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Data Collection, Storage, and Visualization

Data and analytics

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Data Strategies

A data strategy is an organization’s plan for collecting, processing, managing, and utilizing data. It helps the organization make better decisions, develop its business, and enhance the customer experience through effective data utilization.

Data Collection and Collection Models

Data is often collected from variety of systems. The collected data can include user activities, events, performance, or log data, for example. It is important to clearly define what information is collected and how it is stored.

Data Retention and Processing

The collected data should be stored appropriately to ensure its preservation even in exceptional situations such as system outages or damaged systems. In addition, data processing should adhere to data security practices and data protection regulations.

Reporting and Analysis

Raw data itself is not very valuable. However, it can serve as the basis for generating high-quality reports and conducting in-depth analysis. Analytics and reporting tools can help transform raw data into useful information that can reveal business trends, user behavior, or other valuable insights.

Visualization

Data visualization allows information to be presented in an easily understandable format. Well-designed visualizations can help illustrate complex data and highlight useful information. Graphs, charts, and interactive maps are examples of tools used to visualize software data.

Data Quality

Large amounts of data can be collected, but its quality is crucial. Inaccurate or erroneous data can distort analyses and lead to incorrect decisions. Therefore, it is important to ensure data quality, verify its accuracy, and make necessary corrections before using it.

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Data and analytics

Data Collection, Storage, and Visualization

Data is a tremendous opportunity. Through collecting and analyzing data, we can learn about our customers and develop our business in unprecedented ways. We have never had access to such a vast amount of information before, which, when combined, can lead us to discover something entirely new. Artificial intelligence also enables new methods of collecting, processing, and analyzing data more efficiently than ever before.

We focus on utilizing data in all its stages, from collection to storage and from processing to analysis. We work with you to build processes and data collection models, alongside which we can develop customized data analytics software to meet your needs.

Although all kinds of reporting are often loosely referred to as analytics nowadays, true data-driven and comparative analytics require a substantial amount of data. Its secure and cost-effective handling is best achieved in the cloud.

In data solutions, a long lifecycle is emphasized. The lifecycle of system data can be much longer than that of the system that produced it. Therefore, ensuring data quality is particularly valuable.

A long lifecycle necessitates sustainable design of data schemas and evaluation of storage solutions for their sustainability. Sustainable utilization of data also places demands on its discoverability, requiring comprehensive documentation of data and its associated metadata in a data catalog.

Kuvituskuva: mies tutkii analytiikkaa
Kuvituskuva. Henkilö tietokoneella.

SUSTAINABLE SOFTWARE DEVELOPMENT

Solutions for Long Lifecycles

Do you have an idea that you would like to transform into a digital format? Or perhaps you have software that is in need of renovation. The cornerstone of our expertise is to deliver sustainably developed services and help our clients harness the possibilities of digitalization for their future goals. We build quality code and implement software solutions sustainably. This means that we invest in designing for the long lifecycle, ensuring that the services we build withstand the test of time and can adapt to changing needs in the future.

At Monad, software development is carried out as complete projects or individual components. We have experience in both large and small implementations. We can take the lead in developing the entire software or complement an existing team. With us, you always get up-to-date expertise and modern technology to bring your visions to life.

We have successfully created a user-centered solution with Monad, which users happily return to time and time again.”

Tapio Haantie

Product Business Line Director, Mobile and Desktop, Qt Company

Next Steps

Should we get started?

Let’s talk

Together, we can go through your situation and needs so that we can make a proposal on how to continue.

Antti Riikonen, CEO
+358 50 480 2426
[email protected]