InetSoft's Dynamic Reporting Software for Business and Operations Intelligence

InetSoft's dynamic reporting software allows companies to access and “mash-up” both dynamic and historical data from disparate sources on-demand in a collaborative environment.

InetSoft empowers many more users across the enterprise with the information they need. Dynamic reports are assembled on the fly and calculated from the live data streaming through your data warehouse or operational databases.

Because it is built on a zero-client, open standards platform, InetSoft's reporting software simplifies the integration process, reduces the burden on IT, and lowers the total cost of ownership. A professional authoring tool combines word-processing grade design with dynamic data manipulation.

#1 Ranking: Read how InetSoft was rated #1 for user adoption in G2's user survey-based index Read More

It enables professionals to develop sophisticated reports by using simple business reporting software a departure from the traditional requirement of using custom programming.Key benefits include:

  • Deliver professional, high fidelity presentation
  • Transform and manipulate raw data
  • Embed business logic with scripting
  • Enhance manageability and agility

You can deliver on-demand reports on the Web. In-report exploration capabilities empower business users with the ability to reshape information in real time. Key benefits include the ability to:

  • Gather up-to-the-minute information
  • Reshape reports in real time
  • Minimize performance bottlenecks

InetSoft’s HTML5 powered Web 2.0 technology brings a desktop grade Web user experience to ad hoc query and reporting. Key benefits are:

  • Extend professionally designed reports
  • Gather information by self service queries
  • Produce presentation quality reports on the Web
why select InetSoft
“We evaluated many reporting vendors and were most impressed at the speed with which the proof of concept could be developed. We found InetSoft to be the best option to meet our business requirements and integrate with our own technology.”
- John White, Senior Director, Information Technology at Livingston International

About InetSoft

Since 1996 InetSoft has been delivering easy, agile, and robust business intelligence software that makes it possible for organizations and solution providers of all sizes to deploy or embed full-featured business intelligence solutions. Application highlights include visually-compelling and interactive dashboards that ensure greater end-user adoption plus pixel-perfect report generation, scheduling, and bursting.

InetSoft's patent pending Data Block™ technology enables productive reuse of queries and a unique capability for end-user defined data mashup. This capability combined with efficient information access enabled by InetSoft's visual analysis technologies allows maximum self-service that benefits the average business user, the IT administrator, and the developer. InetSoft solutions have been deployed at over 5,000 organizations worldwide, including 25% of Fortune 500 companies, spanning all types of industries.

BI Customers

What Dynamic Reporting Metrics Does Analyst in the Power Generation Industry Use?

Analysts in the power generation industry leverage a wide range of dynamic reporting metrics to monitor, analyze, and optimize various aspects of power generation operations. These metrics provide valuable insights into the performance, efficiency, reliability, and sustainability of power generation processes. Here are some key dynamic reporting metrics that analysts commonly use in the industry:

  1. Capacity Factor: The capacity factor represents the ratio of actual power output to the maximum potential output of a power plant over a specific time period. It reflects the plant's operational efficiency and utilization. Analysts track capacity factors to ensure optimal utilization of resources and identify periods of underperformance.

  2. Heat Rate: Heat rate is the ratio of fuel energy input to the electrical energy output of a power plant. It indicates the plant's fuel efficiency and overall energy conversion efficiency. Monitoring heat rates helps analysts identify opportunities to reduce fuel consumption and increase efficiency.

  3. Emissions Metrics: Analysts closely monitor emissions metrics, including carbon dioxide (CO2), sulfur dioxide (SO2), and nitrogen oxides (NOx). These metrics are crucial for environmental compliance and sustainability efforts. Dynamic reporting of emissions helps in real-time monitoring and reporting to regulatory bodies.

  4. Availability and Reliability Metrics: Availability metrics, such as the availability factor and forced outage rate, provide insights into how often a power plant is operational and how frequently it experiences unplanned downtime. These metrics help analysts assess plant reliability and identify areas for improvement in maintenance practices.

  5. Load Factor: Load factor represents the ratio of the average load to the maximum load a power plant can handle. It helps analysts understand how consistently the plant operates at its designed capacity. A high load factor indicates efficient operation, while a low load factor might suggest underutilization.

  6. Fuel Consumption Metrics: Analysts track fuel consumption metrics to understand the amount of fuel required to generate a unit of electricity. This information is crucial for cost analysis, budgeting, and optimizing fuel usage to minimize operational expenses.

  7. Maintenance Metrics: Dynamic reporting of maintenance metrics, such as mean time between failures (MTBF) and mean time to repair (MTTR), helps analysts assess equipment reliability and maintenance efficiency. These metrics aid in developing proactive maintenance strategies and minimizing downtime.

  8. Renewable Energy Metrics: For power plants incorporating renewable energy sources like solar or wind, analysts monitor metrics such as solar irradiance, wind speed, and energy output. These metrics ensure optimal utilization of renewable resources and support the integration of intermittent energy sources into the grid.

  9. Efficiency Metrics: Efficiency metrics, such as thermal efficiency and overall plant efficiency, provide insights into how effectively a power plant converts fuel into electricity. Analysts use these metrics to identify opportunities for efficiency improvements and process optimization.

  10. Cost Metrics: Cost-related metrics, including operating costs, maintenance costs, and fuel costs per unit of electricity generated, help analysts manage budgets and optimize financial performance.

  11. Voltage and Frequency Stability: Analysts track voltage and frequency stability metrics to ensure that the power generated matches the grid's requirements. Deviations from standard voltage and frequency levels can impact grid stability and quality of power supply.

  12. Operational KPIs: Analysts create dynamic reports for various operational key performance indicators (KPIs) such as start-up time, shutdown time, ramping rates, and response to demand changes. These KPIs help evaluate the plant's flexibility and responsiveness to grid demands.

  13. Environmental Impact Metrics: In alignment with sustainability goals, analysts report metrics related to water usage, waste generation, and other environmental impacts associated with power generation.

top ranked BI
Read how InetSoft was rated as a top BI vendor in G2 Crowd's user survey-based index.

What Operational KPIs Are Used in the Power Generation Industry?

Operational Key Performance Indicators (KPIs) are critical metrics used in the power generation industry to assess the efficiency, reliability, and overall performance of power plants and facilities. These KPIs provide insights into various operational aspects and help guide decision-making to optimize processes and achieve operational excellence. Here are some key operational KPIs commonly used in the power generation industry:

  1. Availability Factor: The availability factor represents the ratio of the actual operating time of a power plant to the total possible operating time. It indicates the percentage of time the plant is available for generation, considering planned and unplanned downtime.

  2. Forced Outage Rate: This KPI measures the frequency and duration of unplanned outages due to equipment failures. It helps assess the reliability of the power plant's components and systems.

  3. Planned Maintenance Downtime: This KPI tracks the time allocated for planned maintenance activities, such as equipment inspections, repairs, and upgrades. Minimizing planned downtime while ensuring effective maintenance is crucial for optimizing operational efficiency.

  4. Start-up Time: Start-up time measures the duration it takes for a power plant to go from a cold or standby state to full operation. Faster start-up times enhance the plant's flexibility and responsiveness to grid demand fluctuations.

  5. Shutdown Time: Shutdown time measures the time required to shut down a power plant's operations. Efficient shutdown processes contribute to minimizing downtime and maximizing operational availability.

  6. Ramping Rate: Ramping rate indicates how quickly a power plant can increase or decrease its output in response to changes in grid demand. Higher ramping rates enhance the plant's ability to support grid stability and adapt to variable energy sources.

  7. Load Factor: Load factor represents the ratio of the average load to the maximum load a power plant can handle. It reflects how consistently the plant operates near its capacity, indicating optimal utilization of resources.

  8. Fuel Utilization Rate: This KPI measures the efficiency of fuel utilization by calculating the energy output per unit of fuel input. A higher fuel utilization rate signifies better energy conversion efficiency.

  9. Specific Fuel Consumption: Specific fuel consumption measures the amount of fuel required to generate a unit of electricity. Lower specific fuel consumption indicates better efficiency in converting fuel to power.

  10. Emissions Intensity: Emissions intensity calculates the amount of greenhouse gas emissions produced per unit of electricity generated. Reducing emissions intensity aligns with environmental sustainability goals.

  11. Reliability Indices: Indices such as the System Average Interruption Frequency Index (SAIFI) and System Average Interruption Duration Index (SAIDI) quantify the frequency and duration of power supply interruptions, respectively.

  12. Response to Demand Changes: This KPI assesses how quickly a power plant can adjust its output to match changes in grid demand. A quick response contributes to grid stability and efficient load management.

  13. Energy Losses: Energy losses occur during the transmission and distribution of electricity. Monitoring energy losses helps optimize grid efficiency and reduce wastage.

  14. Operational Flexibility: This KPI evaluates the plant's ability to adapt to varying operating conditions and demand profiles. High operational flexibility supports grid stability and accommodates renewable energy integration.

  15. Water Usage Efficiency: For plants using water for cooling, water usage efficiency measures the amount of water used per unit of electricity generated. Efficient water usage is crucial for sustainable operations.

  16. Generation Mix: This KPI tracks the composition of energy sources used for power generation, including the percentage of renewable, fossil fuel, and nuclear energy sources.

  17. Maintenance KPIs: These include metrics like Mean Time Between Failures (MTBF) and Mean Time To Repair (MTTR), which indicate equipment reliability and maintenance efficiency.

  18. Health and Safety Metrics: Metrics related to employee safety, incidents, and adherence to safety protocols are essential for maintaining a safe working environment.

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

More Articles Related to Dynamic or Real-time Reporting

Balance Self-Service Analytics With Governance - But, of course, IT increasingly needs to be looking at data governance, BI performance, how they can balance this flexibility of the user, the self-service analytic environment with governance. This is playing out as well in the development and deployment of embedded BI systems as well as BI platforms. It's how they create that correct balance because it's more sophisticated...

Beneficial Tools for Data Illustration - Charts and graphs can help organize information into useful visualizations that can better help the user understand the data. Sliders help isolate a specific range in the data that the user can customize for whatever they are particularly looking for. Gauges are a popular way to display data, often paired with dynamic KPI's. Drop-down menus can be created to isolate particular variables being displayed on the dashboard...

Dashboarding Features for Healthcare - Style Intelligence offers various dashboarding and reporting options for organizations to create and build a wide range of visual analytics. SI's features include the ability to create multi-dimensional charts, where users can make charts or graphs with measures in a variety of ways, including size, shape and color. This kind of multi-dimensional charting is perfect for...

Drilling Down into the Medical Dashboard - In this medical dashboard example we have opened up a table of specific and relevant data. We are looking at the mortality stats for 35-44 year old Men of Asian or Pacific Islander ethnicity. The columns have been sorted to count down from the cause of the most deaths to the least. This is the "View Details" tool. It can be extremely helpful when trying to take...

Evaluate InetSoft's Reporting and Dashboard Development Tool - Looking for a good reporting and dashboard development tool? InetSoft's pioneering dashboard reporting application produces great-looking web-based dashboards with an easy-to-use drag-and-drop designer. View a demo and try interactive examples. Each of these features increases efficiency by taking the burden off the administrative staff...

Read how InetSoft saves money and resources with deployment flexibility.

Evolution of Report Development Speed - So if you are not delivering as an IT team or a business person involved with IT for reporting and analytics and so forth, if you are not delivering to your end users tools and technologies that work as you say Google fast and Apple easy, then you are going to get blowback, you are going to get shadow IT, you are going to get all kind of things happening, right...

Good Weekly Dashboard Reporting Software - Are you looking for good weekly dashboard reporting software? InetSoft's pioneering dashboard reporting application produces great-looking web-based dashboards with an easy-to-use drag-and-drop designer. Maximize self-service for all types of users. No dedicated BI developer required. View a demo and try interactive examples...

Information about InetSoft's Interactive Dashboard Software - Learn about the dashboard capabilities of InetSoft's powerful and interactive business software. The dashboard designer lets you embed filter lists, range sliders and date selection calendars. Clicking on a chart lets you zoom in, show details, or brush to see related data in other charts. Visit the Style Scope product page to learn more, see examples, view a demo, and read customer reviews...

Learn about the top 10 features of embedded business intelligence.

JavaScript Report Data Access - Another asset that sets InetSoft's JavaScript Reporting Framework apart from the rest is the easy access to almost any open database format-specifically any relational database via Java database connectivity (JDBC), multidimensional databases, XML, SOAP, Java beans (POJO), enterprise Java beans (EJB), flat files, and cloud sources...

More Resources On Visualization Driven Reporting - Cloud Systems with Embedded BI -This is important for these kinds of specialized cloud systems to embed insights. They are beginning to develop another kind of term of art out there as opposed to being just systems of record and business or transactional systems. They are certainly growing around business analytics and BI and so forth. To build out these systems that...

Nimble Business Decision Making - And those goods in translation are things like nimble business decision making. So the information, that's the output of the data warehouse, is also that tangible asset that's coming out of this data supply chain. And executives really want to know at the end of the day, what have I paid, what have I gotten for it, and how has it helped the company strategically. And I think the same principles of a manufacturing supply chain can be applied to those questions as well...

Prompting Users for Variables - The user is prompted for Variables and parameters in the same manner. However, Variables provide additional control over the interface (radio button, menu, etc.) and the set of choices presented to the user. You can use table values as the test values in a filter condition. That is, you can define a filter condition that compares two values in the same row of the table...

Read why choosing InetSoft's cloud-flexible BI provides advantages over other BI options.

Report Making Evolved - The user can take advantage of many report making utilities such as the report navigation toolbar and the report scheduler. The navigation toolbar streamlines access to your data, allowing you to jump around a digital multi-page report quickly. The scheduler, in essence, delivers reports to you on its own. It can email, archive-for-later, print reports daily or even go beyond timed updates and deliver live information based on customized settings...

Resources for Those Tracking Business Intelligence Metrics - Searching for a way to track business intelligence metrics? InetSoft offers an easier to use, easier to deploy BI platform that is also more cost-effective. Read about using InetSoft's BI software. And then there are certain very hard KPIs like warehouse metrics, which are very precise, and there can be grave consequences, if you cross a certain threshold...

Users Want Their Information Fast - And as we have seen in the last few years, not only has the iPad changed the dynamic of how users want to interact with their data and want to interact with information, but Google has also changed the dynamic in terms of the expectations of how fast the users want to get their information. And when you start combining these two things together, the business users have no more patience, business is moving fast, and so the skill level has to be brought down so that anybody can...