10 Data Science Companies To Watch In 2020

Data science consulting companies are a hot topic these days. Why shouldn’t they be? They offer various development opportunities, access to the most recent technologies, and give data-based answers for top organizations over the globe. In the course of the most recent years, the deceptive and exploitative ways that companies use buyer data have experienced harsh criticism. Subsequently, regulators are beginning to advance toward guaranteeing that data is gathered and partaken in a straightforward, assent based way, with the government’s data protection laws.

In any case, well-established and new companies are additionally using data sets that are gathered smartly in a manner that doesn't abuse security—to respond to more inquiries regarding our real life and make business progressively proficient, from evaluating health dangers in the healthcare sector to weather forecasting.

Are you looking for a job as a data scientist? Well, you’ve landed on the right page. Moving forward we will discuss the top 10 data science data, giants.

Ten Big Data Giants to Follow in 2020

Here are 10 organizations in the data science space that everyone should know about:

1. ClimaCell

ClimaCell is an American weather technology company that is planning to change the manner in which urban areas consider climate by foreseeing temperature, humidity, precipitation, rain or lightning. Its micro-weather forecasting product, called HyperCast, joins data from cell towers, road cameras, associated vehicles, and internet-of-things gadgets with NOAA radar data to get climate expectations that are unmistakably more granular than other anticipating administrations offer. ClimaCell repurposes wireless communication networks for prediction purposes.

2. Teradata

Established in 1974, Teradata has workers across 43 nations and around 1,400 clients. Teradata Corp. offers an analytic data platform, consulting services, marketing, and analytics application. Teradata encourages various organizations to get an incentive from their data. Teradata portfolio incorporates different Big Data applications, for example, Teradata QueryGrid, Teradata Viewpoint. Teradata Unity, and Teradata Listener.

3. Amazon

Amazon is the next big name in data sciences. We as a whole know it for its cloud computing-based services. They are not particularly behind either with regard to data sciences. Amazon offers job openings for data science experts. There are a great deal of products they offer, similar to Elastic MapReduce, the redshift, DynamoDB database, and some more.

4. Microsoft

The tech mammoths doesn’t need any introduction, Microsoft has spread its wing in the tech business. The association is worth around $1trillion! The Power BI works with the Microsoft Azure for analyzing data. Microsoft is the name everybody knows well indeed. Microsoft has entered the game with a portion of its data products. One of which is HDInsight, it was created in collaboration with Hortonworks. This product works for both structured and unstructured data.

5. Oracle

Oracle offers completely coordinated cloud applications, platform administrations with in excess of 420,000 clients and 136,000 workers across 145 nations. Oracle is the pioneer in the Big Data zone, it is additionally notable for its lead database. Oracle uses the advantages of big data keeping in mind the cloud platform. It encourages associations to characterize its data procedure and approach which incorporates big data and cloud technology. Oracle’s Big Data industry solutions target the developing interest for various businesses, for example, Health Care, Retail, Communications, Banking, Public Sector, and so forth.

6. Google

Google isn't behind other first-rate organizations when we talk about data science. We cannot imagine the amount of data Google handles in a day, it has developed algorithms for data mining and is one of the top-notch companies over the globe. Their latest tool BigQuery is an extremely proficient analytical tool. BigQuery is a serverless cloud-based platform, for storing and analyzing data. It has splendid speed as it can filter a large measure of data right away.

7. SAP

SAP is another organization that offers services in the data science industry. There are various services accessible yet HANA is a database that is incorporated with Hadoop and can work terabytes of data inside milliseconds. SAP’s software for ERP solutions has gained so much popularity and is not losing its sight in the future as well.

8. EMC

DELL EMC helps businesses to store, analyze and secure their data. It gives a foundation to get the desired business results from Big Data. It encourages the companies to comprehend client conduct, risks, and operations. Dell EMC has over half development with Data Analytics. This ground-breaking infrastructure gives your organization a serious edge and expanded income.

9. Salesforce

Salesforce is not only one of the biggest American companies offering cloud computing services, but it has also been causing a ripple effect with its enterprise-focused analytics software known as Salesforce Customer 360. The product is best suitable for CRM.

Salesforce's analytics software called Einstein is said to have the option to break down data and make prescient contributions to the eventual fate of a business. The organization has 35,000 workers and made $13.28 billion last year.

10. Trianz

Trianz is an American organization famous for Digital Transformations using advanced techniques. Established in 2001, it offers types of assistance in different domains like Software Testing, IT, Business Digitization, and considerably more. Trianz offers core services in Marketing Analytics, HR Analytics, Sales Analytics, Social Media Analytics, and Finance Analytics. The company offers different services like Digitalization, Infrastructure, Strategy and Assessment, Consulting and Implementation, Cloud Managed Services, and Security.

Looking Forward to a Career in Data Science?

The job of a data science is continually developing and a wide scope of duties are combing a separate path for them. Here is what you can do to land a job in data science:

• Enroll in a data science academy
• Take up courses and find out about the new technologies and their applications
• Build up your aptitude to use different tools
• Line up with the client plan and accomplish a fair comprehension of it

If you look at these companies, you will learn that the key to their success is consistency which helped in continuous improvement for their business. You need to be clear in what you want and then take baby steps towards your goals.

We wish you all the luck!