Top Big Data Analytics Companies
Are you searching for ‘Best Big Data Analytics Companies’? GoodFirms in-depth research will help you in your quest for leading business intelligence companies and big data analytics consulting company. Businesses are searching for best business intelligence consulting services that can assist them in big data analytics to ultimately make the right business decisions. There are several companies that claim to be the best in this domain. To help enterprises pick the right firm, GoodFirms has curated a list of top data analytics companies. Check the below list of most promising contenders in the Big Data industry that helps businesses adopt data analytics in the right way:
List of Top Big Data Companies | Best Big Data Analytics Firms
SPEC INDIA is an ISO/IEC 27001:2013 company with 30+ years of established experience. We specialize in Custom Software Development, Web & Mobile Apps Development, BI & Analytics Solutions, Automation & Security Testing, Legacy Software Migration, Product Engineering, and IoT Solutions. SPEC INDIA has a team of 300+ Consultants, who are committed to delivering Quality Solutions to Global Customers. Our Extended Development Centers and Innovative Onshore/Offshore Models help us service Fortune 500 companies, SME’s and Startup... read more
Sigma understands the criticality of each piece of data in today’s world and in the next generation. Sigma was born to give its expertise in the world of Big Data! It has pre-define workshop patterns to understand the problem based on this it provides unique solutions to every customer using various tools and frameworks.
Avenga is a global IT and digital transformation consultancy serving verticals such as pharma & life science, insurance and finance. Avenga has more than 2500 professionals with offices in Germany, Poland, Ukraine, the U.S., and Malaysia. Services include digital strategy & CX, custom software development, staffing, as well as Salesforce consulting, big data, and cloud solutions.
We are Idealogic Idealogic is a full-cycle software development firm based in Kyiv, Ukraine with strong expertise in product design, custom software development, QA assurance, and post-release support in Fintech, Logistics, Retail, and Business Intelligence areas. We are focused on the partnership with startup founders and entrepreneurs that are keen on the development of their ideas in a flexible and transparent way with an affordable budget. Why Idealogic? We do care about each project as our own. Firstly, you will think it'... read more
7EDGE is a custom app development company. Our core strength lies in the development of Web & Mobile applications using emerging technologies, which include Angular, Node, Java, Ruby on Rails, Native Android, iOS and AWS. By strategically leveraging this technology stack, our application modernisation services have helped organizations upgrade entire legacy application portfolios to modern platforms that deliver rich functionality and flexibility while mitigating project and operational risks. Over the last 10 years, we have been an inte... read more
Custom software development to achieve your business goals. MobiDev provides end-to-end delivery from a Business/Technical consulting and design stage to product support. 10 years of experience in native and cross-platform Mobile Development. MobiDev Data Science team builds machine learning models, trains complex deep neural networks and applies computer vision algorithms to bring the value for your business. AI isn’t rocket science if we have data and the understanding of the problem we ... read more
Light IT is a Data Science company that provides innovative software solutions for startups and enterprises. We offer more than just software development, we focus on clients’ needs, go deep into requirements to suggest improvements, plan our workflow to reduce the budget, and never miss the deadlines. For over 14 years on the market, we have delivered 500+ custom solutions for companies from Europe, United States, Canada, Japan, China, and many others. Services we provide: Custom software development IT consulting Web dev... read more
A Product Engineering and Technology Services company provides Digital enterprise services and solutions with DevOps , Big Data Engineering , Data Analytics , Cloud Migration ,Machine learning and Data Science Xenonstack provides Cloud Consulting , Cloud Migration with AWS ,Google Cloud and Azure Cloud Competency
HQSoftware is a trusted international custom software developer that brings Digital Transformation into your business. We specialize in IoT, Big Data, AI, Machine Learning, AR and VR solutions, web and mobile application development, and provide dedicated development teams to help you evolve. We deliver all-around services from consulting and prototyping to maintenance and enhancement. The company provides services to manufacturing, healthcare, financial, education & e-learning, insurance, and other industries. Since 2001, we have del... read more
LatentView Analytics is one of the world’s largest and fastest growing digital analytics firms. We help companies drive digital transformation by helping them combine digital and traditional data to gain a competitive advantage. LatentView provides a 360-degree view of the digital consumer, enabling companies to predict new revenue streams, anticipate product trends and popularity, improve customer retention rates and optimize investment decisions.
Helping Innovative Companies Think Big with Big Data since 2010. Think Big, start smart and scale fast with our industry-leading expert services and solutions. Turn your big data opportunities into returns that will position your organization ahead of the competition.
Data inspires us. Our mission is to automate every hard data task, from prep to blending, to discovery, so everyone can work with data.
Qlik® delivers intuitive platform solutions for self-service data visualization, guided analytics applications, embedded analytics and reporting to approximately 45,000 customers worldwide.
InData Labs is a 50 people strong data science firm and AI-powered solutions provider with its own R&D center that helps companies across the world to find perfect solutions to their big data challenges. Since 2014, we have successfully implemented numerous projects for various industries: 40+ projects worldwide Logistics, Healthcare and Wellness, Marketing and Advertising, Entertainment, E-commerce, Banking and Finance, Energy and Utilities, E-learning, Legal Services, etc Analytical software, predictive models,... read more
TIBCO fuels digital business by enabling better decisions and faster, smarter actions through the TIBCO Connected Intelligence Cloud. From APIs and systems to devices and people, we interconnect everything, capture data in real time wherever it is, and augment the intelligence of your business through analytical insights.
datapine is a young innovative company located in the heart of Berlin. We are developing a highly scalable SaaS tool that will revolutionize the way of performing database analysis by making even complex functionalities available to non-technical persons. With our product, we aim to become the innovation leader in the business intelligence market for small and medium-sized companies.
At Datameer, we’re obsessed with making data the most valuable asset in any organization. We believe that when people have unconstrained access to explore massive amounts of data at the speed of thought, they can make data-driven decisions that can wholly impact the future of any business.
Users miss critical events in the data every day. With access to too many reports and dashboards, it is impossible for them to monitor every metric, all the time. Push Intelligence works by integrating with your existing data, applications, and BI solutions ensuring your data gets the audience it deserves.
For over 40 years we have been developing highly advanced computing solutions for the world’s most complex science, engineering and analytics challenges. We work with our customers and users to understand what they’re trying to do and what problems they can’t solve with existing technologies. Then we develop complete supercomputing solutions that help them address their otherwise unanswerable questions.
Pyramid Analytics is a global BI&A leader offering an analytics platform that helps companies compete as world-class data-driven organizations. Pyramid Analytics offers Pyramid 2018, a server-based, multi-user Analytics OS that supports the full self-service analytics workflow across six modules. Pyramid 2018 propels your organization’s strategic data vision and cultivates analytics excellence throughout the business
At Dimensional Insight we handle complexity better than anyone. Since 1989, we’ve been developing and deploying our business intelligence solutions for complex, highly-regulated and compliance-driven industries such as healthcare, manufacturing and beverage alcohol. With over 2,600 customers in 31 countries, we’re proud of our history of delivering industry-specific insights.
Phocas Software has been voted #1 across 24 categories in the world's largest business intelligence software survey. Phocas Software is a leading business intelligence software firm created by Myles Glashier and Paul Magee in 1999.
Periscope Data builds analytics software that turns data teams into superheroes. Our Unified Data Platform is the industry’s first to address the complete analytics lifecycle, allowing data teams to ingest, store, analyze, visualize and report on data all from one connected platform. This empowers them to collaborate and drive faster insight, while allowing businesses to foster a data-driven culture around a single source of truth.
Ducen IT helps Business and IT users of Fortune 1000 companies with advanced analytics, business intelligence and data management through its unique end-to-end data science platform called Analance. Analance is an enterprise-class, state of the art integrated platform that delivers power and ease of use to business users and data scientists with a seamless experience and platform scalability to support business growth and strategy. Analance Use Cases: https://analance.ducenit.com/solutions Free Assessment: https://analance.ducenit.com/solut... read more
Sumo Logic is a secure, cloud-native, machine data analytics service, delivering real-time, continuous intelligence from structured, semi-structured and unstructured data across the entire application lifecycle and stack.
CBIG’s team of consultants, analysts, and data architects work with enterprises like yours to build a roadmap to success with Business Intelligence and Big Data Analytics. Regardless of the state of your data, CBIG Consulting can help get you on the right track and start delivering results.
We provide predictive and explorative analytics. We help you take strong scientific decisions for your business by providing the best business analytics to steer your business in the right direction. We're passionate about helping businesses improve their decision-making process by implementing the data-based scientific approach.
Empirical Path is led by seasoned online marketers with advanced degrees who personally deliver client engagements, from contracting and implementation through reporting and recommendations.
We help businesses use data to become leaner, make smarter, faster decisions and solve complex business problems. Our vision is to help our clients to become passionate advocates of data-driven decision making through making it quick and easy to put your data to work and get it out into the hands of the frontline.
At SCI-BI we believe, “Cleaner Data Drives Accurate Reporting”. We insist on Data Quality at all stages of our Integration process. Our methodology involves thorough scrutiny of data to report the right data, capturing erroneous data at early stages, and push very hard towards “Single Version of the Truth”.
Experfy is an intellectual powerhouse where industry thought leaders are combining consulting and teaching to reinvent the future. We provide free consultations to help you scope your project needs and provide 10x the savings over traditional consulting firms. If there is a skills gap in your workforce, we offer a powerful learning platform for upskilling based on industry use-cases.
Tiger Analytics is an advanced analytics and AI consulting firm enabling enterprises to generate business value through data. Today, we are the trusted data sciences and data engineering partner for several Fortune 100 companies, who are leaders in their respective industries.
At Gainsight, we reject the idea that work and life are mutually exclusive. Our team members are passionate about what they do, and we strive to create an environment that brings that passion to life. We’re a diverse, brilliant, quirky group of people united by five core values:
ThoughtSpot’s AI-Driven analytics platform puts the power of a thousand analysts in every business person's hands. With ThoughtSpot, you can use search to easily analyze your data or automatically get trusted insights pushed to you with a single click. ThoughtSpot connects with any on-premise, cloud, big data, or desktop data source and deploys 85 percent faster than legacy technologies.
At Trifacta, we’re focused on building software that helps individuals and organizations unlock the potential of their data by providing a new approach to how data is explored and prepared for analysis. Whether you’re trying to improve the efficiency of an existing analysis process or utilize new sources of data for an analytics initiative, Trifacta’s data wrangling solutions will empower you to do more with data of all shapes and sizes.
Informatica is a leading independent software provider focused on delivering transformative innovation for the future of all things data. Organizations around the world rely on Informatica to realize their information potential and drive top business imperatives. Enterprises depend on Informatica to fully leverage their information assets.
DataTorrent enables organizations to accelerate business outcomes through rapid deployment of enterprise hardened, fast big data analytics applications using the latest innovations in operationalization, data science and machine learning.
Gaining actionable insight requires the best analytical tools and access to all relevant data. 1010data offers a complete solution that provides both, with the only out-of-the-box, self-service, cross-enterprise insights platform. More than 850 of the world’s largest companies trust 1010data to manage, share and analyze over 32 trillion rows of data because of the company’s proven ability to deliver results more quickly, easily and accurately than any other solution.
All BI companies can tell customers what happened. Yellowfin tells them why it happened. Yellowfin is a global Business Intelligence (BI) and analytics platform dedicated to solving real enterprise analytics challenges, and helping business people understand not only what happened, but why it happened.
Agilisium, is an ardent endeavour to deliver a stable, secure and scalable Cloud & Data foundation, on which you can confidently explore your business data. And, our Analytics Services enable you to uncover ‘digital’ opportunities, to create better products & services for your customers.
Hadoolytics is a global consulting and software development company with a laser focus on Cloud & Big Data services and solutions. We have a dual shore presence that combines on-site consulting expertise with strong offshore software development capabilities, which allows us to deliver value at each step of a customer’s Cloud and Big Data journey.
We are independent and specialized in data analytics, big data, machine learning and artificial intelligence.
Alpine Data is the provider of Alpine Chorus - the world’s most comprehensive Advanced Analytics Platform for Big Data and Hadoop. Leaders in all industries, from Financial Services to Healthcare, use our software and services to enable their employees to build, deploy and consume analytic applications and insights in one collaborative environment.
Zoomdata, creators of the industry’s fastest visual analytics for Big Data platform, lets business users see and interact with data in all new ways. Designed mobile and touch first, its patented micro-query architecture delivers results in real-time and gives users a single plane for bridging old data and new data.
With more than 1600 employees globally, Impetus is focused on creating new ways of analyzing data for businesses—helping them gain key business insights across the enterprise. We bring together a unique mix of Data Science capabilities and technology expertise across the Big Data ecosystem including Hadoop, NoSQL, NewSQL, MPP databases, machine learning, and innovative visualization.
Allerin is a internet of things (IOT) development solutions provider that delivers the most innovative and agile solutions that enable you to automate, inspire and impress. From design to development to delivery, we are the most efficient in the business. We dedicate hours of painstaking analysis to develop solutions that not only cater to our customers’ current requirements but also scale seamlessly for future needs. Most importantly, we always aim to build solutions that focus on increasing your productivity.
DataStax powers the Right-Now Enterprise with the always-on, distributed cloud database built on Apache Cassandra™ and designed for hybrid cloud.
Our deep expertise in providing end-to-end Big Data Analytics Solutions with the implementation of Data Science Technologies has enabled fortune 500+ companies across different sectors & regions to improve their operational efficiencies, respond quickly to emerging marketing trends & gain a competitive advantage over their competitors. We understand the complexity of every business and so our Big Data developer team at Consagous follows a strategic approach to provide real-time analytics and produce meaningful information for your brand... read more
We at CodeBright believe in improving the world using technology. We work with startups, small/large companies as well as non-profit organizations to bring Minimal Viable Products (MVPs) to the market, improve/streamline/automate business processes, raise efficiency/productivity, reduce costs and more. The award winning team is capable of handling a wide variaty of complex software development projects that involve integration with other systems (CRMs, ERPs), analysis of large masses of data ... read more
Octal IT Solution is a global IT service provider having a strong presence in UK, USA, Singapore and India. The company has the reputation of delivering niche solutions in the areas of web and mobile app development. Octal has repeatedly prescribed quality as its virtue. With the ISO 9001:2008 certification and strict discipline towards the prominent quality standards, the company has produced flawless results since last decade. In its history of ten years, Octal has earned notable associations from technology leaders like Microsoft, NASSC... read more
- What is Big Data?
- What Are the Benefits of Big Data Analytics?
- How Does Big Data Assists in Risk Mitigation?
- Which Are the Most Prominent Big Data Technologies?
- Which Are the Most Famous Big Data Tools?
- Which Industries Are Defined by Big Data Analytics?
- How to Shortlist the Top Big Data Analytics Companies?
- GoodFirms Research Process:
Big data definition refers to the vast volume of structured as well as unstructured data available. The quantity of data is so large that it becomes impossible to churn using conventional database and software techniques. In this age of digital advancements, data plays a crucial role in changing the landscape of business processes. With the unlimited availability of information concerning potential customers and their purchasing habits, companies require big data and business intelligence to essentially analyze the data and update their risk management practices to match the current scenarios.
Here are four significant ways big data assists businesses in achieving their goals.
1. Decision Making:
The principal advantage of employing Big Data Analytics is that it boosts the decision-making process prominently. Big data analytics companies gather all the available data and organize them aptly in order for their client to make well-informed decisions. Big data solutions include the assessment of a number of customer-centric factors such as market trends, client requirements, competitors' strategies, etc. promoting a sound decision-making process.
Big data analytics consulting companies help businesses in updating current products to accommodate the changing trends. The big data systems collect massive amounts of data, allowing businesses to identify and curate new and innovative products to fit their customer base. Rather than just relying on their instincts, enterprises can now assemble their customers' feedback and product reviews to modify their solutions and deliver what the customers want.
3. Targeted Marketing:
With each industry shifting towards providing customer-centric solutions, it is imperative that organizations recognize the right target demographic and market their product accordingly. To achieve this, businesses require extensive data pertaining to customer patterns. These patterns can further help the service providers in presenting hyper-personalized experience to their clients and ensuring customer loyalty. Big data analytics can also predict what related products the customers may like, allowing companies to plan their marketing tactics accordingly.
4. Competitive Edge:
The availability of a vast range of service providers can make it challenging for decision-makers to create a name for themselves in the market. Whether a business is well-established or relatively new, it needs comprehensive intelligence to scan the market and traverse subsequently. Big data analytics solutions level the playing field for each participant, providing the upcoming players a chance to transcend their competitors.
By implementing big data solutions within their organization, businesses are more apt to identify potential threats. Big data management creates a risk prediction model, significantly contributing to mitigate risks without investing extensively.
1. Identifying Trends and Risk Factors:
The big data companies aid businesses in distinguishing current and forthcoming trends amongst their consumers. The statistical analysis enables new companies to build detailed business strategies. At the same time, established corporations can identify alterations in the behavior of the users in the early stages, making it possible to influence the business to a new direction. Analytics delivered by the big data companies can also pin-point the factors that cause customers to abandon the product or brand, thereby helping to reduce and counter high attrition rates.
2. Operational Risks:
There are several risks that a business has to traverse on a daily basis, which also includes decisions on the business location, target market as well as targeted audience, employee retention, data management, etc. With an expert big data system, organizations can easily recognize the key risk indicators (KRIs). Big data services introduce dynamic processes to measure, analyze, and visualize these KRIs to determine the course of action. Big data analytics services grant businesses complete control of the data, allowing full automation of systems to reduce manual intercession.
3. Recognizing Potential Fraud:
Whether companies are dealing with the personal data of their clients or financial transactions, the threat of being under attack from external sources is constant. Big data analytics companies offer solutions to cross-check a large amount of internal and external data quickly. This affords fast and accurate identification and reduces the chances of fraudulent activity. Besides, businesses can also identify risks and scams during audits and assess potential partners or vendors, thereby ensuring a successful association with other organizations without being deceived.
4. Financial Risk Management:
Big data analytics consulting companies establish a system in place that can effectively identify fraudulent financial actions such as attempts at money laundering, loan scams, etc. By locating suspicious issues rapidly, big data companies can help their clients avoid financial losses. Big data analytics produces statistics after carefully studying the market, business model, competitors, etc. to evaluate market risks and asset-liability. This is especially beneficial for financial organizations dealing with upcoming enterprises in determining whether the investment will bring profit to each participating stakeholders.
Businesses must understand the different types of big data services available and how they are beneficial for their project before investing. Therefore, check out the five most notable big data services:
1. Data Analytics:
Data analytics attributes to the process of analyzing raw information and uncovering patterns to obtain valuable insights using them. This data could either be historic or recently acquired. Data analytics employs algorithmic methods by using several datasets to drive conclusions. With data analytics, businesses can easily map customer requirements and boost sales.
2. Data Science:
Data science deals with unstructured and structured data that the experts collect, segregate, and interpret. Data science firms hold authority in distinguishing and eliminating unusual, insignificant, and risky data to simplify the task of data analysis. Data science uses statistics, programming, problem-solving, and other such abilities to equip decision-makers with accurate information and empower them to make informed choices.
3. Data Mining:
Data mining refers to the process of extracting useful patterns from the large sets of data available. Its core focus is on establishing previously undiscovered relationships amongst the available information. However, for successful data mining results, a vast and diverse database is imperative. Relational databases, text mining, and web mining are the different types of data mining processes.
4. Data Warehousing:
Data warehousing is an essential section in managing data from heterogeneous sources. It serves as electronic storage of a substantial amount of data that is designed for analysis. Whether the accumulated data is structured or unstructured, it can be stored in the cloud data warehouse, available to the user whenever summoned. It is ideal for decision-makers who rely on vast amounts of data.
5. Edge Computing:
Edge computing is the revolutionary method that brings data closer to the devices while safeguarding it from latency issues. It facilitates the data analysis at the source of the data instead of the centralized servers and systems. Edge computing also ensures additional data security as the information does not travel across the network.
Hadoop is an open-source framework developed by Apache. It is an ideal big data tool to scale data operations from a single server to multiple servers due to its ability to process large volumes of data available across clusters of networks.
Qubole is a cloud data platform created by the combined venture of Facebook’s Big Data infrastructure and Apache Hive. It extends big data services at a reduced price compared to other big data tools. Qubole offers features like intuitive GUI, optimized hive, auto-scaling, etc.
HPCC is developed by LexisNexis Risk Solution employing HPCC (High-Performance Computing Cluster) systems. HPCC enhances scalability and performance since it is easy to learn, upgrade, and program. It simplifies data processing with features like data profiling, data cleansing, data management tools, etc.
In this era of technology, most organizations are incorporating big data platforms within their current business model. Their primary goal is to improve consumers’ experience in addition to better-targeted marketing, cost reduction, and enhancing the efficiency of existing products. The top industries revolutionizing their processes via big data are as follows:
1. Big Data in Healthcare:
The contribution of big data analytics ranks high in the advancement of the healthcare industry. Big data in healthcare, when combined with specialized equipment that tracks vitals of the patients, can simplify diagnoses. Technologies such as wearable devices, disease mapping, and predictive analytics, etc. can change the way the patients are treated and can save countless lives. Big data analytics solutions with wearable devices allow comprehensive data collection and empower doctors with patients' information detailing the current as well as past medical history. As an example of big data in healthcare, Beth Israel Deaconess Medical Center (BIDMC) of Boston, collects data from millions of patients and use evidence-based medicine to identify high-risk patients and significant diseases.
2. Big Data in Banking:
The banking sector can highly benefit from big data solutions. Bank customers can easily track and assess transaction histories and analyze upcoming bills and payments. Moreover, banks can easily study the shift in the market by studying the years of information and invest funds in projects that are most likely to be successful. Big data companies provide solutions to the banks against scams by preventing identity thefts and identifying fraudulent patterns. Big data systems are also beneficial in preventing money laundering, loan scams, etc.
3. Big Data in Education:
In the education industry, one of the biggest challenges is to bring together the vast amount of information available and compartmentalize it. Integrating big data, institutes can monitor the students’ progress by tracking student logs, the hours spent on the system, providing additional worksheets, etc. Moreover, big data can be used to optimize the effectiveness of the institute by analyzing the performance of the teachers and measure it against the number of students to derive the right proportion. It is also a practical module to help students select the correct course by studying student demographics, their aspirations, subject matter, and other such variables. The University of Tasmania is one of the best examples of big data as it has developed a specialized Learning and Management System to properly use the data.
4. Big Data in Retail:
Retailers must always comprehend what their customers need and when they need it to stay ahead of their competitors. Big data analytics ensure customer retention by providing the insights required to meet their expectations and keep them happy. Data analytics companies can help establishments create a personalized shopping experience for their clientele by studying their preferences and purchasing patterns. Big data management also optimizes operational tasks, facilitates timely analysis of inventory, identifies repeat customers, and offers loyalty programs, as well as forecast demands. Retailers can also figure out potential reasons for losing clients and work on bypassing such situations.
5. Big Data in Transportation:
GPS or Global Positioning System has simplified transportation across the world. Big data firms can collect huge amounts of data from these location-based systems to create a safe, on-time, and comfortable journey for travelers. Transportation companies can outline customer journeys and provide them with personalized information to manage travel time, find the connecting vehicle, etc. Passengers may aptly find alternate routes, real-time seat availability, etc. Big data can additionally be used for traffic control, route planning, track mileage, logistics, and many more. Cities across the world such as Dublin, Stockholm, Da Nang, etc. have implemented big data to manage traffic and congestion, exhibiting an example of big data in road management.
Enterprises need to primarily understand their business objectives and then select a big data analytics company that is capable of turning those objectives into concrete results.
It is crucial to find big data firms with the capacity to scale their solutions based upon the size of your project as well as the number of resources you require. Inquire the big data company whether they process sufficient technology and storage capacity that is capable of accommodating your projects as it grows.
One of the chief benefits of big data analytics is that it substantially lowers the operational cost of the business by storing, maintaining, and analyzing data sets. However, if the cost of hiring a big data agency is more than your current expenses, then it might not be a profitable decision. Ask about all the services offered data analytics companies and then assess your funds to shortlist the ideal company offering the big data solutions within your budget.
While hiring a big data firm, question them about their security policies. Inquire about how do the data analytics companies ensure digital integrity and data authenticity? What is their plan of action against the potential threats of hacking or tampering? It is advisable to opt for an NDA to ensure that there is no leakage of data from the big data analytics consulting companies
Customers must request testimonials for the existing and previous clients. This will permit you to gauge their expertise in the field as well as their quality in delivering big data solutions. Moreover, check out the recommendations offered by past clients attributed to the big data company by exploring independent review and rating platforms, such as GoodFirms, to receive accurate customer feedback.
Another vital factor in determining the right big data analytics partner is the accessibility of the big data analytics solution designed by the service provider. If the layout and usage of the big data platform are excessively complex for you and your staff, then it can be challenging to achieve the right application of the big data system. Also, watch out for a big data system that provides in detail reports complete with charts, graphs, and journey outlines.
Based on your project, you may additionally inquire about other features offered by the big data company such as data compression, restricted or authorized access to the information, easy setup, tag-less solutions, etc.
The main goal of GoodFirms is to help service seekers connect with the best big data analytics consulting companies available across the globe. The list, as mentioned above, includes a wide variety of data analytics companies capable of delivering the kind of big data solutions you require. These companies are evaluated based on three vital criteria viz. Quality, Reliability, and Ability. These criteria are further subdivided to demonstrate the market penetration of the enterprises, their portfolio, the reviews and feedback received from genuine clients as well as their system integration and business intelligence & big data analytics.
GoodFirms urges established and novel big data agencies to provide proof of their achievements to grab a spot in our 'Research’ section. By getting listed, companies enhance their chances of receiving quality leads and boost conversions, as well as build a name for themselves in the industry.