Power BI – Page 5

A Definitive Guide to Power BI for Beginners

You want to gain competitive advantage from your data analytics but don’t know where to start. Or have you started using Power BI but don’t really know how to optimize its usage in your organization? If yes, then this post is exactly what you’ve been searching for. In this article, I’ll reveal everything you need to know about Power BI. You’ll also get some tips to boost your productivity using Microsoft’s cloud solution. Power BI is one of the newest tools offered by Microsoft, offering several interesting features such as dashboards, reports, analysis etc… With this tool, it’s now possible to manage large amounts of data easily thanks to the ability to visualize them in attractive ways. You can create your very own dashboard or even build a custom report. But before you jump into building those awesome visualizations, there are a few things you should know first. Let’s go through each one of these aspects carefully. What is BI or Business Intelligence? Before digging into what is Power BI and the benefits of using it as a tool, it is important to understand the basics of BI. Business Intelligence or BI is a process that analyses and converts raw data into coherent and actionable information for use in analysis of business operations. Firms that have incorporated BI for making decisions have experienced better performance and productivity. Teams are observed to be delivering up to a ten-fold increase in ROI. If stats are to be believed, the absence of BI in a firm has shown a high percentage of raw data, as much as 99 percent, left unutilized. To sum it up, business intelligence uses tools to take raw data, and then converts it into smart plans, aiding in right decision-making. BI helps organizations and businesses adapt an object-oriented approach by defining KPIs and setting benchmarks to have an aligned direction for achieving goals. Moreover, BI makes it possible to organize and manage the otherwise unmanageable data into controllable streams, while putting it into respective uses. What is Power BI? Analytics is a major concern today considering we live in a data-driven age. It deals with discovering, interpreting, and processing data to reach a conclusion. Albeit data and business analysts have multiple tools to choose from, they always go for something that is convenient to use and provides easy access. Power BI tool from Microsoft is a collection of software services, apps, and connectors that work together to utilize all sources of raw data into coherent, easy-to-process, visually compelling, and interactive insights. Curated by the tech-giant Microsoft, Power BI allows the user the access to resources they need to aggregate, visualize, analyse, and share data. Connecting to a wide range of data resources from a basic Excel sheet to databases, and both cloud-based and on-premise apps, This business intelligence tool gives the user the convenience of sharing intelligible insights of what’s happening in their business. Often used as an umbrella term, Power BI can also refer to either a Windows Desktop application called Power BI Desktop, or mobile Power BI apps on a Windows OS device, as well as for iOS and Android devices. Who can use Power BI? Often it is observed that business intelligence products tend to fall in the user-friendly zone for profiles like business analysts and data scientists. But thanks to its user-friendly and easy-to-process nature, Power BI can be used by a wide range of people in an organization. In fact, one of the major reasons for Power BI to be so widely popular is the point that users irrespective of their technical expertise level or background find it convenient for use. Because of its versatility and useful features, professionals consider Power BI in healthcare industry as a must-have tool. Organizations who do not have an in-house Power BI service, usually outsource it to another firm that has rich experience in data science and related tools. Such is its effect on users and growth of organizations, that there has been a spike in demand for Power BI developers and services in almost all the industries. Businesses wherein creation of data models and reports for analysis is mandatory, may or may not have the skills to operate all the BI tools. In such cases data science consulting firms such as Datatobiz turn out to be extremely supportive, as Power BI is an essential tool for data scientists and analysts to work on. Cumulatively, Power BI works with data in whatever way it is asked to do, so you can use it in any way. A couple of industries that use Power BI regularly are airline, hospitality, healthcare, and retail. Departments irrespective of the industry the firm belongs to, that use this BI tool include finance, marketing, human resources, and IT. Why are organizations or individuals using Power BI? Power BI facilitates intelligent decision-making, eventually reducing the likelihood of failure and mitigating inherent risks. The data that BI processes are available for viewing and interacting 24*7 from anywhere, as long as you have mobile access. The mobility that it provides is considered a star feature against other BI tools where access to viewing is restricted to a particular location only. This convenient feature allows the users to pull, process, and share real-time data anywhere anytime, making Power BI services rise in demand. Data security is a major concern for any organization irrespective of the industry. Power BI lets the user track and control data usage, granting access only to those who are supposed to have it, without having to bother tech support or IT security elements. Power BI also offers the flexibility to save data on cloud storage, thus preventing exposure of sensitive data by blocking risky user activities in real-time. That apart, Power BI is scalable, so it can fit under any organization and is capable of handling changes in size, be it a rapid business expansion or an unexpected downsizing. The beauty of Power BI is its ease of use, even by people who

Comparing Tableau vs Power BI vs Python (Simple Verdict)

Data visualization has gained massive popularity in recent years owing to the demand for data. In a business setup, these business intelligence tools can help analyze all the data and monitor performance to enhance the firm’s growth and employees’ productivity. With the world switching to digital means all together in the year that went by, data is now considered fuel for every small, medium, or big firm. In such a scenario, what sounds better- a spreadsheet that mentions the date, time, sales, and profit OR a colorful, descriptive bar chart interactively explaining all the details? Our vote goes to the latter. Tableau vs Power BI vs Python, it’s the clash. But which tool would be the best to create such visually appealing charts? And, which one would provide the required versatility to the user? These are the questions that would cross anyone’s mind when planning to implement business intelligence in the system. It is well analyzed from the comparison of Tableau vs Power BI vs Python. Let’s find out which of the top data visualization tools will be best suited to your business requirements. What is a Data Visualization Tool? An essential part of any business strategy, data visualization is the process of collecting data and transforming it into a meaningful visualization to support decision-making. These visualizations could be in the form of bar charts, maps, or anything that is visually appealing and interactive. They convey the information to the viewer by simply looking at them, whereas normally one needs to read spreadsheets or text reports to understand the data. Talking of the best data visualization tools used by analysts in various industries according to their specifications and applications, they comprise Tableau, Power BI, and Python. All these software programs help businesses make decisions and questions faster. Brief Overview: Tableau vs Power BI vs Python Tableau A tool that is used by data analysts, scientists, statisticians, and academicians to visualize data and get a clear opinion based on data analysis. It’s regarded as the best solution to transform the unprocessed set of data into an interactive format and doesn’t require the user to excel in any technical skills or coding. As soon as Tableau is launched, one can make use of the built-in data connectors to connect to any database. The data can be easily extracted in its raw form and converted into a comprehensive representation to transform the way people use data for problem-solving. Tableau services have been high in demand ever since its effect has been noticed on the growth of firms. For those firms that do not have an in-house tableau developer, the requirement is outsourced to a data science consulting firm. Power BI Power BI from Microsoft is an exclusive collection of software services, apps, and connectors that are used to convert raw data into visually compelling insights. The tool allows connecting to a wide range of data resources from a basic Excel sheet to databases, and both cloud-based and on-premise apps. Power BI services are mostly used by business analysts and data scientists, but at the same time allow the user base to vary from a beginner to a pro in handling it. Power BI tool is widely recommended by industries where the creation of data models and reports for analysis is mandatory. The airline, healthcare, hospitality, and retail are a few to name. Python Python is a dynamic, interpretive script programming language. Developed sometime during the early 1990s, this language supports major paradigms of today’s software development methods such as structured programming, OOP (object-oriented programming), and AOP (aspect-oriented programming). Due to the availability of powerful value-added packages for a chosen few applications, one can develop high-performance apps through Python. Python program code is transparently translated by an interpreter into an intermediate code, the so-called byte code. Python interpreter is available for all common operating systems such as Mac OS, Windows, Linux, and others. Top tech companies including Google opt for Python as their programming language as their in-house scripting language for the development of web applications. As far as using it as a data visualization tool is concerned, Python offers multiple libraries in graphics that are packed with different features. Some of its top-notch graphing libraries that help in creating live and highly customized plots are Matplotlib, Ggplot, Seaborn, Plotly, and Pandas Visualization. Python is preferred for data analysis of the highest levels, which is why it is also the most sought-after programming language when developing data visualization software. Comparison Parameters 1. Data Sources Both Power BI and Tableau often use Excel files as a source for raw data. While Tableau offers support for multiple data connectors including cloud platforms, online analytical processing, and big data, Power BI is capable of connecting to external sources including MySQL, third-party databases, Microsoft Azure, and online services like Salesforce and Google Analytics. As far as Python is concerned, it’s a bit difficult to make visuals rapidly as compared to the other two. However, if you are to deal with streaming data there’s nothing better than Python. 2. Data Models and Adaptability Tableau allows the creation of simple data models such as a single table or multiple tables with different combinations. It is mostly suited for the quick and easy representation of big data which helps in analyzing and resolving issues. Power BI, on the other hand, has its data models focused on ingestion and building relatively complex models. Python is the best when it comes to handling streaming data. With its big user data, Python can easily help you find a package to parse the data collected by the user, even if it’s an obscure type. 3. Data Discovery The process of data discovery involves detecting patterns and oddities in data by visually navigating or applying guided advanced analytics. Both Tableau and Power BI allow the user to freely explore data without knowing the answer. These business intelligence tools give the user the freedom to spot correlations and trends while digging down to understand what caused

19 Quick Questions to Ask from Power BI Consultants Before Hiring Them

In an age where data is the determining factor to make decisions, data analytics is crucial for firms to grow. Data analysis involves discovering, interpreting, and processing data to reach a conclusion. Until a few years back, business and data analysts had not many tools to choose from to organize and interpret their data, thereby aiding in decision making. But then Microsoft launched its business intelligence tool in 2013, which combined new features with several add ons of Excel to form a completely new platform with interactive data visuals and interactive reports shared through a personalized dashboard The demand for Power BI developers has increased by many folds in recent years owing to the rate at which firms are adopting business intelligence. This also led to an increase in the number of Power BI service providers who offer remote consulting services. For those industries which do not find the need to apply BI in their daily operations, outsourcing is one of the options. But how would you decide if the outsourced firm offering Power BI consulting services or individuals is the right way choice to get your job done? Microsoft Power BI consultants have different levels of experience which is valuable to firms in respective ways. You need to be familiar with the way they work and their experience before you commit to any finances. To help you get access to the best Power BI services, we have compiled some important questions and expected answers from a Microsoft Power BI consultant. Take a look… Basic: Consultants with 2-3 yrs experience. 1. Why should I use Power BI? As a business intelligence tool, Power BI helps you convert raw data, like that from an Excel sheet, into interactive insights. Companies offering Power BI consulting services for data analytics help you adopt the data-driven model in the enterprise to enable faster and efficient decision-making. The primary reasons for using the Power BI tool are… 2. What would suit my requirements better – an in-house Power BI resource or outsourcing it to a Power BI consulting team? Recruiting an in-house Power BI consultant has its own benefits and disadvantages. To talk of benefits, I would say the response time of the team is better, they can be involved in internal and external projects, and are flexible to adapt to your corporate culture. However, more than anything, when you are hiring a Power BI specialist, the candidate must have specific skills, to be efficient in working with the data visualization tool, and such professionals don’t come for a small salary. Secondly, there will be a time when your business expands. In such a situation you might have to re-engage in recruiting or expanding your team to handle the requirements of the entire organization. Opting for consulting services would be a smart choice in such instances. On the other hand, outsourcing it to a Power BI consulting team that specializes in data science tools and services gives you access to a fully equipped team with experts in every field. This also helps in saving a lot of money and efforts you’d put in otherwise. You can get high-quality results for the lowest cost. The other alternative is outsourcing it to a Power BI services firm. However, it is observed that following an agile methodology works best when you’re outsourcing service for this helps in avoiding delays and disruption of deadlines. If you want to be one of the industry leaders, you’ve got to hire only the best Power BI consulting services. 3. What are the essential applications of Power BI? Power BI is mainly used by industries where data is considered as fuel for daily operations, like Airline, Hospitality, Retail, Healthcare, and so on. It is widely used by data and business analysts to monitor performance, and drive growth in an organization. To summarize some of the top roles that make use of Power BI are… 4. What are the drawbacks of using Power BI for a small or medium firm? One of the major disadvantages of Power BI is that even though it’s easy to use for simply importing data and creating reports, it is complex to master for other functions. Power BI helps increase operational efficiency by allowing you to make data-driven decisions based on custom visuals generated using the personalized dashboard. When the purpose of using this business intelligence tool is much more than creating interactive visualizations from raw data, Power BI is an entire suite with a lot of interrelated functions like Gateways, Report server, Power BI services, etc, which you’ll need to learn. The power platform has a lot to offer if you know how to use it the right way. It can make you one of the industry leaders, given you have the necessary systems to work on data analytics. 5. Name some important components of the Power BI toolkit along with the function they perform. Power Query: This allows you to discover, access, and interpret information from different sources.Power Pivot: A data modeling component.Power View: A presentation tool to create charts, tables, and other compelling visualizations.Power Map: Helps in adding geolocation to your data.Power Q&A: This allows the user to ask questions in plain language and get answers accordingly. 6. What are the types of data Power BI is compatible with? Some of the major data sources used in Power BI Desktop are… Mid-level: Consultants with 4-5 yrs of experience 7. What is grouping? How can my firm benefit from it? A component of Power BI, Power BI Desktop allows you to collect data and organize them into smaller groups. In a firm that has cross-functional teams, grouping can be a way for both teams to view and extract data crucial for either. Just use Ctrl+click to select multiple elements in the visual and right-click to see which of them appear on the group’s window. 8. What is the purpose of the ‘Get data’ icon in Power BI? When users click on the Get-data icon in Power