Criteria to Review When Choosing the Best Data Analytics Company for Your Business

Are you looking to advance your business by using data analytics? Companies both large and small rely on specific and accurate data to complete a wide range of functions, from product development to marketing and everything in between.

But data evaluation, web scraping PHP, and business models are not everyone’s strong suit. That’s why data analytics companies exist: to help your business identify and construct best business practices.

So how do you choose the right data analytics company to work with? We’ll give you a few tips.


How To Check Nearshore Python Development Team Is Up To The Challenge

When considering the idea of ​​transferring some of the enterprise’s functions to third-party companies, management often encounters proposals to turn to nearshore IT outsourcing. Nearshore outsourcing involves turning to geographically closer teams of developers, R&D center, or IT specialists when the difference in time zones is more than 1-2 hours. In most cases, European companies prefer to give the right to implement a nearshore software development project to local firms, which determines the popularity of nearshore IT outsourcing in Europe.

For the development of your Python team, the nearshoring services are also justified. But how to predict whether the team is ready for various challenges and will it cope with the assigned task? In the article, we will talk about skills a Python developer should have and how to properly organize a team.

Must-Have Skill-Sets for Growing Python Development Team

The Python language is used in machine learning, data processing, building web applications, and much more. The language is fairly easy to learn, allowing scientists and researchers to automate their work and perform large-scale computations. Python developer should have such skills:

1. Knowledge of Core Python

The developer should have a good knowledge of the concepts of the Python core and its aspects: iterators, generators, principles of working with files, variables.

2. Object-relational converters

An object-oriented programming language is used to transform data between two incompatible systems, and this technique is called the Object Relational Mapper. Python developers must use many custom ORM tools.

It’s worth noting that a Python developer can grow significantly in the field of data science. This option is possible if he understands such aspects of data science: good knowledge of SQL, knowledge of using Python packages such as Scikit learn, NumPy, data analysis, data visualization, knowledge of probability.

3. Analytical skills

In terms of analytical knowledge, it is needed to better create useful websites for web development, better visualize datasets for Data Science, optimize algorithms during coding, and write clean code.

4. Version control

Changes to the source code happen multiple times, and you need to be able to track each change. If the developer is already familiar with words such as “commit, pull, push”, then he will efficiently handle different versions of encodings and track changes in codes.

5. Understanding multiple delivery platforms

There are many platforms for displaying results, such as desktop or mobile, and a Python developer should be well aware of the difference between different platforms.

6. Soft skills are a must

Responsibility, striving for professional growth, the ability to manage working hours, and work in a team are basic soft skills that are needed for almost any position in the IT field. It is worth talking over some rules of communication in teams and outlining the responsibilities of everyone in the team before the development team takes on the project. Thus, you can prevent challenges in personal communication between the team members.

Ask the teams to focus on specific goals at a high level, then have them work with ideas and execution. Developers are likely to work in an environment where they can make a difference and learn new things.

Facts Need to Be Considered When Creating a Nearshore Python Development Team

Python developer is additionally expected to be able to quickly master new material, delve into the essence of tasks, understand requirements, and be ready for routine tasks.

Also, Python developers are needed for machine learning tasks. Therefore, when selecting for positions related to Data Science, they check the knowledge of machine learning algorithms and the ability to apply them, the experience of participating in competitions on Kaggle or in hackathons. Applicants are expected to have knowledge of mathematics: probability theory, linear algebra, and mathematical analysis.

When a client decides to outsource a Python project to software companies, most providers will help select the right talent for a company’s needs. This includes CV review, initial assessment of the candidate’s relevant experience, technical interviews.

The dedicated development team model is best suited for long-term projects with changing requirements. It is also ideal for companies looking to extend their Python development team over an extended period of time to delegate tasks. Compared to other collaboration models a client gets a transparent budget, the ability to manage a Python development team workload, and change requirements as your project evolves.

How to Check Nearshore Python Development Team Is up to the Challenge

Software development is considered a poorly measurable process. The first rule of thumb to follow when designing and building processes is to do them in such a way that they leave artifacts in the data. You need to build not just Agile but make it Measurable Agile.

Sometimes for the sake of measurability, you have to sacrifice some of the Agile principles and, for example, somewhere prefer written communication over oral.

Due date practice has shown itself very well, which improves predictability. Its essence is as follows: when a developer takes a task and drags it into “in progress”, he must set a due date when the task is either released or ready for release. This practice teaches the developer to be a conditional micro project manager of his own tasks, that is, to take into account external dependencies and understand that the task is ready only when the client can use its result.

In measuring processes, start from problems. You need to monitor the violation of processes, and not how some practice is followed. Processes often do not work, not because people violate them on purpose, but because the developer and manager do not have enough control and memory to follow them all. By tracking violations of regulations, you can automatically remind people of what to do and get automatic controls


Certain development approaches can help but are not necessary tools for success. To gain experience, teams need to be given the freedom to experiment and make mistakes. They need to start acting. The only exception is code reviews., thus this is the most effective way to improve the overall level of your team. With rigorous code reviews, fast iterations, and actions, your teams will grow faster.

Use Regular Expressions to gain insight on Content Grouping

Today’s post is a special one and a first-timer here on Digital Owl’s Prose. I am featuring a guest post by Edoardo Frasca.

Let’s meet Edoardo in his own words…

“Hey, I’m Edoardo!
I’m an Italian digital marketing enthusiast living in London.
My professional focus is on marketing, web analytics and data analysis.

After graduating at the School of Management and Economics in Turin (IT), I had to face what a lot of other graduates face: INEXPERIENCE when transitioning from university to work 🙂
That’s why I decided to share a few tips and tricks around highly requested tools like, in this case, Google Analytics.

  • What is working well or not working at all on your website?
  • Which category of products is gaining traction?
  • Are the blog posts just published gaining interest?

I hope you’ll be able to answer some of those questions after reading this blog post, unlock the power of content grouping in Google Analytics!”

Now without any further delay, let’s enjoy Edoardo’s post, Advanced Content Grouping with Regular Expressions .

Thank you, Edoardo for guest-posting on my blog!