Utilization of Big Data in Business and Logistics Generally

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The use of big data in companies is currently growing rapidly with big data recording all data and activities that have been carried out and then the data is used for

1. Big data benefits are used as insight to be able to understand customers and markets more deeply

Many companies use big data to build Big Data analytics that can provide a 360° view of customers. This Big Data analytics collects data from various internal and external sources, then analyzes and presents it to customer service, sales and marketing to help them do their jobs.

Sophisticated big data platforms even have machine learning and AI features that can study customer behavior, this platform can provide opportunities for companies to cross-sell or up-sell customers on certain products and customers, big data analytics platforms can also predict whether their customers will be able to stop using the company’s products and move to competitors’ products, by knowing this information the company can make marketing strategies such as providing discounts, adding service quality and various other things that can make customers keep using the company’s products.

Some big data platforms can even detect customer emotions when dealing with customer service, these platforms can suggest appropriate responses for customer service to take appropriate follow-ups so as to make customers satisfied.

The sophistication of this big data analytic platform may sound unreasonable and too sophisticated to some people, but in fact many companies now have systems like this, companies can increase customer satisfaction and increase revenue and greater margins.

2. The use of big data in helping to make business strategies and pricing

With business intelligence tools on big data analytics, companies can do evaluation Using company financial data such as company revenue and customer transactions, with this data the company can be helped to determine a better business model and pricing and can increase company revenue by focusing on company products and services that have the highest profit potential.

3. Use of Big data to help control brand reputation on the internet

With big data sentiment analysis tools, companies can monitor what netizens talk about about their brand such as feedback, comments on company social media posts, statuses, photos uploaded by netizens related to products or company brands to be able to learn more details, You can read the article Using Big Data and AI for Brand monitoring


4. The advantages of big data for operational savings

By using big data tools such as Hadoop and cloud based analytic cost savings in business can be done, with large enough data there, these tools can help companies to analyze and also manage data more effectively.

In addition, by analyzing data such as operational costs and raw materials, companies can make improvements to expenses that are not too important and also create strategies so that operations can be even more efficient, such as finding cheaper and better quality raw material alternatives, using electronics that are economical. resources, outsourcing, and other things that can save operational costs.

5. Use of Big Data for Product Development

By using big data analytics, companies can see trends in customer needs and satisfaction so that they can be analyzed, developed and also implemented in order to increase customer satisfaction.


6. Ensuring the company recruits the right employees

Recruiters as well as HRD employees can make use of big data to scan portfolios and linkedin profiles using keywords that match the job description. In addition, recruiters can also determine the nature of prospective employees by scanning their social media so that they can produce better selection. appropriate.

7. Big data to increase company efficiency

Digital technology that uses big data such as Google Maps, Google Earth and social media can be used anywhere and anytime which can increase company efficiency, with Google maps online motorcycle taxi drivers or couriers can deliver packages quickly and precisely, with company social media able to interact with its customers at any time without incurring high costs for offline activities such as bazaars, open booths in malls or concerts.


8. The benefits of big data in increasing sales and also customer loyalty

Big data helps businesses grow and helps companies improve their services and products according to customer wishes, history of customer transactions recorded digitally can help companies to provide customers with more personalized products and services so as to make customers more loyal and can also increase sales .

9. Use of Big data to reduce decision-making time

With tools that work quickly, such as Hadoop and in-memory analytics, you can easily analyze large amounts of data, thereby speeding up the decision-making process.


10. Helping companies focus on local community preferences

With quite a number of customers spread across various cities, provinces and even countries, companies can find people’s preferences in certain areas by utilizing big data analytics. With the results of analysis from big data analytics, companies can create product and service strategies that suit people’s preferences in certain areas, for example in song recommendations on the Spotify application, each country must have song recommendations that differ in preference either from the language of the song or the type of song. .

Utilization of Big Data in Logistics

Information is now the main focus as a strategy in competing. Even now, not a few companies are trying to obtain and utilize data for the purposes of making decisions in business and operational activities accurately.

Some information related to customer preferences, predictions of the volume of sales created to optimize operating capacity, has become a necessity for managers to manage their business in the current competitive era.

In this case, data is the greatest resource and power for companies to manage their business to achieve success.

It’s just that, the availability of data is now so complex. Every manager faces the difficult task of sifting through mountains of data to find the insights they need to guide their company forward.

In the modern digital age, data can be obtained rapidly, easily, and in sufficient quantities thanks to widespread internet access, which has evolved into a number of communication-based systems (the Internet of Things, or IoT).

Big Data Value Dimension

When a company utilizes Big Data in a strategy to compete, the first question asked is what kind of Big Data can drive an increase in organizational value? On the basis of the value side of Big Data information, businesses can benefit in three ways by implementing Big Data: by improving the customer experience, by creating innovative business models, and by increasing operational efficiency.

Transparency gains, performance and quality enhancements, and resource utilization optimization are the three main outcomes of implementing Big data for operational efficiency. By analyzing customer interactions with a company’s products and services, businesses can provide a better experience for those customers.

The Average Data Rise Doubled in the Digital Age

Since the advent of digital technology, the amount of data available has multiplied by two, on average, every year. Compared to the 2,000 exabytes of data that were available in 2010, the 10,000 that were available in 2015 is a significant increase.

In proportion to the increasing volume of data, data also has substantially different characteristics compared to data characteristics that occurred in previous years. Some of them :

1. Data from Internet Connected Devices

The first large streams of data are obtained from various devices connected to the internet, such as RFID, sensor networks, smartphones and webcams. All of these devices.

2. Very Varied and Unstructured Data

Data currently available tends to be unstructured and highly variable, such as blog entries, voices, images, e-commerce catalogs, and discussion forums. The entire data is in large numbers, varied and obtained quickly. For this reason, it has matured to become a hallmark of Big Data. Companies are currently analyzing and managing Big Data to increase the value of decision-making information in business.

Benefits of Big Data in Logistics

Big Data analysis provides many competitive advantages in the logistics field, considering the different characteristics that can be applied in the logistics industry effectively.

1. Operational Optimization

Optimization of operational activities, including resource utilization, geographic coverage and delivery time is one of the strongest challenges in logistics. In order to manage logistics effectively, even for massive operations, data is necessary.

2. Delivery of Tangible Goods

Delivery of tangible goods requires direct consumer interaction during the delivery process and pick up goods. On a global scale, the large number of points of interaction with customers every day can provide opportunities for product feedback, market intelligence, and demographics. The existence of Big Data can provide a multifunctional tool in generating valuable insights regarding public sentiment and the quality of the product itself.

3. Synchronization with Business Customers

Modern logistics solutions have integrated the system into production and distribution processes in various industrial sectors. With tight customer operations, it tends to make logistics service providers feel the stretching of vertical markets, regions to individual businesses.

4. Information Network

Delivery and transport network in this case is the most important source of data. As well as leveraging data to optimize the network, data networks can provide valuable insights into the flows in the global flow of goods.

5. Global Coverage, Local Presence

Decentralized operation is a must in logistics services. The movement of transportation across the country has automatically collected a lot of local information along the transportation routes. Flow processing systems from Big Data in large delivery fleets provide valuable insights into traffic, demographics and neighborhood statistics.

Big Data Features That Will Help You In Logistical Problems

Better understand customer attitudes and actions with the help of a Big Data analytics system in retail. The omnichannel approach allows for a more customized shopping experience that also takes into account the user’s location. Capable of making real-time adjustments to pricing and special offers. Additionally, you can enable supply chain fulfillment.

Whereas savvy retailers use external and internal demand connected data to refine demand forecasts and analytical models in real time.