Providing a better experience across your data ecosystems is possible

We live in the age of data (and silos).

In the last years, the generalization of the use of IoT devices, digital services through web and mobile devices and the evolution of their capabilities (geo-positioning, notifications, ...) along with technological advances applicable to the ecosystem of data management (Big Data, Analytics, etc.) have marked a new cycle.

Companies can capture benefits by using BI, analytics and visualization tools to harness the power of their data, but sometimes they're missing go the extra mile.

Most companies are already aware of elements in the critical path of the ongoing enhancement of their data strategy, like data management, data quality management and data governance. However, in my humble opinion, it's the ability to connect systems, data and people (to give us business intelligence) the path to the agility and resilience needed to thrive.

Many companies are having trouble using their data to make decisions because the solutions they are working with were not designed for providing a good digital experience for non-technical users and therefore access to data is complex, disparate and inefficient.

Could we provide a better experience across data ecosystems?

Yes, we could by providing our decision-makers a simple, comprehensive and useful environment that allows them to reduce information overload and context switching (because of having disparate and disconnected data sources) by providing an official repository of information to support decision making.

The ease of use and intuitive design would make it accessible to all types of users, without the need for specific knowledge of Business Intelligence and/or Big Data, providing visualization and logic for decision making, and accordingly increasing their satisfaction.

This self-service data access could help us not just to empower teams across our organization but also support data democratization and literacy at scale.

In the end, if we could enable our users to visualize and interpret the key data for their field of action, abstracting them from the systems from which the data is obtained and reducing their potential handling errors we would help accelerate the entire value chain of analysis and the transformation of data into knowledge, thus improving confidence in decision making, right? What do you think?

"The ability to take data – to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it – is going to be a hugely important skill in the next decades" - Hal Varian, Chief Economist, Google (2009).