Data and Analytics Company

DataInside provides a wide range of consulting services, including the necessary tools and expertise to help you analyze your data. We work with customers from start to finish, focusing on theirneeds, while proposing new ideas, formulating effective strategies, and designing high-quality and scalable solutions locally and on the cloud. We understand and analyze data so that customers can focus on their business.

Our Expertise

Data Migration

Data migration is the process of moving data from one location to another, moving a format to another location, or moving an application to another location. Usually, this is the result of introducing a new system or data location. Business drivers are usually application migration or consolidation, where old systems are replaced or expanded by new applications that share the same data set. Nowadays, data migration usually begins with the company's migration from local infrastructure and applications to cloud-based storage and applications to optimize or transform the company.

Data Lakes

The data lake is a centralized repository that allows you to store all structured and unstructured data at any scale. You can store the data as it is without having to first build the data structure and run different types of analysis-from dashboards and visualizations to big data processing, real-time analysis and machine learning to guide better decisions

Internet of Things

The term Internet of Things covers everything connected to the Internet, but is increasingly used to define who "talks" to each other. "In short, the Internet of Things consists of connected devices (from simple sensors to smartphones and wearables)

Big Data Analytics

Big data analysis is the usually complex process of examining big data to discover information, such as hidden patterns, relevance, market trends, and customer preferences. This information can help organizations make smart business decisions.

Machine Learning

Machine learning is an application of artificial intelligence (AI) that enables the system to automatically learn and improve from experience without the need for explicit programming. Machine learning focuses on the development of computer programs that can access data and use it to learn on its own

Stream Analytics

Stream analysis is the ability to continuously calculate statistical analysis while moving in a data stream. Streaming Analytics allows management, monitoring and real-time analysis of real-time streaming data

FAQ

You’ve got questions, we’ve got answers. Learn more about how DataInside solutions can bring value to your data & analytics strategy in our FAQ section or ask us something new.

What is data analytics in simple terms?
Data analytics enables making conclusions while analyzing data from informational resources. Data analytics uses strategies via technological processes and algorithms that manipulate data for human utilization and understanding. Data analytics helps businesses optimize their capacities.
What is the role of data analytics?
Data analysts manipulate data to help their organizations make decisions. Using strategies from a range of content areas, mathematics, and statistics, data analysts make predictions followed by conclusions which sheds light on future outcomes for business optimization.
What's the difference between data analytics and data analysis?
The difference between analytics and analysis is scalability. Data analytics is a generalized term and is the umbrella over data analysis. Data analysis is the examination of data. Data analysis includes data collection, organization, storage, and strategies and tools used for analysis.
What is platform modernization?
Legacy modernization refers to leveraging and increasing flexibility by maintaining consistency across platforms and addressing IT challenges. Rewriting of a legacy system for software programming is part of legacy modernization as well.
What are some data management techniques?
Simplify access to data that is evolving. When more data is available there is better predictability. Therefore, business analysts and data scientists are able to access more data. If data is easily accessible, predictability increases which supports better outcomes. SAS helps by supporting native data access capabilities, which enables the manipulation of various types of data from differentiated structures and architectures.

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Contact Us

Email

info@datainside.co.uk

Phone Number

+44 7818 416027

Location

United Kingdom