The term big data refers to the science behind the processing of large volumes of data that are currently flooding industries due to the advancement of technology and the internet. This volume of data is studied and analysed in order to provide accurate and timely information that improves the decision-making process and the results of organizations in the short, medium, and long term.
Table of content
• Introduction
• The use of big data in the food industry
• The long-term goal of the smart factory
• Key data analytics capabilities
• Benefits of data analytics
• How data analytics affect business
• Conclusion
Introduction
Data analytics is a process that allows organizations to identify patterns, use information to make management decisions. Data analytics empowers companies to digitally transform their businesses and become more innovative. It promotes the movement of the organization forward and allows the implementation of progressive work algorithms everywhere. The analytics are applicable to various industries: insurance, finance, manufacturing, energy, healthcare, etc.
The use of big data in the food industry
The food industry, among many others, is an example of
how the benefits of big data are being used to increase profits. In the food production industry, which involves different links in the chain such as production, distribution, and delivery of the final product, Big Data can be used in practically all its activities, ranging from the analysis of ingredients and their impact on the demand to the consumption patterns of the diners.
The study of consumption patterns allows companies to offer products and services specifically designed for certain customer and consumer niches previously identified by Big Data.
An example of this is the fast food giant
McDonalds, which has become a data-centric organization using information from its systems to detect changes in user preferences and thus be able to offer flavours, offers, and products of greater demand according to each area where their establishments are located.
Creating clearer and more personalized actions and offers for the users of each local store is the great change provided by Big Data for the manufacturer of the Big Mac, in addition to the optimization of special services such as self-service, incorporating variations in the way in the one that serves each client using the information provided by these systems.
The face of the sector is changing slowly but steadily through the use of information and communication technology, which links all company levels with the connection of Internet technologies.
Technologies such as cloud computing, cognitive computing, virtual reality and the Internet of Things are gradually closing the gap between digital and physical areas and processes.
For the food industry, too, this means that the way products are sold, packaged and manufactured will change as well. like raw material production in the agricultural sector. It is therefore clear that the entire value chain from the pig farm in the Alps to the fully packaged product will be integrated into a virtual system and optimized through the use of ICT.
The long-term goal of the smart factory
The use of intelligent, networked systems not only allows improved collaboration between departments and organizations, but also optimizes production processes in terms of resource management and flexibility.
This creates a system that communicates intelligently in all directions across many interfaces and simplifies communication between man, machine and product from the IT level to the production level. In the smart factory, production systems independently provide information about current system and process states.
This data, in turn, is used automatically by the systems in order to communicate with one another and, if necessary, to intervene independently in the respective process in an optimizing or corrective manner.
Without a person having to actively intervene, the system automatically detects the free capacities and uses them if the demand side registers a need. On the demand side of the smart factory, in turn, an intelligent data management system operates that uses big data to access historical demand data and recognizes trends as they arise so that production can be adjusted in real time.
The potential at this point is enormous through IoT applications, because the demand for certain products can be planned in advance using connected weather simulation systems as well as intelligent household appliances such as refrigerators.
The high degree of self-sufficiency as well as the flexibility of the production processes lead to an optimal utilization of capacities, thereby minimizing downtime and downtime.
In addition, there is a reduction in the use of resources and energy, which in turn has a positive effect on the company's balance sheet.
Key data analytics capabilities
1. Business analytics and reporting:
Data Analysis is an information portal for any business. It creates dashboards and reports that managers, executives, and other employees rely on. They can help track business processes, revenues, disruptions, and more.
2. Data processing and preparation:
Analysis involves the processing and preparation of data that can be collected quickly and easily from a variety of sources.
It includes the collection of historical data, the creation of a model for building a forecast for the future.
4. Machine learning:
Automate analysis models using algorithms that explore data to optimize performance.
Benefits of data analytics
1. Process simplification and collaboration. Modern data analytics solutions simplify processes that were previously complex. And collaboration between specialists increases the efficiency and productivity of the entire company.
2. Search for anomalies. Analytics of business systems data allows you to find anomalies and make decisions to eliminate them. Growing volumes of data make it possible to constantly analyze, filter and summarize information.
3. Fast and correct answers. You can respond to events in a split second to quickly fix a problem that has appeared.
How data analytics affect business
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Data analytics allows you to improve the quality of service, create a corporate culture, and stimulate digital transformation.
- To maximize its value, a company must view data as a way to optimize results and stimulate informed decision making.
- Ultimately, data analytics will enable organizations to move from traditional reporting to more advanced analytics solutions in real time.
Conclusion
The great benefit of big data is that its offers can be adapted according to user preferences.
HData Systems provides outsourcing services for various companies. We use only modern technologies to achieve a business effect. Our team of project managers employs qualified employees, each of whom is a specialist in their field.
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