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IOT

The Internet of Things, together with other technologies such as Blockchain, is taking over the world. A large section of the data traffic reaching IP networks come from smart devices. Due to this, streaming analytics have become increasingly important for business intelligence platforms.

The challenge comes in the fact that IoT is dynamic and streaming analytics might fail to show consistency. Streaming data finds its use in three cases and IoT encompasses all the three. These are:

# Monitoring of activities
# Investigating anomalies
# Automating responses

For many years, data reporting and analysis have taken place in transaction systems, data warehouses, and marts. With so many other businesses moving to the internet, organization has turned real time. Businesses need real time alerts and insights into the progress of the business. Most businesses base their major decisions on data that is up to the minute. Yesterday’s data is already stale thanks to the upping competition in businesses online.

IoT Data in Saving Business Problems

The digital transformation and modernization of businesses has seen data move to the clouds. Such a move takes a lot of planning, vision, and resources. Most enterprises, including small and mid-size businesses, are moving workloads to the cloud. The challenge of moving to the cloud is that businesses have to deal with the ever increasing IoT data volume. Today, even the government is already considering IoT. Some government agencies are already using connected sensors for smart cities. Other agencies have already adopted IoT and are already seeing the benefits. The Department of Agriculture uses sensors to collect data through its National Agricultural Statistics Service. Whether in government agencies or private businesses, IoT offers so many opportunities in solving real problems. For businesses and agencies in government, the question remains whether they have the infrastructure to deal with the increasing data from IoT devices. Businesses have that have embraced IoT and are able track and analyse data are able to tailor their marketing and promotions to each customer in real time. These businesses can change the marketing messages based on the needs of the customer every minute.

Streaming Analytics in Real Time

When dealing with IoT devices, there are two ways to gain real insights from the IoT data – visual exploration and streaming data. Data visualization is important in creating strategies for safety and to propel businesses to the next level. It can also help organizations understand where cyber security threats are coming from and stop them before they get so serious.

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  • ST_4G V 1.0.0
  • ST_4G V 2.0.0
  • ST_MCCB V 1.3.0

ST_4G V 1.0.0


A 4G GPRS/GSM based Communication modem Standard addition for fixed formatted data from data source endpoint to transfer it destination server.

ST_MCCB V 1.3.0


Intelligent breaking system to control end point unit and protect from hazard

ST_4G V 2.0.0


A fully configurable 4G GPRS/GSM Communication modem as plug and play device with data source endpoint to transfer it destination server.