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Best Data-driven Companies in the US

  • Utsav Mishra
  • Dec 06, 2021
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Introduction

 

Data! This one word is more powerful than so many humans out there. No, it’s not in the definition, it’s in the application. We can define data as easily as “it is a set of information”. But then when we look around us and try to find out its applications, we realize the power of data. 

 

Ever wondered how after searching for a sweatshirt on either Amazon or Flipkart, you start getting ads of the same everywhere? What do you think is the reason behind these personalized ads? The data collected by these websites from your browsing history is the main reason behind these ads.

 

That’s how data works. Any kind of data can give out so much information that people don’t generally think about.

 

Most of the companies use this data for a lot of purposes, from research to using them and helping out other companies. Such companies are called data-driven companies.

 

In this blog, we are going to talk about the top data-driven companies in the United States. But before diving in, let us try to know what a data-driven company is.


 

What is a Data-Driven Company?

 

A "data-driven" strategy suggests that a corporation takes strategic decisions based on data analysis techniques and interpretation.

 

Companies can use a data-driven approach to review and organize their data in order to better serve their customers and consumers. 

 

An organization can contextualize and/or personalize its messaging to prospects and customers by leveraging data to drive its activities, resulting in a more customer-centric approach.

 

Simply defined, a data-driven business is one that not only acknowledges the value of gathering raw data but also recognizes that raw data alone cannot be used to make decisions.

 

Being really data-driven, on the other hand, entails delving further into the data gathered, improving it, and figuring out how to leverage the information gleaned from the data to generate growth and profitability. 

 

It entails working with the appropriate data whenever it is required, and it can take many forms, including observing customer behavior, evaluating demographic data, collecting survey results, and so on.

 

Let us now look at the top Data-driven companies of the United States.

 

(Related reading: Companies that Uses Big Data)

 

List of Data-Driven Companies

 

  1. Amazon

 

Amazon.com was formed in 1994 and is based in Washington, D.C. According to Forbes, the company has a market capitalization of $427 billion and sales of $135.99 billion as of May 2017. As of May 2017, the total number of employees was 341,400.

 

Amazon's cloud-based platform is well-known. It also sells Big Data solutions, the most popular of which being Hadoop-based Elastic MapReduce. Data warehouses that work with Amazon Web Services include the DynamoDB Big Data database, Redshift, and NoSQL.

 

Using Amazon Web Services, you can easily build and deploy a Big Data Analytics approach. AWS, which provides quick and easy access to low-cost IT resources, can be used to build these apps digitally. 

 

AWS facilitates the collection, analysis, storage, processing, and visualization of large amounts of data on the cloud.

 

(Learn How Amazon uses Big Data?)

 

 

  1. IBM

 

International Business Machines (IBM) is a New York-based American corporation. As of May 2017, IBM was ranked #43 on Forbes' list, with a market capitalization of $162.4 billion. The company's operations span 170 countries, and it is the largest employer in the world, employing roughly 414,400 people.

 

IBM made a profit of $11.9 billion on a $79.9 billion sale. For the 24th year in a row, IBM has the most patents generated by the company as per the report provided by www.forbes.com.

 

IBM is the leading provider of Big Data products and services. IBM Big Data solutions include tools for storing, managing, and analyzing data.

 

 

  1. Oracle 

 

With over 420,000 customers and 136,000 workers in 145 countries, Oracle provides fully integrated cloud applications and platform services. According to Forbes, it has a market valuation of $182.2 billion and sales of $37.4 billion. 

 

Oracle is the most powerful participant in the Data-driven space, and its flagship database is well-known. Oracle takes advantage of big data's advantages in cloud computing platforms. It aids businesses in defining their data strategy and approach, which includes big data and cloud computing.

 

It offers a business solution that makes use of Big Data Analytics tools, apps, and infrastructure to provide insight into logistics, fraud, and other issues. Oracle also offers industry-specific solutions to help your company take advantage of Big Data potential.

 

Oracle's Big Data industry solutions address the expanding demand in a variety of industries, including banking, health care, communications, government, and retail. Cloud computing, application development, and system integration are examples of technology solutions.

 

 

  1. Indium Software

 

With significant expertise in Application Engineering, Cloud Engineering, Data and Analytics, DevOps, Digital Assurance, and Gaming, Indium Software is a leading provider of Digital Engineering solutions.

 

Over the last decade, Indium has developed strong partnerships with over 100 clients across North America, India, Europe, and Asia-Pacific, including AWS, Mendix, Striim, and Denodo, as well as ecosystem partners such as AWS, Mendix, Striim, and Denodo.

 

Indium makes technology work for clients, driving demonstrable business value, with over 2000 colleagues deployed across numerous delivery locations in India and at client sites.

 

 

  1. iTechArt

 

Since 2002, iTechArt has been the go-to partner for fast-growing startups and innovative businesses, offering fully dedicated engineering teams and specialized software solutions. 

 

The company, which is based in New York, has over 200 active clients globally, with 90% of them working on the cutting edge of emerging technologies and markets. 

 

Their strength is nimble specialized teams of engineers who use tried-and-true big data development services to assist clients in managing data more effectively and efficiently.

 

Their Big Data Know-How:

 

  • Neural networks (artificial intelligence)

  • Techniques and applications of artificial intelligence

  • NLP

  • Development of IoT solutions

  • Cluster management for big data

  • Computing in parallel

  • GPU (graphics processing unit)

  • Data management

  • Batch and real-time processing

 

 

  1. Xplenty

 

Xplenty is a cloud-based data integration, ETL, and ELT platform that will improve data processing efficiency. It has the ability to connect all of your data sources. It will allow you to design basic data pipelines to your data lake that can be visualized.

 

The Big Data processing cloud solution from Xplenty will deliver rapid results for your organization, such as data flow design and work schedule. It can process both organized and unstructured data.

 

Organizations will be able to combine, analyze, and prepare data for cloud analysis using this platform. Xplenty will ensure that businesses can take advantage of big data prospects quickly and easily without having to invest in hardware, software, or employees.

 

Every company would be able to connect to a variety of data storage right away. With Xplenty, businesses will obtain a comprehensive collection of out-of-the-box data transformation components.

 

 

  1. Sigma Data Systems

 

Sigma recognizes the importance of each piece of data in today's environment and the future. Sigma was founded to share its knowledge in the field of Big Data! It contains predefined workshop patterns to grasp the problem, and it uses numerous tools and frameworks to give unique solutions to each customer.

 

Every day, most businesses struggle with quintillions of bytes of data, attempting to devise an information management strategy that can speed up the flow of insights. This adds to the complexity of their big data solutions, raising the cost of deployment and maintenance.

 

Big data engineering, on the other hand, is about making smart decisions that promote business growth, not about using every bit of data from every source.


 

(Must catch: Big Data Applications)

 

Lastly, Data is a really powerful tool nowadays. These Companies use data to provide different types of services and stay on top of the market. This alone summarizes what data has become in the last few years. 

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