12th July 2023

by Stephanie Bruno

Exploring Microsoft Fabric and its Impact on Power BI

Exploring Microsoft Fabric and
its Impact on Power BI

Exploring Microsoft Fabric and its Impact on Power BI

Power BI has solidified its position as a top-tier leader in the Gartner Magic Quadrant for analytics and BI platforms through continually listening to users and enhancing and expanding features. With its robust capabilities, Power BI empowers users to effortlessly convert raw data into compelling visualizations and interactive reports. Building upon this success, Microsoft has now unveiled Fabric, an all-in-one SaaS analytics solution that seamlessly integrates data and analytics tools across the entire data lifecycle into a single, comprehensive platform. Additionally, Copilot in Power BI is an AI-powered assistant to help users create more effective and efficient reports and gain automated insights.

In this entry, we will explore what the release of Fabric means for organizations already using Power BI, how they can help expand users’ skills, and the impact on costs.

About Microsoft Fabric

Image credit: Microsoft

Microsoft Fabric introduces a groundbreaking approach to data analytics, designed to tackle the complexities of modern data landscapes. By leveraging the power of artificial intelligence (AI), Fabric enables businesses to gain actionable insights and make data-driven decisions with ease.

With the elimination of the reliance on data and analytics services from multiple suppliers, you can now execute data integration, data engineering, data storage, data warehousing, real-time analytics, data science, business intelligence and governance on a single unified, AI-powered, SaaS platform, that’s the beauty of Fabric.

I’m already using Power BI. Do I have to migrate to Fabric?

No. There is no migration required. Fabric capabilities are built into the Power BI experience, but if you choose to continue using Power BI exactly as you are today, you can do so with no impacts to cost or resources. Power BI remains the core tool for data analysis and visualization, empowering users with its capabilities. However, Fabric offers so many new features that we highly recommend trying them out while they are free in public preview.

How will Fabric make the Power BI experience better?

New features! While Power BI continues to thrive, Microsoft Fabric introduces some exciting new capabilities that will enhance and simplify your data analytics journey. Some of these are:

Feature #1: Direct Lake mode

By loading data into Fabric Lakehouse tables instead of importing into a Power BI dataset, you can take advantage of the speed of import with the convenience of DirectQuery’s real-time updates. This allows you to make changes to the data in the Lakehouse or Warehouse and instantly see them in Power BI reports, without needing to refresh, but at lightning-fast speeds.

Feature #2: Dataflows Gen2

You might be wondering how you get the data into the Lakehouse to utilize Direct Lake mode. You can use Power Query in a Dataflow (Gen2) in Fabric to load the data to a Lakehouse, just as you would traditionally load to a Power BI dataset. In fact, the new dataflows enable appending data in addition to overwriting every time it runs. But dataflows aren’t the only way to load data into the Lakehouse – there are now many more tools at your disposal, such as data pipelines and Spark jobs.

Feature #3: Robust Data Engineering

With the addition of data factory pipelines, Spark jobs, and notebooks to the toolbelt, it’s now possible for different personas to collaborate on ingesting and transforming data in a warehouse or lakehouse. With Power Query alone, for example, we could not delete a subset of data from a dataset. With these other tools at your disposal, you can make updates to data in the lakehouse that will be immediately reflected in the Power BI dataset(s) connected to it, taking advantage of Direct Lake mode. By combining different tools and allowing developers to use what they’re comfortable with, you can more quickly and easily get your data in the form it needs to be in.

Feature #4: SQL Endpoint for the Lakehouse

Now that we’ve covered the quantum leap forward with Direct Lake and you’re convinced that a Fabric Lakehouse is a beautiful place for your Power BI data model to live, you can also make use of the SQL endpoint that comes with the Lakehouse. The (read-only) SQL endpoint allows you to query the delta tables in the Lakehouse (which are essentially the tables in the semantic model) with T-SQL. Many analysts are more comfortable with SQL than with DAX and this gives them the freedom to write exploratory queries against the data in addition to creating visuals or Excel pivot tables. And for those who aren’t comfortable with SQL or DAX, there is a visual query builder to make it even easier.

Feature #5: Data Modeling on the Web

For those who have been wishing for Power BI Desktop for the Mac, this is the answer. It’s now possible to develop complete semantic models and reports on the web without requiring a Desktop. This does not mean that Power BI Desktop will stop receiving updates and improvements. In fact, at Microsoft Build we were given a glimpse of features coming to Desktop soon including the ability to create calculation groups, an integrated DAX query view that provides measure dependency lineage, and Copilot for DAX.

Feature #6: Copilot for Power BI

With Copilot, Power BI users can streamline the report creation process significantly. Copilot’s intelligent suggestions and automated insights enable users to quickly explore data, identify key trends, and create compelling visualizations. Copilot’s AI capabilities help users explore advanced visualization techniques and suggest appropriate chart types, layouts, and color schemes convey insights in the most impactful way. Its AI-powered features extend beyond report creation. It can also assist users in automating data analysis tasks. By leveraging Copilot, users can perform complex calculations, apply statistical functions, and identify outliers or patterns within their data. By incorporating Copilot into your workflow, users can enhance their ability to analyze and present data effectively, saving valuable time and resources.

Feature #7: Git Integration

With Microsoft Fabric, Power BI users can integrate their development workflows with version control systems, such as Git. This enables efficient collaboration among team members and facilitates seamless integration with CI/CD pipelines. By utilizing the version control capabilities, users can track changes, manage branches, and roll back to previous versions, ensuring the integrity and stability of their Power BI assets.

Feature #8: Data Activator

Without resulting in action, reports and dashboards are just something to look at and admire. Data insights should make it clear what actions need to be taken to improve outcomes and with Data Activator, Fabric is making it even easier to integrate actions with insights. Data Activator provides a no-code method to find patterns or build triggers on your data and set in motion actions through notifications, alerts, or Power Automate Flows, for example.

What will Fabric cost? How does licensing work?

Microsoft Fabric Capacities (F SKUs) offer developers the ability to create and share Fabric content across workloads through the familiar interface of Power BI Workspaces. With various resource tiers for memory and computing power, you can choose the best SKU for your application. F SKUs offer flexible usage without any time commitment.

For customers accustomed to Power BI pricing, Fabric pricing will look very familiar. If you want to use Fabric features, you’ll need to purchase an F SKU (see table below) either in addition to a Power BI SKU or instead of a Power BI SKU. In the table below, an F64 is equivalent to a P1, and this is the level provided in the current Fabric trials.

Additionally, you’ll still need Power BI pro licenses (or Premium Per User) for developers who will be publishing or sharing Power BI content (but not Fabric workloads).

There are some differences between F SKUs and P SKUs, including:

- F SKUs are currently available in the Azure portal in a pay-as-you-go model. A reserved instance is similar to the equivalent P SKUs.

- F SKUs include Power BI workloads, but not vice versa.

- A SKUs (embedded) are still available, but only for Power BI.

- OneLake storage will need to be purchased. An example storage rate is provided as $0.023 per GB per month in US West 2.

Determining the best capacity for your scenario can be a challenge, and a pricing calculator will be coming soon. There are a variety of combinations of licensing that are available for different situations. For example, a smaller organization might find that a combination of PPU licenses and a lower F capacity may be the best fit, while a larger organization may need more robust F capacities along with Power BI Pro licenses.

Conclusion

Microsoft Fabric is the biggest leap forward for Power BI since it was first released. Reach out to us at iLink Digital for a free consultation and discover how our expertise can transform your analytics strategy by incorporating Fabric.

Stephanie Bruno

Business Intelligence Architect

About Author

With 10+ years of experience, Stephanie drives efficiencies by optimizing tabular models, migrating AAS cubes to Power BI datasets, and implementing CI/CD processes. She collaborates with cross-functional teams, presents actionable insights, and designs data models for key stakeholders. Her expertise and passion for business intelligence contribute to iLink Systems’ success in data-driven decision-making.

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Microsoft Fabric: Unleashing the Power of Next-generation Data Analytics with AI Capabilities

In today’s era of advanced technologies and increasing data volumes, businesses confront significant challenges in managing and extracting insights from their data. Microsoft Fabric emerges as a powerful solution, providing data analytics and storage capabilities that empower organizations to unlock the true potential of their data. In this blog post, we will delve into the world of Microsoft Fabric, understanding its core features and benefits.

What is Microsoft Fabric?

Fabric is Microsoft’s new, comprehensive Software-as-a-Service (SaaS) analytics platform covering everything from data ingestion to data science, real-time analytics, and business intelligence. Fabric provides comprehensive services in one location, including data lake, data engineering, and data integration.

The All-in-One Analytics Platform

Microsoft Fabric is a unified platform that combines Azure Data Factory, Azure Synapse Analytics, and Power BI into a single location. Gone are the days of setting up and maintaining resources individually, as Fabric streamlines the process, allowing users to set up an end-to-end analytics solution swiftly.

In the realm of data analytics, Microsoft Fabric brings forth a remarkable integration that brings numerous benefits to the table. Let’s explore the advantages this integration offers:

Wide Spectrum of Deeply Integrated Analytics

Fabric offers a comprehensive range of deeply integrated analytics capabilities. Covering data ingestion, data science, real-time analytics, and business intelligence, Fabric simplifies and enhances your analytics journey.

Shared Experiences: Recognizable and Easy to Learn

Step into a world of shared experiences that transcend boundaries. Microsoft Fabric strives to create shared experiences that are both recognizable and easy to grasp. With consistent design patterns and intuitive workflows, users can navigate the platform seamlessly.

Accessibility and Reusability

Unlock the power of accessible and reusable assets within Microsoft Fabric. Developers rejoice as Microsoft Fabric offers a convenient way to access and reuse assets. By centralizing resources within the platform, developers can effortlessly leverage existing components, saving time and effort.

Preserving Data Integrity with Unified Data Lake

Imagine a data ecosystem where you can keep your data in its original location while leveraging your preferred analytics tools. Microsoft Fabric’s unified data lake makes it a reality. No more data duplication or complex migrations, just seamless integration and data integrity.

Centralized Administration and Governance

Say goodbye to fragmented governance. Microsoft Fabric provides centralized administration and governance across all experiences. Seamlessly manage access, permissions, and security protocols, ensuring a consistent and secure analytics environment.

Components of Microsoft Fabric

Microsoft Fabric comprises a range of industry-leading experiences tailored to specific personas and tasks. Let’s explore the key components of Fabric:

Synapse Data Engineering: Comprising “Lakehouse,” Notebooks, and Spark Job Definitions, this component focuses on data engineering and processing within Fabric.
Data Factory (Data Integration): Seamlessly creating data pipelines, Data Factory allows users to integrate and transform data using the power of Fabric.
OneLake: As the backbone of Microsoft Fabric, OneLake acts as a centralized data lake technology. Handling structured and unstructured data under one roof, OneLake simplifies data management and storage.
Synapse Data Science: Fabric provides comprehensive data science capabilities, empowering users to generate and deploy models effectively. Synapse Data Science combines Synapse ML skills and Azure Machine Learning for enhanced productivity.
Synapse Data Warehouse: An evolution of the Dedicated SQL pool, Synapse Data Warehouse offers scalable and high-performance data storage within Fabric.
Real-Time Analytics: With an evolution of Azure Data Explorer, Fabric enables real-time analytics, including “Event streams,” a tool like Azure Stream Analytics’ no-code editor.
Power BI: As a leading global Business Intelligence platform, Power BI provides intuitive access to all data within Fabric, empowering business owners to make data-driven decisions effortlessly.
Purview: To ensure efficient data governance and management, Fabric incorporates Purview. Users can explore and search for artifacts, and the Data Catalogue of Purview can scan all Microsoft Fabric artifacts, expanding beyond Power BI.

The Lakehouse Design

Microsoft Fabric adopts the Data Lakehouse design, taking it to new heights with its ambitious Mesh-like approach. The introduction of “Domains” and “Workspaces” within Fabric, enabled by OneLake, allows for structured data organization and collaboration. This unique feature opens exciting possibilities for customers and paves the way for a more streamlined and efficient data management process.

Reach Us and Avoid Missing Out on the Data Analytics Revolution!

Don’t miss out on the data analytics revolution! Reach out to us at iLink Digital and unlock the magic of Microsoft Fabric.

Contact us for a free consultation and discover how our expertise can transform your analytics strategy. Don’t wait, seize this opportunity to stay ahead of the competition.

Venkataramana Besthavemula

Principal Architect – Data BU

About Author

With over 20 years of experience, Venkat is an accomplished senior professional who excels in managing teams and driving success in Data, Analytics, Cloud Computing, and Digital Transformation. He plays a pivotal role in shaping strategy and architecture, transforming ad-hoc assessments into scalable software solutions. His expertise lies in enhancing the effectiveness and usability of analytics platforms by collaborating closely with stakeholders and strategic partners.

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Streamlining Your Migration from Crystal Reports to Power BI

While Crystal Reports has served many well for traditional reporting, Power BI offers an innovative approach to business intelligence, fostering deeper insights and encouraging data-driven decisions. However, the transitioning process can be daunting. With the right approach, this migration can result in minimized downtime ensuring data integrity to help you fully leverage Power BI capabilities without disturbing your ongoing business operations.

iLink specializes in offering migration services that are tailored to your organization’s specific needs. We also have hands-on experience and have assisted several enterprises in migrating from Qlik, Cognos, and other systems. This is the third blog in our migration series where we compare both BI platforms and share best practices to make your transition smoother and more efficient.

Read our other related blogs:

Feature Comparison: Crystal Reports Vs. Power BI

Feature	Crystal Reports	Power BI
Data Source Integration	Excellent with a wide variety of data sources	Excellent, especially with Microsoft-related data sources
Ease of Use	Requires more technical knowledge to operate effectively	User-friendly with drag-and-drop capabilities
Report Generation	More suited to static, pixel-perfect reports	Focused on interactive, dynamic reports
Visualization Capabilities	Basic to moderate visualizations	Rich and interactive visualizations
Collaboration	Limited, more individually focused	Excellent, with integrated sharing and collaboration in Office 365
Scalability	Can become complex with large data volumes	Built for handling large datasets and scalable across an organization
Real-Time Reporting	Not primarily designed for real-time data	Strong capabilities for real-time reporting
Pricing	High upfront costs, lower maintenance cost	Monthly or annual subscription-based, cost-effective for large teams
Updates and Innovation	Less frequent updates	Constantly updated with new features

Best Migration Practices: From Crystal Reports to Power BI

Here are the best tips for the smoothest transition from Crystal Reports to Power BI:

Step #1: Assess Your Current Crystal Reports Environment

Conduct a comprehensive assessment of your existing Crystal Reports environment. Identify the reports, data sources, and dependencies that need to be migrated. Evaluate the complexity and customization level of each report to prioritize the migration process.

Step #2: Plan and Prioritize

Develop a migration plan that outlines the scope, timeline, and goals of the migration project. Prioritize reports based on their criticality and business impact. Create a roadmap that defines the sequence of migrating reports, ensuring a logical and phased approach to the migration process.

Step #3: Data Analysis and Conversion

Analyze the data sources used in Crystal Reports and determine how they can be migrated to Power BI. Identify any data transformation or restructuring requirements to align with Power BI’s data model. Develop a strategy for data conversion and ensure data integrity during the migration process.

Step #4: Report Redesign and Visualization

Redesign reports to leverage the advanced visualization capabilities of Power BI. Consider the differences in design principles between Crystal Reports and Power BI and optimize the reports for enhanced interactivity and user experience. Utilize Power BI’s extensive library of visualizations to create compelling and insightful dashboards and reports.

Step #5: User Training and Change Management:

Provide comprehensive training to users on Power BI’s features, functionalities, and report creation. Help users understand the transition from Crystal Reports to Power BI and emphasize the benefits and advantages of the new platform. Offer ongoing support and encourage user feedback to ensure a smooth adoption process.

Step #6: Test and Validate

Thoroughly test the migrated reports and ensure they align with the expected outcomes. Validate the accuracy and integrity of data, including calculations and aggregations, to guarantee that the reports in Power BI produce the same results as in Crystal Reports.

Step #7: Collaborate with Stakeholders:

Involve key stakeholders throughout the migration process. Communicate the benefits of transitioning to Power BI and address any concerns or questions they may have. Seek feedback from stakeholders during the migration and post-migration phases to continuously improve the solution and meet their requirements.

Step #8: Monitor Performance and Optimization:

Continuously monitor the performance of Power BI reports and dashboards after migration. Optimize the reports and data models to ensure optimal performance and responsiveness. Regularly review and refine the solution to align with changing business needs and evolving data analytics requirements.

Step #9: Leverage Power BI Community and Resources

Take advantage of the Power BI community, forums, and resources available online. Engage with Power BI experts, participate in user groups, and explore the vast array of tutorials, blogs, and documentation provided by Microsoft and the Power BI community.

Step #10: Evaluate and Fine-Tune:

Conduct a post-migration evaluation to assess the success of the migration project. Identify any areas for improvement or further optimization. Collect feedback from users and stakeholders to enhance the overall migration experience and drive continuous improvement.

iLink Digital: Your Seamless Crystal Reports to Power BI Transition Partner!

The transfer of Crystal Reports to Power BI by iLink Digital is based on a thorough grasp of both platforms. We are aware of the unique features and capabilities provided by Crystal Reports and Power BI, and we make use of this understanding to support an easy and effective migration process. At iLink, we make sure that your transition is carried out seamlessly, minimizing disturbance to your operations and maximizing the value of your data by utilizing industry best practices and tried-and-true procedures.

Learn more here!

Streamline Your Business with ServiceNow Bonding: Simplifying Integrations

30th June 2023

by iLink Digital

Streamline Your Business with ServiceNow Bonding: Simplifying Integrations

In today’s interconnected business landscape, seamless data exchange between systems is crucial for optimizing operations and driving efficiency. ServiceNow Bonding, a B2B software integration methodology, offers a solution by automating data exchange between two systems.

Leveraging ServiceNow APIs, organizations can effortlessly connect with the ServiceNow platform, unlock its vast capabilities, and streamline their business processes. In this blog post, we explore the benefits, common use cases, and considerations of ServiceNow Bonding.

ServiceNow APIs: Powering Integration Efforts

ServiceNow provides a range of SOAP and REST APIs that are active by default, allowing organizations to interact with various functionalities of the platform. With a comprehensive list of out-of-the-box APIs readily available, businesses can leverage pre-built integrations with ease. These APIs enable seamless data transfer, process automation, and interaction with external systems.

Custom APIs for Unique Use Cases

To address specific business needs or integration requirements, ServiceNow offers the flexibility to build custom APIs, also known as scripted APIs. Organizations can develop tailored solutions to streamline operations, automate processes, and integrate with products or services that support APIs. This empowers businesses to optimize their workflows and enhance productivity.

Common Use Cases of ServiceNow Bonding:

Integration with API-Supported Products: Seamlessly connect ServiceNow with other applications or tools that support APIs, enabling data exchange and interoperability.

Incident Information Exchange between ServiceNow Instances: Keep incident data synchronized between two instances of ServiceNow, ensuring consistency and real-time updates across systems.

Pre-Requisites and Pros of ServiceNow Bonding: To make use of ServiceNow Bonding, organizations need to have the ServiceNow Integration Hub Plugin installed. Once implemented, businesses can benefit from the following advantages:

Easy Configuration: ServiceNow Bonding is straightforward to set up, allowing organizations to quickly establish integrations.
Greater Accuracy: Real-time or near-real-time data exchange ensures accurate and up-to-date information between systems.
Real-time/Near Real-time Data Exchange and Sync: Facilitates instant data transfer and synchronization, eliminating delays and improving efficiency.
Low Ongoing Operation Cost: ServiceNow’s out-of-the-box APIs and flexibility to develop custom APIs minimize ongoing operational costs.

Considerations and Limitations:

While ServiceNow Bonding offers a range of benefits, it may not be scalable for complex or multi-system integrations. Organizations requiring intricate integration scenarios may face challenges with customization and management. Implementing, managing, and standardizing custom APIs may also require upfront effort and planning.

Conclusion:

ServiceNow Bonding, powered by ServiceNow APIs, enables organizations to streamline their business operations and improve efficiency through seamless data exchange. With easy configuration, greater accuracy, and real-time/near real-time data synchronization, ServiceNow Bonding simplifies integrations, reduces operational costs, and enhances productivity. While it may have limitations for complex integrations, the benefits of ServiceNow Bonding make it a valuable tool for organizations across various industries.

Partnering with iLink Digital:

For successful ServiceNow integrations, consider partnering with iLink Digital. With their expertise in ServiceNow implementations and customization, iLink Digital ensures seamless integration solutions tailored to your business needs. Trust iLink Digital to maximize the value of your ServiceNow investment, streamline your operations, and drive business success.

Contact iLink Digital today to simplify your integrations and optimize your workflows.

28th June 2023

by iLink Digital

iLink Earns Three Data & AI Microsoft Azure Specializations

Validating our deep knowledge, extensive experience and proven expertise

Bothell, WA – June 28th, 2023 –

iLink Digital (iLink) announced it has earned all three specializations related to Data & AI: AI & Machine Learning on Microsoft Azure, Analytics on Microsoft Azure, and Data Warehouse Migration to Microsoft Azure.

These specializations are a validation of a solution partner’s deep knowledge, extensive experience and proven expertise in enabling customer adoption of AI and implementing Azure AI solutions, planning and deploying cloud scale analytics solutions, and analyzing and migrating data to cloud-based data warehouses. iLink received these specializations after meeting stringent criteria around customer success and staff skilling, as well as passing a third-party audit of its planning and deployment practices.

The AI and Machine Learning on Microsoft Azure specialization validates our capability in enabling customer adoption of AI and implementing Azure AI solutions for machine learning, cognitive search, or cognitive services.

The Analytics on Microsoft Azure specialization validates our deep expertise in planning and deploying Azure cloud analytics services, enabling customers to use the full breadth of their data assets to help build transformative and secure analytical solutions at enterprise scale.

The Data Warehouse Migration to Microsoft Azure specialization validates our expertise in analyzing existing workloads, generating schema models, and performing extract, transform, and load (ETL) operations to migrate data to cloud-based data warehouses.

“We are super thrilled to be recognized by Microsoft with the AI & Machine Learning, Analytics and Data Warehouse Migration specializations” stated Sakthi Kannan, CEO & GM – Data & AI Business, iLink. “These specializations are yet another milestone demonstrating our expertise in Data & AI to enable our customers unlock the value of data through insights and AI, achieve data-driven business transformation and foster a data culture. iLink has always strived to provide cloud scale analytics & innovative AI solutions to our customers, and these specializations will help us advance our partnership with Microsoft to the next level, with focus around Microsoft Fabric, Azure Databricks and Azure OpenAI.”

As a longstanding Microsoft Partner, iLink works closely with a Partner Development manager who also shares in the excitement. “I am thrilled iLink has achieved the Data & AI Specializations on Analytics on Microsoft Azure, AI & Machine Learning on Microsoft Azure, and Data Warehouse Migration. These accomplishments highlight their world-class expertise in leveraging the power of Microsoft Azure Data & AI technologies to drive growth for their customers and beyond.” – John Yurewicz, Partner Development Manager, Microsoft

About iLink Digital

iLink Digital is a digital transformation corporation that aids organizations in utilizing technology to enhance commercial outcomes. iLink Digital offers end-to-end solutions in cloud computing, enterprise mobility, data analytics, and artificial intelligence and has over 20 years of experience in the IT sector. As an ISO 9001 and CMMI L3 accredited company, iLink consistently delivers on the promise of technology and human innovation, successfully catering to clients with over 2000 consultants worldwide.

A New Way of Building Attended Automations with UiPath Apps, UiPath Forms & Triggers, and FromIo

27th June 2023

by iLink Digital

A New Way of Building Attended Automations with UiPath Apps, UiPath Forms & Triggers, and FromIo

“Building attended automation is crucial for businesses seeking to enhance operational efficiency, streamline workflows, and improve the overall user experience. UiPath Apps, UiPath Forms & Triggers, and FromIo enable businesses to build powerful attended automations that streamline workflows, enhance user experience, and improve productivity.”

Attended automation combines human interaction with automation, allowing employees to work alongside technology and leverage their expertise. Whether it’s gathering user inputs or validating information, attended automation empowers organizations to achieve efficient and intelligent automation. It also allows for making complex decisions while retaining control and promoting collaboration within the organization.

UiPath, a leading RPA software provider, offers a comprehensive suite of tools and features to build attended automations. This article explores an exciting approach that combines UiPath Apps, UiPath Forms & Triggers, and FromIo to create efficiently attended automation.

Understanding UiPath Apps: UiPath Apps is a powerful platform that allows non-coders to design and deploy web and mobile applications effortlessly. Its user-friendly interface empowers business users to create customized applications for task automation and data collection. These applications can be accessed from various devices, making them convenient for both business owners and their clients.

Leveraging UiPath Forms & Triggers: UiPath Forms & Triggers provides a straightforward way to design and deploy user-friendly forms within UiPath Apps. This feature enables users to gather information, validate inputs, and trigger specific actions based on the submitted form data. UiPath Forms & Triggers integrates data sources and APIs, enabling the automation of complex business processes seamlessly.

Introducing FromIo: FromIo is an innovative technology that enhances the attended automation experience. Users can interact with UiPath automations through preferred channels like chat platforms, voice assistants, and email. FromIo acts as a bridge between the user and the automation, allowing for natural language interactions and real-time feedback.

By combining UiPath Apps, UiPath Forms & Triggers, and FromIo, organizations can create powerful attended automations that streamline user interactions and boost productivity.

A Step-by-Step Guide to Building Attended Automations

Step #1: Determine the repetitive tasks that can be automated to enhance user experience and efficiency.

Step #2: Use UiPath Apps to create a custom application interface that aligns with the process requirements. Add necessary features, such as forms, buttons, and data validation, using UiPath Forms & Triggers.

Step #3: Integrate FromIo into your UiPath App to enable user interactions through chat platforms or voice assistants. Define conversational flows and responses to provide a seamless experience.

Step #4: Utilize UiPath’s extensive library of activities and connectors to integrate the automation with relevant backend systems, databases, or APIs.

Step#5: Deploy the attended automation in your organization and thoroughly test its functionality. Gather feedback from users and iterate to improve the user experience.

Benefits of building Attended Automation using UiPath Tools

Combining UiPath Apps, UiPath Forms & Triggers, and FromIo offers several benefits:

Enhanced user experience: The custom-built UiPath Apps interface and conversational interactions provided by FromIo create a user-friendly experience, reducing the learning curve and increasing user adoption.
Streamlined data collection: UiPath Forms & Triggers simplifies the data collection process by presenting intuitive forms to users. FromIo further enhances this by allowing users to provide inputs through natural language.
Improved productivity: Attended automations built with this approach automate repetitive tasks, freeing up employees’ time to focus on more value-added activities. This improves overall productivity within the organization.
Seamless integration: UiPath’s extensive ecosystem of connectors enables easy integration with existing

Partnering with iLink for Attended Automations

As a UiPath Partner, iLink leverages its experience and knowledge to help businesses build powerful attended automations using UiPath Apps, UiPath Forms & Triggers, and FromIo. With expert guidance, your business can unlock the full potential of these tools, creating tailored automations that meet your specific business needs.

Explore our Service Portfolio!

Exploring Microsoft Fabric and its Impact on Power BI

About Microsoft Fabric

I’m already using Power BI. Do I have to migrate to Fabric?

How will Fabric make the Power BI experience better?

Feature #1: Direct Lake mode

Feature #2: Dataflows Gen2

Feature #3: Robust Data Engineering

Feature #4: SQL Endpoint for the Lakehouse

Feature #5: Data Modeling on the Web

Feature #6: Copilot for Power BI

Feature #7: Git Integration

Feature #8: Data Activator

What will Fabric cost? How does licensing work?

Conclusion

Stephanie Bruno

About Author

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Related Blog Posts

Microsoft Fabric: Unleashing the Power of Next-generation Data Analytics with AI Capabilities

What is Microsoft Fabric?

The All-in-One Analytics Platform

Components of Microsoft Fabric

The Lakehouse Design

Reach Us and Avoid Missing Out on the Data Analytics Revolution!

Venkataramana Besthavemula

About Author

SHARE

Related Blog Posts

Read our other related blogs:

Feature Comparison: Crystal Reports Vs. Power BI

Best Migration Practices: From Crystal Reports to Power BI

Step #1: Assess Your Current Crystal Reports Environment

Step #2: Plan and Prioritize

Step #3: Data Analysis and Conversion

Step #4: Report Redesign and Visualization

Step #5: User Training and Change Management:

Step #6: Test and Validate

Step #7: Collaborate with Stakeholders:

Step #8: Monitor Performance and Optimization:

Step #9: Leverage Power BI Community and Resources

Step #10: Evaluate and Fine-Tune:

iLink Digital: Your Seamless Crystal Reports to Power BI Transition Partner!

ServiceNow APIs: Powering Integration Efforts

Custom APIs for Unique Use Cases

Common Use Cases of ServiceNow Bonding:

Considerations and Limitations:

Conclusion:

Partnering with iLink Digital:

Validating our deep knowledge, extensive experience and proven expertise

About iLink Digital

A Step-by-Step Guide to Building Attended Automations

Benefits of building Attended Automation using UiPath Tools

Partnering with iLink for Attended Automations

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