Information Related to InetSoft's BI System

Researching BI systems? InetSoft offers business intelligence software for dashboards, reporting and mashups that can be easily deployed and used. Read articles below related to InetSoft's BI system.

How Data Intelligence Can Improve The Energy And Utilities Sector - Dashboard software has the features and functionality to power up the energy and utilities industry in a number of key areas. Here, we're going to explore how the best reporting software, coupled with an analytic business intelligence mindset, can improve the sector. Such a complex and multi-faceted industry requires access to data that is reliable, cohesive, accurate, and easy to analyze. From an industrial to a consumer-facing level, many leading energy and utility companies are lagging behind when it comes to data intelligence...

Click this screenshot to view a 2-minute demo and get an overview of what InetSoft’s BI dashboard reporting software, Style Intelligence, can do and how easy it is to use.

How to Become the Best BI Reporting Professional - Today’s podcast is about ‘How to Become the Best BI Reporting Professional.’ You have been staring at your computer screen for so long you can see your presentations, spreadsheets, and documents with your closed but burning eyes. These tasks take forever. You wonder if there is a better way, but how? You want to improve your presence in meetings, but how? Stop working so many hours. Become the authority for reporting at work. Fix work problems before they happen. So I was watching these TED videos on my iPhone and I ran across the one by Simon Sinek, and it was amazing. He did this phenomenal job of explaining the difference in how you organize and how you present information with how our brains actually respond to it. He went into the biology of our brain and how it hits a certain part of your brain first before it hits another part of the brain and so how you present information registers for people on an emotional level before it registers in these others areas, so it was amazing...

How Do Cannabis Growers Use BI Solutions? - Cannabis growers utilize Business Intelligence (BI) solutions to optimize their cultivation processes and maximize yields. BI tools enable them to analyze data on environmental conditions, plant health, and production metrics, providing insights that help in making informed decisions regarding resource allocation, cultivation techniques, and overall operational efficiency in the highly regulated and competitive cannabis industry. Cannabis growers leverage Business Intelligence (BI) solutions in several ways to enhance their cultivation practices and business operations: Crop Monitoring and Analysis: BI tools enable growers to monitor plant health, growth patterns, and environmental conditions, allowing for real-time analysis and adjustments to optimize crop quality and yield. Resource Allocation: BI helps in efficient resource management by providing insights into water usage, nutrient levels, and energy consumption. This aids growers in allocating resources more effectively, reducing waste, and improving sustainability. Compliance and Regulation: Given the strict regulations in the cannabis industry, BI solutions assist growers in ensuring compliance with legal requirements. This includes tracking and reporting on cultivation practices, inventory management, and adherence to licensing conditions...

How Does an Athletic Apparel Company Use a BI Solution? - An athletic apparel company can leverage a Business Intelligence (BI) solution in various ways to enhance its operations, improve decision-making, and drive growth. Here are several ways in which such a company could utilize BI: Sales and Inventory Management: BI tools can integrate sales data from various channels, such as online stores, retail outlets, and wholesalers. By analyzing this data, the company can gain insights into sales trends, identify top-performing products, and forecast demand. This helps in optimizing inventory levels, reducing stockouts, and minimizing excess inventory costs. Customer Segmentation and Targeting: BI solutions can analyze customer data to segment the customer base based on factors such as demographics, purchasing behavior, and preferences. By understanding different customer segments, the company can tailor marketing campaigns and product offerings to specific groups, leading to higher conversion rates and customer satisfaction. Supply Chain Optimization: BI tools can track and analyze data related to the supply chain, including supplier performance, transportation costs, and lead times. By identifying inefficiencies and bottlenecks, the company can optimize its supply chain processes, reduce costs, and improve delivery times...

How to Choose the Right Software as a Service (SaaS) BI Tool - Before you think about your SaaS options, ask yourself why you should choose an "on-demand" BI tool over the more conventional "on-premises" BI tool. An Easy-to-use BI Solution A SaaS BI tool can be a great solution, especially if you are a BI beginner: No installation - on-demand BI applications require no setup, no overhead, and no wait Web interface and mobile BI - SaaS tools are remotely accessible, meaning they're never further away than the nearest mobile phone No IT knowledge necessary - Everything is off-site, so there's no need to know about OLAP, ETL, data warehouses, etc. Flexible Data Output Options On-demand BI tools offer a robust set of publishing options: Standard publishing formats such as PDF, DOC, XLS, etc. Embed your visualizations in your blog or intranet Share you analysis with colleagues through email...

How Do Machine Tool Companies Use BI Software? - Machine tool companies leverage Business Intelligence (BI) software to enhance decision-making processes, optimize operations, and gain insights into various aspects of their business. Here's a detailed exploration of how machine tool companies can effectively utilize BI software: Performance Monitoring: Production Metrics: BI software helps monitor key performance indicators (KPIs) related to production efficiency, machine utilization, and overall equipment effectiveness (OEE). Downtime Analysis: Identifying and analyzing downtime events can help in optimizing machine uptime and productivity. Supply Chain Management: Inventory Optimization: BI tools assist in managing inventory levels efficiently by providing insights into demand patterns, supplier performance, and material consumption. Supplier Relationship Management: Machine tool companies can use BI to evaluate and monitor the performance of their suppliers, ensuring a reliable and efficient supply chain. Sales and Marketing Analytics: Sales Performance: BI software aids in analyzing sales data, identifying trends, and evaluating the performance of different products or product lines. Customer Segmentation: Companies can use BI to segment their customer base, allowing for targeted marketing strategies and personalized customer interactions...

How Do You Compare InetSoft's BI Tool to Power BI - Comparing InetSoft's BI tool to Power BI involves considering various aspects such as features, usability, pricing, scalability, and overall suitability for different business needs. Here's a detailed comparison: Features and Functionality: Power BI: Power BI offers a comprehensive set of features including data visualization, data modeling, self-service analytics, AI-powered insights, collaboration, and integration with other Microsoft products like Excel, Azure, and Dynamics 365. It supports a wide range of data sources and provides advanced analytics capabilities. InetSoft BI Tool: InetSoft also provides a range of features including interactive dashboards, ad-hoc reporting, data blending, data visualization, and integration capabilities. It offers robust data integration and ETL tools, as well as support for big data and cloud-based data sources. Usability: Power BI: Power BI is known for its user-friendly interface and intuitive drag-and-drop functionality, making it accessible to both technical and non-technical users. It offers extensive documentation and a large community for support...

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How To Deliver A Good BI Application - Today’s Webinar is focused on how to deliver a good BI application the first time and avoid expensive rework and in so doing improving quality. Today, we will share our experiences helping companies implement a repeatable and successful delivery process including real life examples where implementation of agile BI delivery methods have resulted in productivity gains of 66% within two release cycles. The structure of the Webinar today will be focused on the number of areas. First, we will talk about motivation, so why should we embrace Agile BI methods. We’ll talk about the common problems with the old school approach of waterfall methods. We’ll talk about this theory and the practice of Agile BI. And we’ll talk about ways to automate parts of the delivery process. If you think about even “small” data warehousing projects, there are going to be at least 3-5 source systems. Those source systems might have 30 or so tables. Each one of those tables may have 30 or so columns. You can see that very quickly the number of data elements is going to explode. In this case if you do the math we are talking about 4,500 data elements, but the trick is if you really think about it there are probably only 100 to 150 data elements that really are important to the business. If we can identify what those key business elements are then perhaps we can turn the delivery cycle around a bit and deliver those items based on business priority...

How Organizations Are Using BI - What will really impact how organizations are using BI? Next gen BI is going to be more automated, and it’s going to be more pervasive. It is going to be more unified because today an organization can have lots of different BI tools addressing different components of business intelligence. Lastly it is going to be limitless. Traditional BI tools have presented too many limitations. These are the changes that will make a big impact on BI adoption and penetration. Speaking specifically about automation, all of those steps of preparing for BI up to creating a data warehouse, that’s typically eighty percent of the work. And 80% of that work is concentrated on just finding the data that is needed, before it can even be transformed, if necessary, before it can be integrated with other data sources. So if you take 80% of the 80%, that’s 64% of the entire effort that is completely un-automated. That’s an area for BI vendors to help out with technologies that are very similarly to search technologies. Rather than relying on human knowledge of experienced people who just know where the customer table is, where the products table is, there will be technology that is similar to search technology which crawls all of the data out there to discover new bits in the enterprise that would be valuable to business users...

How to Perform Data Mashup for Comprehensive Analytics in Higher Education - A data mashup can provide a thorough view of what's happening within higher education institutions and show what people should change to maintain the best student outcomes. Since a data mashup combines information from multiple sources into one platform, it can help people uncover trends and identify actionable steps faster than they otherwise might. However, getting the best results from data-mashing efforts requires following a particular process. Administration leadership must start by determining what they want to achieve by creating the data mashup. One smart way to narrow down the possibilities is to consider how they're already used in higher education. A business intelligence dashboard is one of the most common types. Higher education professionals use BI platforms to identify high-risk students who may only graduate with extra support. In contrast, the data could highlight characteristics shared by the happiest or best-performing learners. Considering stakeholders' expectations can also help set meaningful goals for a data mashup. Would they care more about student retention, attracting new learners or something else? Narrowing down the top data mashup objectives helps people stay on track throughout the process...

How Would a Resort Management Software Solution Customize Its Business Intelligence Features? - A Resort Management Software (RMS) solution can greatly benefit from customized business intelligence (BI) features to enhance its overall efficiency and decision-making processes. Here are several ways in which a resort management software can tailor its BI features: Guest Analytics: Personalization: Customize BI to analyze guest preferences, behaviors, and demographics. This data can be used to personalize guest experiences, recommend services, and improve overall satisfaction. Loyalty Programs: Implement BI tools to track and analyze the effectiveness of loyalty programs. Assess which incentives and rewards are driving customer loyalty and adjust programs accordingly. Revenue Management: Dynamic Pricing Analysis: Utilize BI to analyze market trends, demand patterns, and competitor pricing to optimize room rates dynamically. This ensures maximum revenue during peak times and attracts guests during low-demand periods. Channel Performance: Evaluate the performance of different booking channels through BI to identify the most profitable ones. Adjust marketing strategies based on the data to maximize revenue. Operational Efficiency: Resource Utilization: Customize BI to monitor the utilization of resources such as staff, amenities, and facilities. Identify peak operational times and allocate resources efficiently to improve service quality. Maintenance Planning: Implement predictive analytics through BI to schedule preventive maintenance for facilities and equipment. This reduces downtime, enhances guest satisfaction, and extends the lifespan of assets...

Learn the advantages of InetSoft's small footprint BI platform.

Increase Agility with Traditional BI Infrastructure - There is another way to increase agility with traditional BI infrastructure. It is probably a more expensive and more difficult to do, but is also one of the low hanging fruit that we have seen our clients deploy is that even they have a very heavy investment in the entire environment right, both ETL data warehouse and BI. Let’s say you have thousands and thousands of canned report that you really can’t give up. You can’t really think about re-writing them in a different tool using a different technology, then switching your data warehouse architecture would be a low hanging fruit. You could keep all of your SQL. You can keep all of your queries and not change them. Just switch your row type relational database to a columnar type relational database. SQL will still work, and basically they are migrating from one database platform to another. All of a sudden your queries run faster, and you are tuning for query optimization. Your requirements for tuning, for query optimization, and physical data modeling all of a sudden really becomes much, much less significant...

Increasing Adoption of BI Software with Better Integration - The next big tip in increasing adoption of BI software is better integration. If you want to break down barriers and silos, you can't live in an environment where people operate in silos. It needs to work with your existing security environment. May be you can embed it into an existing enterprise application, into your Internet portal, or a share point environment that you have and everybody uses for all the document collection. I think a big way to increase integration is really using notifications and alerts that are sent straight to your inbox. So, here's an example of such an alert that I received to my inbox about two days ago, and what you can see here is, for example, is that day four has an increase in downtime, and I can immediately see that behavior. I can click on that link and go to the dashboard and further investigate what's going on here. So, it's a great way to be a bit more proactive versus constantly having to remember to log into a dashboard and consume the information. You can also set up a reminder to check your numbers whenever new data comes in or every Monday at 8:00 a.m. before your management meeting...

View live interactive examples in InetSoft's dashboard and visualization gallery.

InetSoft Rated as a Top BI Vendor - InetSoft Technology has recieved favorable ratings in Gleanster’s customer review based research on Agile Business Intelligence (BI). The 38-page report provides insights into best practices in applying agile BI to improve business decision-making, based on the experiences of 367 organizations. The report introduces the concept of agile BI, outlines the reasons to implement it, and explains how organizations are maximizing the value of their investments. Challenges, best practices around performance metric tracking, and success stories are shared. The final section consists of a BI vendor landscape complete with Gleanster analyst commentary. For the four major categories of customer review -- ease of deployment, ease of use, features and functionality, and overall value -- the top 15 solution providers are ranked and organized into good, better, and best groupings. InetSoft rated among the five best BI providers for the ease of use dimension, in the top ten for the ease of deployment dimension, and in the top ten across all four categories, earning the distinction as a leading agile BI provider, according to Gleanster survey respondents...

InetSoft vs Birst Comparison - When deciding which business software is best, the choice may be rather difficult. Both InetSoft and Birst provide effective business intelligence tools. However, when recently placed head to head in ratings by research firm G2 Crowd, InetSoft won in a majority of categories. In addition, InetSoft won over 85% of individual ratings. Below is a breakdown of the various categories in which InetSoft outranked Birst...

InetSoft vs MicroStrategy Comparison - InetSoft is one of the best Business Intelligence vendors on the market, an all around BI platform that offers actionable insights for business users at thousands of organizations worldwide. InetSoft Style Intelligence's ratings on G2 Crowd attest the excellency of the Style Intelligence data platform and the eminent support services that follow-up. Style Intelligence recently subdued Microstrategy in a assortment of fields on G2 Crowd...

InetSoft vs Oracle BI Comparison - G2 Crowd is a Chicago based company that provides reviews on other companies' software products, targeting the CRM and marketing automation markets. It prides itself on being an unbiased platform where real users share their feedback. Data from peer reviews, web traffic, and other social media data from LinkedIn, Twitter etc. are fed into a formula that gives more weightage to peer reviews over the others. The ratings are categorized based on the visual, analytical, procedural and advanced capabilites of the software. Here is a synopsis of InetSoft's Style Intelligence ratings as it compares to those of Oracle BI...

“Flexible product with great training and support. The product has been very useful for quickly creating dashboards and data views. Support and training has always been available to us and quick to respond. - George R, Information Technology Specialist at Sonepar USA

InetSoft vs Pentaho Comparison - InetSoft has been providing unrivaled business intelligence solutions since 1996, InetSoft's Style Intelligence is an highly recommended BI product on the market, a very agile business intelligence tool that users from all around the world recognize as one of the bests visualization dashboard software on the market. Users assessments on G2 Crowd latterly endorse the superiority of Style Intelligence over Pentaho. From the logical to the level of security model, from data mashups ability and capability to customization capability, users reviews on G2 Crowd display Style Intelligence's qualities of being better than Pentaho...

InetSoft vs Panorama Necto Comparison -So how does InetSoft's Style Intelligence weigh against Panorama Necto? From the latest G2 crowd ratings, it is pretty impressive. InetSoft has received rave reviews from a majority of its users and beats Necto hands down in 94% of individual ratings. Style Intelligence has been lauded for its robustness and described as a complete and powerful go-to tool for data analysis...

InetSoft vs Tableau Comparison - Looking to see how InetSoft's solution stacks up against Tableau Software? Peer-to-peer business solutions review platform G2 Crowd has released its ratings of BI vendors and InetSoft has scored impressively, beating Tableau in the majority of ratings. InetSoft beat Tableau in 6 out of 7 general categories: It's capacity to Generally Meet Requirements, Ease of Use, Setup, and Administration, Quality of Support and Ease of Doing Business With. None of these ratings come as a surprise to anyone who's experienced InetSoft's versatility and commitment to its customer base...

InetSoft vs ThoughtSpot Comparison - Selecting Business Intelligence (BI) solutions for any organization is hard, risky, and inherently biased. It is made easy by the G2 Crowd review platform with its real-time, transparent and unbiased user reviews. This helps an organization to objectively assess what is best by leveraging the wisdom of the crowd, limiting the risk, and finding out what works. The reviews are validated by G2 Crowd thereby helping organizations make better buying decisions...

Learn about the top 10 features of embedded business intelligence.

Informatica BI Tool - Looking for a good BI tool for Informatica? InetSoft's pioneering dashboard reporting application makes producing great-looking web-based reports and dashboards easy with a drag-and-drop designer and the ability to connect to all your data sources. Maximize self-service for all types of users. View a demo and try interactive examples...

Integrate, Report, and Analyze Data Any Way You Want - Well let’s create a globally consistent way to integrate, report and analyze data and then just open up lots of local franchises throughout the company in either the sales, service, marketing, HR, finance or some of the different lines of business units. And then by bringing it to the local market it’s going to be more responsive. It’s going to have more domain expertise, but there is still a sort of global consistency. So that might be more right for a more centralized self-service BI approach. Now I have seen other folks, and a lot of manufacturers come to mind who tend to be very decentralized, base their BI strategy upon lines of business units. They wanted to be even more decentralized, and they almost had what I would almost view as a bottoms-up approach where essentially the different departments get to do whatever they want. They can integrate, report and analyze data any way they want, and they had full autonomy and full control. And the job of the centralized team is really just to kind of watch what the decentralized teams are doing, and when they are doing something really useful, identify that and promote that, and disseminate that out to the other departments and say hey, this team over here is doing something really cool, let’s make this more widely available to other aspects of our enterprise...

Integrating Spark into the BI Application - To avoid the aforementioned problems, the key is to break down the barrier between Spark and the BI tool. Instead of relying on the JDBC/ODBC interface, we completely fused Spark into Style Intelligence. The following is a high-level view of the integration. All interactions between Style Intelligence and Spark are through the native API. Spark becomes a native part of the product. Data inside a cluster can be accessed through Spark SQL using SQL-like queries, or directly as files or data connectors provided by the data stores. Unlike JDBC, data is not retrieved from Spark until it has finished all processing and is ready to be presented to users. Equally importantly, data processing jobs normally performed by BI tools are also pushed into the cluster. For example, to join the result of a Spark SQL query with an in-memory table, the in-memory table is pushed into the cluster, and the join is submitted to the InetSoft execution engine embedded in the Spark nodes. Data already residing in the cluster is never moved...

Read what InetSoft customers and partners have said about their selection of Style Scope for their solution for dashboard reporting.

Intuitive Self-service BI - While InetSoft has been providing reporting software for fourteen years, our BI platform, Style Intelligence has been in the market for four years now. The adoption rate is growing. And part of the reason is because of the feedback we are receiving from customers so along the lines of this: they start to put the software into the hands of certain people in one department, others start to see the use of that dashboard and reporting tool by their colleagues, and then the usage grows in a kind of viral fashion because there is really no training involved. The way an end user can easily explore and understand their own data without IT involvement is very compelling for those co-workers. So that tends to spread to others. It’s easy to access the application since it’s Web based, and all that is needed is a browser. You just need a to make simple request to IT to get permissions, and then soon you could be exploring your own data. So it has a very viral spreading effect in organizations, and we have seen that kind of intuitive simpleness really appealing to end users that otherwise have struggled with traditional BI tools...

Click this screenshot to view a 2-minute demo and get an overview of what InetSoft’s BI dashboard reporting software, Style Intelligence, can do and how easy it is to use.

iPad Business Intelligence Dashboards - Since 1996, InetSoft has been delivering business intelligence solutions to developers and enterprises worldwide. InetSoft's Style Intelligence™ has always been mobile friendly. Style Intelligence employs a deploy everywhere approach. It depends on the level of interactivity and frequency of use; you might prefer to design an iPad version of a dashboard that had originally been created for the desktop. You can customize it for all of your enterprise, for all users. It's easy, agile, and robust. The proliferation of mobile devices has grown in enterprises across the country. For as many new devices there are available, the application for our software in any industry is limitless. Here are some examples of popular applications of business intelligence being used in a mobile environment...

Justice Department BI Example - The Department of Justice (DOJ) is responsible for securing the safety of American citizens by prosecuting crime and protecting civil rights. The DOJ is comprised of many agencies that rely heavily on data analysis, such as Bureau of Alcohol, Tobacco, Firearms and Explosives (ATF), Federal Bureau of Investigation (FBI), and Drug Enforcement Administration (DEA). Business Intelligence is key to understanding patterns of crime as well as social trends such as recreational drug use or gun ownership that, while not illegal, may have widespread impacts on citizens' safety, and which have historically been attractive areas for organized crime. For example, DEA tracks a number of aspects related to the illicit use of fentanyl, including methods of synthesis and common additives (https://www.dea.gov/documents/2022/2022-08/2022-08-22/cy-2021-fentanyl-profiling-program-fpp). Business Intelligence analysis such as this allows the agency to stay abreast of changing pattern of drug usage, inform the public of present dangers, and strategically target enforcement actions.

Key Requirements for Mobile BI - Based on our experience with earlier customers I want to lay out five key requirements for mobile BI based on an overall theme that mobile BI users expect freedom. I won’t go into core business intelligence requirements here. Instead I want to focus specifically on mobile BI capabilities that must exist for any BI solution to be successful, in meeting mobile BI user requirements...

Key Requirements for Mobile BI Continued - Business users also want the freedom to explore the information however they want. In terms of drilldown, I think you need to provide the ability to drill anywhere, allow them to search, drill, filter, sort in essence explore the data, the way their mind works. Don’t constrain them with limited drill pads. Allow them the freedom to pursue the insights wherever they are, without having to wait for a new report or a dashboard to be created for them...

Kubernetes Implementation Helps BI Deployment - InetSoft's business analytics and dashboarding platform includes a built-in implementation of Kubernetes. This greatly facilitates the installation and management of the platform. This is due to: Automated, consistent, and repeatable deployment of containers Automatic scaling of containers Automatic system and resource management, including storage, networking, and security Automatic failover as non-responsive cluster nodes are automatically restarted. Examples of BI Dashboards Built with InetSoft's Kubernetes-based Solution...

Lessons for Creating a Successful BI Application - Well, the first lesson is just recognizing how important business intelligence is to giving companies a competitive advantage. So really, just first off, being creative about what problem can business intelligence solve. And let’s be clear, business intelligence is not only for for-profit companies, it's also for nonprofits, and agencies, service industries, where really they just need to be able to operate more efficiently. So I think some of the most interesting insights to me was one that I call “relevance.” This means taking the current process of defining requirements where usually the IT professionals will ask the business what they need, and instead flip it on its head. It's really studying what our workers are doing, what information do they need to do their job more efficiently, and it’s providing that information to them in a way that’s easy, that’s accessible and integrated into their work process. Another lesson has to do with the Business-IT partnership, and unfortunately, still in many companies, there is a huge disconnect between these two stakeholders. And when there is not a partnership between the business and IT, you really can't be successful with business intelligence. In that case, it's really just a point solution and something that will only have moderate success...

Live BI Dashboard Deployments - In the past we had live BI dashboard deployments where you could exactly copy things that you have built out into a remote environment. Now we support multiple environments right here within Style Studio so I can easily switch over to my production server or to the development server. And so using a development server directly, the left hand side now updates to show me additional sources that are defined in that environment, and I can also connect directly to that remote report repository. So here I can open up a report from the development server’s repository, right here within Style Studio, any changes that I make and save will be saved directly back to the server. And so that this is a really good way to do a live development, or make some quick changes based on an issue or some requests that’s come out for a change without having to go through a full development and deployment cycle. Additionally, when I have a report, I can basically save the report either as a file and this is the whole behavior as an SRT and then manually deploy that report out, or I can also save it back into the repository automatically creating a new entry, and so it can be run from the Web interface. And lastly, when I deploy this report, my deployment dialog now has two options, either deploying out to a repository, for example, deploying from the development server to the production server...