Big Data Analytics
Syntaxbay develops big data analytics application for our value clients. Such apps are ideal way of storing huge amount of data for better productivity of any business. Developing these applications require in-depth analytics, that includes
building correlations among the data sources. Clients can use such apps for faster decision making while in the shorter timeframe. People can solve complex tasks, optimize activities, define timeframes, and explore opportunities for revenue
generations.
Syntaxbay big analytics services
Let me show you how our big data analytics services is helping business people increase revenue and how you can benefit from this emerging technology. Some industries that are using the technology include healthcare, retail, business, banks,
e-commerce, and several other industries.
Healthcare
Technological improvement in healthcare is helping in increasing lifespan of people in the globe. However by increasing population, maintaining the healthcare require increase health data analytics. Our data analytics services will help providers in creating
treatment models which will help prevent diseases. Improved technology can help healthcare industry to prevent epidemics, develop immunities, and cut down healthcare cost.
Electronic health records help patient identifying prevention they need to take as they can observe historic data on their previous schedules. Providers can easily manage health records to provide better treatment to the patients.
E-Commerce
With big data analytics e-commerce websites like Amazon can easily analyze customer behavior, business trends, and retailers data. This will help these websites to provide customers a better personalize and taste-based
experience. Websites will help retailers in identifying target customers to increase revenues of their business.
At syntaxbay we have a team of experienced web developers, ui/ux designers, and quality assurance experts who will help you create quality E-commerce website. We will implement big data analytics in the website to give customers a memorable experience.
It will help our clients build brand loyalty.
Banks
Banks use financial risk models to streamline daily business and identifying risk by implementing big data analytics. IT team run risk analysis to identify fraud and assuring customers follow the principle guidelines
as implemented by them.
Supply Chain management
Supply chain management is made easier by implementing the new technology. It give suppliers opportunity to achieve contextual intelligence across their network. Knowledge base sharing will help easily execute supplier
task for business activities.
Customer relationship Management
Several brands use big data analytics to build customer relationship, that will help making building brand loyalty. Coca Cola use the technology to identify customer likeness. Advertisement campaigns are based on customer
likeness and geographic locations. As customer respond to the things they like, marketing campaign will help increase sales as well as revenue.
