Our world is undergoing a constant and exponential transformation. Information volume and complexity keep rising as organizational, business, and technical landscapes progress forward. Organizations now face the challenge of designing strategies on shorter time frames, as well as maintaining and enhancing their positioning throughout their competitive journey.
Business Intelligence and Data & Analytics are key capabilities in addressing these challenges. Embedded within every organization’s culture and technological capabilities should be the means to understand, structure, organize massive amounts of data, and then turn those into insights into actionable information to fuel data-driven decision making.
At Amaris Consulting we support your company throughout its data transformation journey to transform data capital into consumer insights, empowering performance monitoring, information discovery, and data culture. Our aim is to maximize measurable business impact throughout the lifespan of the program.
With over 180 dedicated consultants and operations from 4 global centres, our areas of expertise cover:
- Modern data platform design in an on-premises, cloud, or hybrid setting
- Data warehousing
- Reporting, data visualisation, and storytelling
- Data architecture and data management
- Data science and innovation labs
- Cognitive services driven RPA
- Data transformation programs
In the coming year, “40% of digital transformation initiatives will be supported by cognitive/AI capabilities, providing timely critical insights for new operating and monetization models,” predicts the International Data Corporation.
The new concept of data proactivity is related to third-party solution integration and AI. Put simply, all these features offer the benefit of providing answers based on your data capital. Whether you directly engage the system or not, an intuitive solution will bring the answers to you.
Our vision on the data platform of the future secures the end-to-end foundations encompassing: enterprise-wide data ingestion mediums, cost-effective massive data storage, high performance computation, semantic layer design, and finally, insights consumption or embedment in your operational platforms.