Looking for a top big data companies in the USA? DataWider top to bottom research will support you to pick the right leading business intelligence & big data analytics consulting company that can help you in big data services & data analytics to make the perfect decision for your business.
We will help you to find the best big data solutions provider for your business. We do have curated a list of 10 most promising big data analytics companies after extensive research based on their genuine client reviews, loyalty, and flexibility.
List of 10 Most Promising Best Big Data Companies
- LatentView Analytics
- Marlabs Inc.
- Indium Software
- ScienceSoft USA Corporation
- Tiger Analytics
- ThirdEye Data Inc.
We should see a few insights regarding these companies.
1) LatentView Analytics
LatentView is a leading global analytics and decision sciences provider, delivering solutions that help companies drive digital transformation & use data to gain a competitive advantage. With analytics solutions that provide a 360-degree view of the digital consumer, fuel machine learning capabilities and support artificial intelligence initiatives.,
Experts In: Marketing Analytics, Business Analytics, Supply Chain Analytics, Risk Analytics, Customer Analytics, Advanced Analytics, Big Data, Social Media Analytics, Predictive Analytics, Data Analytics, Artificial Intelligence, and Machine Learning
Qlik® delivers intuitive platform solutions for self-service data visualization, guided analytics applications, embedded analytics & reporting to approximately 45,000 customers worldwide. Companies of all sizes, across all industries and geographies, use Qlik solutions to visualize and explore information, generate insight and make better decisions.
Experts In: BI, business intelligence, analysis, dashboards, reporting, visual analytics, data discovery, big data, data visualizations, Qlik Sense, QlikView, data literacy, data analytics, and analytics
3) Marlabs Inc.
Marlabs helps companies adopt digital transformation using Digital360 – a comprehensive digital framework comprising of Digital Product Engineering, Digital Automation, Enterprise Analytics, Cloud, Digital Security and Digital User Experience; delivering a next-generation Digital Customer Experience. Digital Product Engineering, Digital Automation, Enterprise Analytics, Artificial Intelligence, Business Intelligence, Cloud Computing, Digital Security, Digital Customer Experience
Experts In: Internet of Things, Artificial Intelligence, Big Data, Business Intelligence, Data Analysis, Data Science, Machine Learning, Predictive Analytics, Enterprise Analytics, Blockchain, Digital Transformation, Digital Product Engineering & Digital Automation
4) Indium Software
Indium Software is a technology solutions company committed to delivering exceptional, customer-centric solutions across Big Data Engineering & Analytics, Product Development, and Independent QA. Big Data Engineering – Setup & configure big data platforms, build a data warehouse, data lake, and BI platforms. Enable migration from on-prem to cloud (AWS, Google Cloud, Microsoft Azure ) to optimize the total cost of ownership (TCO). Data Analytics – Analytics from data visualization & dashboards to AI & ML based Advanced analytics such as text, image & voice.
Experts In: Big Data Engineering, Predictive Analytics, Descriptive Analytics, Deep Learning, Machine Learning, API Testing, Text Analytics, Mendix Development, Data Warehousing, Image & Video Analytics, Blockchain Development, Alpha Software Development, Software Testing Services, Data Analytics Solutions, Big Data Consulting, & Product Development Company
We are a company driven by inquisitive data scientists, have developed a pragmatic and interdisciplinary approach, which has evolved over the decades working with over 100 clients across multiple industries. Combining several Data Science techniques from statistics, machine learning, deep learning, decision science, cognitive science, and business intelligence, with our ecosystem of technology platforms, we have produced unprecedented solutions. Welcome to the Data Science Analytics team that can do it all, from architecture to algorithms.
Expert In: Advanced Analytics, Data Science, Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, Prescriptive Analytics, Big Data, DataStax, Databricks (Spark), Cloudera, Hortonworks, R, SAS, Matlab, SPSS, MapR, Data Visualizations, Dashboards, & Data Management
The impetus is focused on creating big business impact through big data solutions for Fortune 1000 enterprises. The company offers a unique mix of software products, consulting services, data science capabilities, and technology expertise. Leverage our big data solutions for automated warehouse transformation (Impetus Workload Transformation Solution), real-time streaming and batch analytics (StreamAnalytix,) and rapid application development on Spark (StreamAnalytix Lite).
Expert In: Big Data, Data Warehouse Modernization, Data Analytics, Big Data Analytics, Data Science, Big Data Consulting, Big Data Implementation, workload transformation & real-time analytics
7) ScienceSoft USA Corporation
Founded in 1989, ScienceSoft is a US-headquartered provider of IT consulting services and custom software development. Among our customers are Walmart, IBM, Nestle, eBay and NASA JPL, as well as many other large and midsize organizations located internationally. We are a go-to vendor for custom and platform-based development in the areas of CRM, Data Analysis, Collaboration & Knowledge Management, and Information Security. Testing and quality assurance services are broadly represented in our portfolio as well as 24/7 support for IT infrastructure and applications.
Expert In: Data analysis, Image analysis, Custom software & Mobile app development, SharePoint & Full-cycle software QA
8) Tiger Analytics
Tiger Analytics is advanced analytics and AI consulting company enabling enterprises to generate measurable business value through data. Today, we are the trusted data sciences and data engineering partner for several Fortune 500 companies, who are leaders in their respective industries. We bring deep expertise in marketing science, customer analytics, and operations & planning analytics.
Expert In: Data Analytics, Predictive Modeling, Digital Marketing Analytics, Forecasting, Pricing and revenue optimization, Customer Analytics, Social Media Analytics, Big Data, Data Science, Machine Learning, and AI & Deep Learning
9) ThirdEye Data Inc.
ThirdEye answers your data questions and offers actionable insights, real-world experiences & strategic recommendations.
Data Engineering Services: Our Data Engineering Services transform organizational knowledge into insights for more informed and timely business decisions with the best possible TCO.
Data Science Services: Data Science Services from a Big Data perspective. We implement end-to-end Big Data solutions that entirely assimilate Data Sciences for higher business value.
Expert In: Big Data, Hadoop, Business Intelligence, Analytics, Bluemix, MapReduce, HBase, Hive, Amazon, Microsoft, Cloud computing, Kafka, data sciences, artificial intelligence, machine learning, azure, data engineering, deep learning, apache-spark, spark ml, MongoDB, impala, Google Cloud Computing, data science, AI, and Azure
Platform Strategy and Development, Cloud Native Transformation, Enterprise DevOps, Data and AI Strategy and Solutions Digital enterprise services and solutions with DevOps, Big Data Engineering, Data Analytics, Cloud Migration, Machine learning and Data Science’
Expert In: Spark Streaming, ElasticSearch , Scrapy ,Hadoop Cluster, Machine Learning, Python ,NLP ,MatLab, Data Science, DevOps, BigData, Managed Services, Artificial Intelligence, Cloud Migrations, DataOps, Machine learning, Deep Learning, Kubernetes, Docker, Cloud Security, Security Assessment, Data Visualization, Advanced Analytics, Managed Security, Big Data Solutions, Big Data Security, Big Data Analytics, and Cloud-Native Applications
Big Data is a new technology in the world of information technology which allows the processing, storage, and analysis of data in various forms/formats, large amounts and very fast data addition.
From historical sales data to social media feedback, retailers are using a wide variety of data sets to customize messaging, products, and experiences that customers will respond to.
Here are some types of methods or techniques for conducting big data analysis:
Thus the discussion of big data analysis, hopefully, can be useful.
Big data can be applied in various forms of systems or applications. It can also be processed directly by yourself. However, for big data, people need specific abilities to process it.