Data is getting more complex and traditional software cannot handle huge amount of data. The concept of Data Lakes is becoming a new standard for storing business information. From product purchases to recommendations. From geo mapping to self driving cars. From imaging systems to face recognition. Data is used to mimic human behavior for artificial intelligence (AI). And statistical techniques to enable machines and computers to learn data. It’s structured and unstructured data in Petabytes and Exabytes to process information. At AvonDx we have adopted a methodology to assist customers to leverage big data for analytics. This is an opportunity to leverage big data for an in-depth understanding of organizations goals and objectives and to meet customer requirement.

The field of Big Data Analytics has seen dramatic success in recent years. Despite the challenges
and growing scrutiny around new enterprise software investments, the success stems from the
fact that Big Data Analytics technologies provide tangible business value across a number of
functional and industry segments. Analytics information applications and services
are increasingly in demand from business users as they adapt to the demands of the real-time
enterprise and decision making in this new age of accountability.

At AvonDx, we work with our customers by:

  • Identifying the main criteria for the final project acceptance milestones and deliverables before the project start
  • Providing a methodology approach for implementing an effective Big Data Analytics project that covers tasks, resources, timelines, duration and dependencies
  • Measuring project budget against the ROI through tangible KPI’s
  • Focusing our approach on the business users’ needs and requirement matching the project plan
  • Evaluating data quality, readiness and business definitions in order to place measurable indicators to match the data objectives

With a Data Analytics implementation, resources will be required to address a variety of roles. AvonDx will work closely with you to ensure that the project is staffed with the necessary resources including:

  • Big Data Analytics Architect
  • Big Data Integration Specialist
  • Data Scientists