business intelligence tools power bi factory

2023-05-21 21:22:12

There are four keys steps that business intelligence follows to transform raw data into easy-to-digest insights for everyone in the organization to use. The first three—data collection, analysis, and visualization—set the stage for the final decision-making step. Before using BI, businesses had to do much of their analysis manually, but BI tools automate many of the processes and save companies time and effort.

Business intelligence tools typically use the extract, transform, and load (ETL) method to aggregate structured and unstructured data from multiple sources. This data is then transformed and remodeled before being stored in a central location, so applications can easily analyze and query it as one comprehensive data set.

Data mining, or data discovery, typically uses automation to quickly analyze data to find patterns and outliers which provide insight into the current state of business. BI tools often feature several types of data modeling and analytics—including exploratory, descriptive, statistical, and predictive—that further explore data, predict trends, and make recommendations.

business intelligence tools power bi factory

Data and AI are reshaping the way enterprises operate in today’s dynamic business scenario. Irrespective of their age and size, organizations are adapting to modern ways of strategy planning, empowered by cutting-edge business intelligence (BI) tools, data mining, data classification & visualization, and analysis. BI is the foundation of modern organizational structure and promotes data-driven decision making as a culture at all levels of the enterprise. Power BI by Microsoft is a powerful Business Intelligence technology designed to integrate and simplify the use of complex data for top, middle, and even lower management. By empowering analytics, it helps organizations to translate data into meaningful insights, and improve enterprise efficiency by quickly adapting to market changes.

In most organizations, data sources are scattered and varied. Incompatibility of resources combined with limited visualization abilities result in underutilization and sometimes even loss of critical data assets. Power BI bundles software’s, apps and connectors that connect your data resources into one coherent set to derive deep actionable and interactive insights. It makes data more insightful, visually impressive, and easily shareable. As a package, Power BI comprises a Windows application, an online SaaS service and Power BI mobile apps for Windows, iOS, and Android devices.

Power BI Desktop application allows you to access data from a myriad of cloud based sources, make data prep and modeling easier than ever, draw deep actionable insights and create rich, interactive reports with visual analytics for free.

Power BI in the cloud enables easy report sharing, scaling, and collaboration while maintaining complete data accuracy and security. Using professional and premium versions, enterprises can avail benefits and services that suit their specific collaboration, publishing, and consumption needs. A simple pricing and features comparison can help you determine which version is best suited.A Power BI Pro license lets you collaborate with colleagues, model data, author content, share dashboards, publish reports, and perform ad-hoc analysis. To read and interact with pre-published dashboards and reports, you can choose either a per-user Power BI Pro license or a Power BI Premium license for large-scale databases.

Power BI is a modern tool that’s compatible with a wide range of applications such as Microsoft Teams and Excel so that everyone involved in strategic decision-making works with the same data to achieve broader organizational goals. The free Power BI mobile app for Android, iOS, and Windows Mobile takes shareability to the next level by allowing users to view and collaborate on reports and visualizations on the go. It gives a secure access to view live Power BI dashboards and reports on any device. Needless to say, when fluid data visuals are on your fingertips, insights based on real time data become the new superpower of all teams.

Integrating Power BI with Microsoft APIs can help businesses drive holistic growth in terms of operational efficiency and promote an overall data-centric approach. By using Power BI with completely compatible tools like Azure and MS office, data can be unified and visualized securely. It helps in encouraging usage of data analytics and business intelligence at all organizational levels by modernizing reporting, converting data into more digestible (visual) formats and providing end to end data protection. Integrations empower important decisions with solid, scalable, and secure data and support shareability through a wide range of APIs. Let’s understand this better.

Opening up massive possibilities through improved collaboration and decision making, Power BI and Azure is a cracking combination for developing visualization and reporting capabilities, collaborating seamlessly, and extracting maximum value from your data. Using Power BI with Azure apps improves analytics infrastructure management within a single interface, along with reduced time-to-insights and massive scale and flexible storage for data of any size or type.

Also, data analysis improves a great deal when you combine Power BI with the open source technology of Azure Databricks, or study structured or unstructured data using AI-powered features built into Power BI. Connect Power BI to Azure to explore more.

Integrating Power BI insights with Office capabilities allows you to do so much more with your data. You can collaborate on directly shareable reports using Microsoft Teams, get broad data analytics and visualization capabilities by combining with Excel with Power BI, embed interactive reports in SharePoint Online, export the same reports to PowerPoint as high-resolution images, turn your Visio diagrams into interactive visualizations, and control your data with Microsoft Information Protection and Cloud App Security.

As more and more organizations consider consolidating into an enterprise BI platform, WinWire recommends a Factory Model to enable enterprise adoption of Power BI as the strategic Tool. The easy to implement model suggests gradual migration of all business intelligence & visualization assets from other tools to Power BI following a step-by-step process. Direct benefits of WinWire’s factory model with Power BI will be visible in the form of improved efficiency and over 30% reduction in development cost through leverage of a global delivery model. It also helps in managing licensing costs via creative application designs and thought leadership. The factory model emphasizes on standardization of best practices and developing modern capabilities with high quality, predictability, and faster turnaround. Powered with Power BI, it adds value by simplifying and consolidating reports and visualization on a world class platform and delivering consistent and interactive user experience.

Assessing the current BI footprint, identifying inventory and data that needs to be migrated to BI, mapping consumer needs to respective Power BI features.

Rated consistently as a leader in analytics, Power BI is a remarkable tool in BI and Visualization with industry leading features that include unified self-service and enterprise analytics, accelerated big data prep, ability to leverage latest advances in Microsoft AI, improved publishing efficiency and accuracy of BI content, unparalleled integration capabilities, and streaming analytics in real time. Companies from almost all industries are willing to migrate to Power BI. Tying it with WinWire’s factory model approach makes migrations deliver outstanding improvement in overall efficiency of the business.

Recently, WinWire helped a leading animal healthcare company, by leveraging its Migration-as-a-Service offering to elevate business efficiency and reduce cost.This included converting over 40 reports that were built using SSRS and Business Objects, to Power BI The SSRS reports presented a unique complexity in the form of “Data Driven Subscription” feature that is not currently supported by native Power BI.

WinWire’s solution resulted in re-platforming SSRS reports and Business Objects reports to Power BI by leveraging leading technologies such as, Azure Logic Apps, Power Platform and Power BI service on Azure. The stepwise Power BI Factory model approach helped improve business efficiency and the customer experience by moving to a superior platform while realizing a 30% reduction in hosting cost.

WinWire’s Power BI Factory model approach is helping many global companies to ensure a smooth migration to Power BI and meet the ever-increasing dependency on data-driven decision making and strategy planning, globally. Stay tuned for more case-studies on Power BI solutionswith WinWire.

business intelligence tools power bi factory

We are feeling like we are in a MUCH better spot than we were before switching over to Solution Systems; it"s nice to work with subject experts instead of the folks who couldn"t even tell us how to set up security or provide Power BI training. So thanks to all for your hard work so far, we are very appreciative."

business intelligence tools power bi factory

Assessing the current BI footprint, identifying inventory and data that needs to be migrated to BI, mapping consumer needs to respective Power BI features.

business intelligence tools power bi factory

Today, data is more important than ever before. This is the main reason more manufacturers are turning to Business Intelligence (BI) tools to help them make sense of the information they’re collecting. BI tools can help you track key performance indicators (KPIs), understand trends, and make better decisions for your business. And this will only become more important as regulations change, competition intensifies, and customer needs evolve.

As things continue to change, it’ll be essential for manufacturers to remain agile enough to adapt quickly – and that means looking at what Business Intelligence tools they’re using now, and how their needs might shift over the next few years. As an example, there’s been a significant shift from big Data Analytics over recent years as IoT (Internet of Things) solutions become more ubiquitous. As a result, analytics solutions that were designed for analyzing small datasets have fallen out of favor with larger manufacturing companies.

Tools aren’t the only important factor, either. The manufacturing industry is under constant pressure to improve productivity, while also reducing costs. In order to stay competitive, manufacturers must adopt new technologies where they can. With so many options on the market, it can be difficult to know which BI tool is right for your business. Luckily, this question has been answered by a study from International Data Corporation (IDC). IDC’s 2018 Worldwide Semiannual Manufacturing Smart Machines Spending Guide revealed that artificial intelligence-powered analytics will become increasingly important over the next five years.

According to a report from marketsandmarketsblog.com, The global AI-powered analytics market is projected to grow from $10.5 billion in 2021 to $28.1 billion by 2026 – at a CAGR of up to 21.7% over the forecasted period.

What does this mean for manufacturing? Manufacturers need data about their performance – not just about their products or services but also about their employees and processes. Using intelligent systems like augmented reality or virtual reality combined with artificial intelligence-powered analytics will allow manufacturers to better predict outcomes and make data-driven decisions that drive profitability while improving employee engagement levels.

One organization already doing this is Caterpillar Inc., who implemented digital transformation into its retail stores through an AR application called CatAdvisor. CatAdvisor uses computer vision and 3D point clouds to help retailers sell more products, identify inventory gaps, analyze customer preferences and monitor store traffic patterns. And now Caterpillar is piloting sensors in stores using machine learning and IoT technology to get even more granular insights into customers’ preferences. With these AI-powered solutions available today, there really isn’t any excuse for a manufacturer not to embrace advanced analytics!

Even the concept of operations management in the manufacturing industry is going through significant changes. In the past, the focus was on production efficiency and cost reduction. Today, the focus is on customer needs and market demand. To meet these new challenges, manufacturers are turning to business intelligence (BI) tools and Microsoft Dynamics 365 F&O. Together, these modern solutions enable better insight into product quality, reliability, compliance, and any other KPIs that impact the end customer experience.

Manufacturing companies can also use BI tools to gain insights into their own operations with real-time data analysis that can be used for decision making such as material sourcing or capacity planning. These solutions allow manufacturers to increase throughput and reduce downtime. For example, a manufacturer may have a bottleneck at one part of the process because they can’t produce enough parts quickly enough due to limited materials availability. With BI they could track down the problem by looking at lead times, inventory levels and component dependencies. With this information they could find alternative suppliers or renegotiate with existing suppliers in order to free up those materials so they can increase production volume.

Business intelligence tools are nothing new. In fact, they’ve been around for decades. But what is new is the way that manufacturers are using them to gain a competitive edge. With the rise of Industry 4.0, manufacturers are turning to business intelligence tools to help them make sense of the vast amounts of data being generated by their factories. And with the help of included Power BI connectors, integrating these tools into different systems has become incredibly easy.

Power BI Connectors are an innovative way to enhance your manufacturing business intelligence data with minimal coding. Rather than manually inputting data into your business intelligence software, connectors automatically export data from other sources directly into Power BI without the need for extensive development. This saves time and money by minimizing any manual processes involved and gets you up and running faster than ever before. You can choose from a variety of pre-built connectors for industry-leading applications like Microsoft Dynamics, SAP, Salesforce, Google Analytics, Twitter, and many more. You can even build your own if needed.

business intelligence tools power bi factory

Today, data analysis plays a vital role in companies’ daily functioning and development. With the help of modern Business Intelligence tools, such as Microsoft Power BI, aggregating, segmenting and visualising data becomes much simpler and accessible to virtually all employees. If you’re wondering whether Power BI is right for your company, here are 5 reasons why it’s worth implementing.

Configuring Microsoft Power BI is relatively simple and does not take much time. The included dashboards for services such as Salesforce, Google Analytics, or Microsoft Dynamics allow you to extract information from the analysed data quickly. Notably, the architecture of the Power BI system consists of:

desktop application (Power BI Desktop) – is used to process data, create reports, and visually present data. In conjunction with Power BI Pro, it enables sharing of built projects with team members and others so that decisions are based on facts, not guesswork;

cloud application (Power BI Service) – enabling the construction of reports and sharing between users. It is a version of the program available in the cloud, which allows you to download data and work on them without the need to install software;

mobile application (Power BI App / Mobile) – ensuring comfortable viewing and interaction with data in any place and time. It is a version of the programme designed for phones and tablets.

Companies that have already decided to implement Power BI admit that it has led to a significant reduction in costs in their organisation. This is possible because, with the help of modern systems for data analysis, the entire analysis process runs much more efficiently and can also be performed by employees who do not have much technical knowledge. As a result, faster, more accurate, and more comprehensive access to information means better business decisions. This, in turn, translates directly into stable company development and increased revenues. Equally important, Microsoft Power BI is scalable – from individuals to the entire organisation.

Once the system is deployed, instead of sending large files via email or putting them on a shared drive, reports and visualisations are shared with Microsoft Power BI. In addition, all aggregated data is refreshed each time the underlying dataset is updated. Therefore, people using the system have constant access to critical data and can monitor the effects of their work on an ongoing basis.

Industry-leading security features protect all data processed with Microsoft Power BI. These include end-to-end encryption and real-time access monitoring. In addition, data protection is ensured regardless of the size of your database, the source of the data, the number of people involved in the analysis process, the location of the company or the number of partners with whom analysis results are shared.

The Microsoft Power BI interface was created primarily with the end-users in mind. The service provides access to advanced models that simplify creating interactive reports. What is important, users can generate queries in natural language and use the “drag and drop” functionality. Thanks to Microsoft Power BI, the problem of waiting for the IT department’s results every time we need to extract the necessary information from the aggregated data disappears.

business intelligence tools power bi factory

Manufacturing Intelligence (MI) enables you to see the trends and improve outcomes with the power that data brings. It helps to answer the important questions:

The future of Manufacturing Intelligence is changing very rapidly and therefore, our team will need to adapt to these future technologies in order to offer our customers the best tools to do their jobs efficiently. Here are a few new technologies that will help us capture, analyze and display data in whole new ways.

For data logging and reporting applications it is optimal to have plenty of processing power, disk space, and memory. Our typical database solution is to use Microsoft SQL Server Standard Edition on a Windows Server operating system, on a well provisioned Virtual Machine.

There are many modern data visualization and data analytics tools used for manufacturing intelligence (MI). Some, such as Microsoft’s PowerBI, have advanced data visualization capabilities that make products such as Excel seem rather dated; yet, Excel continues to be widely used. To understand why, let’s look at some examples.

business intelligence tools power bi factory

Power BI is a range of software services, apps, and connectors that work in conjunction to turn unrelated data sources into insights that are cohesive, interactive, and visually immersive. The data may be a collection of cloud-based data warehouses, on-premise hybrid data warehouses, or an Excel spreadsheet. The Power BI tool allows easy connection to the data sources; it also allows the visualization and identification of what is important, and share that with anyone.

The way to use Power BI depends on one’s role in a project or team. People may use Power BI differently according to preference. Power BI can be very flexible for users in this way.

For instance, Power BI can be used for viewing reports and dashboards. It can also be used for number-crunching and generating, publishing, and viewing business reports. A sales professional can use the Power BI phone app to monitor progress on sales quotas and drill into the details of a new sales lead.

Power BI developers may use Power BI APIs to push data into data sets or embed reports and dashboards into custom applications. It is also possible to create a new visual according to one’s ideas and share it with others. One may also implement each element of Power BI at different times depending on the end goal of a project.

As you can see, the usage of the Power BI tool can vary depending on the feature or service that works best for the situation. For example, Power BI Desktop helps in creating reports and statistics, monitoring the progress of manufacturing in a real-time dashboard in the Power BI service, viewing inventory, etc. Based on a Power BI data set, one can also create a paginated report of mailable invoices.

Power BI is a cloud-based BI service that was released by Microsoft in 2014. It uses years of experience in SQL Server, Access, MS Excel, etc. It enables businesses to clean and transform data into meaningful insights by thoroughly analyzing the data.

Power BI has a very easy-to-use interface. Even without prior knowledge and experience in programming, one can use Power BI. Its inbuilt intelligence allows one to choose attributes for reports by suggesting the best reporting element.

Here is an example of how easy is Power BI. After choosing the right data source, when opting for sales and category, the tool will identify the column chart on its own. Similarly, for sales and location, it will pull out the map chart automatically.

The user interface (UI) in Power BI is very simple and easily connects to the data source. On selecting the data source, a simple drag and drop allows the selection of attributes for the report.

Additionally, QA makes it extremely convenient and easy for one to have their written questions answered by Power BI through values or graphs based on the question asked. For example, a question like “What was this year’s revenue by month?” will return a graph showcasing the monthly revenue.

Power BI was built based on the founding platform of MS Excel and follows a similar approach for designing reports. Excel is a widely used software around the world, which makes Power BI easy to pick up as well. Microsoft SQL Server and Microsoft Access database served as the foundation for

Power BI comes with options that make it really easy to collaborate. Users can collaborate with others to compile interactive reports and dashboards in app workspaces.One can even publish them to a larger audience. Sharing these dashboards or reports with a smaller audience is even possible over the mobile app with Power BI.

The reports can be printed by the user as well as exported in the form of a PowerPoint presentation. The reports and dashboards can be published to public websites and anyone in the world can access and interact with them.

Power BI Desktop is available for free and the user can create simple or complex reports and dashboards. Not only that, but the pro licenses of Power BI are quite affordable at US$10 per month). For a larger audience, Power BI has a premium option allowing customization of cost based on usage.

Power BI comes with a wide array of connectors for data sources like MySQL database, SQL Server database, Oracle database, IBM Informix, Microsoft Excel, IBM DB2 database, MailChimp, Facebook, GitHub, IBM Netezza, PostgreSQL database, SAP HANA, Sybase database, Amazon Redshift, Azure SQL Database, Azure SQL Data Warehouse, Azure Analysis services database, Azure Blob Storage, Salesforce, and many more.

Visualization:Microsoft’s SDK in Power BI contains a huge library to create custom visualizations. This allows the users to customize the UI as per their requirements.

Data shaping:Power BI’s Query Editor tool is very flexible and comes with a ton of features. It is self-documenting and offers the opportunity to go deeper in the DAX language for data modeling.

Data modeling:The data modeling options offered by Power BI are very efficient. It is derived from experiences in SQL database and Cube technology, and this makes Power BI a powerful solution.

If you look at the Gartner Magic Quadrant again, you will see that there are quite a lot of competitors of Power BI such as IBM Watson Analytics, Google Analytics, Sisense, and ZOHO reports to name a few; but, Power BI stands tall in the market mainly because of its ease of use and prompt help available from Microsoft.

Ultimately, Power BI is able to drive better decision-making in businesses through its ability to provide insights in visually impressive and interactive reports. It established a data-driven culture with BI for everyone. Additionally, it keeps the data secure and includes end-to-end encryption and sensitivity labeling as well as provides real-time access monitoring.

business intelligence tools power bi factory

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