Data Analytics Services by IntelliSoft

Our experience in data analytics and AI allows us to handle different types of data, meeting the varying requirements across industries and domains. Here’s the list of data types we work with:

• Structured data. This type of information covers well-organized data with a clear format. Structured data can be found in traditional databases or structured files like CSVs, and it covers info from CRMs, inventory databases, and financial reports.
• Unstructured data. This includes textual information gathered from customer feedback, social media, various documents, and emails. We analyze the messages, themes, sentiments, and trends in the unstructured information to understand customer behavior and opinion better and help you navigate the market trends.
• Numerical data. Numerical data includes statistical and numerical information such as metrics, financial figures, and measurements. This data is then analyzed as it helps identify trends, forecast, and detect anomalies and issues.
• Time series data. Time series data covers sequential information points ordered chronologically. This data is often used in finance, monitoring systems, and forecasting, involving detecting patterns and trends over time, which is vital for predictive analytics.
• Geospatial data. This information is tied to geographical locations, encompassing maps, GPS data, and location-based services. Analyzing this type of information aids in understanding spatial relationships, logistics planning, and demographic patterns.
• Multimedia data. Multimedia data includes videos, images, and audio that are processed with the help of image recognition, speech-to-text services, and video analytics. We analyze this type of data to detect objects, understand content, and moderate it, and for other critical purposes.
• Streaming data. This is the real-time data that is continuously generated and analyzed as it is produced. Streaming data is especially important for real-time decision-making, that’s why it is used in financial trading, IoT apps, and monitoring systems.
• Sensor data. It encompasses information gathered from IoT devices and sensors that are used in healthcare, environmental monitoring, manufacturing, etc. Analyzing this type of information helps with anomaly detection, maintenance, and real-time monitoring.

Data analytics’ benefits are not limited to a specific industry. Almost any type of business can benefit from such services as they offer tailored advantages to address specific needs and challenges. Here’s a short overview of how data analytics and AI might benefit your industry or business:

• Retail and E-commerce. Data analytics in retail and e-commerce is used for making personalized recommendations and targeted marketing campaigns, improving customer engagement and conversion rates. Moreover, it is also used for inventory management as predictive analytics help optimize stock levels, reducing excess inventory and stockouts.
• Healthcare. In healthcare, a data and analytics strategy is used for predictive diagnostics: it enables healthcare practitioners to utilize patient info to predict potential health issues or provide early diagnoses through predictive analytics. Analyzing operational data also helps streamline processes, reduce wait times, and improve patient care.
• Finance and banking. These industries benefit from data analytics through fraud detection and risk assessment. Data analytics in financial services helps detect and prevent fraudulent activities, and data can be analyzed to assess credit risks and make more informed lending decisions.
• Manufacturing. If you work in the manufacturing industry, you can use data analytics for predictive maintenance and supply chain management. For example, it is possible to analyze sensor information from machinery to predict maintenance needs and prevent unplanned downtime. Using analytics can also enhance supply chain efficiency and minimize disruptions.
• Hospitality and tourism. Companies from the hospitality industry can benefit from data analytics as well by utilizing guest data to offer personalized services and enhance customer satisfaction. Moreover, analyzing historical information also helps predict demand fluctuations and optimize pricing and inventory.
• Telecommunications. Data analytics can be applied in telecommunications for network optimization and customer churn prediction. Firstly, you can analyze network data to improve service quality, predict potential issues, and optimize network performance. Secondly, you can use customer information to predict and prevent customer churn through targeted retention strategies.
• Education. Educational institutions use analytics for student performance analysis, identifying at-risk individuals, and provisioning targeted support. Moreover, data analytics help with the improvement of educational programs based on student performance information.
• Energy and utilities. Predictive maintenance is one of the main benefits of analytics applications in the energy and utilities sector, as it helps predict maintenance needs for infrastructure, reducing downtime and improving efficiency. Another benefit is that analytics helps optimize energy consumption and identify areas for efficiency improvements.

At IntelliSoft, data and analytics company, we value the security of your data above everything else. That is why we have a set of practices and measures that we employ in our data analytics strategy to ensure that your information is secure and protected from breaches, leaks, and other issues.

• Data encryption. We utilize various encryption methods to protect data both in transit and at rest. This involves encrypting information when it’s being transmitted and also when it’s stored on servers or databases.
• Access control and authentication. We implement strict access controls and multi-factor authentication to ensure that only authorized personnel can access sensitive data.
• Anonymization and pseudonymization. This involves removing or encrypting personally identifiable information (PII) from datasets to prevent the identification of individuals, ensuring privacy.
• Secure data transfer protocols. We use secure protocols for data transfer, such as HTTPS or SFTP, to protect information as it moves between systems.
• Regular security audits and updates. This involves frequent security audits, vulnerability assessments, and keeping systems up to date. We make sure that the systems have the latest security patches and are updated regularly to prevent breaches.
• Role-based access control (RBAC). RBAC is implemented to restrict data access based on job roles and responsibilities, limiting exposure to sensitive information.
• Data loss prevention (DLP) measures. DLP tools and policies are utilized to prevent accidental or intentional information leaks, monitor information flows, and prevent unauthorized transfers.
• Firewalls and intrusion detection systems (IDS). We deploy firewalls and IDS to monitor and control incoming and outgoing network traffic and identify and mitigate potential security threats.
• Employee training. Finally, we conduct regular training programs for our employees to educate them about data security best practices and the importance of maintaining data integrity.

Yes, as best big data analytics company, we can do that. Integrating information analytics into your existing systems or platforms is a streamlined process involving a comprehensive assessment of your current infrastructure to identify information sources and assess compatibility. We prepare and cleanse data, selecting appropriate analytics tools and techniques that align with your specific needs.

Through API integrations, custom development, or the utilization of analytics platforms compatible with your systems, we seamlessly integrate these analytics solutions. With our rigorous testing, we ensure accuracy before deployment, and we provide training and support to enable your team to effectively interpret and utilize the insights gained. Finally, we offer continuous maintenance and support to guarantee the smooth operation of integrated analytics within your systems, empowering your business to make informed decisions and optimize processes using data-driven insights.

Hiring remote developers at IntelliSoft, top data analytics company, is like assembling a dream team of coding virtuosos who have mastered the art of programming. You’re in for a treat when you bring these seasoned experts on board. Let’s explore the benefits of working with IntelliSoft:

Expertise at Your Disposal
Our programmers are true masters of all programming languages and frameworks. They have unlocked the secrets of software development, wielding their powers to craft code that’s efficient and highly secure. When creating our teams of developers, we choose the top talent, mostly senior developers, as we understand that our clients want the best experts they can find for their unique projects.

Portfolio of Successful Cases
Our experts have a proven track record of successfully completed projects. They have honed their skills through practical experience, which means they’re well-prepared to tackle your project’s specific requirements. We have successful cases in Logistics, Healthcare, EdTech, MarTech, and others. We’re also a Top Las Vegas and top Ukrainian software developer, as recognized by Clutch.co.

Long-Term Partnership
More than 80% of our clients have been with us for 5+ years. We value long-term partnerships, so we pay close attention to the quality of our work, its safety, maintenance, and support. Each developer you hire at IntelliSoft brings reliability and sheer excellence to the table, making you want to continue working with us.

Specialized Solutions
All of our programmers come with specialized skills in Machine Learning, Data Analytics, and Quality Assurance, ensuring a holistic approach to solving your business challenges. We can work on projects of any complexity, starting from MVP development to long-term complex projects, bringing your unique ideas to life.

Cutting-Edge Tech Stack
When you hire developers at IntelliSoft, you have a chance to work with experts proficient in the latest technologies, including Angular, .NET, ReactJS, MS SQL, and MongoDB. With this tech stack, we can create any type of project and ensure that it is competitive in the market.

Rigorous Hiring Process
Prior to joining the IntelliSoft family, every developer undergoes a comprehensive selection journey. This journey with a data analytics service company encompasses multiple stages of evaluation, both technical and soft skill assessments. This meticulous process guarantees that you can bring on board programmers who excel in technical prowess and shine as effective communicators and collaborative team players.

Let’s take a look at data analytics financial services benefits and how financial institutions can utilize them for business growth:

• Risk assessment and management. Data analytics financial services enable better risk assessment by analyzing vast datasets to identify patterns and trends, assisting in assessing credit risks, detecting fraudulent activities, and enhancing compliance measures.
• Personalized customer experiences. Through data analytics in financial services, financial institutions can understand customer behavior, preferences, and needs more comprehensively. This allows for personalized services, targeted marketing, and customized product recommendations, leading to higher customer satisfaction and retention.
• Fraud detection and prevention. Data analytics in financial services industry helps in identifying unusual patterns or discrepancies in transactions, aiding in the early detection and prevention of fraudulent activities, and safeguarding both the institution and its clients.
• Operational efficiency. Data analytics in financial services industry optimizes operational processes, reducing costs and improving efficiency. It helps streamline internal operations, automate tasks, and enhance overall productivity.
• Investment decisions and asset management. Financial institutions can utilize predictive analytics to make informed investment decisions. Analysis of market trends, historical info, and economic indicators assists in forecasting and strategizing for better asset management.