What is big data analytics?
Big data analytics and artificial intelligence (AI) are tools to accomplish analytical feats that exceed regular human skills.
Big data analytics (BDA) refers to the techniques used for retrieving insights from large datasets.
BDA improves decision-making and increases organizational efficiency
BDA capabilities comes from an organization’s tangible resources, human skills, and intangible resources.
These three categories come from an organization’s:
- Basic resources,
- Data,
- Technology,
- Data-driven culture,
- Consistent organizational learning,
- Technical skills,
- Managerial skills.
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Get help with data analytics!
Approaches for insight extraction include:
- Descriptive analytics – the analysis of historical data to describe past events
- Predictive analytics – uses statistical modeling and machine learning to forecast possible events
- Prescriptive analytics – a combination of descriptive and predictive analytics to suggest the most appropriate action to complement business activities.
Choose from the list of services:
- Organizational process modeling,
- Descriptive analytics to analyze historical data and describe past events,
- Predictive analytics to use statistical modeling and machine learning for forecasting possible events,
- Including linear, multilinear, and nonlinear regression analysis to uncover hidden patterns, make better decisions faster,
- and much more!
Is big data analytics right for you?
Less than 20% of organizations globally use data to gain a competitive edge in their market.
Through big data analytics, organizations can extract insights and discern pattern significance.
Advanced analysis methods forecast future observations and illuminate hidden relationships.
Tools that enable businesses to uncover hidden patterns in their data, and to make faster and better decisions include:
- Data mining,
- Machine learning,
- Statistical analysis,
- Artificial neural networks (ANN),
- Rule-based systems
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