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SAP and Databricks partner up—What’s in it for You?

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Exploring the Future of Data Engineering with SAP Business Data Cloud

In today’s rapidly evolving digital landscape, businesses are constantly seeking innovative solutions to enhance their data management and analytics capabilities. On February 13, 2025, SAP launched the Business Data Cloud (BDC), a new Software-as-a-Service (SaaS) product designed to provide a unified platform for data and AI. According to SAP BDC is a comprehensive platform revolutionizing the way organizations handle data and artificial intelligence (AI) applications. In this blog post, I will delve into the key highlights of SAP Business Data Cloud and its collaboration with Databricks.

Introduction to SAP Business Data Cloud

SAP BDC combines several powerful components, including Datasphere, SAP Analytics Cloud (SAC), SAP BW, Databricks, and Joule (AI), to offer a comprehensive solution for data and AI needs. This integration offers AI capabilities, data management, and application support, making it ideal for businesses looking to fully utilize their data.

Key Features of SAP Business Data Cloud

The SAP Business Data Cloud is built to address a wide range of data and AI requirements. Some of its key features include:

  1. Comprehensive Data and AI Platform: BDC integrates various SAP and third-party data sources, providing a seamless flow from raw data to insightful analytics and AI applications. 
  1. Insight Apps: These ready-made SaaS products offer out-of-the-box solutions for data and AI needs, enabling businesses to quickly deploy and benefit from advanced analytics. 
  1. Custom Build Scenarios: BDC supports custom solutions, allowing organizations to combine SAP and third-party data to create tailored analytics and AI applications. It is also possible to copy Insight Apps components and to enhance copied functionalities with custom development.

The Role of SAP Databricks

A key feature of BDC is its integration with SAP Databricks. This collaboration brings Databricks’ powerful AI and machine learning (ML) functionalities to the SAP ecosystem, enabling businesses to leverage advanced analytics and AI capabilities within a single platform.

Benefits and Considerations for SAP BDC

The SAP Business Data Cloud offers several advantages that make it a compelling choice for businesses:

  1. Single SaaS Platform for Analytics, AI, and ML: BDC provides a unified platform that integrates various SAP and third-party data sources, enabling seamless data management and advanced analytics. 
  1. SAP Databricks AI/ML Functionalities: The integration with Databricks brings powerful AI and machine learning capabilities to the SAP ecosystem, enhancing the platform’s analytical capabilities. 
  1. Insights Apps: BDC includes ready-made SaaS products that offer out-of-the-box solutions for data and AI use cases, allowing businesses to quickly deploy and benefit from advanced analytics. 
  1. Tight Integration to Business Processes: BDC is designed to integrate seamlessly with existing business processes, ensuring that data analysis and AI applications are closely aligned with SAP business processes. 

While the SAP Business Data Cloud offers numerous benefits, there are a few considerations to keep in mind:

  1. A New Product – What is the maturity?: As a new product, businesses should evaluate the maturity of BDC for their respective use cases and consider any potential challenges during the implementation phase. 
  1. SAP Joule dependency – how to integrate into your overall architecture? Joule is yet another co-pilot AI interface to your stack. You have to make sure that for each use case there is well thought through user experience either through Joule or some other co-pilot integrating with Joule that is in line with your overall architecture e.g. MS co-pilot.  
  1. All in SAP or Use Both SAP BDC and Other Non-SAP Tools?: Organizations should still consider whether it makes sense to fully commit to the SAP ecosystem or to use a combination of SAP BDC and other non-SAP tools to meet their data and AI needs.

What to expect?

The SAP Business Data Cloud represents a significant leap forward in the realm of data engineering and AI. By combining the strengths of SAP’s data management tools with Databricks’ AI/ML capabilities, BDC offers a platform for businesses to enhance their data analytics and AI applications. As organizations continue to navigate the complexities of the digital age, solutions like BDC will play a crucial role in driving innovation and success. 

–Juuso Maijala, CEO & Founder

At Etlia Data Engineering we have a unique combination of expertise in both SAP and Databricks to support your business AI transformation. Want to know more? Book a meeting with us and let’s talk about how we can help your business to leverage SAP Business Data Cloud with Databricks!

Testing MS Fabric  Review on ”Auto-create report” -feature

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One of our experts had previously produced a meaningful report of Finland’s Corona data. Now, after the launch of Microsoft’s new SaaS offering called Fabric, we will test its reporting feature which is supposed to ease the work of Data analysts and BI developers. With the “Auto-create report” -feature embedded to MS Fabric you can create insights from datasets with just one click. In the following text, we are going to compare the reports built by Fabric and our expert, and review if the quality of auto-created report matches the one produced by an expert. 

Fabric’s auto-created report of Finland’s Corona data 

How does it work? 

From Fabric UI you can conveniently access your data. You are able to create datasets from the files and tables you have uploaded to OneLake, which is this new unified data source we discussed in the previous blog concerning MS Fabric. By selecting the dataset you would like to create the report of, you can decide whether you like to build the report from scratch or if you want the Fabric to automatically build the report. 

When you decide to automatically create the report, Fabric picks up the columns from the tables it thinks are the most meaningful and creates the visuals to reflect the insights of that data. It creates a quick summary page to show the most important highlights on its opinion. It also writes a short text to summarize the insights of the visuals. You can then change the data you want to be projected and it automatically builds new visuals of the selected data. 

Comparison 

Using the “Auto-create report” -feature you can easily build a sufficient report which tells effectively the key insights of the data. You probably still need to do some work selecting the right data to be projected, because it doesn’t necessarily pick up the right columns right away. The report it creates, may be good enough, if you just need to quickly check what is happening. However, the report it creates, isn’t visually as exquisite or informative as one created by an expert. Also, it only offers a quick summary of the data, whereas a human can create multi page report offering deep understanding of the matter. You can also change the type of the visualizations in the automatically created report, but it is as simple to build the report from scratch. If you want to build a presentable report with the help of “auto-create report” -feature, you have to put as much thought and effort on it as if you were to build the whole thing from scratch. 

In conclusion, we think that this feature is nice add to Power BI, because anyone can easily check the insights that the data has to offer and make decisions based on that information. Anyway, if you want to create a report that offers powerful support for your presentation, you still need to use some time on building the report and empathizing the major data points. 

Future of AI Analytics 

Even though the quality of the automatically created report isn’t yet quite as insightful as the report created by human expert, it still is impressive, how well it can connect different types of data and produce meaningful visuals all by itself. AI and machine learning technologies have been rapidly evolving in recent years and Data Analytics offers great usage for those. They are already great at identyfying patterns and analyzing the relationships and dependencies between variables. Therefore, we believe that there is still room for this “auto-create report” -feature to improve. In the future, it might be able to interpret and communicate the information hidden in the data even better than the brightest expert. 

At the moment, the trend seems to be that we are trying to advantage AI by using generative AI language models as a trusted helper that will do the hand-on work for us. Microsoft has informed us about the copilot feature which will be included in the Fabric offering but isn’t available yet in the public preview version. They have showed us how you’ll be able chat and tell what information you want to know from the data. It can create measures and SQL views. Of course, it can create visuals, but it can answer more sophisticated questions too. For example, it can show you with visuals the reasons why something has happened or give suggestions via chat on how you could improve certain values. With the copilot, the only thing left for humans to do, is to know what to ask. Often those questions repeat themselves so maybe we might be able to automate also that task someday. 

Etlia Data Engineering announces completion of personnel share offering

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Etlia Ltd

News release

28 April 2023 – 09:00 EET

Etlia Data Engineering has today closed it’s first personnel share offering. All Etlia’s employees participated in the offering with full subscription rights making all the employees also shareholders of the Company.

“Our personnel offering was 100% success! I am thrilled to see such engagement and interest into our share offering. I am proud that now all our employees are also Etlia’s shareholders. Our intention is to continue personnel offerings also in the coming years alongside our partner program which was launched this year.” says Juuso Maijala, CEO.

“It is fantastic to see the huge enthusiasm of Etlians and their commitment into company’s growth journey. Using ITA66a§ (Finnish: TVL66a§) framework provides an excellent way to engage personnel and I can recommend it to any company seeking to boost it’s growth through a share based incentive program.“ says Mikko Koljonen, Board Member.  

Additional information:

Juuso Maijala, CEO

juuso.maijala@etlia.fi

+358 50 532 0157

Mikko Koljonen, Board Member

mikko.koljonen@etlia.fi

+358 50 36 28 218

Etlia Ltd shortly:

Etlia is a data engineering company.

We help our customers create business value from data by leveraging major business process platforms and external sources. We offer top experts the best platform and community to grow professionally. Our company was founded in 2013. We are based in Espoo, Finland.

Synapse vs Databricks: A Comparison 

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From Databricks to Synapse: A Data Architect’s Journey 

As a Data Platform Architect/ Engineer working with several clients in Finland, I have extensive experience using Azure Databricks and Azure Data Factory (for notebook orchestration). Recently, however, one of my clients made the decision to switch to Azure Synapse Analytics. In this post, I will share my journey of transitioning from Databricks to Synapse and provide insights that may help you make a more informed decision if you are considering either of these platforms. 

When it comes to choosing between Synapse and Databricks for your data processing needs, there are several factors to consider. Firstly, we will take a closer look at some of the key features of each platform and then finally my opinion on the matter.

Data Storage, Resource Access, and DevOps Integration 

When comparing Databricks and Synapse, it is important to consider the availability of certain features. For example, Databricks allows you to use multiple notebooks within the same session – a feature that is not currently available in Synapse. Another key difference between the two platforms is the way they handle data storage. Databricks provides a static mount path for your storage accounts, making it easy to navigate through your data like a traditional filesystem. In contrast, Synapse requires you to provide a ‘job id’ when reading data from a mount – an id that changes every time a new job is run. 

When it comes to accessing resources, Synapse offers linked service access management – a feature that allows for cleaner and more manageable connections between different services via Azure. In contrast, Databricks relies on tokens generated by service principals for resource access. However, Databricks does have an advantage when it comes to bootup time – boasting faster speeds than Synapse. On the other hand, Synapse has better DevOps integration compared to Databricks. 

Features, Performance and Use Cases 

There are several other key differences between Databricks and Synapse that are worth considering. For example, Databricks currently offers more features and better performance optimizations than Synapse. However, for data platforms that primarily use SQL and have few Spark use cases, Synapse Analytics may be the better choice. Synapse has an open-source version of Spark with built-in support for .NET applications, while Databricks has an optimized version of Spark that offers increased performance. Additionally, Databricks allows users to select GPU-enabled clusters for faster data processing and higher concurrency. 

User Experience 

In terms of user experience, Synapse has a traditional SQL engine that may feel more familiar to BI developers. It also has a Spark engine for use by data scientists and analysts. In contrast, Databricks is a Spark-based notebook tool with a focus on Spark functionality. Synapse currently only offers hive metadata GUI but with Unity Catalog, Databricks takes it to another level of creating the metadata hierarchy. 

Managing Workflows with External Orchestration Tools 

One important aspect to understand when using notebooks in Databricks is the lack of an in-built orchestration tool or service. While it is possible to schedule jobs in Databricks, the functionality is quite basic. For this reason, in many projects we used Azure Data Factory to orchestrate Databricks notebooks. In a recent Databricks meetup, one participant mentioned using Apache Airflow for orchestration on AWS – though I am not sure about GCP. This is a crucial point to consider because Synapse bundles everything under one umbrella for seamless integration. Until Databricks produces an alternative solution, you will need to use it alongside ADF (Azure Data Factory) or Synapse for orchestration.  

Feature Databricks Azure Synapse Analytics 
Multiple notebooks within same session Yes No 
Data storage handling Static mount path for storage accounts Requires ‘job id’ when reading data from a mount 
Resource access management Tokens generated by service principals Linked Service access management 
Bootup time Faster speeds than Synapse Slower speeds than Databricks 
DevOps integration Less integration compared to Synapse Better integration compared to Databricks 
Features and performance optimizations More features and better performance optimizations than Synapse Fewer features and less performance optimizations than Databricks 
SQL support Less support for SQL use cases Better support for SQL use cases 
Spark engine Optimized version of Spark that offers increased performance Open-source version of Spark with built-in support for .NET applications 
GPU-enabled clusters Allows users to select GPU-enabled clusters for faster data processing and higher concurrency Not available in Synapse now. 
User experience Spark-based notebook tool with a focus on Spark functionality Traditional SQL engine that may feel more familiar to BI developers. Also has a Spark engine for use by data scientists and analysts.  
Real-time Co-Authoring Databricks Notebooks has as real-time co-authoring (both authors see the changes in real-time) Synapse Notebooks has co-authoring of Notebooks, but one person needs to save the Notebook before another person sees the change 
Orchestration tool or service Lacks an in-built orchestration tool or service. Needs to be used alongside ADF or Synapse for orchestration. Bundles everything under one umbrella for seamless integration. 
Synapse vs Databricks feature comparison summary table. 

Choosing Between Databricks and Synapse: Which One Is Right for You? 

Ultimately, the choice between these two platforms will depend on your specific needs and priorities. Nah! I will not leave you with a diplomatic answer. In my opinion (could be controversial based on your cloud bias and when are you reading this) if your infra is on AWS/GCP, your priority is data processing efficiency and access to latest spark and delta features go for Databricks. 

On the other hand, if your infrastructure is primarily based on Azure and your use case involves data preparation for a data platform with data modeling on a Datalake (reach out if you are interested to know how), then Azure Synapse may be the better choice. Synapse has more features in development for future releases – something that has not been announced by Databricks yet. Good luck! And stay tuned for upcoming series focusing on ML, streaming, delta and partitioning. 

The Career Radar coaching program helps to clarify career goals

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In autumn 2022, Etlia started the Career Radar coaching program, which aims to provide all Etlia’s employees the opportunity to reflect on their current situation, strengths, and areas of development. It also enables discussing career ambitions with an external coach. In Career Radar the goals can be related to all kinds of things and do not have to match the company’s objectives. The employees also get to share their thoughts in a confidential environment. Based on the goals, they set up concrete steps for the future. Among Etlia’s personnel, the program has so far gained positive feedback.

The coaching helps to structure thinking

Etlia’s Senior Data Architect & Engineer Asko Ovaska participated in the Career Radar program and has been satisfied with the insights he has gained. Ovaska says the coaching was a great way to structure his thoughts and get a better idea of what he wants to do in the future. Sparring with an external coach also felt meaningful.

“I have had certain thoughts about what I would like to do in the future and what kind of career goals I have. For the first time, I could gather these issues in one place. The coach also gave some good insights and counter-questions. When going through them, I better recognized what is essential,” says Ovaska.

After the coaching session, Ovaska discussed the insights he had gained with his supervisor. He sees that going into the conversation was easier after having the chance to structure and write down thoughts and questions about his career. The next step of the program will take place in half a year, and the career objectives will be reviewed again with the external coach. Overall, Ovaska sees Career Radar as a positive experience and views it as more versatile and comprehensive compared to a traditional HR discussion.

From Career Radar towards the partner program

Etlia’s Senior Cloud Consultant & Data Engineer Raaju Srinivasa Raghavan also participated in the Career Radar coaching. Raaju sees that the coaching helped clarify what his future career path could look like. Although Career Radar gives free hands to realize all kinds of career dreams, Raaju’s objectives are closely related to Etlia, and with the coaching, the idea of applying to the company’s partner program became clearer.

”I had the session with the Career Radar coach and it was quite an eye-opening experience. I have been working on the technical side, but during the program, I was able to understand that the next steps would be more toward the partner track. It was helpful personally and from the company’s point of view.”

Raaju is happy that he can now carry forward the goals set in the training, and they have not remained mere words.

”Recently, we have kickstarted the partner track, so it is really nice to see that you don’t just speak about these things, but they are actually put into action.” 

Raaju sees that the Career Radar concept is very much in line with Etlia’s values, one of which is empowering people. In his opinion, Career Radar is suitable for an organization where the atmosphere is open and caring, and people are also ready to receive feedback.

” It is not just about you and the company but more about what the company can do for you. Career Radar is a very nice initiative and possible to execute only in a company like Etlia where we are a close group of consultants, and we care about each other.”

CEO’s review of Etlia’s year 2023

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The year 2023 has already moved towards February, and we thought that now is a great moment to take a look at Etlia’s upcoming year with our CEO Juuso Maijala.

In 2022, Etlia’s financial goals were achieved and operations were based on our values

Before we turn to the future, let’s take a quick look at Etlia’s highlights from last year.

In 2022, Etlia reached many significant milestones, and the year contained many memorable events. Etlia exceeded one million euros in turnover for the first time, surpassing the goal of 1.1 million euros set at the beginning of the year.

We have acted based on our values. Above all, let’s mention our “we appreciate people” value, which is the basis of all our activities. Concrete actions in which our values were visible last year were especially the launch of the new employee-oriented career coaching program Career Radar, and the personnel offer we prepared, which will take place this spring.

In 2022, we made profitable growth, improved internal processes, and made new successful recruitments. We also managed to increase our recognition, which can be seen in the considerable growth of our Linkedin follower base.

The Year 2023 started with new goals

Let’s move on to this year. The first month started in a hurry but in a good mood. The goals for 2023 are high, and a lot has already been done in January to achieve them.

The goal, like last year, is to continue developing our work community and workplace culture. Etlia is and wants to continue being a people-oriented company in the future, which will guide what we do and is reflected in all our activities.

“We want to build a very open culture, where all the issues and the basis of decision-making are known to all etlians”, Juuso Maijala sums up.

The number of Etlia’s personnel is also intended to increase, which of course is also reflected in our business goals. We will also brighten up our brand, which can already be seen in the form of changes in the graphic look on our website. There are also new things to come in Etlia’s offering, and we will release a new service this year. However, we will tell you more about this a little later, so stay tuned!

In the big picture, Etlia’s strategic goals are unchanged, only minor changes were made to them in the strategy update at the end of the year. We want to find skilled data and analytics experts to join us to grow profitably and build Etlia’s recognition.

Unfortunately, the business of many sectors has suffered due to the crises of recent years, and they are also factors for us that should not be ignored. However, the demand for data and data expertise continues and increases every year, so Maijala believes that the growth of the industry will also continue in 2023. He sees the development of our industry in a very positive light, which is why Etlia dares to set high goals.

2023: Etlia’s 10th anniversary

Our company turns 10 years old this year, which will be reflected in many events and perhaps also surprises during the coming year. In honor of the anniversary, we will organize events for both staff and customers. Accordingly, we will celebrate our birthday with a proper birthday party.

Fast access to SAP ERP demo data sources 

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After being sidelined on sick leave for the first half of the year it is time to dig deep into some neat tech stuff once again.

SAP ERPs being so prevalent in the large enterprise sector in Finland I thought we could investigate how to deploy, provision and kick up an SAP ERP system with ready demo data. We will use this demo data as a data source in the following parts of this series of blog posts.

And why would we want to do that, you may ask? 🤔

Well, once we have our ERP set up in the cloud of our choice, we can use it as a data source to for example test the AecorSoft Turbo loading speeds or proof the SAP CDC (Change Data Capture) capabilities for Azure Data Factory and Azure Synapse which just made it into General Availability.

High level steps:

  1. Cloud Appliance selection
  2. Provision to chosen Azure Region

Do check the full set of news from Microsoft Ignite 2022 by the way: https://news.microsoft.com/ignite-2022-book-of-news/

1. Cloud Appliance selection

Let us introduce you to the SAP Cloud Appliance Library in case it is new to you.

You can access it at cal.sap.com and the intro text there says it all:

“SAP Cloud Appliance Library offers a quick and effortless way to create SAP workloads in your cloud infrastructure. With a few clicks, you can set up a fully configured demo environment or deploy a standardized system layout for an SAP product based on default or custom SAP software installation stacks.”

Create your account, log in and dive into the Appliance Templates available. You can get going on a trial basis to test various systems.

Systems range from state-of-the-art S/4HANA ERPs to BW/HANA and older incarnations of these.

We will not be kicking up an S/4 with its memory-intensive requirements since that will be outside the budgetary range of this blog series 😊

Instead, we will filter the list with IDES to find SAP IDES (Internet Demonstration and Evaluation System) versions with ready data in them to use in our next steps down the line.

When you choose your appliance and hit Create Appliance you can choose your cloud provider from Azure, AWS, or GCP. In this case, we will use our Azure partner subscription and authorize SAP CAL against that for it to be able to provide? the resources there.

2. Provision to chosen Azure Region

When using the trial, we are unfortunately limited to only using Azure West Europe region.

It would have been nice to use the announced Azure Kirkkonummi Data Center in my backyard, but that will still take some digging and building. https://news.microsoft.com/fi-fi/2022/03/17/microsoft-rakentaa-suomeen-datakeskusalueen/ I cannot wait to get my own data center and sustainable heating as well! 😊

The next best option would have been Azure Sweden Central with its lower latency:

https://www.azurespeed.com/Azure/Latency

https://azure.microsoft.com/en-us/explore/global-infrastructure/products-by-region/?products=data-factory,synapse-analytics,databricks

Unfortunately, some of the other services we would like to utilize in our future scenarios are not yet available in that region, so we are not heading there yet.

In any case, once you go through the straightforward wizard-like process in SAP CAL, you will end up with your SAP demo system alive and kicking.

Depending on your setup, you might have to request a vCPU quota increase like I had to.

The post is getting long already, so let us dig into accessing and prepping our SAP ERP for further use in the next part of the series…

Janne Dalin

Take control of your career with Etlia Career Radar

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At Etlia, we decided to throw development discussions into the trash can and that’s how Career Radar was developed – an employee-oriented concept supported by an external coach. We already covered the topic in our previous blog posts, so if you haven’t read them yet, you can find them here.

But does our external coach Lassi Albin Viljakainen have to say about our concept? 

Lassi Albin is an entrepreneur and ICF-PCC certified management and career coach, who has also been involved in developing the Etlia Career Radar program. Lassi has impressive 3000 working hours in coaching. He has done coaching and sparring in organizations of different sizes around the world. His strength as a coach is his excellent knowledge of people, which is also one of the biggest reasons he has ended up in career coaching. 

The most important thing for Lassi as a coach is that the person being coached feels liberated, empowered, and good after the coaching session. Lassi Albin hopes that the coachee will think that they have been able to talk openly and confidentially and that they have been able to reflect on themselves and possibly make new insights. Several trainees have said that the sessions open up several interesting perspectives and ideas, which are nice to think about afterward. 

According to Lassi Albin, the Career Radar coachees have come to sessions with very open minds. He never once felt that someone didn’t want to talk or had deliberately left something unsaid. 

According to Lassi Albin, freedom and straightforwardness are definitely what makes Etlia Career Radar so special as a career coaching program. Since the program is completely new and developed exclusively for Etlia, it cannot be directly compared to the training methods used in other companies. However, in his other coachings, Lassi Albin has seen excellent results, especially in companies that are both transparent and close to the employee, so that the employee feels safe and valued. Another difference compared to other methods that Lassi Albini encountered is that Etlia Career Radar is intended for everyone, and not just for, for example, the management ladder. The fact that everyone is offered an equal opportunity increases the spirit of togetherness and the feeling of belonging in the company. 

The result of Etlia Career Radar is that everyone will get a personal career development plan, which is regularly calibrated and implemented together with colleagues and the company. With Etlia Career Radar, we aim for an increasingly open and transparent work culture where everyone is allowed to pursue what they want and aim for their development results. We want to offer our employees all the necessary tools to support professional growth, as well as a safe and open work environment. We think that every person from Etlia deserves to have the freedom to develop their career individually and freely in the direction they want, receiving the support of both the company and the community for their desired career path. 

Interested in Career Radar? We will be happy to tell you more! Feel free to contact juuso.maijala@etlia.fi 

What is Etlia Career Radar?

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At Etlia, we decided to throw development discussions into the trash can and that’s how Career Radar was developed – an employee-oriented concept supported by an external coach. We already covered the topic in our previous blog post, so if you haven’t read it yet, you can read it here.

Now we would like to tell you how our process works: 

1. Step: Let’s take a look at your situation.

In order to pursue your dreams, they must first exist. In the first step, the coachee will do some self-reflection by using a questionnaire from the coach. It is used to find out one’s strengths and areas for development. In addition, we map out what kind of career plans and goals the coachee may have.

2. Step: Meeting with an external career coach.

In the second stage, the coachee’s personality and career plans will be explored with an external career coach in a confidential environment. In this step, we also start building a plan to achieve the goals. The plan will include a bridge between the present and the goal and a schedule drawn up by the coachee and actual actions to reach the goal.

3. Step: We recommend sharing your plan with colleagues.

This is based entirely on voluntariness and the coachee has the freedom to keep their plans to themselves as well. We recommend sharing and joint tracking because by sharing their plan, the coachee gets the support of both the work community and the company. In this way, we also strive to build an open, transparent, and empowering work culture where it’s safe to talk openly about your plans.

4. Step: Regular calibration sessions.

The purpose of the calibration sessions is to take a look at the coachee’s plan together with the team leader. In this session, we discuss how the process is going at that moment, and make sure that the coachee has received all the support they need.

5. Step: Annual discussion with an external coach.

We recommend updating your plan regularly with your coach as well. Normally, this is done once a year, but if necessary, for example in situations of life change, we recommend a more intensive coaching period to keep your plan up to date.

More about Career Radar coaching in our next blog, stay tuned! 

Interested in Career Radar? We will be happy to tell you more! Feel free to contact juuso.maijala@etlia.fi 

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