Everything Data Analytics22 Sep 2020

[ Eps. 05 ] How Predictive Analytics is Shaping The Automotive Industry

At present, automotive companies are capable of collecting and analyzing an enormous amount of raw data. Advancements in data analytics and its fusion with the automotive industry has led to smarter, more connected vehicles, and drastic improvements in sales and marketing.

IHS Automotive has estimated that an average car produces approximately 30 terabytes of data daily. The onus is then on manufacturers to effectively use the data for competitive advantage. Since so much data is produced, the automotive industry today has turned into a data-driven industry. Thus, automobile manufacturers can use data analytics software to glean new insights into their business and make better decisions, which can then be used to maintain and expand market position and profits.

Thanks to the data-driven age we are living in, data analytics software is now able to help the automotive industry to design and build better cars today, and help make the cars of the future a reality.

HARNESS THE POWER OF DATA.

Outsmart your competition and sharpen your edge with actionable data insights. Join globally recognised brands and some of the worlds most innovative companies, who use Cubeware to transform their business through data.

For more info on Data Analytics for Automotive Industry, visit: https://www.cubeware.com/en/solutions/departments/manufacturing-and-production/

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[ Eps. 29 ] ETL (Extract, Transform, Load) Series: How Does the ETL Process Work?

Before any fruit and vegetables are sold in supermarkets, they are first harvested from various farms and orchards. Then, they are sorted into their respective categories, cleaned to remove any bacter...

13 Okt 20223min

[ Eps. 28 ] What is Data Quality?

In the food industry, quality control ensures that the meat, bread, and other edible items reaching you are of the best quality. Companies use various ways to manage this, from developing fixed produc...

11 Aug 20225min

[ Eps. 27 ] ETL (Extract, Transform, Load) Series: What is ETL?

ETL is defined as a method or process of extracting, transforming, and loading raw data from various sources into a single and centralized location. These can be data warehouses or other centralized d...

21 Juli 20223min

[ Eps. 26 ] A Success Story: The Future of Data Reporting

What do you do when you outgrow your reporting system? Meet Farmer X. They’re a manufacturer and distributor of organic foods. However, over the last decade, Farmer X experienced a huge sales growth ...

9 Juni 20223min

[ Eps. 25 ] Everything You Need to Know About Dark Data

What do people mean when they refer to Dark Data? And how is Dark Data different from regular data? Almost everything we do involves data —we’re either generating it or receiving it, whether we’re aw...

9 Juni 20226min

[ Eps. 24 ] What Are the Benefits of Prescriptive Analytics?

In our two previous videos, we discussed what Prescriptive Analytics is, how it works, and what its examples look like. To check them out, [What is Prescriptive Analytics?: Part 1] https://youtu.be/...

3 Mars 20224min

[ Eps. 23 ] What Are Examples of Prescriptive Analytics?

Prescriptive Analytics is a type of data analytics that recommends a course of action users should take in order to achieve a desired outcome or goal. It comes after the stages of descriptive and pred...

18 Feb 20224min