The Internet of Things is the biggest contributor to the huge amount of data created daily.
Data gravity, data integration and general security are such a major concerns for which data management strategies has been promoted. Mostly business leaders need an IoT Data Management Strategies to optimize and store the collected data and then implement IoT with its potential.
Cisco predicts that by 2020 the eruption of IoT will generate 600 Zettabytes annually of data. Most of the organizations use this obtained data for the analysis, maintenance, and to enhance the efficiency of operations. Businesses have a strong concern regarding security of this critical data.
To reduce the impact of cyber attacks and ensure data privacy, businesses need to implement data management strategy. IoT Data Management helps businesses to implement IoT Solution in secure and effective manner.
Let’s move towards a brief overview of challenges and benefits of IoT Data Management
Challenges for IoT Data Management:
Continuously increasing data volumes has been a concern for many years, while this can be managed by decreasing storage size and the cost of infrastructure.
Business leaders have to traverse how to share and optimize the collected data. For this purpose, business promoters have to take following points into consideration.
1. Whether existing infrastructure can handle huge amount of data.
2. Which platform should have used to manage the gathered data?
3. Who will access this data?
4. What will be expected data growth in next five years?
Above pointers will help business leaders understand infrastructure requires that support IoT Data Management.
With increasing data volumes another issue also has been evolved out i.e. Data gravity.
When volume of data increases in any one location, it acquires data gravity. With increasing number of IoT Applications, IoT data also increases even more.
IoT and Data Security:
Most of the Iot value comes from the interconnectivity, either wired or wireless, of processors, devices and storage at physical level and various applications and services that transform bits into a value.
It adds more value when this data shared safely to the appropriate interested users. In addition to this secure interconnection, organizations should also focus on data security.
Generation of large amount of data will leads to cybercriminal attacks that may access the crucial data. Hackers also target operational data, which may disable crucial processes in an organization.
Various network infirmities and threats such as malware attack may leads to illegally access of data.
Data security requires multi-sided approach, but at the most basic level; data encryption strategy can be a strongest denial. Encryption key management also provides an added level of data security by controlling key separately from encrypted data.
Benefits of IoT Data Management:
IoT data management will help to understand the utilization patterns of customers which will then incorporated into design and development of product stages.
With this businesses can easily recognize errors in present design and make changes accordingly.
IoT also enable businesses to carry required field test by which businesses can analyze potential wear and tear areas and expected product lifetime.
Sensors can be used to measure product performance parameters so that collected data can be used to improve upcoming version of products. This collected metrics will be helpful to identify possible defects and potential defeats in products.
IoT data help businesses to understand expected wear-and-tear and further plan for maintenance and services.
Organizations arrange a maintenance service for specific equipment if required. Where, some possible threats may not be discovered during audits.
In such case, IoT sensors can detect various features of equipment such as real-time heat, and moisture etc. Thus, businesses can carry out preventive maintenance of their product features to avoid possible defects and downtimes.
According to research, 80% of users are more likely to purchase products when businesses provides product with personalized experiences.
IoT data management techniques enable business leaders to examine user data. Customer data can be gathered over time and matched with machine learning platforms to estimate customer needs.
For example, a customer orders cloths during a specific time slot using an online shopping app, the app can send various cloths recommendations in that time slot.
The issues like data security, gravity can be solved by using IoT Management Platforms more effectively.Suchplatforms enable businesses to establish, attach, and scale their IoT infrastructure.
hIOTron offers an IoT Solution over such a platforms with End-To-End IoT Training online with which you can easily come up with a new ideas and techniques.