There are some of them at big companies like SoftServe, Core Value, [bvblogic], COAX.

Some of them are working as freelancers at Upwork. Some of them are working for US or UK companies.

Some of them are still university students, who just making first steps in Ruby development.

I’m interested to talk with all of them. To share my vision and opportunities for them. Share our current and future projects.

Right now I’m looking for 2–3 Ruby developers of different experience levels. Looking to go with them in a long and interesting journey of esports software development. Build together with them great services, products, applications, plugins and extensions. For companies across the globe. There is no limits for esports and software development.

Please contact me at LinkedIn https://www.linkedin.com/in/yevgenvershynin/

Please see our company story here https://www.linkedin.com/company/27-nerds/about/ https://www.facebook.com/27nerds/

Share with me your story, CV or just drop several words and I will share with you more details and our vision of the world.

Number of activities you can automate depends on how many data you collect about your organization processes. How accurate this data and how long you are collecting it. How many processes are monitored and level of detalization of them.

With most obstacles of process monitoring can help IoT technologies. Which are petty affordable and can bring interesting insights and valuable data for next analysis.

First step is to collect as much data as possible using software tools. We are using CRM, HRM, manufacturing process monitoring, ERP systems. Implementing all these systems and optimize process to do it efficient you already have pretty much insightful data which can be used for machine learning algorithms.

Second step is hardware process monitoring using different sensors, checks, cameras and IoT devices. To implement it you need to make several wise decisions and commit yourself to your goal, there could be different complicated obstacles, but always you will be able to find a solution.

Once you implement processes monitoring with hardware tools, you need to go further with your software to collect all the data, categorize it and store it properly. This step called data engineering or data structuring.

Once data is structured and you have robust data lake, you can move forward to machine and deep learning algorithms and models which can make decisions base on area you have in the organization.

Automatic decision making is accurate and very fast. It can streamline your decision making process and give you much mo space for creative ideas and strategic planning.

Next source of data is our stock data. How many materials or products we have right now and how many of them are ordered but not delivered and at which stage each of them. This data is required to plan manufacturing or sales processes. This data can be at the same system as a sales data or it can be in different system.

Another source is manufacturing data. What stages and how many time it takes to pass each stage and make different process. This is one of the most complicated type of data. It do not have typical standard structure and each organization may have very complex data structure for that kind of operations. There is pretty big amount of this data generated every day, hour and week. So we need to be able store it properly and make analysis on it on continuous basis. Make predictions and react on real-time data changes and make alerts to corresponding managers.

HR data may be one of the most important data for your organization. It can consist of detailed information about employees, their promotions, trainings, knowledge and areas of responsibility. This data require historical retrospective to make analysis and prediction.

Each department and subdivision of your company will be a data source which may influence different decisions across the organization. You need to understand that as easy I can get this information as fast I can make a decision.

Each organization has almost the same set of departments, they are covered in Scaling Up book by Verne Harnish. Each department should have their own set of objects and actions they can perform on them. Each department management should have access to other departments data to make decisions fast and effective. Cross department collaboration also should be tracked in the system as projects or initiatives.

Structured data is everything structured by category and by type of data like name, category, position, group, price, currency etc.

Usually structured data is stored in DB and represented in rows, tables. You need to write a queries to get the data. In the same time create and generate reports.

Once you have structured data you start collect all connected data and store historical data.

Once you have several sources or data in the organization you start integrate them to get more value out of data and organization’s processes.

Real time data is used to make decisions across the organization faster with the same quality.

Historical data helps make policies and predict future events. Analyzing this data and making predictions for close future periods you can take better actions today.

Combining real time data with historical analysis will give great results and will help to gain competitive advantage at the market.

This approach will help to reduce human factor risks in day to day processes and reserve human energy for strategic decisions and invest more efforts into interpersonal communication.

More we will collaborate and share ideas in person more creative solutions we create and implement.

Please keep in mind, we are creating same structured solutions as we are in organization. In other words — our solutions or products have same structure as our organization is.

Find a balance is not an easy thing. You need to have knowledge and experience with several tools on the market and understand your needs and flow in all details.

In most cases businesses owners do not have time to do that. And do not know who can help them wit this question.

Engineers would like to do everything from scratch, which is very expensive. Sales guys try to sell what they have and not always right thing for your needs.

There are some companies in the middle who provide training and consulting, but nobody knows what they do and how to work with them.

Sure it’s good to have some kind of CTO or CIO in the company, but when you are not a big company it’s very complicated.

In this situation you need external consultant who will work close with you and help you navigate through all steps of company digital transformation.

We need to understand that implementing new tools requires new types of interaction, processes and sometimes employees. Some existing employees may prefer to leave the company due to new changes and new level of responsibility and interaction.

In the same way digital transformation opens new ways of growth for the company. Owners and senior leadership need to understand the goal and opportunities which they have and need to use after transformation.

In this area I would like to help companies to find the best solution for their goals and challenges.

Please share with me your thought and ideas about company consulting through digital transformation.