Enterprises of today have to be data driven organisations. Fundamental Data that is collected as it is measured and is originated, eventually stacks up and becomes smarter as it gets stacked up, and correlated. As data gets more converged and accomplishes a higher degree of abstraction, it starts become more semantic, more meaningful. Business or organisational leadership use smart reports and data visualisation tools to make well-informed decisions. An organisation, particularly business organisations, including not-for-profit organisations need smart data and visualisation tools for effective decision making. The objective of any organisation, and its leadership is to make decisions that help individuals, teams and organisations accomplish sustainable goals, sustainable growth, and profits or true stakeholder benefits. The key leadership is also responsible for improved efficiencies and productivity, where the world s challenged by increased costs of operations.
Today, every aspect of life we generate exponentially increasing amounts of data year on year. Thanks to advancing sciences, technology, measurements, connectivity and computing, in most areas we are handling truly “Big Data”. Raw Data until analysed is not useful, and of course does not become “smart data”.
Organisations where good processes are implemented to collect accurate data at the origin, and get t into the flow, have greater Data Buoyancy, and hence faster use for such analysed data for decision making.
“Data Buoyancy” is about how quickly the data can move to decision making levels and influence decision-making.
If that duration from origin of data to decision making is not quick enough, the data is worthless and the decision making could go wrong.
The High Speed internet, cloud, Data Science, Data Analytics, and Visualisation are life and blood of new age businesses and organisations – Big or Small, One Location or Muti-location.
In fact large multinational organisations are inevitable dependent on Data, to stay competitive, stay agile to being able to quickly understand market dynamics, and paradigm shifts in the Global market thanks to Data Sciences and the power of computing, and networking.
Data does not lie.