Do you know the 13 types of IoT Analytics?
Analytics is the inevitable game changer in today’s data-driven business and IoT world. Its impact is across fields – sports, banking, automotive, healthcare and government. Analytics is the ability to collect and use raw data to generate actionable insights that helps to arrive at informed fact-based decision-making. Data from every aspect of our life is now tracked and stored in data centers and analytics allows us to turn this data into valuable insights for businesses. Some examples:
- Organizations today are facing challenges to predict what the customers want and transform data into predictive insights to guide decisions and interactions
- Maximize and measure social media impact on the brand, services and product and campaigns
- Predict, detect and prevent threats, loss and fraud before they impact your organization
- Understand and predict the needs of the customers
- Measure and maximize the productivity of your people and processes.
- Application Analytics uses tools aimed at application developers for measuring usage and marketing analytics to better streamline the application offering.
- Campaign analytics utilizes tools for media companies aimed at usage and marketing analytics for mobile web or WAP (Wireless Application Protocol) sites plus campaign optimization tools.
- Service analytics employs dedicated platforms for mining network or device data to extract service intelligence aimed at network carriers.
- Web Analytics is the measurement, analysis, collection and reporting of web data for purposes of understanding and optimizing web usage.
- Mobile Analytics is the analysis of mobile traffic and insights over a mobile device.
- Social Analytics captures consumer activities and identifies patterns in their behaviors. This helps in delivering solutions that identify market trends and customer needs and preferences.
- Conversion (Testing, Attribution, Heatmaps) analytics techniques are used to understand how users are currently interacting with social sites, social media assets and apps.
- Dashboard and visualization drive business intelligence (BI) adoption across the organization with insightful dashboards and BI apps. These solutions can help you create mobile, highly interactive dashboards that are able to deliver trusted and aggregated pointers to your decision makers – anytime, anywhere.
- Auditing requirements – to effectively leverage data analytics and achieve continuous auditing within an internal audit function remains strong and amid today’s complex business needs.
- Real Time Analytics allows you to monitor activity as it happens on your site or applications. The reports are updated continuously. Typical usage is thru a dashboard or mobile app.
- Data Mining is a powerful new technology with great potential to help companies focus on the most important information in the data they have collected. Also called Big Data.
- Usability Experience (UX) Analytics focuses on having a deep understanding of the way users interact with a product. It also includes what users need, what they value, their abilities, and also their limitations.
- Competitor Analysis helps your social & SEO strategy with marketing analytics benchmarked against the competition.