Acumen, one of the top-rated Software Development Companies in India offer you a influential & wide range of Big data solutions which handle the storage, transaction, analysis, and maintenance of the unorganized data in an organized and orderly manner and then further operate it for real-time analysis, visualization and prediction. Whether you are looking to integrate your data into analytics-ready systems or develop an extensible big data solution, our experienced team of big data engineers will assist you exploit your ROI.
Expert services based on tested, potential methodologies that provide unbiased vendor-neutral suggestions, architecture blueprints, and implementation roadmaps. We help you define a Big Data strategy and select suitable technologies and vendors on the basis of your requirements and budget. We also make sure that it complements your existing data warehouse/ BI investments. Our consultants have an extensive view of the many options available and help you assess both commercial product vendors and Open-Source options.
Offer dynamic, exceptionally versatile, high-performance Big Data analytics applications. Reduce your risk, execution time and cost. Our team of expert partners with you to design proof-of-concept models using Big Data technologies. On successful verification of the model, we help you to measure and deploy your Big Data solution to a production-grade accomplishment. Acumen also provides cost-effective maintenance, support, and optimization of your Big Data Solutions.
Utilize experienced data scientists and strategies to implement advanced models and algorithms that separate the signals from the noise, determine patterns in the data, and provide predictive perceptions. We are proficient in machine learning, natural language processing, enterprise search, and advanced statistical, and mathematical decision science. We are experienced in a broad range of industries such as Transport, Banking, and Financial Services, Telecommunications, Tourism, Digital Media, Healthcare, Engineering and Construction, and others.
Real-time Data streaming enables big data to become a lot more effective, with the benefits going over and above more effective business operations. It guarantees better e-Commerce, faster analysis of mobile apps data, system monitoring for productiveness and much more. It enables businesses to keep a record of the actions of their customers, most importantly, as they visit a website. At the same time, the need for real-time data streaming will go up as the Internet of Things (IoT) gets prominent.
Real-time reporting is established by the speed at which information changes and when it is available for the user to control. If you need to know how many products have been sold in a minute, then a real-time system proves to be useful. It is quite challenging to provide data in real-time for organizations that are eager to increase the value of their application and business intelligence investments without affecting the performance of operational systems.
It’s necessary for businesses these days to gain actionable insights from consistently produced data in real-time. In such approaches, dashboarding proves to be extremely helpful as dashboards allow you to save, share and communicate insights. These Real-Time Chart & Dashboards enable Data to be visualized in real-time. We enable you to create a data analytics dashboard with just a single chart and then add to it as needed. You can build, edit, filter, and delete dashboards right away; move and resize them, and then share them or combine them within your web application.
Real-Time Tracking & Monitoring enables you to track the resources and people with ease. It assists business owners and fleet managers secure, track and deploy their vehicles for maximum benefit. Get innovative solutions for instant location tracking and management of supply-chain resources. Personalized and private tracking programs are designed that prevents internal and external fraud.
Microsoft Azure
PostgreSQL
MongoDB
Tableau
Hadoop
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Acumen offers Big Data Solutions to help you accomplish your next project with less stress and less cost. We offer the flexibility to select the most suitable hiring model for all our clients.
If you represent an organization with a challenge that wants dedicated attention, ask about dedicated teams. It’s a pay-as-you-go monthly continuing contract.
The controlled agile engagement model fit best for those who have a restricted budget & still wants some flexibility in the project tasks.
If you represent an organization with endless projects requirements & need ongoing work, ask about hourly. It’s a pay-as-you-go hour wise continuing contract.
We have clients in USA, Australia, UK and Singapore..
Big data is a term for data sets that are too large and complex. The traditional data processing application software’s are inefficient in handling them appropriately. Big data generates several challenges including data capture, data storage, data updating, data analysis, data sharing, visualization, search, transfer etc.
However, in today’s market, the term "big data" rarely projects a particular size of data set. The importance of big data doesn’t revolve around how much data you have, but how you manage it. It tends to refer to the use of predictive analytics, user behavior analytics, or other progressive data analytics approaches that fetches significance from data.
Big Data allows you to analyze data from any source and study it to find effective solutions that enable Cost reductions, Time reductions, Inventive Decision Making and Designing of solutions with enhanced features. By combining big data with dynamic analytics, you can accomplish various solution enhancing activities.
Big Data in coordination with Industrial Internet will give a new dimension to businesses in the future and we are aiming at being specialists of the same as a service provider.
Yes, We have a team of Certified Hadoop developers as well as MongoDB Certified Developers etc.
Big data is often boiled down to a few varieties including social data, machine data, and transactional data. Big data can resemble traditional structured data or unstructured, high frequency information.
Big Data technologies can be sensible for smaller databases as well, for example, if complex mathematical or statistical analyses are run against a database.