Every organization relies on data to inform decisions, support operations,feed automation, innovate, and scale.
When you apply knowledge management to big data, employees can eliminate time spent searching for the information they need to do their jobs for a marked improvement in productivity and decision-making.
Big data is a term to describe giant data sets that are too large for traditional software tools to capture, manage, and process
Big data may be gathered, stored, and used in these types of applications:
Data Warehousing
Big data Analytics
Business process management
Artificial Intelligence
IT Infrastructure
Big data usage by Industry:
87% - Telecommunication
76% - Financial Services
60% - Healthcare
81% of Filipinos watch TV, 71.6% watch at least once a week
ABS-CBN - 40.99%
GMA 7 - 39.73%
TV5 - 7.6%
CNN - .45%
Benefits of using Big Data and Knowledge Management:
Increases Efficiency and Growth
Improves pricingto create more value for customers
Improves the customer experience
Competitive intelligence
Improves customer acquisition and retention
Improves reliability and usability
Provides resource to employees
Improves forecasting innovation
According to Obitade (2019), organizations have long recognize Information Technology (IT) as an enabler of superior firm performace.
Three (3) Phases of Knowledge Management in Data Analytics:
Phase 1 - Knowledge Discovery
Phase 2 - Knowledge Creation
Phase 3 - Knowledge Application
Positivism - emphasizes objectivity and involves scientific methods, it says that data is the primary source of thruth
Constructivism - emphasizes the role of interpretation and social context. It says that people has different interpretation in the same data.
Pragmatism - focuses on the practical value of knowledge, it uses the most efficient way or method that produces the most useful result in specific situation.