IoT Analytics Solutions and Services

IoT Analytics Services

IoT analytics enables companies to draw actionable insights from data generated by the devices connected to the IoT cloud. With 34 years of experience in data analytics and 12 years in IoT, ScienceSoft helps companies implement reliable IoT analytics solutions and provides IoT analytics as a service.

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Why Choose ScienceSoft

  • 34 years in data analytics and data science.
  • 12 years in IoT and comprehensive expertise in delivering IoT solutions.
  • 10 years of big data consulting and implementation practice.
  •  Microsoft partner since 2008. 
  • AWS Select Consulting Partner.
  • A member of the Oracle Partner Network.
  • Featured among 10 Fastest Growing Data Analytics Companies and 10 Fastest Growing IoT Companies by the Silicon Review.​​​​
  • Services in line with ISO 9001-certified quality management system.
  • ISO 27001 ensured security of customer information.

Service Options

Implementation of IoT analytics solutions

For businesses, who want to benefit from IoT insights obtained with their own organization-wide IoT analytics tool, we offer full-cycle IoT analytics solution development, starting from needs analysis up to the solution’s launch, after-launch support and evolution.

Service details

IoT analytics as a service

For businesses who want to bypass implementing and maintaining an in-house IoT analytics solution but still want to enjoy IoT insights, we offer IoT analytics as a service. You get access to a web interface with regular and ad-hoc reports, while we handle the IoT analytics solution’s technical realization.

Service details

The Financial Times Includes ScienceSoft USA Corporation in the List of the Americas’ Fastest-Growing Companies 2023

For the second year in a row, ScienceSoft USA Corporation ranks among 500 American companies with the highest revenue growth. This achievement is the result of our unfailing commitment to provide high-quality IT services and create best-value solutions that meet and even exceed our clients’ expectations.

IoT Analytics Solution Implementation

We provide full-cycle implementation services, which comprise:


Business analysis


Dashboard design


Architecture design and development


Quality assurance




After-launch support


User training


IoT analytics solution evolution

IoT Analytics as a Service

To let your business benefit from IoT insights without having to deal with the hurdles of IoT analytics solution implementation, we are ready to take over your analytics-bound tasks on a subscription basis. Here are the stages according to which we prove IoT analytics as a service.

Assessment of an enterprise’s analytics needs and SLA preparation

Assessment of an enterprise’s analytics needs and SLA preparation

We will work collaboratively with your IT and business departments to understand your business goals and a current level of analytics maturity. Based on the obtained information, we will choose relevant analytics methods (e.g., basic reporting, online analytical processing, machine learning-driven analytics) with regard to feasibility and the potential to improve strategic decision-making.

We will reflect the detailed description of the service, state the agreed level of service quality, determine appropriate KPIs and monitoring procedures, as well as document service timing and charges in an SLA.

Data quality assessment and data preparation

Data quality assessment and data preparation

We will analyze available IoT data and metadata from the perspectives of structure and quality to state if it is consistent, accurate, complete, and auditable enough to fulfill your analytics requirements. Our big data professionals will put effort into cleansing and reorganizing available data if it is incomplete or contains duplicate and erroneous records to assure highly accurate analytics results.

Service execution

Service execution

We leverage descriptive, diagnostic, predictive, and prescriptive analytics to carry out a range of tasks including uncovering the root causes of past events, detecting hidden dependencies and trends in both historical and streaming data, and making predictions based on them.

We present the insights gained with the analysis in the form of:

  • Standard reports providing insights on a predefined range of parameters at particular intervals.
  • Ad hoc reports allowing to drill down any parameter and build custom reports on the fly.
  • Alerts generated automatically based on predefined rules.

Reporting on service provided

Reporting on service provided

We present monthly reports on provided services containing a detailed performance evaluation against the targets specified in a service level agreement.

Benefits of IoT Analytics

  • Fact-based decision-making based on the collected data about the organization’s operations.
  • Identification and elimination of ineffective business flows to improve operations’ productivity.
  • Reduced operational costs due to smart resource allocation.
  • Customer insights allowing to create tailored customer experience.

Technologies We Use

Big data

Apache Hadoop

By request of a leading market research company, we have built a Hadoop-based big data solution for monitoring and analyzing advertising channels in 10+ countries.

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Apache Spark

A large US-based jewelry manufacturer and retailer relies on ETL pipelines built by ScienceSoft’s Spark developers.

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Apache Cassandra

Our Apache Cassandra consultants helped a leading Internet of Vehicles company enhance their big data solution that analyzes IoT data from 600,000 vehicles.

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Apache Kafka

We use Kafka for handling big data streams. In our IoT pet tracking solution, Kafka processes 30,000+ events per second from 1 million devices.

Apache Hive

ScienceSoft has helped one of the top market research companies migrate its big data solution for advertising channel analysis to Apache Hive. Together with other improvements, this led tо 100x faster data processing.

Apache ZooKeeper

We leverage Apache ZooKeeper to coordinate services in large-scale distributed systems and avoid server crashes, performance and partitioning issues.

Apache HBase

We use HBase if your database should scale to billions of rows and millions of columns while maintaining constant write and read performance.

Azure Cosmos DB

We leverage Azure Cosmos DB to implement a multi-model, globally distributed, elastic NoSQL database on the cloud. Our team used Cosmos DB in a connected car solution for one of the world’s technology leaders.

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Amazon Redshift

We use Amazon Redshift to build cost-effective data warehouses that easily handle complex queries and large amounts of data.

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Amazon DynamoDB

We use Amazon DynamoDB as a NoSQL database service for solutions that require low latency, high scalability and always available data.

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ScienceSoft used MongoDB-based warehouse for an IoT solution that processed 30K+ events/per second from 1M devices. We’ve also delivered MongoDB-based operations management software for a pharma manufacturer.

Google Cloud Datastore

We use Google Cloud Datastore to set up a highly scalable and cost-effective solution for storing and managing NoSQL data structures. This database can be easily integrated with other Google Cloud services (BigQuery, Kubernetes, and many more).


Microsoft SQL Server

Our Microsoft SQL Server-based projects include a BI solution for 200 healthcare centers, the world’s largest PLM software, and an automated underwriting system for the global commercial insurance carrier.


We’ve implemented MySQL for Viber, an instant messenger with 1B+ users, and an award-winning remote patient monitoring software.


ScienceSoft's team has implemented Oracle for software products used by GSK and AstraZeneca. We’ve also delivered Oracle-based SCM platform for Auchan, a retail chain with 1,700 stores.


ScienceSoft has used PostgreSQL in an IoT fleet management solution that supports 2,000+ customers with 26,500+ IoT devices. We’ve also helped a fintech startup promptly launch a top-flight BNPL product based on PostgreSQL.

Data visualization

Power BI


7 years

ScienceSoft sets up Power BI to process data from any source and report on data findings in a user-friendly format.

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Selected IoT Projects

Start Making Data-Driven Decisions

Avoid guesswork and leverage IoT insights for making data-driven decisions and driving your business growth! If you are still in two minds about what type of analytics is best for your business, contact our data analytics team for a free consultation.