Artificial Intelligence Artificial Intelligence (AI) technologies are quickly gaining attention among corporates around the world, … Continue reading Artificial Intelligence
Digital Transformation Digital Transformation is no longer just a set of tech solutions. It’s becoming … Continue reading Digital Transformation
Analytics & Big Data
Now, you keep pace with your dynamic business demands with our sophisticated ACI business intelligence and analytics platform!
Big Data is all about large sets of data being treated with help of various tools to fetch meaningful insights/data for the enterprises to aid in their decision-making process. This process is not as easy as it’s being said! This includes data analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying, updating and information privacy. Enterprises are continually dealing with Big Data essentials like converting huge volumes of data and organizing customer insights to drive their companies into the future. To solve all of this, they need easy access to massive volumes of data, which will help to generate better business outcomes.
ACI specializes in how the data is being handled from its source. Data can be collected from a variety of sources, including business transactions, social media and information from sensor or machine-to-machine data. Up until recent times, storing it would be a problem – but new technologies in Big Data from ACI are decreasing that burden of handling information. As you know, Data comes in all types of formats, from structured, numeric data in traditional databases, to unstructured text documents, email, video, audio, stock ticker data and financial transactions. To make life easier for the Data Scientists, we developed robust and scalable services that make it easy for businesses to develop and set-up enterprise Big Data applications with ease. ACI’s Big Data services allows you to explore, evaluate, navigate and track all your data while you’re on the move. It can be stored, managed and analyzed from various sources and then passed on to data scientists, business analysts, and IT users – all at the same time.