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EffectiveSoft provides a variety of data analytics solutions that enable companies to obtain additional value from data by uncovering hidden insights and provide an opportunity to make data-driven decisions. We equip our clients with a full range of services from data processing and visualization to machine learning algorithms and advanced analytics. As an experienced data analytics company, we find the best solutions for goals of any complexity. SERVICES solutions industries We offer data analytics services that fit the unique needs of any industry. technologies You need to start by analyzing the needs of your business and the requirements of the future system. Our business analysts team will be happy to assist you with this. It depends on the project. However, our best practice is to start with collecting business requirements and then we carry out an investigation. After that comes the first MVP and project extension. We can audit the current solution and point out its strengths and weaknesses. This allows us to propose a plan to improve the architecture, and then we finalize your data analysis system. Data analytics pricing is entirely based on your requirements and the tools needed to meet them. It also depends on the amount, nature, and quality of your data. Please contact us for a free project estimation. It always depends on the wishes of the customer and the ambitiousness of the project. The chosen architecture of the solution, the technologies, and tools used can also influence this. Can’t find the answer you are looking for? Tech stackData Analytics Services and Solutions
Data analytics services we offer
Data engineering and architecture Data architects create data models for OLAP and OLTP systems and implement them as databases, data warehouses, and data lakes. Based on these models, data engineers develop ETL/ELT processes, such as data collection, integration, cleaning, mapping, and aggregation. 
Data governance and management Data governance provides a process for managing the availability, usability, integrity, and security of data in enterprise systems, based on internal data standards and policies that also control data usage. 
Data science and machine learning Data scientists study data and how to extract meaning from it. Using a range of methods, algorithms, systems, and tools, they help businesses to extract knowledge from both structured and unstructured data, find hidden insights, and create predictive models to forecast the future based on available data. 
Data analytics, consulting, and reporting Data analytics’ main goal is to correctly interpret and explain the information available to draw correct conclusions. They look for cause-and-effect relationships, patterns, and trends. Then, they describe and visualize the results. Consultations and regular reports help businesses to make timely decisions. 
BI developers at EffectiveSoft are proficient in all the most popular BI tools, including Microsoft Power BI, Tableau, Qlik Sense, and many others. They will help you to select the best BI tool for your business and provide you with dashboards and reports of any complexity to meet your needs. 
Natural language processing Natural language processing is a subsection of computer science and AI dedicated to how computers analyze natural (human) languages. NLP allows you to apply machine learning algorithms to text and speech. Our in-house R&D department provides customized NLP services and offers a proprietary solution: Intellexer. This technology has a wide range of applications from text and unstructured data analysis to chat bots and voice assistants. 
Data and analytics solutions
01 Design and audit of architecture for data platforms We offer architecture design for data platforms based on the requirements and objectives of your business. There are various architectural concepts, and our specialists have experience in developing each of them: databases, data warehouses, data lakes, data mesh, and more. Furthermore, we can audit customers’ existing architecture to provide recommendations for its improvement.02 Development of data processing platforms Our company understands the importance of having a fast, scalable, and reliable data processing platform. The same architecture can be implemented using different approaches. Our specialists choose the most effective methods for building a data pipeline and developing ETL/ELT processes. A well-designed and realized platform opens wide opportunities for the further use of data.03 Development of analytical reporting systems Our BI Developers apply the best solutions and practices to create analytical reporting systems. Pre-processed data is visualized in the form of charts on dashboards and used as monitoring and analytics tools. In addition to dashboards, these systems allow automatic reports and notifications to be generated and sent to the end user.04 Design and implementation of AI solutions Our data scientists use a series of methods, algorithms, systems, and tools to uncover meaning and extract hidden value from structured and unstructured data. They have expertise in machine learning (recommendation systems, scoring systems, forecasting models, customer churn, fraud detection) and deep learning (NLP, computer vision).05 Data quality assurance We provide data quality assurance and assessment services which involves identifying and eliminating any data anomalies. Our specialists will ensure that all the data is relevant, accurate, and consistent. 
Building a data analytics team for different industries
The healthcare industry generates huge amounts of heterogeneous data; however, converting this data into insights for improving patient outcomes and work efficiency is challenging. Healthcare data analytics is designed to overcome the barriers to the widespread adoption of data-driven intelligence. Some of the use cases are care plan optimization, early disease detection, the personalization of care, and new drug discovery. 
Financial data analytics refers to an in-depth analysis of a company's financial data to gain a critical understanding of its financial condition. It allows companies to take the necessary measures to improve productivity. Our experts can boost your financial data analytics by applying multiple technologies which turn raw data into meaningful business insights. FinTech data analytics allow revenue monitoring, budget planning, risk forecasting, the identification of trends, and more. 
In logistics, data analytics increases the clarity of operations and provides better connectivity between networks in the supply chain. Our data department can help companies move towards data-driven logistics by providing tools for the optimization of complex processes, including predictive analytics, demand forecasting, capacity planning, order processing, route planning, and others. 
The amount of data that the media and entertainment industry generate daily is staggering. Today, businesses can monitor devices’ clicks, views, engagement, shares, and customer churn. All this data is vital for optimizing media stream scheduling, content monetization, effective ad targeting, and more. 
Data analytics enables manufacturing companies to improve productivity and profitability by utilizing the vast amounts of data generated by their equipment. With intuitive visualization tools, dashboards, ML algorithms, and advanced analytics, decision makers can turn data into powerful knowledge. 
In the gaming industry, data analytics is used to promote the gaming experience, improve user experience, increase playtime and engagement, and ensure fair play and fraud detection. 
In human resources management, data analytics is often used to help professionals to make more informed decisions about the future of their employees. EffectiveSoft provides data analytics tools that can improve nearly every area of human capital management. These tools can be applied in recruitment, employee training, talent retention, KPI monitoring, and more. 
Data tech stack
F.A.Q. for data analytics
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- A Pre-Sales Manager submits a comprehensive project proposal. It may include estimates, timelines, lists of CVs, etc., for a particular situation.
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