Data Analytics (DA) is the science of analyzing the raw data to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other useful business information. It allows companies and organizations to make better business decisions based on existing theories. Our technical competency and business domain expertise make us the right choice for clients to define the Business strategy for their organization.
Our Business Intelligence solutions and data analytics services help enhance your business in the right ways. It provides the actionable insights on various internal processes and systems, while extracting information of productive measures. We help you explore the data available to your business line for better and clear decisions through gaining the insights that can be shared easily.
There are various tools in Data Analytics that can be successfully deployed in order to parse data and derive valuable insights out of it. The computational and data-handling challenges that are faced at scale mean that the tools need to be specifically able to work with such kinds of data.
The advent of big data changed analytics forever, thanks to the inability of the traditional data handling tools like relational database management systems to work with big data in its varied forms. Data warehouses also could not handle data that is of extremely big size.
The era of big data drastically changed the requirements for extracting meaning from business data. In the world of relational databases, administrators easily generated reports on data contents for business use, but these provided little or no broad business intelligence. It was for that, they employed data warehouses. But, data warehouses too generally could not handle the scale of big data, cost-effectively.
While data warehouses are certainly a relevant form of Data Analytics, the term 'Data Analytics' is slowly acquiring a specific subtext related to the challenge of analyzing data of massive volume, variety, and velocity.
Prescriptive Analytics: This is the type of analytics that talks about an analysis based on the rules and recommendations in order to prescribe a certain analytical path for the organization.
Predictive Analytics: Predictive analytics ensures that the path is predicted for the future course of action.
Diagnostic Analytics: This is about looking into the past and determining why a certain thing happened. This type of analytics usually revolves around working on a dashboard.
Descriptive Analytics: In descriptive analytics, you work based on the incoming data and for the mining of it you deploy analytics and come up with a description based on the data.
Benefits of implementing Data Analytics at your business
- Improve Business Advantage
- Identify New Revenue Opportunities
- Businesses can Take Their Service to a Totally New Level
- It Helps them Understand More About the Users
- Predictive Analytics Helps in Detecting Hidden Insights in Customer Data
- All the Large Amounts of Data that’s Coming in — You can Use them all Now