Take your business to the next level with Data Science solutions
Data is one of the strongest assets your company has, so learning how to make the most of it is crucial. Let us bring your data to life and increase the value of your business
Data Science consulting and development services
Never miss out on new business opportunities. Get actionable, data-driven business insights with our Data Science consulting 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
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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.
Ready to boost your business with Data Science?
Let’s work together
Where does Data Science excel?
development
delivered
conducted remotely
Apps we’ve built with Data Science services
Jazzed
Data analytics solution for music streaming app
Revolt
Analytics tool for better understanding app user behaviour
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.
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.
They’re really smart people. It’s not just work for them; they are connected to the company.
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
Custom Data Science solution 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!
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?
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 healthcareIdentifying 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-commerceWith 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 entertainmentWe 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
Want to talk about your idea?
Hi, I’m Jerzy from Miquido. How can we help you with your project? Fill out the form – we’ll get back to you soon.
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