Top 10 Data Analytics Service Providers in 2020

Data analytics is a wider term that assesses both structured and unstructured data to derive actionable insights. The information can then be leveraged to optimize processes in order to bolster the overall business efficiency. Data analytics techniques are majorly used in industries like manufacturing, wherein manufacturers often record the runtime, downtime, and work queue for various machines. Today, almost every business across industries is heavily pouring capital towards data analytics as they shift their focus on accumulating, processing and utilizing data to improve effectiveness in business processes.

To meet those demands, there are a large number of data analytics companies, enabling businesses to analyze the data collected and use them as required. Here we have brought the top 10 players in data analytics space that are providing in-demand services.

Let’s have a look at the top 10 Data Analytics companies.

SAP

SAP is one of the leading giants in Business Intelligence. The company’s SAP HANA is widely powering in-memory data marts and data warehouses. The company offers solutions that cover various lines of businesses, including asset management, finance, human resources, commerce, manufacturing, marketing, sales, sourcing and procurement, supply chain, sustainability, research and development, and engineering. Its SAP Analytics Cloud integrates with its large range of SAP business applications and provides a unified platform for planning, analytical, and predictive capabilities.

ScienceSoft

ScienceSoft, a Texas-based software development solutions and services provider, offers solutions to enterprise and middle-market customers across multiple target industries. With the background rooted in science, the company builds on its legacy knowledge and grows it in the areas of CRM, Data Analysis, Collaboration & Knowledge Management and Information Security. Partnered with Microsoft, IBM, Oracle, Salesforce, Magento, Episerver and other tech leaders, the company ensures their clients will benefit from steady reliability and originality across solutions.

Oracle

Oracle is an integrated cloud applications and platform services. The company focuses on augmented analytics, leveraging natural language query and chatbot integration to deliver efficient customer experiences. Oracle provides a full-stack enterprise cloud featuring an integrated design experience for interactive analysis, reports, and dashboards. Its complete, open, and integrated solutions offer tremendous performance at the lowest cost. In February this year, Oracle introduced the Oracle Cloud Data Science Platform, built on the foundation of DataScience.com, which was acquired by Oracle two years back in 2018.

Informatica

Seated in Redwood City, CA, Informatica is a leading provider of data management solutions, in the Cloud, on-premise or in a hybrid environment to speed up data-driven digital transformation. The company provides its customers with the foresight to become more agile, grasp new growth opportunities, and create new inventions. With 100 percent focus on data, Informatics offers the versatility needed to succeed.

Amazon

E-commerce giant Amazon’s AWS offers over 50 services to store, process, and visualize data. The company also offers Amazon S3 for object storage, Amazon Glacier for backup and archiving, and AWS Glue for data cataloging. AWS delivers Amazon Athena for interactive analytics, Amazon Elastic MapRedue (EMR) for big data processing, Amazon Redshift for data warehousing, Amazon Kinesis for real-time analytics, Amazon Elasticsearch Service for operational analytics, and Amazon QuickSight for dashboards and visualizations.

IBM

Headquartered in Armonk, New York, with operations in more than 170 countries, IBM continues working to develop analytics capabilities, such as an IBM Cloud Pak Analytics Cartridges for scalable deployment of Cognos Analytics and IBM Watson applications. Last July, the company completed its US$34 billion acquisition of Red Hat, an open-source, enterprise software developer. With this deal, Red Hat’s open hybrid cloud technologies pave the way for IBM Cognos Analytics customers to migrate to the cloud.

Teradata

Teradata is a San Diego, CA-based provider of analytic data platforms, applications, and services for data warehousing and analytic technologies. The company delivers real-time, intelligent answers using relevant data, regardless of scale or volume of query. Its Teradata Vantage, a data intelligence platform, provides analytics, data lakes, and data warehouses and can be deployed on-premises, in the cloud, or in a hybrid model. The company’s Teradata QueryGrid, a data analytics fabric, delivers seamless data access, processing, and movement across multiple data sources.

Zoomdata

Based in Reston, VA, Zoomdata is a business intelligence software company which specializes in real-time data visualization of big data, streaming data, and multisource analysis. Its world’s fastest big data exploration, visualization, and analytics platform allows businesses to see and interact with data in all new ways. The company’s Zoomdata interface enables users to easily connect, visualize, and interact with data on bowsers and mobile devices.

Datavail

Datavail, a Broomfield, Colorado-based managed services company, provides remote database management facilities for businesses. With over 1,000 professionals helping clients build and manage applications and data, the company offers design and architecture, database administration, outsourcing, and staff augmentation services, along with providing support services, including monitoring, troubleshooting, incident management, corrective maintenance, service request fulfillment, installation, upgrade, backup, and recovery.

InData Labs

Founded in 20 in San Francisco, InData Labs is a data science firm and provider of AI-powered solutions with its own R&D center. The company is structured to support many flexible delivery models that can adapt to customer needs while maintaining speed and agility, with expertise in BI implementation, Big Data and ML modules integration; Extraction of data from documents with the use of Optical Character Recognition (OCR) and NLP technologies; AI research and development and staff augmentation; Technical consulting and development in the field of Machine Learning.