Data Pipeline is an embedded data processing engine for the Java Virtual Machine (JVM).
Business intelligence (BI) is an umbrella term that includes the applications, infrastructure and tools
Predictive analytics is the use of data, statistical algorithms and machine learning techniques.
Real-time analytics is the use of, or the capacity to use, data and related resources as soon as the data enters the system.
R is an open source programming language and software environment for statistical computing and graphics.
This is a general term that describes any effort to help people understand the significance of data.
This is the process of examining large and varied data sets — i.e., big data — to uncover hidden patterns, unknown correlations
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We add significant value and competitive advantage to the data collected from various sources. It is difficult to process large volumes of data using database management tools and hence we help you to explore the benefits of Big Data. Our solutions are cost effective, secure and address specific business needs. We deliver customized solutions to a wide range of clients with different business verticals.
Data Analytics is about understanding your data and using that knowledge to drive actions. It reveals the trends and outlives within the data which might be otherwise difficult to note. It is a scientific way to convert raw data into information that helps guide difficult decisions.
Businesses are using analytics to make more informed decisions and to plan ahead. It helps businesses to uncover opportunities which are visible only through an analytical lens. Analytics helps companies to decipher trends, patterns and relationships within data to explain, predict and react to a market phenomenon.
Building analytics function requires long term commitment and extensive resources. An organization has an option to seek analytical help from in-house resources or from outside analytical vendors or use both in parallel.
Data is the most important resource for any analytics project hence the business should make sure that it captures its business and customer data in a structured manner. This will ensure that company has all the relevant data in the most usable form and can help the project move along quickly.
For analytical needs, an organization can decide to use data analysis softwares like SAS or SPSS, seek help from custom consulting companies like IQR Consulting or even build data analytic capabilities in-house. Today companies are even using a combination of the above.