What is Big Data Analytics?
Big Data is a huge volume of data from multiple devices, which can be grouped, examined, and evaluated to obtain information to improve the efficiency of business operations.
Different Types of Big Data
Within the vast field of Big Data, we can find five values that demonstrate the versatility of the data used and the difficulty of processing and transforming it into relevant information for a company’s decision-making.
Volume
This data comes from the different devices linked to the logistics plant, and the data is generated automatically, which means analyzing a very large volume.
Variety
Currently, there are a wide variety of technological devices that are used, either wholly or partially, in the work environment, so their origins are very diverse. Social media, smartphones, bank transactions, etc.
Accuracy
With a large amount of data from different sources, a significant percentage of it arrives incomplete or incorrect, so its accuracy must be reviewed.
Speed
It must be taken into account that, with today’s high level of technology and the large number of devices, data is generated at an unimaginable speed, so its relevance tends to be perishable, with the rapid emergence of new data.
Value
Once the data has been collected and converted into information, it has significant value for companies that leverage it to improve their business strategy and stand out from the competition.
Where can we get the information from?
GPS
With geolocation, we can have a tracking history of the internal fleet (AGV/AMR, forklifts, etc.) and external fleet (trucks, containers, etc.), and with the extracted data, we can understand its efficiency and potential improved procedural routes.
RFID
With sensors, we can obtain data on the various processes and operations performed by different industrial equipment and even know how long a package has been in the logistics plant, allowing us to establish more efficient routes.
CMMS
With the various information entered into the software, data can be extracted and analyzed to prevent breakdowns and schedule preventive maintenance actions.
WMS
It is used to control warehouse management, and thanks to this software, we have data that helps us understand the stock in the warehouse, as well as its location, records of incoming and outgoing goods, etc.
CRM
With the data extracted from the CRM, we can gather customer information and predict demand, as well as understand their needs and improve products or services to increase sales.
With Big Data analytics, companies can improve their business strategies with better process management and efficiency.