offer cheaper storage space, businesses choose them. Nevertheless, using the cloud for computer tasks is expensive. As a result, make a point of conducting real-time data analysis close to the data source.
Form the practice of formatting the raw data before starting the analysis. The dataset’s file size is decreased. The ability to format data in columnar formats is available in the on-premise system.
The ideal procedure is to first establish a catalogue before storing it. By using this strategy frequently, you can later retrieve data more easily. As a result, data processing systems operate more effectively.
The raw obtained data is used by the APIs, machine learning, query engine performance, and other systems in different ways. As a result, the chosen data storage platform needs to be robust, adaptable, and able to manage several workloads simultaneously.
In conclusion, real-time data analytics brings analytics patterns in general one step closer to improvement. This analytics pattern can be utilised to the utmost extent by modern businesses.
Power BI has more sophisticated real-time analytics, among other things. The WMAD consultants focus on consulting the user company’s personnel. These staff receive regular training to help them understand the trend and importance of real-time analysis.
In short, there are a virtually limitless number of ways that real-time streaming solutions might benefit a company. If you have inquiries or wish to discover more about real-time data streaming. In addition, we are pleased to assist, so get in touch with us if you want to chat with one of our advanced analytics specialists.
We are as flexible as you require. It is our responsibility to ensure that you are satisfied with your product and the development process.