The data revolution of the 21st century has begun all over the world. This is the time when companies look for platforms to help in governing and securing big data. Data science is now flourishing, thanks to businesses in need for people to help in storing, processing, and extraction of structured and unstructured data.
Data-driven decision making is now becoming increasingly popular with companies, both big and small, looking for someone to understand and analyze the large chunks of data which are crucial for the smooth functioning of business processes.
So, what is data science?
It is the study of identifying, extracting and representing meaningful information from raw datasets for business determinations. In simple terms, it refers to obtaining anything that adds value, out of data. Formerly known as datalogy, it is a multidisciplinary field that uses concepts, theories, collective processes, tools, and technologies to extract information from raw data.
Who is a data scientist?
As defined by Harvard Business Review, a data scientist “is a high-ranking professional with the training and curiosity to make discoveries in the world of Big Data”. He is one who proactively collects information from various sources and analyzes it to understand the performance of a business. He builds AI and machine learning-based tools to automate specific processes within the company.
Advantages of data science to an organization:
- Tapping into different demographics.
- Reducing costs.
- Gauging the effectiveness of marketing campaigns.
- Understanding and entering into a new industry vertical.
- Launching new products or services.
Let’s now take a look at the top 10 global companies in 2019 which are looking for data scientists.
SalesForce, founded in 1999, focuses on the future of small business innovation. It delivers cloud-based enterprise software with a focus on Customer Relationship Management (CRM). It uses technologies such as cloud, AI, and Internet of Things (IoT). It aids companies to deliver personalized customer service and support. It helps companies connect with mobile employees, agents, and dispatchers through a centralized platform to track and manage jobs in real-time. Its Analytics Cloud helps explore business data from any device, anytime, anywhere.
Microsoft is the only company in the world today to be leading the tech market. It introduces new offers and technologies to help organizations build critical foundations for AI and cloud and navigate digital transformations. It offers the largest cloud networks in the world and provides fast and reliable connectivity across the globe. It is the fastest data warehouse in the cloud as it offers query performance that is two times faster with the help of Azure SQL Data Warehouse.
3. Nex Software
It deals with data science projects. They build data platforms which easily integrate the entire data of a business and helps mold it to suit specific work processes. It offers big data services, IoT, and software solutions to customers across the globe. Its objective is to deliver software systems which have a measurable impact on people’s lives.
It delivers intelligent technology for augmenting business performance. Technoligent accentuates the technology landscape through well-researched implementations based on Python, Java, Microsoft, Big data, Business Intelligence (BI), and mobility solutions. It offers outsourcing services to clients across various industries such as banking, healthcare, real estate, education, and e-learning.
It is one of the leading companies in the data science sector. It develops a data science studio. It is an advanced analytics software solution to help build and deliver products efficiently. In the words of Florian Douetteau, CEO of Dataiku, “it is very easy to grasp what AI can be for the consumer because when you are talking AI for the consumer, we are assuming about new powerful devices, new physical objects that are very different from the objects that we use on a daily basis. Probably most of the business organization processes that you have today, like handling a customer complaint, will be in the next five to 10 years transformed to AI.”
It delivers ingest technology for big data applications. It provides software to retrieve and transport long messages from files. The tool they provide helps to ingest, clean, and monitor data in motion, fuel real-time analysis, and address data drift. It offers advanced capabilities such as data drift handling for improving pipeline resiliency, delivery automation, and continuous integration, and the capability to manage data protection policies for security.
7. Aegis Soft Tech
It provides data management solutions and enterprise data-driven applications. They operate across various industries such as banking, healthcare, life sciences, government applications, business automation, and software development and integration. It provides services such as analytics and information management, enterprise mobility, business development processes, content management, cloud consulting services, and applications management.
It transforms big data into smart insights and creates high-definition enterprises which can anticipate and respond to change. It provides consumer insights solutions and cloud-based analytical intelligence solutions. It combines people, processes, and technology to fully-democratize data analytics and thereby empowering the high definition enterprise that makes smarter decisions and creates optimal business outcomes.
It is a company which offers enterprise application software. It serves lines of business such as human resources, manufacturing, asset management, commerce, supply chain, and research and development. Its technology, application and services segment is engaged in subscription to cloud applications, sales of software licenses, and other support services. Under its business network segment, it markets and sells cloud offerings such as SAP Fieldglass, Concur, and SAP Ariba.
10. InData Labs
It is a data science firm and AI-powered solutions provider which has its own R&D center and helps companies across the globe to find perfect solutions for their big data challenges. It provides consulting solutions and services to help companies gain insights into data, automate repetitive tasks, prevent cost overruns, enhance performance, and add AI-driven features.
In today’s business scenario, data science is the buzzword across numerous industry verticals. Big data (large datasets which may be analyzed to reveal patterns or trends) has made deep inroads into every industry sector. Today, skilled and certified analytics professionals are much in demand with the pay scales of data professionals growing at a whopping pace. It is considered one of the hottest jobs as their skill sets and knowledge from various backgrounds such as statistics, analytics, and mathematics aid in analyzing business patterns to help enterprises to recognize new market opportunities.
Data scientists are considered to be the superheroes as they gather, cleanse, organize, and manage data of companies through their intense skills. McKinsey & Company had rightly predicted that by 2018 the supply and requisite demand for analytical skills in the US will reach about 50-60%. The supply of data science scientists is low whereas the demand for them keeps increasing each day. Wait no more! Become a data science analyst and be in demand!