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DataRiseLab is a company specializing in the implementation of data management solutions, including data warehouses, integrations, transformations, and data modeling. We also create advanced reporting (BI, business applications) and analytical solutions using Machine Learning/AI in cloud infrastructure. Thanks to the combination of business and technology knowledge, we effectively support our c... Read More
Big Data is in our DNA
Dateonic was founded on a deep passion for Big Data and AI, with Databricks at the core of our innovation.
Our team of experts combines industry-leading knowledge with a product-focused approach, empowering organizations to turn raw data into actionable intelligence.
This commitment to excellence drives us to deliver cutting-edge solutions that unl... Read More
At Devapo, over 70 specialists is dedicated to helping you modernize the approach to business with the best technologies on the market.
Our mission is simple: to transform your business into an efficient, agile and scalable one. With our expert guidance and implementation of cutting-edge technologies, we will help you stay ahead of the competition and thrive in the future. r n r nAt Devap... Read More
We focus on optimizing your business processes. Thanks to simple applications, automation and robots, we create a holistic environment of tools that will take your company to the next level.
We build digital solutions for your company based on the capabilities of the Microsoft 365 and Power Platform, Google Workspace and AppSheet.
Don’t worry – we make every effort to ... Read More
Directio is a global IT services company. We consult, code, test, deploy, and manage mainly cloud-based and mobile applications. We provide around-the-clock support from our offices in Poland, the Philippines, Mexico, and the United States.
We address the unique challenges businesses face through consulting, developing, and rapidly delivering top-notch tech products. Our goal is to... Read More
DQOps is an open-source data quality platform designed for data quality and data engineering teams that makes data quality visible to business sponsors. r n r nThe platform provides an efficient user interface to quickly add data sources, configure data quality checks, and manage issues. DQOps comes with over 150 built-in data quality checks, but you can also design custom checks to detect any... Read More
We believe that UX is more than just creating prototypes. This is why we focus on understanding the needs of people and to align those into a business context. We are one of leading User Experience studios in Poland.
We support international companies, start-ups, governmental and non-governmental organisations. We are part of the Grant Thornton Group and a member of the internationa... Read More
eSourcing S.A. is a company specializing in the creation and outsourcing of proprietary IT systems supporting the banking sector and the POS payment terminal market. Since 2005, it has been providing comprehensive, efficient and ergonomic system solutions aimed at streamlining the business and operational processes of its clients. The company has unique competences in the production and impleme... Read More
WHO WE ARE
Evojam helps transform businesses with a range of consulting and software development services. We cater to innovative enterprises and startups seeking a partner in technology-driven business evolution. Our solutions are relative to your goals, reliable, and scalable.
The high-quality of our services is ensured by
MISSION STATEMENT
We help pragmatic innovators... Read More
Founded by former Spotify data engineers in 2014, GetInData consists of a team of experienced and passionate Big Data veterans with proven track of records.
Our mission is to help data-oriented organizations to succeed using open-source and cloud technologies such as Flink, Kafka, Spark, Hadoop, Google Cloud Platfrom by providing outsourcing, consulting and training se... Read More
The mission of Hogart Business Intelligence (HBI) is to deliver the latest innovative BI solutions implemented using best practices and methodologies. This provides our customers with effective analytical tools at best value for money and in shortest implementation times.
Holisticon Poland, consisting of two companies: Holisticon Connect (formerly Sigma IT Poland) and Holisticon Insight (formerly Nexer Insight Poland), stands at the forefront of digital transformation. Guided by strategic decisions and an unwavering commitment to excellence, our team of 250+ experts is committed to delivering innovative, client-focused solutions that drive impactful change acros... Read More
Ignited is a leading Data Science House based in Poland, specializing in successful Artificial Intelligence (AI) and Data Science (DS) tool implementations. From business analysis to deployment, we excel at crafting tailored AI-based solutions that not only comprehend but practically utilize artificial intelligence. Tackling even the most complex business challenges, we deliver 100% personalize... Read More
Financial Controlling, fractional CFO and Business intelligence services for startups, SME 's and Large Companies
We provide strategic finance support for your company to accelerate your business and margin growth. We implement automated reporting & dashboards to always stay up to date on your financial situation.
Our services include:
Infopulse (www.infopulse.com), part of the leading Nordic digital services company Tietoevry, is an international vendor of services in the areas of Software R&D, Application Management, Cloud & Infrastructure, and Cybersecurity to SMEs and Fortune 100 companies across the globe. Founded in 1991, the company has a team of over 2,000 professionals and is represented in 7 countries across... Read More
Good companies use data to make decisions. Great ones turn insights into smart, fast growth. That’s where we come in.
At Insightland, we turn raw data into real results. Our AI-powered products and services uncover the insights that actually move the needle – helping you scale faster, work smarter, and sell more.
Increase your sales with our data-driven strategies.
Our product... Read More
We help our clients innovate by providing professional software engineering services and technology advisory & architecture services. These include custom software development, data solutions, and team augmentation.
JCommerce is a modern IT consulting and software company, which provides its clients with professional software development services. Having been active on the IT market since 2005 and utilizing the long-term experience of its employees, JCommerce offers Business Intelligence services based on Qlik and Microsoft BI platforms, software testing services mainly in a Testing-as-a-Service model and... Read More
KLG Solutions – KnowLedge Geeks – our company is built on three guiding principles; passion, learning and innovation. These principles together with the dedicated people who implement them is what makes us different. We are a softwarehouse providing applications dedicated to end-users based on jointly developed assumptions, analysis, architecture through software development, testing and m... Read More
Communication strategy, programatic buying, plan & run campaign, research and analysis, mobile activities, video activities: - VR, spot and animation. Web development.
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Big data analytics is defined as the process of assessment of big data to uncover patterns, links, and market trends to help make informed decisions. It is the process of cleaning tremendous amounts of raw data through clustering, regression, etc., to create a powerful information asset for businesses. Big data analytics mainly comprises collecting, processing, cleaning, and analyzing data. -Identify and gather big data. -The structured or unstructured data is later organized, stored, and processed. -The next process is data cleansing, where the big data is cleaned to improve its quality and yield better results. -Valuable insights are gathered from Big data by applying suitable data analytics techniques and practices.
There are four main types of big data analytics: -Diagnostic Analytics: A process that analyzes the data to reason out why and how the data. -Descriptive Analytics: A process of analytics that finds out what and when the data is being collected. -Predictive Analytics: A process to discover what can happen in the future. -Prescriptive Analytics: A process to understand what you must do in the future.
The primary benefits of big data analytics are business efficiency, cost savings, a better understanding of the market and customers, and proactive functioning. Large and small businesses can use big data analytics to gather meaningful insights. The best big data analytics firms can help small enterprises make informed decisions and enhance business growth with suitable data analytics techniques and practices.
Big data analytics companies provide clients with different types of Analytics as a Service (AaaS), managed data analysis, consultation, analytics architectures, easy-to-use analytics solutions, and visualization services. In addition, top big data analytics firms also serve image analysis, data modernization, preparation and management, data storage, robotics, and computing solutions. A few advanced Big data solutions companies also provide development and tuning of machine learning models, data mining systems, AI solutions, and software development and data support services.
The following crucial factors can help you effectively choose the right big data analytics company for your business: - Summarize your big data analytics project requirements, including purpose, location, tech stack needed, deadlines, budget, and more. - Study the latest global market trends in big data analytics. - Decide the preferred location for your big data analytics consultants to ensure time-zone compatibility for better communication. - Search the best big data analytics companies from well-known and reliable listing pages like Top IT Firms, leveraging filters for location, services, industries, and your other preferences. - Contact the chosen companies to discuss the detailed project requirements, deadlines, budget, and the availability of big data analytics firms in your time zone. - Compare the shortlisted top big data companies based on their reviews, ratings, skills, experience, and pricing to choose the perfect big data service provider for your project.
Big data analytics costs $5,000 to $100,000, depending on the technologies used, the severity of customer support, and the types of analytical services. Companies also fix the overall prices based on required licenses, data storage, organizational data needs, data quality, customization features, etc. Confirm with your big data company to understand the costs and related features.
Most industries use big data to derive valuable insights and make informed business decisions. Big data companies offer services to healthcare and pharma, automobiles, IT, cloud computing, educational institutes, logistics and transportation, manufacturing, insurance, energy and utilities, retail and wholesale, and Government institutes. Based on their data size and requirements, big data companies serve various industries, from data gathering and analysis to generating valuable and meaningful data applications.
Hiring a big data developer can be overwhelming for a business. However, the process can be made simple by following these steps: -Define the goals and purpose of your project. -To shortlist a few big data development companies, refer to a reputed and reliable review and rating platform like Top IT Firms. -Compare the shortlisted companies against factors including experience, level of project complexities handled earlier, pricing structure, and reviews from genuine clients. - Make sure you discuss the timeline of the project, the scope, and the complexity of the project.
Whether you need to hire a big data analytics company or manage with an in-house team is a critical decision to manage your data efficiently. These depend upon your business size, data requirements, and future business goals. A dedicated IT staff or a well-trained and proficient team can be a cost-effective and more flexible option if you are a company with limited needs and specific data purposes. But, as the company grows, scaling your data capacity could be difficult. Due to this, hiring or outsourcing to a big data analytics firm has several advantages. Pivoting new trending services, testing different ideas, and trying multiple data architectures are much easier with an experienced, hired big data company. With access to all resources, tools, and technicians, users can expect minimum downtime and superior customer support. Outsourcing to the best big data analytics companies can be cost-effective with round-the-clock service.
The commonly encountered challenges of big data analytics are associated with high infrastructure costs, data acquisition, and analysis. Challenges related to real-time insights, data management, integration with existing systems, identification and elimination of data quality issues, right tool selection, poor knowledge of employees, etc., are also frequent while working with big data analytics. Since big data analytics companies have access to different resources such as highly skilled big data experts, data optimization tools, cyber security professionals, etc., they can help fix the challenges of big data analytics while ensuring optimum data quality and security. They are also proficient in migrating the IT infrastructure to the cloud to handle and analyze massive data sets effectively.