IoT Analytics Solutions and Services

IoT Analytics Services

With 31 years of experience in data analytics and 9 years in IoT, ScienceSoft helps enterprises and software product companies to draw actionable insights from IoT data by implementing robust IoT analytics solutions and offering IoT analytics on as-a-service basis.

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Why Choose ScienceSoft

  • 31 years in data analytics and data science.
  • 9 years in IoT and comprehensive expertise in delivering IoT solutions.
  • 7 years of big data consulting and implementation practice.
  • 8 Microsoft Gold competencies including Data Analytics, Data Platform, Datacenter, Cloud Platform, Application Development, and Application Integration.
  • 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.​​​​

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

IoT Analytics Solution Implementation

We provide full-cycle implementation services, which comprise:

1

Business analysis

2

Dashboard design

3

Architecture design and development

4

Quality assurance

5

Launch

6

After-launch support

7

User training

8

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.

Technologies We Use

Cloud

Click on the cloud platform to learn about our capabilities in it.

Google Cloud Platform
DigitalOcean
Rackspace

Big Data

Amazon DynamoDB
Amazon Redshift
MongoDB

SQL

Microsoft SQL Server
MySQL
Oracle
PostgreSQL

Machine Learning

Spark’s Machine Learning Library (MLib)
Amazon Machine Learning
Azure Machine Learning Studio
TensorFlow
Theano
Torch

Data visualization

Kyubit Business Intelligence
Microsoft SQL Server Reporting Services
Oracle Business Intelligence
Tableau
MicroStrategy
QlikView
Sisense
Microsoft Excel
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.
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