InetSoft Product Information: Data Analytic Software

Are you looking for data analytic software? InetSoft offers a Web-based BI platform that can includes easy to use visual analysis tools and is quick to deploy. View a demo. Read customer reviews.

Managing Scoring Models Over Time - One to two-day training is a lot better than six-week training. Talk about models and scoring models and managing different models over time. A lot of these data mining applications can be set up such that the scoring is done automatically. In other words when you apply this algorithm for “next best offer” that sales increase 2.1%, for example, whereas that other model, sales actually decreased to 0.2% or 0.7% or something like that. I am sure some of that stuff can be automated, but what are some of the other best practices around scoring models? Flaherty: Definitely, I think for scoring of models, we have seen a lot of automation and handholding with IT. How can I automate that critical step and avoid any kind of manual intervention? You are trying to reduce the revalidation efforts. I think one critical best practice in terms of database scoring is for where you are trying to take the scoring algorithm and calculate the score of new set of data. The other best practice is how can continuously monitor the performance of your predictive model...

Manufacturing Analytics For Quality Control - Quality control has always been an important aspect of manufacturing. Good quality control can bring lots of benefits to the business, including improving efficiency and cost, increasing customer loyalty, gaining new customers from referrals, and maintaining or improving market position. On the other hand, when things go awry, quality issues can drive up material and labor costs, threaten margins, result in missed orders, and harm business reputation...

Manufacturing Metrics KPI Dashboard - Manufacturing processes generate volumes of data that must be monitored and analyzed for peak performance and efficiency. By observing and analyzing these processes, companies can gain an understanding of the different shifts and trends which progress and hinder their business. This knowledge provides managers with great insight to act accordingly and make decisions in a confident manner...

Maritime Shipping Companies Use Analytics - The world depends on maritime shipping now more than ever. The maritime industry is perpetually devising means of bettering their services without hiking costs. The opportunity to invest in innovations like big data to help them achieve optimum performance is great. Meanwhile, the demand for these innovations and solutions increases rapidly among end-users, including commercial shippers. Maritime shipping companies use analytics or big data in more ways than one, including fraud detection. For instance, when users buy any cryptocurrency on Paybis.com to pay for goods, this solution helps the industry spot potentially fraudulent transactions. 5 Ways Maritime Shipping Companies Use Analytics Every industry is always looking for the best ways to improve their working conditions and enhance the services they offer. Maritime shipping companies are no exception to this as they continue to find ways to improve their services. The maritime industry uses analytics to make better decisions, spot problems early on, address them and improve general performance. Here are five ways maritime shipping industries use analytics...

Marketing Campaign Metrics Dashboard - 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, it's a no-brainer! 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...

Marketing Dashboard Software - Marketing dashboard software is crucial for analyzing a marketing department's leads, progress, and traffic. Software is particularly useful to marketing professionals when it comes to measuring the effectiveness of digital marketing campaigns, tracking the performance of blog posts, external website links, and search engine ranking..

Materialized OLAP Overlays - Materializing an OLAP overlay involves the implementation of a physical data store such as a star schema in place of the OLAP overlay’s logical structure. An OLAP overlay is a low overhead OLAP option, but other data warehouse options may be more suitable under certain conditions such as the following. * Data Mismatch: when data is not in a 1-n relationship from dimension to fact, the remedy is to create data that does satisfy these conditions. * Increase performance: large databases could produce long running queries. A dedicated Data Mart or Data Warehouse can produce the best performance, by physically implementing the OLAP functions. * Snapshot or historic record: a dedicated BI data source can maintain historic snapshots that are detached from the updated transactional database. There are many options available to transform an OLAP overlay into a dedicated business intelligence data store, including materialized views, star schema/snowflake schema, and multi-dimension databases...

Media Companies Use Analytics to Improve Audience Reach - Media is a fast-flowing industry. The rise of social media, IoT, and constant cloud presence is spurring ever shorter spans among viewers and consumers. To stay on top of the game, media companies that produce news, entertainment or marketing content utilize analytics to monitor their audience and target demographic. When use correctly, analytics tools can predict trends, display consumer behavior and interests, and spot shortfalls to allow businesses to stay competitive. Analytics involves taking media data (a.k.a. Statistics or big data) you have collected and studying its trends. It may take time to learn what certain patterns of numbers, times, dates, amounts are telling you. Once you figure out what the data means, you can use it to improve your business. Learning how to evaluate the data you have will lead to better business decisions. For instance, you can keep track of how many people have viewed your video content and for how long. These metrics are highly beneficial if you're a publisher, a digital agency, or even a content creator...

Migration from Legacy Technology to Advanced Analytics - Hopefully this presentation will provide some of those lessons learned for a migration from legacy technology to advanced analytics for anyone who is watching this now or on-demand in the future. Hopefully they can learn to overcome some of those hurdles that you had to overcome to implement this project and benefit from the lessons learned that they can take away from it. The next question is, specific to InetSoft, when you hire technical team members for your team, do you require that they have knowledge of InetSoft beforehand? No, we do not. Originally, in my team we had five, one DBA and four SQL developers. So then we learned InetSoft from there, in doing that we just went through the documentation on the website and we also bring in the educational professional team from InetSoft to come in and teach us and help us to setup the database also do maintenance and upgrades for the first two years. From those two years my team learned from it, and later when we added more team members, we never put on our posting the requirement to know InetSoft, because I believe 99% of the time you don't need to write code, and when you it's either SQL or similar to JavaScript...

Mobile Business Analysis Application - What would be great about a mobile business analysis application is that I could be on the shop floor. I could be in a warehouse. I could be sketching the model over Wi-Fi. I have done a little bit of research, and I found a couple of business analysis applications out there. Some of them are absolutely terrible, but some are starting to show signs that there is value in the workplace. Now if you look at some of the technologies, and you were to come up with the applications that are organizations are using on the iPad, there is absolutely an opportunity for organizations to start thinking about a requirements management app on an iPad, a Playbook, whatever your tablet of choice is. I think if you’re not doing it, you should be doing it. It would make an analyst’s life a lot easier. It would make our customers’ lives a lot easier, and quite frankly I think it would foster a higher degree of collaboration. So it’s not a bad idea. If you are out there, and you are thinking about it, and you’re doing it now, let me know. I’d love to see what it looks like. I would love to have you pilot test it...

Modern Analytics Ecosystem - For an organization to remain competitive, the capacity to make defensible judgments using this data is essential. This is where a contemporary analytics ecosystem is useful. A contemporary analytics ecosystem is a full-featured platform that allows businesses to gather, handle, analyze, and display data in order to derive insightful conclusions. The details of a contemporary analytics ecosystem are covered in this article. Components of a Modern Analytics Ecosystem Data Collection and Integration The phase of data gathering and integration is at the core of a contemporary analytics ecosystem. Various sources, such as internal databases, external APIs, sensors, social media, and more, are used by organizations to collect data. This information is then combined, creating a single format that can be analyzed. A successful integration guarantees accurate, consistent, and current data...

Modern Analytics Platform for Life Sciences - Why Do Life Science Companies Need A Modern Analytics Platform? The present 'savvy' customers have wellbeing data readily available. They are taking a gander at expert guidance and proactive consideration from the healthcare business. Hence, life sciences organizations are attempting to stay up with the client. They are moving from treatment to preventive research. Much the same as different ventures, it is time that the life sciences organizations receive information, examination, and influence they experience deliberately for their potential benefit. Many life science companies want to adopt an integrated analytics platform to: Make their analytics capabilities more efficient, scalable, and adaptive to emerging data sources. Leverage increasing amounts of data and accelerate insight generation. Accelerate analytics programs for R&D to commercial terms. Enhance ad hoc analytics capabilities by leveraging artificial intelligence and machine learning. Optimize costs by leveraging cloud and proven solutions in the industry...

More Descriptive Analytics Examples - The next way both employees and leaders use data to transform the way their business is: 2. Increased Operational Efficiency and Asset Utilization One major part of analytics made possible with business intelligence is descriptive analytics. "Simply explained, descriptive analytics evaluates business data and converts it into something decision makers can understand and base their actions on," says Kwon Mullens, a business researcher at Supreme Dissertations. "Simple examples of descriptive analytics reports are sales, customer, and operations reports." By analyzing these reports with business intelligence tools, logistics, warehouse, and asset managers can access the context they need to improve their decisions. For example, a logistics manager can view and monitor key performance indicators in an interactive supply chain dashboard to identify issues and make corresponding decisions quickly...

Most Time Consuming Aspect of Analytics - The first question reads, what is the most time consuming aspect of analytics? It’s like a process where you’re processing raw material into some finished good. The finished good is insight, and the raw material is data. People generally tell us that the data part of that equation is the most time consuming. It happens to be not just my opinion, but the opinion of most people that I talk to. If It bears the most fruit, it’s the most worthwhile. It may be the most time consuming and costly, but making sure that your data is accurate, making sure that it’s clean, making sure that you have basically rooted through to make sure that you capture the right sources of data, and that you are delivering it to the right people, that is the most important. Think of it as a foundation of a house or a building. The stronger that the cleanliness and the usability of that data is, the stronger that the insight that is going to come out on the other end is going to be. So that’s typically is what I have seen. Besides being the most time consuming, it really is the hardest. As much as we talk about Big Data and getting it out there, if you don’t take the time and investment to ensure the data quality and to cleanse the data and to standardize that information, it really still becomes that question, is this data accurate, and should I rely on it...

Music Analytics Dashboards - TNowadays, streaming media has been one of the most complex business scenarios. Data management ability and trend analysis are of great significance for audio streaming platform and content creators. InetSoft's business intelligence tool makes a solution of high applicability and flexibility possible to drive business breakthroughs...

MySQL's Advantages and Disadvantages for Analytical Reporting - Can MySQL be used for data analytics and reporting? Thousands of installations, configuration, and optimization manuals and courses for MySQL are available online. None of these articles, however, ever pause to consider if MySQL is the best option for business intelligence. The apparent qualification being that the scope, schedule, and budget of each project vary. By listing some of its features, this article will try to address the topic of how Oracle's MySQL fits into the world of analytics. This essay will not tell you if MySQL is excellent or bad, but rather whether it could be a suitable choice for a BI project. What kind of data are you looking at? In order to handle relational data, MySQL was created. Don't even think about using MySQL if you have a lot of qualitative data, such as social media postings, photos, or text. There are NoSQL systems, such as MongoDB, that are far more suited for this role, despite the fact that MySQL has made efforts to better manage these sorts of data. This is particularly true if you want to use the data to conduct analytical queries...

Native Big Data Analytics Application - Hadoop/Spark has emerged as an open standard Big Data Operating System with wide community support. It allows the usage of in-cloud or on-premise commodity hardware to effectively address the "3 V's" of Big Data: volume, variety and velocity. Moreover, it brings a new generation of intelligent functions as standard components including machine learning, real-time streaming and graphical analysis. This combination makes it an ideal operating system for data processing. Data Operating Systems, like regular operating systems, provide powerful base functions. These functions are essential for programmers, but business users can only benefit from them through applications created by programmers. This is analogous to how business users need an app like Microsoft Office to benefit from Microsoft Windows. InetSoft's data intelligence app is the application for data analytics, visualization, dashboards, and reporting that's specifically designed for this Big Data Operating System...

New Insurance Industry Analytics - Well, I think, unfortunately, in most claims departments, information is divided up into data silos, and that includes claims management systems that can only provide basic and limited reporting to separate litigation management systems as well as separate reinsurance systems and customer data repositories, just to name a few. The problem with this is that fractured data leads to obviously a number of issues that impede success. So for instance, when a claims operation accesses data from multiple data basis, there is no one single version of the truth or claim. So there is a greater likelihood that the claims adjuster may get multiple answers, right or wrong, from the data. Further exacerbating to the claims handler is the fact that he or she may have to go to multiple source systems or people for an answer. So this is obviously very costly for a claims organization, especially since you consider that a lot of claims organizations are under a lot of cost takeout needs and controls right now...

OLAP and Data Warehouses - Information for those looking for OLAP reporting. InetSoft provides dashboards, reporting & visual analysis software that can access OLAP data sources and cubes. Take advantage of the pre-and post-aggregation functions of your OLAP server, and add a very rich, powerful dashboard and reporting front-end to it...

OLAP Charts - OLAP is well established in traditional business intelligence. To ensure premium performance, it is supported in InetSoft software by a special OLAP data warehouse. InetSoft's OLAP Analyzer is an integrated OLAP front-end that allows business users to tap into this rich source of data...

OLAP Reporting and Dashboard Tool - InetSoft offers a software platform for dashboards, visual analysis, and reporting to be used in conjunction with an OLAP server or any combination of open standards data sources. InetSoft's Style Intelligence supports popular OLAP servers such as Microsoft SQL Server Analysis Services, Hyperion Essbase, and SAP NetWeaver...

OLAP for SQL Server - InetSoft's analysis and reporting software can access OLAP cubes such as Microsoft SQL Server Analysis Services and many other data sources...

Omnichannel CX Analytics Solution - Let's go ahead and dive in to our first topic. In the age of digital omnichannel CX, Abhi, what metrics do you think matter the most? Abhi: I think some of the mainstays that I would think drive the customer experience, obviously, the top and foremost is customer satisfaction. They'll tell you immediately if their experience has been great, or if it could be improved, and they're not shy about letting us know that. I think some of the other things that we look at is NPS, or net promoter score.What's important there is making sure we're delivering on any SLAs, service level agreements, so that we're meeting customer expectations in the time that they would expect us to respond. Then with escalations, how often customers have to escalate issues for more visibility or urgent issues that are important to them. Interviewer: In terms of the metrics clients typically rely on, what's your take? Navish: I do see a lot of those as well, NPS, CSAT, or customer satisfaction. Then I see a lot of focus as people move upstream, because those CX metrics are outputs. They analyze the KPIs that will add value and eliminate the concerns around that. Moving towards resolution metrics that I think we'll talk about as well, whether it's issue resolution or first call resolution...

Online Analytic Dashboard Creation Solution - Looking for a good online analytic dashboard creation solution? 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...

Online Gaming Analytics - In recent years, video games have grown to be the largest media category by revenue, even larger than music and film. According to various industry research firms, the gaming industry is also the fastest-growing, with around 10% annual growth. Having an accurate picture of the gaming market is important when launching new products, designing new games, or judging investment opportunities. InetSof's business intelligence software offers a full scope of analytics capabilities for helping gaming companies and investors to understand the development trends of online gaming...

Online Analytical Processing Reporting - Information for those looking for OLAP reporting. InetSoft provides dashboards, reporting & visual analysis software that can access OLAP data sources and cubes. Take advantage of the pre-and post-aggregation functions of your OLAP server, and add a very rich, powerful dashboard and reporting front-end to it. Created for professional report designers with advanced features, the Report Designer is a powerful desktop application that is used to produce both simple and highly complex pixel-perfect paginated reports for online viewing or scheduled automated distribution. Embedded logic and flexible layout are a few example features of advanced report design. Used by professional data modelers to build generic data models and individual queries. Data Models serve as the foundation for ad-hoc reporting, OLAP analysis, visual analysis, multi-dimensional analysis, monitoring dashboards, interactive dashboards, and executive dashboards. Models can be built against translational DBs and data warehouses. End users can define alerts and notifications based on individual reports. Trends, thresholds, and time conditions can also be combined to define an alert condition. Distribution lists can be created and maintained...

 

Online Food Delivery Analytics - In the ever growing competitive industry of online food ordering delivery, continuous improvement to achieve higher customer satisfaction is the main agenda for all organizations involved. Today, when customers look to order food online through phone apps, their decision making is eased by the multitude of food service options available to them, catered to their taste and personality...

Online OLAP Defined - Online OLAP is short for web-based (online) analytical processing. It is an approach to briskly answer multi-dimensional analytical queries. Typically, applications with the capacity for OLAP include business reporting capabilities for marketing, sales, management reporting, and other related facets of an organization...

Operators of Casinos Use Analytics to Improve - Analytics is an invaluable tool to ensure a company's development and growth. The metrics they produce are the driving force behind successful advertising campaign strategies. They can often be the savior in discovering why things are going wrong. Nowadays, almost every business will use analytical tools to aid their business model, from social media platforms such as Facebook to consulting firms like Scanteam. No matter what the industry, extracting data intelligence has a myriad of benefits. Analytic data in the casino industry has many uses. According to Alex Lysak, it has been used for decades in brick and mortar establishments to improve and expand. Thanks to the advancement in analytic technology, casino science is now revolutionizing online operations. Below, we'll explore how casino managers use analytics to improve their businesses...

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