Welcome to our latest guide on utilizing Microsoft 365 to streamline your employee onboarding process.

Today, we’ll explore how three powerful Microsoft 365 tools—SharePoint, Beyond Key’s Employee Onboarding SPFx, and Microsoft Copilot—can transform your onboarding experience with our BuddyBot Chatbot.

Why Employee Onboarding Processes Matter

Every organization, whether large or small, needs a robust onboarding process. Effective onboarding ensures new employees are integrated smoothly, increasing productivity and employee satisfaction. The right tools can make this process not only efficient but also stress-free.

The Power of SharePoint in Onboarding

SharePoint is an ideal platform for managing your onboarding documents. It offers a centralized location where all necessary documents can be stored and accessed securely.

SharePoint’s enterprise-level security features ensure that all sensitive personnel information remains protected. This makes it an excellent choice for organizations looking to maintain compliance and safeguard their data.

Introducing Beyond Key’s Employee Onboarding SPFx

At Beyond Key, we’ve developed an Employee Onboarding SPFx specifically for SharePoint. This tool is designed to guide you through the employee onboarding process, making it easier to manage and track new hires’ progress.

In upcoming tutorials, we’ll provide detailed steps on how to use this SPFx effectively.

Microsoft Copilot: The Future of Onboarding Support

Microsoft Copilot, a generative AI tool like ChatGPT, is another onboarding game-changer. We’ve integrated Copilot into our BuddyBot chatbot, which can answer employee questions in real-time. Whether it’s a query about leave policies or other HR-related matters, BuddyBot provides quick, accurate responses.

Real-World Application: How BuddyBot Enhances Onboarding

Imagine you’re an employee who needs information on the company’s leave policy. Instead of searching through documents, you can ask BuddyBot.

The chatbot will pull the relevant information from the appropriate documents and provide you with an answer. This saves time and reduces the frustration of navigating complex HR policies.

The Benefits of Integrating AI into Onboarding

The main advantage of using AI like Microsoft Copilot in onboarding is the ability to work smarter, not harder. Employees spend less time searching for information and more time focusing on their core tasks. This leads to increased efficiency and overall job satisfaction.

Conclusion: Streamline Your EmployeeOnboarding Process

Incorporating tools like SharePoint, Beyond Key’s Employee Onboarding SPFx, and Microsoft Copilot into your onboarding process can significantly enhance the experience for new employees. If you’re interested in learning more about implementing these tools, contact us via the link below.

We’d love to hear your thoughts! If you have any questions or comments, please share them below. Let’s work together to create a more efficient and effective employee onboarding process for your team.

The post Transform Employee Onboarding Processes with BuddyBot ChatBot appeared first on Beyond Key.

The podcast today is the latest episode of Beyond Transformation, where we talk about Snowflake DBT or data build tools. To help with the topic, Prabhash Thakur from Beyond Key joined.   

Beyond Transformation is brought to you by Beyond Key. Beyond Key is a software development solutions organization. One of the services that we offer is Snowflake. DBT interacts with Snowflake.  

Snowflake DBT Overview

Dbt is short for a data build tool. It’s a development framework combining modular SQL and software engineering best practices to make your data transformation reliable, fast, and fun. 

Dbt is familiar to those who know how to write SQL select statements. They have the power to build their models, write test scenarios, and schedule their jobs to produce reliable, actionable data sets.  

When you have data, you need to transform the data to give you business insight so that you can build the report on top of this. DBT acts as an orchestration for your transformation.  

What is Dbt?  

First, dbt is not a data warehousing solution. For example, in data warehousing, you follow the ETL (extract, transform, and load) approach,   

In ETL, you first extract and load full raw data into your data warehouse that will act as a data link, and then you do the transformation on top of that raw data. 
You then always have the true data, so you can perform as many transformations as you want. DBT helps you with the “T” or the transformation part of ELT.  

Analytical Engineering: Data Engineering and Data Analyst  

DBT uses another concept called analytical engineering. Analytical engineering acts as a bridge between data engineering and data analysis.  

When we talk about data engineering, we build custom data integrations to manage the overall pipeline orchestration. Then, we deploy machine learning endpoints to build and maintain the data platforms.  

Data engineering folks will then do some performance optimization. Analytical engineering provides clean, transformed data ready for analysis using software engineering best practices.  

For example, delivering your models into small sprints. That’s agile methodology. It’s very difficult to perform agile methodology in data engineering because it is not enabled everywhere.  

DBT comes with that. The tool documents the transformation in case anyone needs to review how the data transformed, what logic was used for the process, and the data sources.  

On the other hand, a data analyst will do deep inside work like why did this point spike last month? What are the best acquisition channels? Then, they will work with the business users to understand data requirements to build forecasting dashboards.  

DBT is key to analytical engineering because it maintains the documentation and trains business users how to use the data visualization created from the transformation of insights. As we said earlier, DBT is the “T” or the transformation of data.  

How can you use DBT to transform your data into usable insights?  

DBT is not connected to your extraction tool like how data is coming inside Snowflake or other data warehousing solutions like:  

• BigQuery  
• Databricks  
• Postgres  
• Redshift  
• Spark  
• Azure Synapse   
• Teradata  

The number of platforms connected to DBT keeps changing. You need to take the data and load it in raw format into your data platform; DBT will connect your data platform.  

It will use your data platform’s compute and storage resources. You can access the DBT through your account credentials or use service account credentials to perform the transformation.  

How can you use DBT to transform your data into usable insights with the right BI tool? 

You can start building your DBT models by creating SQL files with select statements. DBT will do the rest for you.  

For executives, an SQL file is like a CSV file. You create a .SQL file that works with any code editor like Notepad++ or VS code to store relational databases.  

You can write data testing scenarios to make your data trustable, which is, again, very easy as dbt comes with some generic test scenarios.  

Not only this, but you can also use packages like dbt-expectation to solve your complex and granular test scenarios. 

And still, if that doesn’t fit your requirements, you can write your custom scenario once and use it across your project. 

DBT also acts as a single source of truth. You can define your metrics inside dbt and connect your reporting tools with dbt (which dbt calls the semantic layer) to get those metrics directly from dbt. By doing this, you never get two values for the same metrics. 

Once that is ready, you can connect your BI tools as usual and start consuming those tables for your report. 

What data engineering problems does DBT solve? 

Eliminates Data Silos: 

Data silos are isolated data that are stored in separate data sources. Today, data silos are common trends across industries.  

Data from different departments like sales and marketing reside in various sources. Without centralization, marketing professionals will struggle to access sales data and vice versa. This reduces the data engineers’ productivity as they often must work on ad-hoc data models for different teams. Being reactive over proactive impacts the efficiency of the entire organization. 

You can become proactive by creating a centralized logic for different dbt use cases within a data warehouse. Dbt can help you create all your transformational logic with models that can be leveraged across multiple downstream processes.  

Data Quality 

Data quality is one of the biggest challenges for data engineers. 

Most of the time, data engineers spend on updating, maintaining, and identifying quality issues in the data pipeline. Since data come from multiple sources, the same records are often stored in different forms and structures. This makes it challenging to clean and enrich data to create a single source of truth. 

dbt allows you to clean data with simple SQL statements or Python programming. 

As we already discussed, how dbt can help you with testing scenarios.  

You can also add a source freshness test, which will give you a warning or error if data becomes stale after a certain period. 

Brings Transparency 

Analysts are often critical of the data they are using for generating insights. This happens because analysts are not aware of the source of data. You need to understand where the data is coming from and what kinds of transformation it has gone through.  

Answers to these questions allow analysts to carry out business intelligence processes and generate reports confidently. Analysts can communicate with the decision makers to trust the insights if they know everything in and out of the data source.  

dbt eliminates the need for guesswork and brings trust among stakeholders by providing data lineage and documentation. Data lineage lets you track the data’s history, origin, and transformation. Data lineage in dbt is represented by a Directed Acyclic Graph (DAG). It is also used to understand the dependencies among models to ensure you build dbt projects with complete transparency.  

On the other hand, dbt documentation assists you in identifying the types of transformations, the logic associated with models, and more. dbt documents also include information about test cases to eliminate any data discrepancies. Any business needs to make decisions based on accurate insights. As data engineers can streamline the generation of documentation and data lineage, it brings trust among decision-makers.  

Simplifies Data Pipeline Workflows 

With dbt Cloud, you can use built-in CI/CD features that don’t require extensive maintenance. You can set up CI/CD with GitHub or Azure DevOps to automate runs and check your data on pull requests. CI jobs can be further triggered with APIs to check the impacted models before deployment. You can also standardize the format of SQL code pushed to make changes. 

Is it better to use DBT Cloud or DBT Core?  

Although dbt core is free to use, and dbt cloud comes with some costs starting at $100/month, Dbt cloud is a better option. It comes with beautifully integrated capability for CI/CD Jobs and scheduling pipelines. 

It’s a browser-based UI with no need to install any software or maintain any dbt version. The UI has SQL formatting capability, making your code look good and readable. 

It also comes with dbt documentation hosting that supports API Job triggers. You can orchestrate your data ingestion and then data transformation. 

As we discussed earlier, the dbt semantic layer will give you a single source of truth for your business metrics; it is supported only by the dbt cloud. 

Finally, the dbt cloud has certifications for ISO, SOC2, GDPR, PCI, and HIPAA data security. 

What BI tools will this work with specifically?  

Depending on your data warehouse, dbt is an orchestration tool. The queries will still run inside your data platform using the data platform’s resources like computing and storage. 

Regarding the semantic layer, currently, only 5 BI services are supported, such as Tableau, Google Sheets, Hex, Lightdash, and Power BI Mode. 

The key is whether your data warehouse can connect to these services. If so, then dbt is just like an orchestration tool. Queries will still run inside your data platform using the data platform’s resources like compute and storage. 

Final Thoughts 

If you have more questions about dbt Cloud and how to integrate it with Snowflake, connect with our team for a free 30-minute consultation call.  

The post Snowflake DBT Tools appeared first on Beyond Key.

Manufacturing is a process-heavy industry. However, manufacturers need to leverage these processes to better the customer experience. Therefore, the right CRM is a great step forward for manufacturing companies.

Dynamics 365 (D365) is a comprehensive, cloud-based collection of apps.  D365 helps manufacturers achieve unify operations, improve processes, and engage with customers.

The increasing accessibility of digital manufacturing tools, such as cloud storage, makes it easier than ever to create “smart factories”. That is to say, these smart factories’ devices, assets, and resources sync global operations and make the industry more productive.

Dynamics 365 helps manufacturers monitor CRM automation by processing and gleaning data in real-time. You can view the performance, usage, and machine lifecycle information anytime, anywhere. It is also possible to resolve any issues remotely to maximize uptime.

Dynamics 365 CRM for Manufacturing

For manufacturers, Microsoft Dynamics 365 bridges the gap between CRM and ERP systems to produce rich analytics, embedded intelligence, and easy-to-use applications.

Moreover, D365 unites every aspect of the manufacturing supply chain to ensure a smoother fit for all organizations.

Dynamics 365 offers greater insight into business operations, optimizing systems, shortening processes, and cutting costs. With real-time product, customer, and performance data, manufacturers also have more freedom to improve their operations and react to changes faster.

Dynamics 365’s centralized, intelligent platform allows manufacturers the agility to adapt to changes at any point in the business cycle. Users can:

• Push through rush orders from the initial sales order
• Update or edit orders throughout the production process
• Utilize multi-level production orders to simplify make or buy decisions
• Run “what-if” scenarios to better prepare for changes and predict their effects.

Custom-built Dynamics 365 CRM for Manufacturing examples:crm for manufacturing

• You can Integrate many Microsoft tools with Dynamics CRM. For example, the Microsoft App Launcher provides you access to the entire Microsoft 365 suite of products.

• You can access your custom entities and categories anytime in the left navigation menu:

• Also, create different views for entities and fields to access them directly in a single view

• Most importantly, you can create Multiple Dashboards, Charts, and Views based on custom entities and fields to view your organization’s performance

Custom-built Dynamics 365 CRM:

If your manufacturing company needs a custom-built Dynamics 365 Manufacturing CRM, contact us at Beyond Key Systems to build it for you.

Every manufacturing company has its own needs and workflows. Consequently, it is a good CRM does can be customized to fit your current processes.

A few more benefits include:

Robust Project Management

Imagine if you monitor your manufacturing operations’ performance (timely execution, quality, and cost) with production performance Power BI reports. Additionally, you can review, monitor, and approve all charges and time impacting projects through intuitive dashboards and respond quickly to scope changes and project risks by managing critical KPIs and ensuring profitable service delivery.

Get Visibility into Operations

• Improving access to your supply chain data with Dynamics 365 will improve communication between the production, supply, service, and sales teams. Fostering collaboration across departments and connecting various business systems offer a better understanding of operations.

Improve Productivity

• Manufacturing productivity comes from having a consolidated view of operations and access to mobile and virtual reality tools to monitor and resolve issues remotely through Dynamics CRM
• Creating personalized sales documents with
  • Office 365 tools
  • Event-driven sales process
  • Workloads
  • Relevant and contextual documents
  • Offline on phones and tablets
• Real-time updates offer greater visibility and an accurate view of the buying cycle to ensure procurement stays within the company’s preferred quantity and price levels.

Employee Productivity and Efficiency

• Collect and analyze data from connected products and equipment
• Empower employees to collaborate more efficiently
• Automate processes
  • Across the manufacturing lifecycle
  • Accelerate production
  • Improve the cycle of innovation
• Create a better vendor experience
• Provide employees with a 360-degree view of customer assets and work order history to understand customers and their needs better
• Enable instant feedback from machine learning algorithms for successful troubleshooting and maintenance

Customer Service and Engagement

• Adopt a customer-centric approach while optimizing operations
• Create and deliver personalized content that customers can access anywhere and anytime
• Engage customers across the product lifecycle from production design to field service
• Offer a range of value-added services that increase revenue and strengthen customer relationships.

Real-Time Insights

• Simplify and accelerate business process changes by
  • Integrating legacy systems
  • Scaling globally at their own pace
• Consolidate the process and institutionalize efficiency gains by monitoring issues remotely
• Equip technicians with mobile and virtual reality tools that leverage existing expertise while minimizing costly engagements.

Boost profitability

The whole point of improving processes, streamlining workflows, and boosting customer loyalty is to make your manufacturing business more profitable. As a result, Dynamics 365 provides manufacturers with the tools and business intelligence solutions to make their services better, faster, and customer-focused.

• Dynamics 365 accomplishes these goals by eliminating waste, reducing errors, and providing more value to their customers.

Dynamics 365 CRM for Manufacturing Conclusion:

In conclusion, we at Beyond Key Systems help manufacturing companies streamline their workflow, improve vendor management, promote a better supply chain management with Dynamics 365.

To learn more about how Beyond Key System can help your manufacturing company, please contact us at contact@beyondkey.com or visit our website www.beyondkey.com.

The post How to Benefit from a Microsoft Dynamics 365 CRM for Manufacturing appeared first on Beyond Key.

Stay competitive in the automotive industry today by building a strong relationship with the customers. To support our automotive retail clients, we help them stay in touch with their customers through Microsoft Dynamics 365 Customer Relationship Management (CRM) solution.

The CRM provides a powerful tool for capturing, managing, and successfully utilizing customer information in a dealership’s marketing and sales activities.

Microsoft Dynamics 365 CRM for Automotive Industry

Microsoft Dynamics 365 CRM for Automotive is an open system that integrates with other business applications such as an ERP or an automotive dealership management system (DMS).

Dynamics CRM for Automotive implements precise retailer requirements with minimal development and management costs as a fully open business cloud platform.

Microsoft Dynamics 365 Automotive CRM benefits include:

AI and Machine learning

• Microsoft Dynamics 365 solution allows data flows from various sources
• MS Dynamics uses AI to help the organization predict decisions about how many cars to order and the life cycle of a specific vehicle
• Automotive companies can integrate AI with customer management, manufacturing equipment management, and vendor management
• Monitor the car’s performance on the road.

Financial Accounting

• Full integration with other application areas to ensure you can connect and analyze your financial data in real-time
• Financial accounting, financial planning, and cash flow management match the client company code, cost center, cost object, and other dimensions.

Improve Productivity

• Receive a consolidated view of operations and access to mobile and virtual reality tools to monitor and resolve issues remotely through Dynamics CRM
• Create personalized sales documents using familiar Office 365 tools
• Leveraging a rich, event-driven sales process, prioritizing workloads, viewing relevant and contextual documents, and working offline on phones and tablets to improve productivity
• Develop greater visibility and an accurate view of the buying cycle to ensure procurement always stays within the indicated quantity and price level.

Employee Productivity and Efficiency

• Collect and analyze data from connected products and equipment
• Empower employees to collaborate more efficiently
• Automate processes across the automotive lifecycle and improve the cycle of innovation
• Provide employees with a 360-degree view of customer assets and work order, test drives, and their buying history to understand customers and their needs better
• Enable instant feedback from machine learning algorithms for successful troubleshooting and maintenance.

Customer Service and Engagement

• Adopt a customer-centric approach while optimizing operations
• Create and deliver personalized content that customers can access anywhere and anytime
• Offer value-added services to complement car sales and improve customer relationships.

Real-Time Insights

• Simplify business process changes by seamlessly integrating legacy systems
• Accelerate your growth by scaling these processes at your own pace
• Achieve a consolidated view to unify process oversight
• Institutionalize efficiency gains by monitoring and resolving issues remotely

Equip technicians with mobile and virtual reality tools that can enable intelligent coordination while minimizing costly engagements.

Custom-built Microsoft Dynamics 365 CRM:

An automotive company can also have a custom-built Dynamics 365 Automotive CRM. Talk to us at Beyond Key Systems to see how we can help build this custom solution for you.

All automotive companies have their own needs and workflows. Furthermore, no institution wants to change its process just to fit the limits of the software. It is so valuable to have an excellent customizable CRM for your team.

Few screenshots of our custom-built Dynamics 365 CRM for the Automotive Industry:

• You can Integrate the rest of the Microsoft 365 suite of tools with Dynamics CRM. Furthermore, you can access them all in the same Dynamics Instance on the Microsoft App Loader:

• Access all your custom entities and categories anytime you wish:

• Design different views based on specific entities and fields to access them directly in a single view:

• Create multiple dashboards, charts, and views based on custom entities and fields to analyze your organization’s performance:

Microsoft Dynamics 365 CRM for the Automotive Industry Conclusion:

Beyond Key understands the significant difference Dynamics 365 can make to an automotive company, streamlining their workflow and improving car sale management, test drive management, and other Inquiries. To learn more about what Beyond Key Systems can do for your automotive company, contact us today to help you set up a Dynamics 365 setup customized for your automotive company.

The post How Microsoft Dynamics 365 CRM benefits Automotive Industry appeared first on Beyond Key.