Data analytics provides the ability to drive the decision-making process. However, no decision should be made by data analytics alone. When deciding on how analytics can impact decisions to be made there are two specific categories: qualitative and quantitative analytics. Qualitative requires in-depth understanding of business processes and functions to determine reasons in certain conditions and events. Quantitative analysis requires statistical, mathematical and computational methods. I also find it helpful to form a business analysis process as part of the overall strategy of IT systems. The business analysis process includes.
- Problem Recognition
- Review previous problems and findings
- Data Collection
- Data Analysis
- Communicating and acting on results
- Business Decisions
AI & ML
Machine learning (ML) is a subset of AI, which focuses on a computer program that is able to parse data using specific algorithms. Such program modifies itself without human intervention, producing the desired output based on analyzed data. In essence, using ML techniques, a machine is trained to analyze huge amounts of data and then learn to perform specific tasks. Deep Learning (DL) is a subset of ML, whose algorithms and techniques are similar to machine learning, but capabilities are not analogous. In DL, a computer system is trained to perform classification tasks directly from sounds, texts, or images by using a large amount of labeled data, as well as neural network architectures.03.
Embedded & IoT
An important goal of embedded IT is to help software developers and other key technical personnel be able to translate business requirements into technical requirements. The approach, which places value on communication, can help foster an atmosphere of respect that emphasizes the importance of business goals and the ways technology can help achieve them. Advocates of embedded IT believe that the approach not only helps employees to identify and pursue new business opportunities, it also increases the likelihood that IT projects will be deployed successfully. Embedded IT can be contrasted with approaches that seek to centralize IT and consolidate data centers to save money and streamline management.04.
Health & Care
Health information technology includes various technologies that span from simple charting, to more advanced decision support and integration with medical technology. Health information technology presents numerous opportunities for improving and transforming healthcare which includes; reducing human errors, improving clinical outcomes, facilitating care coordination, improving practice efficiencies, and tracking data over time. Since the original IOM report was published, there has been an accelerated development and adoption of health information technology with varying degrees of evidence about the impact of health information technology on patient safety.05.
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