+ 201 351 7733 | info@eniacsys.com

Business Intelligence and Analytics

Eniac Systems Inc helps clients generate valuable business insights from their data by providing full life cycle Business Intelligence, Data Warehousing and Data Management consulting services.

We employ a team of highly skilled consultants who have expertise with technology platforms from leading vendors including Microsoft, IBM, Oracle, SAS, MicroStrategy and several others. Our vendor-independent approach gives us the flexibility to advise our clients of the best-fit solution for their individual needs.

Our BI practice assists with business intelligence strategy, product implementation and training so that our customers can quickly access accurate information that provides greater insight into their business.

We offer a comprehensive range of business intelligence services including:

  • Business Analysis & Documentation
  • Project Management & Program Management
  • Architecture Consulting
  • Application Development, Customization, Enhancement (DataBase Applications, MS.NET, Java, J2EE, Python and Django)
  • Custom Web development solutions (Web 2.0 Rich internet applications (RIA), Web Portal development)
  • Enterprise Application Integration Services
  • Business Intelligence & Data Warehousing
  • SOA and Web Services Implementation
  • Siebel Implementation

Big data and analystics:

We pioneered the approach of analyzing data in ways that create meaningful, actionable insights. We do this with a team whose skills span every aspect of data challenges—technology, infrastructure, data management, analytics, interpretation, visualization, and presentation—all combined with industry-specific expertise that allows us to put your analysis in the right context.

Business Analytics:

Accessing business data becomes a challenge for companies that need to respond to rapidly evolving markets and changing customer dynamics. The goal of high-end business analytics is to transform useful, but often marginalized data resources into something that lets business managers immediately take hold of the dynamic state of their business.

Data Warehousing:

Data complexity and higher volumes of data have forced enterprises to look for efficient and accessible means of data storage. Data warehouses in turn prove to become the most suitable containers that not only store and secure the data efficiently but also make data accessible to the required streams in quick turnovers. Creation of a DW environment requires analysis in terms of the architecture, hardware platforms, storage, tool selections, data modeling, ETL and end-user reporting. Since data warehousing caters not just to the current but also future needs, it demands pioneering approaches to efficiently scale data warehouses and optimize their performance.

Analytics facilitates the decision making process by organizing data in a more user friendly manner. The future of big data, lies in current machine learning techniques. Quantitatively being able to back up our business model, ensures the best quality of information. Over the years technology has enabled us to gather larger amounts of data & information. These analytics have grown over the years so that the newly organized data could be utilized it to its full potential. Our Big Data Practice requires highly qualified candidates who specialize in multiple open source technologies. Our main multi architecture solutions provided for clients include the following technologies.