Intuitive Operational Business Intelligence

InetSoft focuses on operational business intelligence with an intuitive user interface that accelerates usage of BI. Requirements as diverse as reporting, OLAP, scorecards, dashboards, visualization, and ad hoc analysis are all met in a unified application that allow for real-time analysis and decision making.

  • Explore data with self service solutions - The visualization driven approach of InetSoft allows users to perform their own reporting and analysis with very little IT support. By using familiar graphical objects and an intuitive Web 2.0 interface end users are empowered to easily explore, manipulate, and display data to gain new insights.

  • Connect easily to existing data sources - With its Data Block technology, InetSoft simplifies the process of accessing data. Users can retrieve information from data warehouses, transactional databases, or other sources regardless of whether they are stored as relational databases, XML, flat files, etc. This data can then be dynamically mashed-up, manipulated, and transformed as Lego like data assets.

  • Meet your ROI goals - InetSoft has flexible pricing models that allow you to deploy a solution that accommodates your unique situation. InetSoft's architecture provides a total BI solution within one unified application.  However, if your needs dictate, deploy just the components that you need.
  • Scale to meet the needs of the organization - Built upon open J2EE standards our application provides a solution that incorporates clustering, load balancing, and failover to provide high availability and quick response time. Additional features such as page streaming, data caching, and performance tuning ensure optimal operation as your needs increase.
#1 Ranking: Read how InetSoft was rated #1 for user adoption in G2's user survey-based index Read More

Why Operational Business Intelligence?

Business intelligence can help companies make better decisions by showing present and historical data within their business context. Analysts can leverage BI to provide performance and competitor benchmarks to make the organization run smoother and more efficiently. Analysts can also more easily spot market trends to increase sales or revenue. Used effectively, the right data can help with anything from compliance to hiring efforts. A few ways that business intelligence can help companies make smarter, data-driven decisions:

1. Identify ways to increase profit
2. Analyze customer behavior
3. Compare data with competitors
4. Track performance
5. Optimize operations
6. Predict success Spot market trends Discover issues or problems

What Is Marketing Operational Business Intelligence?

Marketing operational business intelligence is the use of data and analytics to gain insights into marketing operations and improve business performance. It involves the collection, processing, and analysis of data from various sources to provide actionable insights and recommendations for marketing strategies, campaigns, and operations.

The main goal of marketing operational business intelligence is to help businesses make data-driven decisions that improve marketing effectiveness, increase revenue, and reduce costs. It involves the use of various tools and techniques, such as data visualization, reporting, predictive analytics, and machine learning, to extract insights from data.

Some of the key areas that marketing operational business intelligence can help with include:

  1. Customer Segmentation: Understanding customer behavior, preferences, and needs to identify target markets and create personalized marketing strategies.

  2. Campaign Optimization: Evaluating the effectiveness of marketing campaigns and optimizing them for better performance.

  3. Performance Monitoring: Tracking key performance indicators (KPIs) to measure the success of marketing efforts and identify areas for improvement.

  4. Marketing Automation: Using data and analytics to automate marketing processes and improve efficiency.

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More Articles About Operational Business Intelligence

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Analytics Used by Vendor Analysts - Analytics is the practice of analyzing data to understand how well a company is doing. Analytics are used by vendor analysts to examine data from a variety of sources, including as sales data, customer data, and market data. Vendor analysts use a number of important analytics, such as: Sales Analytics: Sales analytics is the process of examining sales data to learn more about customer behavior, sales patterns, and revenue growth. Sales analytics are a tool that vendor analysts use to assess a vendor's sales methods and locate chances for revenue development...

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Building an Operational BI Dashboard - You don't want them the IT coming in and saying, "Well, here it is," and the customer service rep saying, "Well, this doesn't do what I need. It complicates my processes." There is nothing worse than having IT declare that I know better than you do, businessperson. And there are some other things, for example, understanding and documenting the business process before building an operational BI dashboard...

Dashboards for Data Operations Professionals - KPIs are quantitative measurements that are used to assess an organization's or a person's performance. KPIs in the context of data operations may assist data operations experts in determining areas for improvement or strong performance. Some of the most popular KPIs used by data operations experts are listed below. Data consistency, reliability, and error-freeness are gauged by data correctness. Inaccurate data may result in inaccurate conclusions and judgments, which can have serious repercussions for a company. Data correctness may be measured by data operations experts using KPIs like data error rates, data completeness, and data consistency...

Evaluate InetSoft's Organization Report Tool - Looking for good organization report tools? InetSoft's pioneering dashboard reporting application produces great-looking web-based and pdf reports 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. Integrating a powerful and sophisticated database like Hyperion Essbase into your business intelligence software can become a hassle and disruptive process...

Examples of Department BI Dashboards - Looking for department BI dashboards? InetSoft's industry pioneering BI platform can support any department's business intelligence needs. View examples in the showcase, read articles about its capabilities below, and request a personalized demo. These customer executives make sure that every customer can present their queries and problems before the company. Most of the work takes place over the telephone...

why select InetSoft
“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

Job of Sales Operations Analysts - Key performance indicators (KPIs), trends, and sales data are measured and analyzed by sales operations analysts. They are essential in fostering corporate development by offering perceptions and suggestions that boost sales results. We will examine the KPIs and analytics used by sales operations analysts to assist companies in achieving their sales objectives in this post. Any firm that depends on sales must have sales operations. It serves as the foundation of the sales department and is in charge of making sure all operations linked to sales function smoothly...

KPIs for Airline Operations - One of the most important KPIs for airlines is OTP. It calculates the proportion of flights that reach their destination on schedule. OTP is a critical component of customer satisfaction and is used by airlines as a gauge of their performance and dependability. An airline that continuously has a high OTP is more likely to draw in new passengers and keep up a good reputation...

Learning About Marketing Metrics - Take the depth and breadth of information assimilated through your marketing campaigns and harness the intuitive agility of InetSoft's robust software available to you as a campaign dashboard. Over the years, InetSoft has continued to meet the demands of the BI field to bring the best and latest software service tools to the market with on-demand, flexible and embedded features, it makes InetSoft a one-stop-shop for all your operational needs...

Project Schedule KPIs - Project analysts may gauge a project's progress in relation to its initial timeline with the use of project schedule KPIs. The most typical scheduling KPIs are as follows: Schedule Variance: The difference between the actual schedule and the intended timetable is measured as schedule variance. This KPI aids project analysts in identifying any schedule delays or accelerations. Schedule Performance Index: The project schedule's effectiveness is measured by the schedule performance index. This KPI aids project analysts in determining if the project is on time or behind...

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Security intelligence Analytics - Security intelligence analysts use a variety of analytics in addition to KPIs to spot possible risks and weaknesses. These are a few of the main analytics they employ: Reviewing logs from different systems, including servers, firewalls, and intrusion detection systems, is part of log analysis. The security posture of the company, including any possible weaknesses and suspicious activities, may be better understood with this data...

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What Changes Come From Operational BI? - So we need to understand how they interface with the technologies, for example, do they now use the Internet or Intranet? Do we need to create portals and dashboards that bring together the operational data as well as the operational BI results? How will this be used to create this business solution that's needed by the users...

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Why is Data Friction a Challenge? - Due to the exponential expansion in the amount, variety, and velocity of data being created today, data friction is a major barrier for organizations. In fact, it is predicted that the amount of data produced worldwide would increase to 175 zettabytes by 2025 from 33 zettabytes in 2018. Organizations must have a reliable method for managing and using the massive amounts of data that are created and processed in order to advance their company...