Data Analytics And IoT- Take one good step away from the larger picture, and all of a sudden, it makes complete sense that the internet of things (IoT) are ideal devices to take full advantage of data analytics. Consider the features contained in devices these days: cameras, sensors, accelerometers — all of these can collect valuable and unique data that can be transformed into equally valuable and unique information and knowledge. The nature of IoT makes this collecting and sharing of data even more potent, as devices can share information between each other and aggregate newly married data with even greater potential for change and improvement.
A World Of Riches For Data Analysis
The process of data analysis thrives in environments that are generating data sets both large and small. This is where you seek patterns, trends and other statistics that reveal new secrets and behaviors to target and serve. While the world remains enchanted with their toys, you envision those devices as valuable tools:
• Data structures: Collected data may come as free-form (or unstructured), fully structured, or semi-structured; each type has its own intrinsic value that can be mined.
• Leading edge: While other businesses blissfully continue their older, less effective data-collection practices from limited sources (emails, newsletters, promotions, etc.), companies tapping into the fuller IoT potential maintain a greater lead in the marketing game.
• Revenue driven: A sharper and fuller glimpse into the personality and motivations of your prospects and clients can open new worlds of prospective sales opportunities.
• Volume: Visualize the difference between a dripping faucet and a full-force fire hose, and you can imagine the vast chasm between passive and casual data collection as compared to aggressive and complete data gathering; by virtue of volume alone you can make incredible gains.
It’s not enough to just stumble into a vast data paradise; the next equally important phase is determining which forms of data analytics are best served for each dataset.