Supercharge Your Application with Embedded Analytics: A Comprehensive Guide

In today's digital landscape, it is imperative to recognize that every role plays a part in handling data. Whether you are a developer or an executive, leveraging analytical tools empowers your customers to make well-informed decisions. Regardless of the objective of your application, instilling confidence in data-driven decision-making is of utmost importance. However, the reality is that only 22% of users currently have access to analytical insights within their business applications. This emphasizes the need to prioritize putting analytics directly in the hands of users.

The Power of Embedded Analytics

However, having access to analytics does not automatically guarantee valuable insights. Often, the absence of contextual tools hinders users from effectively utilizing these insights, particularly in tasks that require both speed and accuracy. Interestingly, there is a significant disparity in usage between embedded analytics and non-embedded solutions. Surprisingly, 43% of users regularly employ embedded analytics, which is double the adoption rate of traditional analytics. This trend clearly indicates that the more accessible analytics are within your application, the more likely customers are to embrace them.

The Challenges of Building In-House Analytics

Although developing an in-house analytics solution may be enticing for some organizations, it often comes with numerous challenges. First and foremost is the significant investment of time and resources required to build and maintain a robust analytics system. It is not uncommon for these projects to exceed their initial timelines and budgets due to unforeseen complexities.

Second, keeping up with the ever-evolving landscape of data technologies can be demanding. As new tools and techniques emerge, your team must continually update their skills and knowledge to stay ahead. This constant learning curve can divert attention from core business objectives.

Third, integrating an in-house analytics system with existing infrastructures and systems can be highly complex, potentially leading to data silos or misunderstandings.

Lastly, ensuring compliance with data regulations and standards poses another significant challenge. Organizations must meticulously ensure that their in-house analytics solutions adhere to laws such as GDPR, CCPA, and others, which can be a formidable task.

While these challenges do not necessarily warrant dismissing the idea of in-house analytics entirely, they are crucial factors for any organization considering this path.

The Evolution of In-App Analytics and the Business Response

There has been a fundamental shift in the way data is consumed. Static pictures and charts that offer a mere snapshot of a single moment are no longer enough. Instead, analytics, interactive visualizations, and real-time reports have become increasingly necessary to transform the vast amount of data into captivating narratives.

According to Forrester, embedded business intelligence (BI) will become the new norm within three to five years, driven by the growing complexity of operations and business. This presents a significant opportunity for business applications. The more an application can seamlessly guide users through decision-making by weaving together massive datasets to create meaningful insights, the more likely it is to be adopted and used.

As a software vendor, you require a combination of robust analytics and visualization capabilities to fulfill the promise of transforming data into actionable insights. However, the question remains: how will you provide in-app analytics to your customers? Will you invest in building a custom in-house solution or opt for an off-the-shelf embedded analytics solution?

From Cost Center to Profit Center with Embedded Analytics

In the past, businesses may have viewed reporting a small but necessary expense as an afterthought. However, with the growth of data volumes, sources, and reporting complexity, the potential overhead has soared. This leaves many businesses contemplating the best way to enhance their analytics and visualization capabilities. Should they opt for a custom-built platform tailored to their unique needs, or would an off-the-shelf solution allow them to focus on what truly matters?

Real-time, self-service, and easily explorable visualizations offer significant competitive advantages. However, developing a proprietary set of visuals to represent data can strain the time and resources of software vendors and developers. Both technical and business decision-makers are well aware that building analytics from scratch comes with formidable challenges.

Mature, Embedded Analytics and BI Solutions

Off-the-shelf, mature embedded analytics and business intelligence (BI) solutions are readily available in the market. These solutions offer your business the opportunity to leverage the dedicated research and development, robust infrastructure, and specialized expertise of BI and data vendors. By adopting these solutions, you can tap into a wealth of knowledge and experience that might otherwise require significant investment and effort to develop in-house.

When your in-house capabilities lack the core competency in BI and analytics, purchasing off-the-shelf solutions becomes an obvious choice. This approach eliminates the burden of development, allowing your business to redirect valuable resources towards capturing additional value for you, your developers, and your customers. By focusing on value creation instead of reinventing the wheel, you can expedite your time-to-market and deliver innovative solutions to meet the evolving needs of your users.

With the help of embedded analytics and BI solutions, your business can gain actionable insights, make data-driven decisions, and drive growth with confidence. These tools empower you to unlock the full potential of your data, enabling you to uncover hidden patterns, identify trends, and extract valuable information that can steer your business towards success.

In summary, the availability of off-the-shelf embedded analytics and BI solutions presents a valuable opportunity for businesses to leverage external expertise and infrastructure. By embracing these solutions, you can accelerate your journey towards data-driven decision-making, enhance your competitive advantage, and uncover new avenues for growth and innovation.

Leverage Innovation to Grow Your Business and Go to Market Faster

With the acquisition of embedded analytics, you can expedite your time to market, distinguish yourself in the competitive landscape, and broaden your revenue streams. Accelerating time to market, gaining a competitive edge, and expanding revenue sources are all achievable objectives through the utilization of embedded analytics.

Expand Core Competencies and Clear the Way for Innovation

By utilizing an embedded analytics solution, developers can liberate their time to focus on value creation, foster innovation, and collaborate within a thriving community. Rather than merely generating reports, they can deliver substantial value and reap the benefits of others' dedicated investments in business intelligence. Moreover, by harnessing the power of a supportive community, you can enhance product awareness and develop expertise in your field.

Turn Critical Data into Meaningful Insight

By incorporating an embedded analytics solution, you not only impress customers but also empower them to make confident, data-driven decisions. This, in turn, greatly enhances their overall experience, streamlining their lives. With embedded analytics, your application becomes a powerful tool that not only provides valuable insights but also drives increased usage and engagement. The key to unlocking these benefits lies in seamlessly integrating embedded analytics, allowing users to effortlessly access and leverage data-driven insights within the familiar context of your application.

Embedded Analytics for Your Business, Your Developers, and Your Customers

Microsoft's Power BI Embedded is a leading player in the realm of embedded analytics. It is purpose-built to provide your application with custom, captivating, and user-friendly analytics and visualizations. By granting users the ability to make data-driven decisions securely and at scale, Microsoft empowers your business, developers, and customers.

To discover the value that Power BI Embedded and Microsoft's approach to data exploration can bring to your organization, visit https://aka.ms/PBIE. If you're eager to explore the synergies within the Azure ecosystem and Microsoft stack, be sure to check out the Azure products page.

Advantages of Microsoft Power BI for Embedded Analytics

Microsoft Power BI stands out as a premier tool in the domain of business intelligence due to its vast array of benefits. Firstly, it facilitates the creation of rich, interactive reports with self-service business intelligence capabilities. Users can easily explore data and generate insights, with the ability to drill down into the granular details.

Secondly, it offers robust data connectivity. Power BI can connect to a wide range of data sources, from simple Excel sheets to complex cloud-based databases, making it a versatile tool for organizations of all sizes.

Additionally, it features a user-friendly interface, promoting ease of use even for non-technical users. This accessibility aids in democratizing data across organizations, fostering a data-driven culture.

Power BI also supports real-time analytics, enabling businesses to monitor their operations closely and respond promptly to any changes. Lastly, being part of the Microsoft ecosystem, it seamlessly integrates with other Microsoft products, thereby enhancing productivity and collaboration amongst teams. For organizations aiming to transform data into actionable insights, embracing Microsoft Power BI could be a significant step forward.

References

"Power BI | Microsoft Power BI." Microsoft. https://powerbi.microsoft.com/en-us/
"Azure products." Microsoft Azure. https://azure.microsoft.com/en-us/services/
"Data culture: Democratizing data and AI at Microsoft." Microsoft. https://www.microsoft.com/en-us/microsoft-365/blog/2019/03/14/data-culture-democratizing-data-ai-microsoft/
"Why Choose Power BI for Your Business?" Datapine, https://www.datapine.com/blog/why-choose-power-bi-for-your-business/

Seamlessly Transitioning Your SSIS Projects to Azure Data Factory

Migrating SSIS to Azure Data Factory: A Step-by-Step Guide ===

If you've been using SQL Server Integration Services (SSIS) for your data integration needs but are now looking to take advantage of the scalability and flexibility of the cloud, then moving your SSIS projects to Microsoft Azure Data Factory is a great option. Azure Data Factory allows you to easily migrate and manage your SSIS packages in the cloud, providing a seamless transition from on-premises to cloud-based data integration. In this article, we'll guide you through the step-by-step process of migrating your SSIS projects to Azure Data Factory.

Seamlessly Transitioning Your SSIS Projects to Azure Data Factory

Step 1: Assess Your SSIS Projects

Before you begin the migration process, assessing your current SSIS projects and determining which packages and components need to be migrated is important. Take inventory of your existing SSIS packages, their dependencies, and any custom components or scripts that may need to be updated or rewritten for Azure Data Factory. This initial assessment will help you plan and prioritize your migration efforts.

Step 2: Prepare Your Azure Environment

Next, you'll need to set up your Azure environment and provision the necessary resources for Azure Data Factory. This includes creating an Azure Data Factory instance, creating an Azure SQL Database or Data Warehouse for storing metadata and logging, and setting up any necessary Azure Storage accounts for data storage. If you integrate with them, you'll also need to configure secure access to your on-premises SQL Server instances.

Step 3: Convert SSIS Packages to Azure Data Factory

Once your Azure environment is set up, it's time to convert your SSIS packages to Azure Data Factory. Azure Data Factory provides a built-in feature called "SSIS Package Execution" that allows you to run SSIS packages as activities within a Data Factory pipeline. You can use the Azure Data Factory UI, PowerShell cmdlets, or Azure Data Factory REST API to convert your SSIS packages. During conversion, you may need to adjust your packages, such as updating connection strings or modifying package configurations to work in the Azure environment. In conclusion, migrating your SSIS projects to Azure Data Factory offers a seamless transition from on-premises to cloud-based data integration. By following this step-by-step guide, you can assess your current SSIS projects, prepare your Azure environment, and convert your SSIS packages to Azure Data Factory. This migration will bring numerous benefits, including increased scalability, flexibility, and reduced maintenance efforts. So, don't hesitate to leverage the power of Azure Data Factory and take your data integration to the next level!

Boost Your Biz IQ: Black Friday FB Posts for BI!

Black Friday is here, and it's time to gear up your business for this shopping extravaganza! With millions of potential customers browsing through Facebook, it's crucial to master the art of Black Friday marketing on this platform. This article will dive into some tips and tricks to boost your business IQ and make the most of your Facebook posts for Business Intelligence (BI) during this exciting shopping season.

Black Friday Bonanza: Unleash your Business's Potential with Facebook Posts!

Black Friday is the perfect opportunity to unleash your business's potential and capture the attention of eager shoppers. Facebook provides an excellent platform for reaching a vast audience, and with the right posts, you can drive traffic and increase sales. Start by creating eye-catching visuals - whether it's a striking image or an engaging video showcasing your Black Friday deals. Remember to include a clear call-to-action that directs customers to your website or physical store. Using Facebook's advertising tools, you can also target specific demographics and interests to ensure the right people see your posts. To maximize the effectiveness of your Black Friday Facebook posts, make sure to create a sense of urgency and exclusivity. Offer limited-time discounts or special deals exclusively for your Facebook followers. Encourage them to share your posts with their friends and family, creating a viral effect that can significantly boost your business's visibility. Moreover, consider running contests or giveaways, encouraging users to engage with your posts and share them for a chance to win exciting prizes. This not only drives engagement but also increases your brand's reach organically.

Master the Art of Black Friday Marketing on Facebook for Business Intelligence!

As a savvy business owner, you understand the importance of leveraging data for business intelligence. During Black Friday, Facebook can be an invaluable tool for gathering valuable insights. Track the performance of your posts using Facebook's analytics tools to understand which posts resonate the most with your audience. Analyze metrics such as reach, engagement, and click-through rates to identify what works best for your business. This information will help you fine-tune your Black Friday marketing strategy and make data-driven decisions for future campaigns. Additionally, monitor the comments and messages on your Facebook posts closely. This is an opportunity to engage with your customers and gain valuable feedback. Respond to inquiries promptly, address any concerns, and thank your customers for their support. This interaction builds trust, strengthens customer relationships, and provides you with first-hand insights into their preferences and needs. Use this feedback to tailor your marketing approach and product offerings, ensuring continued success beyond Black Friday. With these tips, you're ready to dive into Black Friday marketing on Facebook and boost your business IQ. Remember to be creative, cheerful, and engaging with your posts, capturing your audience's attention. Leverage the power of data to refine your strategy and create a memorable shopping experience for your customers. Prepare for a Black Friday bonanza that will take your business to new heights!

Boost Your Biz IQ: Black Friday FB Posts for BI!

Black Friday Bonanza: Unleash your Business's Potential with Facebook Posts!

Master the Art of Black Friday Marketing on Facebook for Business Intelligence!

Exploring the Pros and Cons of Microsoft Azure Data Lake

Introduction:

In today's data-driven world, organizations constantly seek more efficient ways to store, process, and analyze their data. Microsoft Azure Data Lake has emerged as a popular solution, offering scalable, secure, and cost-effective data storage and analytics capabilities. However, like any technology, it has its pros and cons. In this blog post, we will delve into the advantages and disadvantages of Microsoft Azure Data Lake, providing you with a comprehensive understanding of its potential benefits and limitations.

Pros of Microsoft Azure Data Lake:

Scalability: Azure Data Lake provides virtually limitless storage capacity, allowing organizations to handle massive amounts of data without worrying about capacity constraints. It can seamlessly scale up or down based on your needs, ensuring you can store and process data of any size.

Integration with Azure Services: Azure Data Lake integrates seamlessly with other Azure services, such as Azure Databricks, Azure HDInsight, and Azure Machine Learning. This integration enables you to leverage the full power of the Azure ecosystem for advanced analytics, machine learning, and data processing.

Security and Compliance: Data security is a top priority for any organization. Azure Data Lake offers robust security features, including rest and transit encryption, access control policies, and Azure Active Directory integration. It also complies with various industry standards and regulations, such as GDPR and HIPAA, ensuring your data remains secure and compliant.

Cost-Effective: Azure Data Lake follows a pay-as-you-go pricing model, allowing you to pay only for the storage and processing resources you actually use. With its efficient data compression and storage optimization techniques, you can reduce overall data storage costs while maintaining high performance.

Cons of Microsoft Azure Data Lake:

Complexity: While Azure Data Lake offers powerful capabilities, it also comes with a certain level of complexity. Setting up and configuring the data lake requires expertise and knowledge of Azure services. Organizations without prior experience may face a learning curve to harness its potential fully.

Data Management: Managing and organizing the data can become challenging as the data lake grows. Without proper governance and data management practices in place, it is easy for the data lake to become cluttered and difficult to navigate. This issue can impact data discovery and analysis.

Performance Considerations: Although Azure Data Lake is designed to handle large-scale data processing, certain operations, such as querying unindexed data, may result in slower performance. Optimizing performance may require careful data partitioning and indexing strategies.

Monitoring and Troubleshooting: Monitoring and troubleshooting issues within Azure Data Lake can sometimes be complex. Understanding the various monitoring tools and interpreting the data they provide can be a challenge. Having a dedicated team or expertise in this area can help ensure smooth operations.

Conclusion:

Microsoft Azure Data Lake offers a robust platform for storing, processing and analyzing vast amounts of data. Its scalability, integration with Azure services, security, and cost-effectiveness make it an attractive choice for organizations. However, it is important to consider the complexity, data management challenges, performance considerations, and monitoring aspects before fully embracing Azure Data Lake. By understanding the pros and cons, you can make informed decisions and leverage its capabilities to unlock the true potential of your data.

How PowerBI Business Intelligence Improves Business Productivity

Business intelligence (BI) is a powerful tool for uncovering insights and making strategic decisions. Microsoft Power BI is a unified, scalable platform for self-service and enterprise business intelligence, making it easy to connect to and visualize any data. With Power BI, businesses can turn their data into opportunities and drive better decisions by analyzing their enterprise data for insights. Power BI helps businesses enrich their dashboards with Excel, Power Apps, and Visio content, which can then be embedded in Teams, SharePoint, or exported to PowerPoint. This allows teams to make informed decisions quickly and easily. Additionally, Power BI Desktop enables users to create interactive reports customized for their business with stunning data visualizations. Power BI also offers business intelligence tools that optimize data to create analytical reports in real-time. This helps organizations uncover organizational trends and pinpoint critical insights quickly. By leveraging the power of Power BI's business intelligence tools, businesses can improve productivity by making informed decisions faster than ever. Microsoft Power BI is an invaluable resource for businesses looking to gain a competitive edge in the market by improving their productivity through better decision-making capabilities. With its comprehensive suite of features and intuitive user interface, Power BI provides businesses with the power they need to succeed in today's digital world.

Sources

Leverage Your Big Data and Gain Insights with These Top Analytics Tools

Big data is big business. In fact, the big data market is forecasted to reach $103 billion by 2023. Organizations are collecting and storing vast quantities of data like never before – but are they making the most of the data they are collecting? When analyzed properly, your data can provide valuable insights that help your business succeed and give you a competitive edge. Those insights can help you better understand the market, your consumers’ needs, and current trends, so you can make better decisions. They can also help organizations adapt to a rapidly evolving marketplace and predict the future. Unfortunately, not every company knows what do with the data they have. According to Forbes, 95% of businesses have mass quantities of unstructured data, making it difficult to manage and analyze. That means a lot of data is collected, stored, but ultimately goes unused. It’s time to put all that data to work for you. Here are some of the top analytics tools that can help your business harness the power of big data. Microsoft Azure HDInsight – HDInsight empowers you to manage your big data by using open-source frameworks such as Hadoop, Apache Spark, Apache Hive, LLAP, Apache Kafka, Apache Storm, R, and more, in your familiar Azure environment. This full-spectrum, cloud-native analytics service lets you process and analyze massive amounts of data at scale - on an “only pay for what you use” basis - and offers high availability, increased security and compliance, and tools that help your developers be more productive. SAP Analytics Cloud – The SAP Analytics Cloud, the analytics layer of SAP's Business Technology Platform, combines business intelligence, predictive analytics, and planning capabilities into one, enterprise-wide cloud environment. The SAP Analytics Cloud easily connects with SAP HANA, as well as other SAP solutions. Get stunning visualizations of your insights, and uncover the intelligence needed to make business decisions and take action. Apache Hadoop – This open-source, scalable storage platform allows for the distributed processing of large data sets across clusters of computers using simple programming models. Hadoop is a cost- effective, scalable solution that can handle large volumes of data without format requirements, which is why it is one of the most popular analytics tools for big data. MongoDB for Analytics – MongoDB offers a distributed architecture and provides a robust set of tools for every type of user. Able to accommodate any new source of data and deliver high performance, even under massive data loads, MongoDB provides powerful reporting, real-time insights, driven by AI and machine learning applications. If you’re interested in making the most of your big data, Dobler Data Solutions can help you find, integrate and leverage the analytics tool that best meets your needs. Contact us today and let us help you gain the actionable, strategic insights you need to succeed today and in the future.

Microsoft Azure Leads the Industry for Hybrid Cloud Environments

When you look to choose a data service provider, there are a myriad of reasons to head for the Cloud – and perhaps just as many reasons to opt for Microsoft Azure. Decentralized, cloud-based data centers provide flexibility and scalability to organizations that need to be intentionally strategic in today’s unpredictable economic environment, and Microsoft Azure offers industry-leading, seamless support for hybrid infrastructures that connect on-premise datacenters with the Cloud. While Microsoft Azure is the second largest cloud provider in the country, behind only AWS in revenue and market share, Azure is number one in the hybrid infrastructure market. Azure Continues to Gain Momentum Microsoft Azure’s popularity is no accident. Google Cloud has been around for nearly years longer, but has come nowhere close to Azure’ market share. In fact, a recent Statista report, states that in the third quarter of 2021, while Amazon Web Services (AWS), controlled 32% of the entire market, Microsoft Azure takes second place with 21% market share, followed by Google Cloud with a mere 8% market share. AWS enjoyed a 7-year head start on Azure, but that advantage is slipping as Microsoft continues to improve Azure and carve out larger market segments. Azure’s Hybrid Advantage Microsoft already had a strong foundation in providing on-premise datacenters for enterprises around the globe, so the move to the Cloud positioned Microsoft to fully embrace and support the hybrid environment model into their infrastructure. Hybrid cloud environments are ideal for enterprise clients who need to maximize flexibility, security, and scalability while also considering costs. Hybrid infrastructures enable organizations to wade into the waters of IaaS at their own comfort level instead of necessitating a single massive migration project, saving both time and money. More Development Tools with Azure’s PaaS Microsoft also offers Platform-as-a-Service (PaaS) as well, providing increasingly robust environments and tools for application developers in an integrated dev-ops environment. By empowering their clients to easily test and deploy applications across products, Azure has become a favorite among developers for its ease of use, myriad of tools, and API support. Microsoft Azure’s flexibility, service, and support, make it a top choice for an increasing number of businesses, and Azure’s position as the leading hybrid cloud provider speaks to their true understanding of the wants and needs of the enterprise community and their dedication to meeting those needs. Formore information about Microsoft Azure and how it can help your enterprise rise above the rest, contact Dobler Data Solutions today.

Reasons to Migrate to Microsoft Azure Cloud

There are many compelling reasons to consider migrating your business to Microsoft Azure. As the second largest cloud computing platform in the world (first among large enterprises), Azure offers infrastructure as a service (IaaS), platform as a service (PaaS) and software as a service (SaaS) to meet a wide range of needs. Azure has steadily increased its share in the cloud market, by being cost-effective, easy to use and integrate, offering faster development, testing and delivery; and through world-class security and data compliance. So, if you’ve been thinking about migrating your business to Azure, you’re not alone. Let’s explore some of the many benefits to migrating to Azure and how to make the transition as seamless as possible. Lower Barrier to Entry A key benefit to cloud-based services like Azure is that you don’t have to invest a lot of upfront capital in servers, storage, or networking. Azure’s IaaS and PaaS solutions are based on consumption, meaning you only pay for the services you use (whether that means how much data storage you consume or how many hours your virtual servers are powered up.) Since there are many factors that go into each bill, businesses should enlist a qualified IT/database partner to help them navigate that complexity. They can help businesses identify ways to cut costs during deployment, as well as during ongoing maintenance and storage. The Time is Now Especially now, when remote work and access to online tools and technology has become the norm, migrating to Azure can be a game-changer for your business. Organizations can gain a number of competitive advantages such as including faster product development across platforms, easier integration with SQL server data and Microsoft infrastructure, high accessibility, and best-in-class security and compliance offerings. As the pandemic has spurred businesses to embrace digital transformation, it’s important to stay current with technology to remain competitive. Perform a Migration Assessment With Azure, migration to the Cloud is smooth and seamless – minimizing any disruptions to your business. Still, to avoid any unpleasant surprises, it is wise to have an experienced cloud migration partner conduct a migration assessment of your current IT environment, to ensure you are prepared and make any necessary adjustments ahead of time. Also, make use of Azure Migrate, which provides a unified migration platform where you can start, run and track your migration to Azure with a range of helpful tools. If you’re interested in migrating to Microsoft Azure, our team of experienced data engineers and consultants can help. For more information about successfully migrating to Microsoft Azure, contact Dobler Data Solutions today.

Harness the Power of Power BI

Power BI can help your organization make the most of your big data investments by connecting to all your data sources, scaling to analyze, share and promote insights, and maintaining accuracy, consistency and security. It helps empower everyone in your business to quickly make data-driven decisions so you can reach your organizational goals. You should consider Power BI if you are looking to make your analytics process more accessible, simpler, more flexible and intuitive. Power BI provides tools that the non-technical users on your team can use to perform analytics - without having to involve your IT team. You can create easy-to-use models, data visualizations, and dashboards and share them throughout your organization. Why Choose Power BI? Power BI is a cloud-based analytics platform consisting of a combination of tools (i.e., visualization, self- service data analysis, etc.) that allows users to connect to multiple data sources—no matter where the data resides—and create clear and custom insights. It easily enables you to create a data-driven culture in your organization, putting the power of AI in everyone’s hands for better decision-making across the board. Power BI consists of many components. Users find some more useful than others depending on their roles in the company. To get the most out of it, you should do your best to ensure all users are informed of the capabilities of each, so everyone can decide for themselves which components are a better fit for the work they need to perform. At Dobler Data Solutions, we can assess your business’ needs to determine what Power BI solution is the best fit for you. Some of their key offerings include:

Power BI Desktop – Power BI Desktop allows you to access data from hundreds of supported on-premises and cloud-based sources, such as Dynamics 365, Salesforce, Azure SQL DB, Excel, and SharePoint. From there, you can use data modeling tools, leverage the self-service Power Query experience, and provide advanced analytics with the ease familiarity of Microsoft Office. You’ll even be able to use the power of new AI capabilities (with no knowledge of code) to explore your data, identify patterns and predict the future, and share your findings with stunning custom interactive reports. Oh, and did we mention…Power BI Desktop is free!
Power BI as a Service – An online SaaS (Software as a Service) that connects to your various data sources and allows users to create dashboards, slice data online, and build reports and other visualizations on the website. This offers all the capabilities of the Desktop version, and much more! Power BI as a service is available in a Pro Model (for self-service analytics) and a Premium Model (which unifies self-service and enterprise BI for more advanced applications).
Power BI Mobile Apps – Easily monitor, view, and share Power BI dashboards and reports on any device with Power BI Mobile Apps, which are available on Windows phones and tablets, as well as iOS and Android devices. You’ll have a 360-degree view of all your data and access to the insights you need – anytime and anywhere.

Power BI offers you some of the most powerful business intelligence tools on the market today, delivering great value at low (or no) cost. Give your business leaders access to the analytics and insights they need to thrive in the future without breaking the budget. To learn more about Power BI and how your business can make the most of it, visit us at Dobler Data Solutions or contact us today! We’re committed to your success.