“Huge volumes of data may be compelling at first glance, but without an interpretive structure they are meaningless.”
― Tom Boellstorff,
This week we will be talking about organisational learning, business intelligence, information management, analytics and big data. Nowadays almost everyone has the access to the internet and the internet has become the place where a lot of information and data are generated everyday. Almost everyone goes on youtube, facebook, instagram etc. There’s about 48 hours of videos uploaded, 684,478 of users share content on facebook, 3,600 new photos are shared by users on instagram, 27,778 of users see new posts.
Big data is often referred to as a large volume of data, this includes both structured and unstructured. When it comes to big data, what matters is not the amount of data but it is what the organizations do with the data. Organizations are able do an analysis for insights that lead to better decisions and strategic business moves.
Organizational Learning (OL) is a learning process in the organization that involves the interaction of individuals and collective levels of analysis and leads to achieving the organization’s goals. Organizational learning is based the application of the knowledge for the purpose and for learning from the process and from the outcome. It implies to knowledge management in three ways:
- Individuals have to understand how to create an organizational learning environment that is ideal
- Individuals have to be aware of how and why things are learned
- Individuals have to try and ensure that whatever is being learned is useful to the organization.
Information management (IM) is a collection and it is the management of information from a source or more sources and the information is then distributed to one or more audiences. Sometimes it can involve leaving the information with the right individual or understanding who has the right to it because management in the organization means having control over the organization’s structure, processing and delivering the information.
Business Intelligence (BI)is process driven by technology for analyzing data and presenting information that is actionable in order to help corporate executives, business managers and other end users that make more informed decisions for the organization. Business Intelligence encompasses a a lot of different tools, applications and methodologies that enable the organization to collect data from the internal systems and other external sources. Helps prepare the organization for analysis, develop and run queries against the data and create reports, dashboards and data visualizations in order to make the analytical results available for corp-orating decision makers and operational workers.
Data analytics is referred to the business intelligence and analytics technologies that grounded mostly in data mining and statistical analysis. The era of business was a time whereby there was a big movement regarding using data to access business operations and help in decision making. This involved using data for a better production processes, sales and customer interactions through the development of new technology.
In this era organizations were collecting data from the internet, human genome project, different types of sensor, audio and video recordings.
This is the era whereby the other organizations began to follow suit and other organizations began to invest in analytics to support the customer facing products and services and also some other features.