Probably the most important asset of an organization nowadays is data. Data allows a company to communicate more effectively with its customers, understand business operations, correctly maintain equipment, figure out costs and revenue, and have a clear understanding of employees' tasks, activities, and effectiveness – for examples Sales and Marketing teams.
Large organizations often struggle with effectively keeping an eye on all the different data sets, and human errors can interfere with the process of making sense of data, encouraging management to find an automated solution to their problems.
Here is where Power BI comes into play, a powerful tool designed and developed by Microsoft that allows all types of organizations to easily access all sorts of parameters and forecasts of their business operations. Creating a visualization dashboard with Power BI can help companies calculate their ESG score, keep track of the maintenance needs of their heavy equipment, simplify their financial operations, calculate waste and reduce it, and even track their supply chain.
When it comes to choosing a business intelligence tool, Power BI stands out for several reasons. Power BI has been seen as a “Super Excel” in which you can do virtually anything that’s BI related. Moreover, it is easy to use, has fully customizable options, and if your organization already uses Microsoft products such as Azure or Microsoft 365 it is a no brainer to choose Power BI over other options because it integrates so well with all the other Microsoft related products.
We already figured out that data and analytics are foundational assets of any business nowadays - using a tool like Power BI to determine KPIs and to visualize different aspects of your business is the way to go if you want to increase your revenue, cut down on costs, improve operational efficiency, have business continuity, visualize your supply chain and reduce the workload of your employees amongst other business benefits.
Let’s go through some of the traits and see what the powers of Power BI are.
Imagine a tool that combines powerful data capabilities with an intuitive interface. That’s Power BI. With its user-friendly design, you can create stunning visualizations and insightful reports without needing extensive technical expertise.
Whether you’re a seasoned data analyst or a business manager looking to make data-driven decisions, Power BI makes it simple. You can drag and drop elements, customize dashboards with a few clicks, and access your reports from anywhere, anytime.
It’s like having a personal assistant that turns complex data into clear, actionable insights and allows you to communicate these insights across your whole organization.
If your company already uses Microsoft products like Excel, SharePoint, or Azure, integrating Power BI is a breeze.
It's designed to work seamlessly with the Microsoft ecosystem alongside the rest of the Power Platform products like Power Automate and Power Apps, making it easy to pull in data from various sources and share insights across your organization.
For example, you can take an Excel spreadsheet, upload it to Power BI, and transform it into a dynamic dashboard in minutes. This tight integration ensures that you get more out of the tools you're already familiar with, enhancing productivity and collaboration across teams.
Power BI’s integration with the entire Microsoft Fabric product suite further extends its capabilities, allowing seamless data integration and advanced analytics. This means you can handle large volumes of data, maintain historical data effortlessly, and derive deeper insights, all while ensuring smooth collaboration within Microsoft’s ecosystem.
Whether you're a startup, SMB, or a multinational corporation, Power BI scales to meet your needs. For smaller businesses, it offers a cost-effective way to start leveraging data without a huge upfront investment. You can even start using Power Bi for free and learn its functionalities before going for the more expensive packages.
For enterprises, it can handle large datasets, support numerous users with granular access controls, and provide the flexibility to add more features as needed. This scalability means that Power BI is a great long-term solution for your Business Intelligence needs, adapting to your requirements.
Budget is always a consideration, and Power BI shines in this area too. Compared to other business intelligence tools, Power BI offers a robust set of features at a competitive price.
It is worth noting that you can use Power BI Desktop for your own purposes completely for free with most of its features. However, you need to upgrade to Pro or Premium to share reports or use some more advanced features like AI, paginated reports, etc.
Pricing per license starts at $9.99 USD per user/month and can vary depending on the scale and specific needs of the deployment.
For the most up-to-date pricing packages for Power BI, check the following page.
Keep in mind that Microsoft often incentivizes larger purchases and longer commitments, so your final price may be lower. Additionally, Microsoft Partners are sometimes able to provide additional discounts. This cost-effectiveness doesn't come at the expense of functionality. You still get advanced analytics, real-time data updates, and powerful visualization capabilities, all without breaking the bank.
We already know why it is important to have Power BI set up in your organization, also we understand that Power BI can be used by someone who doesn’t really have much technical expertise. Then why do you need a team to implement and develop your Power BI project?
While implementing Power BI, there will be several challenges that you will encounter - for example, when installed as-is, it has several default settings that might limit your capabilities and use of data.
If your organization is large and already has a big amount of data spanning several years, you might need to implement several other solutions such as Azure Data Lake or AWS S3 to store large volumes of historical data or Azure Synapse Analytics to handle large-scale data warehousing needs among others to make Power BI work seamlessly within your organization and properly analyze your data.
But don’t be discouraged, you don’t need every tool from Azure’s offering to build your final data platform, you can pick and choose based on your needs and your use cases making sure that your costs are minimized, and your budget is well spent. This is where working with consultants and architects can help you save in the long-term. Another important point is that using the basic features and functionalities of Power BI doesn’t really require technical expertise, however, to use it at maximum capacity it does require an experienced data analyst.
Here are some of the challenges you might encounter when implementing the BI solution and how to address them.
One of the most frequent challenges can represent the cost. Even though at first glance, compared to the other similar solutions Power BI is quite inexpensive, when you buy licenses for a large organization the costs are going to add up.
Licensing strategy is critical for cost optimization. Instead of starting with Power BI Premium per capacity, which costs around $5,000/month, first make sure how many users will require access to your reports. If it is fewer than 500 users, it is probably better to stick with Power BI Pro licenses at $10/month. However, be cautious about the features you plan to use. If you need features like dataflows, XMLA endpoint read/write, larger storage (10GB/user vs 100TB), or higher refresh rates (8/day vs 48/day), you will still need to go with premium licenses. Power BI Premium Per User can be considered here depending on the number of users.
Handling large datasets in Power BI can lead to performance issues, causing slow report generation and lagging dashboards.
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With all the strict data-related regulations and requirements, organizations are focusing on data security and compliance. Having the right measures in place to protect your data and avoid business discontinuity can be a challenge for most organizations.
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Getting users to adopt Power BI and use it effectively requires adequate training and support.
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Integrating Power BI with existing systems and data sources can be complex and time-consuming.
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Many people are not aware that refreshing data from on-premises databases like SQL Server in Power BI service (cloud) requires setting up a gateway. While not very complicated, it does require some administrative effort and access, which might be limited by available resources.
When connecting to data in Power BI, you need to choose between Import or Direct Query mode.
Import Mode: Power BI captures and caches a snapshot of your data, creating a point-in-time snapshot. This method leverages the Vertipaq engine for better performance, allows greater functionality with M and DAX functions, and supports combining multiple data sources. However, it involves delayed data updates (up to 8 times a day) and data size limits.
Direct Query Mode: This method queries the data source at run time, ensuring the most up-to-date data. It results in smaller file sizes and less storage requirement on Power BI Service. However, it can lead to slower performance due to reliance on the source system and has limited transformation capabilities.
Pros and Cons:
Considerations:
Composite Models: Combine dimension tables using Import mode and fact tables using Direct Query for a balanced approach.
For more detailed information, you can refer to this link.
By addressing these challenges and solutions, organizations can effectively implement Power BI, ensuring it works seamlessly within their infrastructure and meets their analytical needs.
Now that you understand some of the different challenges that you might encounter during and after implementation and why you need an experienced technical team to support you, let’s go through the implementation plan based on our experience.
The Power BI solution is going to be implemented and developed in multiple phases, each of the phases requiring a different set of skills to ensure that your data is used correctly, and your dashboards are accurately showing you the data you need.
For the Business Analysis part of the first phase, you will need both a Business Analyst & Data Architect.
The Analysts will work closely with your business stakeholders to gather and analyze business requirements, design dashboards and visualizations, and ensure the reports align with your organization's needs.
As for the Data Architect, they are responsible for structuring and optimizing data sources, establishing data management processes, and ensuring data integrity and security in the Power BI ecosystem.
Typically, in the first phase of the project, the Data Architect is responsible for delivering a High-Level Design (HLD) document. This document covers the design overview, tools and pricing analysis, reports requirements, business process descriptions, and project timelines.
Between the Business Analyst and Architect, you can expect the following deliverables in the High-Level Design (HLD) document:
When assessing the Data Acquisition and Data Transformation part of the phase, you will need a Business Analyst, a Data Architect and Data Engineers & Analysts.
The Data Architect and the Business Analyst will collaborate to define frameworks and standards that guarantee consistency and accuracy.
Based on the frameworks and standards, the data engineers will develop a data model aligned with the company’s goals and will provide a robust foundation for data analysis.
For the Data Visualization part of Phase 2, you will need a Business Analyst, a UX/UI Designer and Data Engineers & Analysts.
The Data Visualization team must collaborate closely to create visually appealing, informative and accurate dashboards and reports. They should carefully organize the dashboards and reports into logical categories and ensure that all interfaces are user-friendly.
Next part of the development cycle is Deployment and Integration, where you will need a team of Data Engineers & Analysts supported by a Business Analyst.
The assigned team must create and support separate DEV and PROD (or more if provided by the back-end team) app deployments. Source code should be stored in Azure DevOps. Build and deployment pipelines should be configured and run in this cloud-native environment.
As a best practice during this stage, it is important for the implementation to go according to the enterprise standard design patterns, while the code should be clean and efficient.
For the Quality Assurance part of Phase 3 you will need a team of Data Engineers & Analysts and Business Analyst support.
Quality Assurance during this phase has the goal to ensure that all components of the system are thoroughly tested and meet the required quality standards before the Power BI solution is deployed for use.
During the User Training part of this phase, you will need a team made up of a QA specialist and Business Analyst Support.
They must conduct a comprehensive training program to familiarize users with the power BI interface, features and functionalities. The team must provide hands-on training sessions with sample data to ensure users know how to use the BI solution.
After you finalize implementation, and your staff is ready to use the solution, you should be aware that you will be required to maintain and improve your solution to the latest standards.
The first part of this phase is the Post Implementation Support, where you will need a dedicated team of Quality assurance and Data Engineers & Analysts. They will provide support to resolve any technical issues, user questions or even cover any troubleshooting requirements.
The team will monitor the performance of Power BI dashboards and reports to ensure optimal functionality, while also regularly updating and refreshing data sources and models to reflect the latest information. This team must be versatile so it can also monitor the application and cover production issues and develop new features.
For the Evaluation and Continuous Improvement part you will need a team made up of a Data Engineer & Analysts, a Business Analyst, and a Quality Assurance Specialist. They will be your post-implementation team.
This team must collect conclusions from data visualization and use them to continually improve the Power BI solution. They should also be capable of identifying areas that can be improved and implementing new functionalities.
For technical professionals looking for a solid and reliable business intelligence tool, Power BI offers a range of practical benefits. Here’s a closer look at why Power BI is such a popular choice.
Imagine having to decide over launching a new product or operational practice without a way to visualize the existing data. It’s like diving head on from a cliff in the middle of the night, you don’t know if you are going to hit a rock or fall into the water, and even if you hit the water, you don’t know it’s depth or what creatures are lurking under it – you wouldn’t dive in these conditions would you?
That’s how it feels to manage a business without up-to-date data.
Power BI can connect to various data sources and update your dashboards automatically, so you’re always working with the latest information. However, achieving true real-time (or near-real-time) data insights often requires a well-prepared setup and may not be straightforward or applicable in all cases. With the right configuration, you can track sales performance, financial metrics, operational efficiency, or customer behavior with up-to-date data, enabling you to make decisions quickly and accurately.
No two businesses are the same, and Power BI understands that. You can design your dashboards to show the metrics and visuals that are most important to you. For example, if you’re a sales manager, you might want to see sales trends, regional performance, and top-performing products all at a glance. Power BI offers a range of visual options, from simple bar charts to complex maps, so you can present your data in a way that makes the most sense for your needs.
Data security is a major concern for everyone these days. Power BI is built on Microsoft Azure, which means your data is encrypted and secure both when it’s stored and when it’s being transmitted.
You can control who has access to your reports and dashboards, ensuring that sensitive information is only seen by those who need to see it. Power BI also meets major industry standards and regulations, so you can be confident that your data is being handled properly.
One of the best parts about using Power BI is the community. There are countless forums, user groups, and online tutorials where you can find answers to your questions and share your experiences. Microsoft also offers solid customer support if you run into any issues.
But if you are working with an experienced external team, they can cover most of the challenges you encounter during and after implementation without you needing to spend valuable time finding out the core of the error.
Power BI is always getting better. Microsoft releases an update every month, adding new features and improving existing ones. This means you’re always using the latest and greatest version of the tool.
For example, recent updates have included new visualizations, better data connectivity options, and performance improvements. By using Power BI, you’re investing in a tool that will keep growing and evolving with your business.
One of Power BI's standout features is its ability to link to disparate data sources. This database-agnostic nature means it can integrate data from various systems, whether it's from cloud-based databases, on-premises servers, or even Excel spreadsheets. This flexibility allows you to combine and analyze data from multiple sources in one place, providing a comprehensive view of your business.
Power BI makes it easy to share insights with stakeholders. You can publish reports to the Power BI Service, enabling team members to access the information from anywhere with an internet connection. This shareability ensures that everyone in the organization is on the same page and can collaborate effectively using the same data sets and reports.
Writing reports in Power BI is generally easier compared to native ERP systems. Power BI's intuitive interface and powerful data modeling capabilities simplify the report creation process, allowing users to generate insightful reports without extensive technical expertise.
In Power BI, each data point does not exist individually like in Excel, where every cell can be hand-modified. The creator can control the data model, ensuring that users cannot inadvertently damage data or get the wrong answer by modifying the data incorrectly. This centralized control helps maintain data integrity and accuracy across the organization.
Power BI integrates seamlessly with Microsoft credentialing, which is already widely adopted in business environments. This integration simplifies the authentication process and enhances security, making it easier for users to access the system using their existing Microsoft credentials.
Power BI is web-based, meaning anyone with a web browser and a basic understanding of how to navigate web pages can customize queries with just a few clicks. This accessibility ensures that users across the organization, regardless of their technical proficiency, can interact with and analyze data effectively.
Power BI operates on a relatively inexpensive SaaS model, making it a cost-effective solution for businesses of all sizes. It can also be rolled into the enterprise purchasing process with other Microsoft products, providing additional cost savings and integration benefits.
Relative to other business intelligence tools, Power BI is easy to learn. Its intuitive interface, extensive online resources, and community support make it accessible for new users while still offering advanced capabilities for experienced professionals.
By leveraging these benefits, Power BI can help your organization make informed decisions, streamline operations, and drive business success.
Our team worked with companies from different industries in implementing and sorting out their business intelligence capabilities with Power BI. We are experienced and we understand that different organizations require different types of skills.
One group of people for whom Power BI is a great fit for is C-Level individuals and VPs, Directors, or Heads of Data looking to upgrade their legacy reporting platform – where often an overall analytics overhaul also comes into play.
There are still many large companies who are using Excel – even though Excel is still a viable way to keep track of different KPIs, Power BI is like a “Super Excel”, you have access to familiar functionalities while also benefiting from new and improved functionalities that helps you and your team to get your reporting to the next level.
Use Case: A great example of moving from Excel-based reporting to Power BI is our Hochland case study. Hochland was looking for a Technology Partner that would develop their current data models, database solutions, and implement Business Intelligence systems for them using Power BI.
After the implementation, Hochland’s BI department switched from Excel to Power BI which increased their speed and efficiency in the BI operations. By implementing a data warehouse, all the data in the company was unified into a single source for the entire organization.
Power BI is also for team leaders or managers who need support in their business intelligence development. We can provide any roles necessary for Power BI support – from Business Analysts, and Data Architects, to a team of Data Engineers or QAs, we have everything covered and can offer support right away.
The reporting solution isn’t limited to large organizations; even smaller companies can benefit from it. Maybe you want to improve your business intelligence to increase your competitiveness in the market – Power BI can help you with it, especially when you are looking beyond Excel. Even with a smaller budget, a company can benefit from Power BI implementation and development, on a longer term, good business intelligence can have a significant impact on operations and decision-making.
When choosing a business intelligence tool, it's important to consider how Power BI stacks up against other popular options like Tableau, Qlik Sense, and Looker. However, at their core they are all business intelligence tools, the difference comes into details and pricing.
Here's a straightforward comparison to help you understand which are the strengths and weaknesses if we compare other popular tools with Power BI:
Seven years ago, if we were to ask a Chief Technology Officer, Head of Data & Insights, or a Business Analyst which is the best BI tool on the market, they would’ve likely pointed out one of the last three: Tableau, Qlik Sense, or Looker. Most of the BI specialists didn’t even know that Power BI existed, as it was considered only like a premium version for Excel.
However, with continuous development, and by adding new updates and features monthly, Microsoft managed to make a best-in-class solution that is easy to use, easy to learn, is accurate and can be enhanced flawlessly especially if the organization has a Microsoft tech stack already in place.
Does this mean we are saying there is no other viable option than Power BI? No, there are several other options, and all of them are quite good – but while you can start using Power BI for free, the other options are quite pricy, and don’t receive updates as often as Power BI does.
Effective data preparation and modeling are the cornerstones of any successful Power BI implementation. Here’s how to get it right.
Think of data as the foundation of a house. If the foundation is shaky, the whole structure is at risk. Similarly, if your data is inaccurate or dirty, your insights and decisions will be flawed. Ensuring your data is clean and accurate means taking the time to eliminate errors, inconsistencies, and duplicates. This might seem tedious, but it's essential for reliable analysis. Clean data leads to accurate reports, which in turn supports sound business decisions.
Power Query is like a magic wand for data transformation in Power BI. It allows you to connect to a wide variety of data sources and transform your data before it even gets into Power BI. With Power Query, you can filter out unnecessary information, merge datasets, and perform complex calculations—all without needing to write extensive code.
Its low-code interface makes it accessible for users who may not have a strong background in programming, allowing them to perform advanced data transformations with ease.
Another powerful feature of Power Query is its data profiling tools, which help you explore the quality of your data. These tools include:
To enable these data profiling tools, go to the View tab on the ribbon in Power Query Desktop and select the options you want in the Data preview group. By default, Power Query performs data profiling over the first 1,000 rows, but you can change this to profile the entire dataset for a comprehensive analysis.
By leveraging these tools, you can ensure your data is clean, consistent, and ready for analysis in Power BI.
Once your data is clean, the next step is to model it correctly. Good data modeling helps Power BI understand how different pieces of data relate to each other, which is crucial for accurate reporting and analysis.
Designing effective dashboards and reports in Power BI is key to making your data easy to understand and actionable. Here are some best practices to ensure your designs are both user-friendly and impactful.
When designing dashboards and reports, always keep the end-user in mind. Think about who will be using the reports and what they need to know. A good user experience means that your audience can quickly and easily find the information they need without getting overwhelmed or confused.
For example, if your dashboard is for sales managers, highlight key metrics like sales performance, targets, and top-performing products right at the top. Use intuitive navigation so users can drill down into more detailed data if they wish. The goal is to make the dashboard as intuitive and accessible as possible, ensuring that users can get their questions answered at a glance.
It's tempting to use all the flashy visuals Power BI offers, but simplicity often leads to better understanding. Too many charts and graphs can clutter your dashboard and make it hard to find key insights. Stick to the visuals that best represent your data and avoid unnecessary embellishments.
For instance, if you want to show sales trends over time, a simple line chart might be more effective than a complex combination of multiple chart types. Make sure each visual has a clear purpose and only includes the most relevant data points. This helps users focus on what’s important without distraction.
Additionally, limiting the number of visuals per page can greatly improve your report's performance. Fewer visuals mean faster rendering times and a more responsive user experience. Aim to include only the most critical visuals on each page, ensuring that your dashboard remains both informative and efficient.
Consistency in design makes your dashboards and reports look professional and cohesive. Power BI allows you to use themes and templates to ensure a uniform look and feel across all your reports. This is especially useful in larger organizations where multiple people might be creating reports.
By applying a consistent color scheme, font style, and layout, you help users familiarize themselves with your reports more quickly. For example, you might decide that all financial reports use a blue theme, while operational reports use a green theme. Templates can also save time by providing a starting point that includes all the standard elements you need, such as logos, headers, and footers.
Optimizing the performance of your Power BI dashboards and reports is important for providing a smooth and efficient user experience. Here are some best practices to ensure your Power BI solutions run quickly and effectively.
Nothing frustrates users more than slow-loading reports. To reduce data load times, start by minimizing the amount of data being loaded into Power BI. Import only the data you need for your analysis and reports.
Consider loading only the necessary data, both in terms of time range and columns, or aggregating data where possible. For example, instead of loading an entire year's worth of data, consider loading only the last six months or aggregating data to a higher level (e.g., monthly instead of daily). Additionally, use query folding whenever possible, which allows transformations to be pushed back to the data source, reducing the amount of data processed by Power BI.
Data Analysis Expressions (DAX) is a powerful language used in Power BI for creating custom calculations. However, complex DAX calculations can slow down your reports if not optimized properly.
To optimize DAX calculations:
For example, instead of repeatedly calculating total sales in different parts of your DAX code, calculate it once using a variable and reference that variable throughout your formula.
Power BI’s Performance Analyzer is an excellent tool for diagnosing and improving report performance. It allows you to see how long each visual takes to render and identify bottlenecks in your report.
To use the Performance Analyzer:
For instance, if you notice that a particular visual is taking too long to load, you can drill down to see if it’s due to a complex DAX calculation. Additionally, performance issues can arise from having too many visualizations on the same page. Performance Analyzer tells you where the issue is, but it doesn't give specific reasons for it.
To get more detailed information about the issue, you should export the problematic DAX query into DAX Studio, where you can analyze it further. DAX Studio provides advanced tools and insights for diagnosing and optimizing DAX performance, helping you identify the exact causes and take appropriate steps to resolve them.
For most companies, especially if we are talking about heavily regulated industries, data governance and security represent a priority.
Ensuring that your data is safe will protect you from future reputational damage and business continuity issues.
Here are a few best practices to ensure data protection.
Role-based access control (RBAC) allows you to control who has access to what data based on their role within the organization.
To implement RBAC effectively:
Compliance with data protection regulations like GDPR, HIPAA, and CCPA is essential to avoid legal issues and protect sensitive data.
To ensure compliance:
Maintaining security is not a one-time task but an ongoing process. Regularly reviewing and updating your security settings is crucial to stay ahead of potential threats.
To keep your security settings up to date:
Effective collaboration and sharing are vital for maximizing the value of your Power BI reports and dashboards. By following best practices, you can ensure that your insights are easily accessible and actionable across your organization. Here’s how to make the most of Power BI’s collaboration features.
Sharing your Power BI reports and dashboards efficiently ensures that the right people have access to the right insights at the right time.
Power BI Service is a cloud-based platform that enhances collaboration by providing a centralized space for sharing and managing reports and dashboards.
Efficiently managing workspaces and datasets is crucial for maintaining organization and ensuring data accuracy.
To fully leverage Power BI’s capabilities, you should stay engaged with its continuous development and cultivate ongoing learning within your organization.
Power BI is constantly evolving, with Microsoft regularly releasing new features, enhancements, and performance improvements. Staying updated with these changes can help you take full advantage of Power BI’s capabilities.
Microsoft offers a wealth of learning resources and a vibrant community to help you deepen your Power BI expertise.
Webinars and training sessions provide opportunities to learn from experts and stay informed about the latest trends and best practices.
We understand that you might feel overwhelmed by the amount of information you have to digest about Power BI to decide whether it’s a good solution for you or not and how to start off with it but hear us out: You are not alone!
Regardless of your experience and understanding of Power BI, if you don’t know exactly what you want or how to translate your thoughts into a BI solution, your implementation is going to be a time-consuming effort and can end up into something that’s not working how you intended.
Even if Microsoft is offering support and a large community to help you, scraping through their articles to find the information you need might take a lot of time and energy. What we propose is that instead of turning Power BI into a DYI project, or relying on the underwhelming default settings, you can always look for a team of experienced business analysts, architects and developers who will support you and your team with the Power BI planning, development and implementation.
If you have already made up your mind and are actively seeking someone to help with your implementation, here’s our 4-week Proof of Concept (PoC) implementation plan that can get you up and running quickly to evaluate Power BI’s fit:
One data architect and one business analyst will lead the project. Below is our proposed timeline, which will be adjusted based on your needs and expectations.
Depending on your company’s current needs and business use case, we can also conduct additional activities in specific cases:
We understand that you need to maintain business continuity, and our plan will not interfere with your business activities.
You don’t know if your budget or expertise is enough to successfully implement Power BI in your company? You are not sure if you need any other adjacent implementations to complement Power BI? You haven’t figured out the whole list of customizations that are required by your organization?
Don’t worry! We encourage you to book a free consultation call with our team of experts and let us help you with shaping an implementation plan tailored to your needs.
If we managed to intrigue you, and you’re curious about our experience, you can read more about our public case study of how we implemented Power BI for Hochland. We have several other case studies; we can share those with you during the consultation call and in a 1:1 format due to existing NDAs.
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