Data
analytics services

Our team of skilled analysts, data scientists, and BI experts will share their insights gained as a result of deep research and many years of experience providing data and analytics services. Keep reading to learn about:

• challenges that we help our clients solve when implementing business intelligence
• reasons why you should choose Yalantis as your analytics services provider
• the tech stack our analytics services company offers

Technical challenges we can help you overcome on your way to business intelligence

Once you begin your business intelligence journey, our data analytics services company will gladly lead you through all the obstacles that might lurk on the horizon of data analytics implementation. You may face problems with the following implementations:

Data integration:

• Integrating data from various sources and systems (main database, third parties, external CRM systems, etc.)
• Building stable and secure approaches to data warehousing and ETL

Data quality:

• Ensuring the provision of accurate, complete, and consistent data to avoid inaccurate analyses and poor decisions
• Creating intuitive and user-friendly dashboards and reports that provide actionable insights to stakeholders

Scalability:

• Handling increasing data volumes and supporting more users
• Creating corresponding system architecture, data storage, and data processing algorithms to ensure fast performance under high load

Performance:

• Ensuring fast and responsive performance to support real-time analysis and decision-making
• Minimizing performance losses to the main production instances while handling a large amount of data

Security:

• Ensuring the security of sensitive data with robust security measures to prevent data breaches, hacking, and unauthorized system access
• Ensuring safe and secure data transportation, storage, and processing

Why choose Yalantis as your analytics service provider?

With our technical expertise in data integration, ETL, warehousing, visualization, reporting, and advanced analytics, we can help you build a data-driven decision-making process and provide a single source of truth with a relevant and up-to-date data supply. Our data and analytics company analyzes root causes and assesses risks to eliminate roadblocks to your business growth.

Advanced analytics expertise

We have extensive experience in advanced analytics, including machine learning, predictive modeling, and natural language processing:

• Effectively gathering, cleaning, and structuring data to harness predictive analytics for your business
• Identifying patterns, trends, and anomalies in data to develop predictive models that assist in making data-driven decisions
• Using statistical and machine learning tools and techniques to support risk and fraud management and improve operational efficiency

A single source of truth for deliberate and accurate decision-making insights

We are capable of building and utilizing a single source of truth for streamlined ETL operations (for example, creating a business dashboard to monitor and prevent fraudulent transactions or a marketing dashboard to run a referral campaign for acquisition needs).

Data visualization and reporting to make sense of big data

We have a deep understanding of data visualization tools and techniques and can implement intuitive and user-friendly dashboards and reports that deliver actionable insights to users. Our data governance and reporting expertise covers a wide range of areas, from standard financial reports to custom reports tailored to specific business needs.

We can also visualize data with reports and dashboards, facilitating data-driven decisions to tune product offerings (for example, by delivering insights on how users use a product or which features or components aren’t used at all or are used inappropriately). Our automated data aggregation solutions can aggregate data from multiple sources for an ultimate experience of real-time reports and business dashboards.

Big data and analytics technologies we use for your projects

These top technologies help us provide top-notch data analytics services:

Data storage:

• Hadoop. The Hadoop framework is designed to store, process, and analyze large volumes of data. Hadoop provides a distributed file system that can store large data sets across numerous nodes in a cluster. It also includes a processing framework called MapReduce that allows developers to write parallel processing algorithms to analyze large datasets.
• Cassandra. This is a highly scalable distributed NoSQL database management system for dealing with big volumes of data across lots of commodity servers while ensuring great availability and fault tolerance. Cassandra deals with all types of data and is optimized for write-heavy workloads with a focus on high throughput and low latency. It is commonly used in applications that require high availability, such as Internet of Things (IoT) platforms.

Data mining:

• Presto. This distributed SQL query engine is designed for processing large-scale data sets in data mining. Presto allows users to query data where it lives, without having to move the data into a separate system for analysis.

Data analytics:

• Spark. This distributed computing system is designed to work with data in-memory. As a result, it’s much faster than traditional disk-based data processing systems. It includes several libraries that enable developers to perform various tasks such as batch processing, real-time stream processing, machine learning, and graph processing.

Data visualization:

• QlikView. This business intelligence and data analytics software provides users with a powerful and flexible platform to analyze data, create interactive reports, and make data-driven decisions. QlikView offers a range of visualization options including charts, tables, and graphs, and allows users to explore data and gain insights through interactive filtering and selection tools.
• Tableau. This tool is used by businesses, analysts, and data scientists to analyze data and gain insights that can inform decisions. It also provides powerful data blending and cleansing capabilities, allowing users to combine and clean data from multiple sources.

AWS analytics services:

• Amazon Athena. This serverless query service allows users to analyze data in Amazon S3 using standard SQL queries without needing to set up and manage infrastructure or extract data to a separate analytics system.
• Amazon Redshift. This is a fully managed, petabyte-scale cloud-based data warehousing service that enables specialists to smoothly analyze big datasets using SQL queries for fast query performance.
• AWS Glue. This fully managed ETL service allows users to prepare and transform data for analytics and data warehousing applications. It provides a serverless, scalable, and cost-effective platform for processing and cleaning data from various sources.

Get in touch if you’ve decided to choose our data analytic services.