Biology big data uses and everything in

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1. Big Data Use Cases NAME:CHERAN T REG NO :22CSU202 CLASS:3 RD YEAR B.SC(CS) ‘D’ SUBJECT:BIG DATA ANALYSIS DATE:03/07/2024

2. Big Data Use Cases Science + Use Case + Scale = Big Data. The key to exploiting Big Data Analytics is focusing on a compelling business opportunity as defined by a use case — WHAT (What exactly are we trying to do?); WHAT value is there in proving a hypothesis?
A use case is at the core of any big data strategy. Most people don’t get this. In most companies, the charter for big data will be given to those who already have responsibility for IT, business intelligence or marketing. But what happens after the CEO hands you the big data portfolio?

3. The challenge I found in most companies is not dearth of vision… everyone has a strategy and a 100,000 ft general view of the importance or value of data. Every executive can parrot the importance of data and being data-driven.
The challenge is the next step….so, how are you going to create new data products? How are you going to execute a data driven strategy? How are you going to monetize data assets? What are the right business use cases to focus on? How to map the use case to underlying models and data requirements? What platform is a good long-term bet? The devil is in these details.

4. Specific Use Cases Healthcare Providers :The challenge for hospitals, especially as cost pressures tighten, is to treat patients more efficiently, while improving quality and risk KPIs. In care coordination and home-care services, machine and instrument data is being increasingly leveraged to track and optimize treatment, patient flow, and equipment use in hospitals. It is estimated that a 1 percent efficiency gain could yield more than $63 billion in global health care savings. See this posting for more details.
Insurance : Individualize auto-insurance policies based on vehicle telemetry data. Insurer gains insight into customer’s driving habits delivering: (1) More accurate assessments of risks; (2) Individualized pricing based on actual individual customer driving habits; (3) Influence and motivate individual customers to improve their driving habits

5. Everyone is searching for new ways to turn data into $$$ (monetize data assets). Everyone is looking for new levers to extract value from data. But data ingesting and modeling is simply a means to an end. The end is not just more reports, dashboards, heatmaps , knowledge, or wisdom. The target is fact based decisions, guided machine learning and actions. Another target is arming users to do data discovery and insight generation without involving IT teams…so called User-Driven Business Intelligence.
In other words, what is the use case that shapes the context for “Raw Data -> Aggregated Data -> Intelligence -> Insights -> Decisions -> Operational Impact -> Financial Outcomes -> Value creation.” What are the right use cases for the emerging hybrid data ecosystem (with structured and unstructured data)?