Data Science, Predictive Analysis and Big Data PDF

1.INTRODUCTION:
This report was prepared together with a summary and analysis of the articles "Data Science,
Predictive Analysis and Big Data; Big Data Analytics and Supply Chain Management; How to
use big data to drive your supply chain". With the advancement of globalization and technology in
today's world, companies need to take innovative and sustainable steps to maintain their competitive
advantage with other companies in an economic sense. The analyses conducted in this study will talk
about the significant benefits that big data and technological tools will provide to both customers and
companies, as well as optimizing the supply chain. While discussing the summaries of the articles in
general, we will also explain the key concepts for our project. A number of specialized tools are used
when it comes to the implementation phase of the supply chain. These tools will be mentioned below.
1.1BIG DATA:
Big data is a resource that generates value from the storage and processing of large amounts of
digital information and cannot be analyzed by traditional computational techniques. For this reason,
calculation and analysis techniques specific to big data should be used.
1.2.PREDICTIVE ANALYSIS:
Predictive analysis, we can say that it is a sub-branch of advanced analytics used to make
predictions about future uncertain and unknown events using various scientific tools. Various
techniques such as data mining, statistics, modeling, machine learning and artificial intelligence are
used to perform this analysis. In predictive analysis, organizations arrive at proactive, forward-looking
modeling that predicts results and behavior based on data, not hunches or assumptions.
1.3.LEAN SUPPLY CHAIN MANAGEMENT:
The Lean Supply Chain (LSC) focuses on optimizing all stages in the supply chain, reducing
waste and simplifying the system. The main purpose of this model is to eliminate waste and create
value along the chain.
1.4. SUPPLY CHAIN ANALYTICS:

Supply chain analytics is a complex structure that enables organizations to derive value by
gaining insight from and using large amounts of data regarding the supply, processing, and distribution
of goods. One of the importance of SCA software is to optimize productivity based on predictions and
return to customers' demands, needs and expectations. With end-to-end supply chain analytics, the
supply process chain is integrated with its components at every stage, and all components can see the
process at every stage of the supply chain.
1.5.KEY PERFORMANCE INDICATORS:
KPIs allow quantitative and qualitative evaluation of the performance of supply chain
processes. These KPIs allow the process to be optimized by evaluating the cost and effectiveness of
the supply chain.
1.6.OUTSOURCING ANALYTICS:
This method is a system that enables continuous analytical evaluation of the supply chain and
improves network tuning. This system continuously provides output to optimize the organization at the
lowest costs. So here, the supply chain is not examined intermittently, but instead, the necessary
updates are made to continuously optimize the supply chain thanks to the outputs. Thanks to this
analytical system, the current internal supply chain organization focuses on daily business operations
and the use of this external analytics is necessary to observe the internal supply chain. It provides
control of the supply chain by sending the output to the design service provider.
The supply chain is a structure that provides information and financial flow as well as the
transfer of products from raw material suppliers to the end user. It is of great importance to use BDA
techniques in order to evolve this complex process into a process with added value and to minimize
procurement, transportation, storage and stocking costs. Because BDA can be applied to all areas of
SCM, it is also used in other activities of the supply chain. BDA helps and supports a wide variety of
supply chain activities. The implementation of BDA techniques helps with issues in the links between
supply chain data experts and business functions, such as processes and activities. For this reason,
BDA techniques should be used throughout the entire supply chain. With BDA applications,
companies can manage their demands in sales departments, increase the visibility of retail, delivery,
inventory, production and supplier data and manage supplier relations, plan and optimize demand-

production-supply-logistics-distribution activities. In addition, they can be moved to a positive point in
inventory planning. Thanks to these applications, coordination and cooperation between supply chain
units is ensured and decision-making processes are managed more smoothly and with the least cost.
2.EVALUATION:
At this stage, we will talk about how companies optimize their supply chains with big data and
applications, and how they integrate it into the supply chain to increase their profits.
2.1. ANALYSIS OF CONSUMER BEHAVIOR AND USAGE,PRODUCT
DESIGN,DEMAND PLANNING:
Businesses make significant investments in big data. Thanks to these investments, they
produce analysis reports on consumer behavior and the way the products are used and design the
supply chain accordingly. In this way, they protect and increase their market advantages with options
such as customized product design. With SCA, businesses that design products in a cheap and
differentiated way increase their profitability, because companies can produce the most economical
product that meets the quality standards they set by using these applications. By using big data,
companies can predict which items will be needed as it is related to demand and can make their
planning accordingly. Businesses can make important decisions such as new product designs, product
improvements or abandoning the supply of non-demanded products according to the demands of
customers. In this way, if it is determined which products sell well and which do not, the supply chain
is redesigned according to this analysis. In this way, companies can turn to more profitable products.
2.2.ENHANCED END-TO-END TRACEABILITY IN THE SUPPLY CHAIN:
Enhanced traceability enables businesses to better coordinate with supply chain stakeholders
to facilitate the distribution of products or orders. With product traceability, supply chain managers
can observe the entire process end-to-end and find faster solutions to unexpected events that may arise.
This saves time and money.
2.3. USING STRATEGIC SOURCES AND ENSURING SUCCESFUL AND
COORDINATED SUPPLY CHAIN COMMUNICATION: