Data science solutions

Bring your data to life and increase the value of your business with Miquido’s data science solutions

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Data Science consulting and development services

Never miss out on new business opportunities. Get actionable, data-driven business insights with our Data Science services. We put our heads together to analyse and find patterns in your data, so we can advise you on your business strategy and answer your needs with a tailored solution that leaves competitors far behind.

Our Data Science services

Business Intelligence (BI)

BI is beneficial to business process management and validation. Your custom Business Intelligence dashboard can help you to understand your data better by showing only what is relevant to your set objective, and thus eliminating the “too much information” issue. That way, you’re able to stay focused, with a clear goal ahead, and save valuable time as a result.

Big Data

Making sense of complex data can prove to be a challenge, and that’s when Big Data comes to the rescue. It encompasses large datasets that cannot be handled by traditional computing techniques and processing software. Using Big Data solutions allows you to analyse information faster, reduce costs and introduce innovations. This way, you can make sure that your customers are delivered a polished product.

Extract, Transform, Load (ETL)

ETL is a process of extracting data from different sources, transforming it into a desirable format and loading into a destination location suitable for further business analysis (that can be Data Science, Business Intelligence or Machine Learning). Applying a customised ETL pipeline for complex data management and standardisation automates and simplifies the process, as well as improves its efficiency.

Data Mining

Data mining is useful when it comes to huge amounts of data that need to be made sense of. It helps you to turn raw data into useful and actionable information. In other words, data mining empowers your business with tools for discovering patterns hidden in large datasets, by involving methods at the intersection of machine learning, statistics and database systems.

Exploratory Data Analysis (EDA)

EDA is a statistical approach to analysing data sets and summarising their main characteristics. We can help to identify outliers and errors, the most common and missing values, visualise multivariable distributions, spot hidden natural or unusual patterns, and investigate relationships between variables and their strength. All these are crucial to discovering data and providing the necessary context to reach your business goals.

Text Mining

Text Mining is the process of deriving quantitative information from unstructured text. We can offer it as a separate solution or as a pre-processing phase of further text analysis using machine learning techniques, including natural language processing (NLP). You’ll be able to get in-depth insights into how customers interact with your brand, and automate manual processes like text document processing.

Tangible results, right on schedule

2 days
for an estimate
2 weeks
for the prototype
3 months
for the MVP

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Why should you use Data Science in your company?

Explore the most important benefits of implementing Data Science solutions to your business

Actionable business insights

When it comes to digital business, staying up to date is the key to success. Identifying business trends and pointing your organisation in the right direction helps to capitalise on new opportunities. See your company in a new light thanks to solid data and ensure its steady growth.

Data-Driven decision-making

Make certain your business goals are achieved while saving valuable time and resources. By measuring and tracking chosen KPIs and metrics, you can successfully reduce your costs and increase revenue at the same time, all thanks to the implementation of Data Science solutions.

Reduced data overload

Collecting data is crucial to ensuring business growth, but sometimes it can result in information overload that is difficult to understand and operationalise. Making data more understandable and useful by providing multiple data visualisation possibilities for users who aren’t skilled analysts is what data science is all about.

Audience-dedicated dashboards

Manage information properly, improve your operations and boost performance with personalised dashboards tailored to the audience using them. Depending on the user, strategic, analytical, operational, and tactical dashboards can be suited and designed for the desired application.

Product improvements

Knowing your user base’s needs is crucial for your product to become a hit on the market. Getting a 360° customer view helps to predict customer behaviour, identify user trends, deliver the right service at the right time, therefore helping to reduce customer churn rates and improving the chances of sales.

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Where does Data Science excel?

The application of Data Science can help you to answer key questions specific to your business and provide you with tailored solutions.

  • Breaking down big data into usable information
  • Making business data more accessible and readable
  • Discovering unseen patterns and trends
  • Handling all types of data, structured and unstructured
10+
years in remote
software development
150+
digital solutions
delivered
90%
of all projects
conducted remotely

Apps we’ve built with Data Science services

View project
Klassik Radio

Data collection solution for streaming service

Jazzed

Data analytics solution for music streaming app

Revolt

Analytics tool for better understanding app user behaviour

View all projects

What our clients say about our Data Science solutions

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Miquido was engaged throughout the project and responded well to the expeditious timeline. They were proactive in project management and understood the requirements and challenges.

Michał Kiender

Product Manager, SBAB

Miquido’s team was well-organized and delivered on all their promises. Thanks to their expertise, the final products offer more features and integrations than originally expected.

Jacqueline Mell

Product Manager, Herbalife

Our tech stack

Data Processing

Python

Apache Spark

AWS Glue

Amazon EMR

Amazon Kinesis

Data storage

BigQuery

Delta Lake

PostgreSQL

Machine Learning

Amazon SageMaker

TensorFlow

Keras

Pandas

Business Intelligence

Google Data Studio

Power BI

Our Data Science development process

  • 1

    Scoping and Estimation

  • 2

    Workshops & Preparation

  • 3

    Design and Development

  • 4

    Product Release

  • 5

    Product growth & maintenance

Understanding the nature of your project

First things first! We identify the scope of your project and take our time to understand your needs, business plans, and expectations. When we’re sure we are on the same page, we start familiarising ourselves with available data. This allows us to tailor the solutions to your idea and estimate the time needed to implement them. At the end of this phase, you get a general quotation and development schedule.

Shaping the vision and discussing the details

We want to make sure your idea turns into a huge success. Our qualified team of Data Scientists and Data Engineers will be happy to discuss relevant statistical techniques, data infrastructure and visualisation during the Data Science Workshops – our kick-off meeting!

Bringing your project idea into reality

The most important element in creating Data Science solutions is your data! It usually takes us a few days to prepare a data collection plan. When it’s done, we start with data exploration to answer your business-specific questions that were formulated during our Workshops. We see you as our development partner and that’s why we encourage you to be fully engaged throughout the project. The length of this phase depends on the project size and complexity.

Introducing your product to the market

Now is time to reveal our findings and present your data in a user-friendly way. As soon as your product is good to go, we take care of the deployment and release. We provide you with customised dashboards, designed for your specific needs by showing the relevant information without data noise. Once your application is live, we also provide ongoing support.

Taking good care of your product

Our work doesn’t have to end once your digital product goes live. If you decide that your solution needs extra features or changes, great! We start working right away, all the while supporting the existing version. However, if you decide you want to transfer the project to your in-house team, we help you plan the process and make sure it goes smoothly. Whatever you need – we’ll be there to support your project’s further growth.

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Custom Data Science solution development

Do you have a large amount of data to work with? Or are you struggling to find a solution to manage it and pull out the information that is hidden? We can help! Let us make your data more understandable and useful. We use data to answer your key business questions and provide you with tailored Data Science solutions.

What is there to gain? Improvement of product relevance, assistance in goal setting and refinement as well as decision making, just to name a few. At-a-glance reporting with adequate visualisation techniques that helps your company to understand business data better, by showing only the relevant information and reducing clutter. Start building your custom solution today!

Learn about custom app development

Want to find out more about Data Science?

Are you interested in Data Science solutions? Browse the most frequently asked questions and see what there is to learn!

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What is Data Science?

Data science (DS) is an interdisciplinary field that works on the cross section of domain knowledge, mathematics, programming, software skills, and effective communication. It offers an end-to-end solution to extract knowledge and insights from structured and unstructured data. DS is closely combined with big data, data and text mining, statistics and machine learning.

What is Data Science used for?

Data Science can help you to solve complex real-life and business-specific problems with the use of data. When the amount of available data is huge and traditional data analytics tools are no longer relevant or when the business problems are complex by their nature, it’s time to turn to data science solutions.

Why do we need Data Science?

Data Science helps businesses to analyse available data to get insights into past scenarios and performance, and use them to make crucial decisions for future challenges. With the support of data-based knowledge, you can enhance productivity and profitability, and stay ahead of competitors, regardless of your business sector and size.

What is a Privacy Policy and why is it important?

A Privacy Policy is a document that discloses how a party collects, handles, shares, and manages customer, client or patient data, especially sensitive data. The collection and usage of customer, user or patient data can bring a lot of benefits to your business as long it is done safely and according to legal regulations.

Protecting data privacy is crucial for us as well for your business. It is a safeguard for personal information, builds trust and good relationships with clients or customers, and mitigates legal risks. We are compliant with GDPR regulations as well as Data Science best practices, only use data that is necessary, and we don’t keep data we don’t need anymore.

What is Big Data?

Big Data describes the large volumes of data generated and gathered by businesses on a day-to-day basis. It’s not just the amount of data that defines Big Data, it’s also described by its variety and velocity – the increasing speed at which new data is processed and stored. Big data encompases different data types that can be brought together from different sources (structured, unstructured, mixed, static, real time, in-house, external).

What is ETL?

ETL (Extract, Transform, Load) is a procedure for copying data from one or more sources into a destination system which represents the data in a different context than the sources.

What is Business Intelligence?

Business Intelligence (BI) is a set of tools and methods used for data analysis and business information discovery. BI functions include business process management and validation, predictive solutions, business knowledge discovery, business reporting and BI Dashboards – a graphical interface which provides visual reporting solutions.

What BI tools do we use for Data visualisation?

There are many BI tools commercially available. The most popular are probably Power BI, Tableau and Data Studio. We have experience with BI dashboards creation using Power BI, Data Studio, AWS QuickSight and Grafana. We also offer custom dashboard implementation using frontend frameworks like Angular or React.

What tools for data collection can be used?

The most popular tools for data collection are Google Analytics for web and Google Firebase for mobile applications. In addition to these, we also offer Revolt, our in-house solution for collecting application data that works for web, mobile and backend applications.

Why do I need a data collection & utilisation plan?

A data collection and utilisation plan is a documentation of all events that need to be sent from the application. Even though tracking everything might get you lots of data, it will most likely be chaotic and turn out to be missing key parameters; that is why it is so important to include data scientists in the process and create a data collection plan to avoid information overload and spot the most important parameters at first glance. This is also an advantage of custom solutions over out-of-the-box analytics.

Which industries can use Data Science?

  • Healthcare
  • E-commerce
  • Entertainment
  • Fintech

Data Science applications in healthcare are well-established and highly impactful. They help in diagnostics, decision making and process automation. Through the consolidation of data from different sources (like medical records, drug intake and wearable data) we can get a big-picture view of patient conditions and identify unseen trends and relations. Faster diagnostics can also be supported by automatic segmentation and analysis of medical images.

See our solutions for healthcare

Identifying customers and understanding their needs is extremely important for e-commerce businesses. Data science solutions have a direct impact on both user experience and revenue. Analysing the path to product purchase and mapping a series of events leading to a defined goal will point out critical and vulnerable phases in the whole process. Furthermore, tracking app user activity and app functionality preferences makes for a continuous functionality improvement.

See our solutions for e-commerce

With our experience in the entertainment sector, we can help you adapt features and content to your target audience. To better understand your end users, we offer custom analytics and dashboards focusing on your KPIs. Additionally, customer sentiment analysis helps to classify posts and messages, and understand emotions hidden behind user opinions.

See our solutions for entertainment

We will help you with data-driven financial planning for better management. Applying client segmentation results in targeted, fit-for-purpose marketing. Customer lifetime value analysis enables prediction of the profit made on each customer in future relationships. For a bigger picture, we may also offer business-specific risk analytics and fraud detection.

See our solutions for fintech

Browse through our tech and business insights

Want to talk about your idea?

Hi, I’m Jerzy, Head of Innovation & Business Development at Miquido. Fill in the form to the right and we’ll get in touch soon!

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