InetSoft Product Information: Analytics

This is a table of contents of useful product information about, and benefits of, InetSoft's analytics capabilities built into its business intelligence software for dashboards, reporting, and mashups:

Business Analysis Solutions - Are you looking for a way to increase profitability? Maybe you're searching for the ideal way of doing business. Perhaps you just want to know why your business is doing well, or how you can maintain that status. Fortunately, you can find the answer to all of the above inquiries through business analysis. Business analysis is the process by which you identify what your business needs and determine how you can best meet that need...

analytics product demo
Click this screenshot to view a two-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.

Business Analytics Software - Today we are going to talk about business analytics. I want to start by referring to a man named Thomas Davenport who has written a book, Competing on Analytics, which is based on a study of companies using analytics. Among the findings he reports in the book, he discovered that the top performing organizations are 50% more likely to utilize information strategically or analytical information strategically. There are a couple of levels of strategic analysis that he is referring to. One level is where there is significant analytical support within an organization. This means that they are a data driven organization. They make decisions based off of the actual information available as opposed to gut feel which is often the case when people don’t have adequate access to information. The next level is where they value analysis across the organization from a sponsorship or from an executive level. They also have higher than average analytical support capabilities. And finally the last level is when they have analytics across the organization. This means not just for the privileged executives or the technically capable analysts but for all users including the business users, the casual users, people who don’t necessarily spend a lot of time in business information systems. The key message here is that analytical information can help drive strategic performance and competitive performance in the organization...

Business Intelligence Analytics - InetSoft's business intelligence analytics solution features a powerful computational engine that is capable of integrating data from various sources simultaneously and providing real-time human-centric results and analysis through visualization driven charts, dashboards, and reports...

Business Intelligence and Analytics - InetSoft's Style Intelligence provides the reporting and analysis basis needed to guide your daily actions and tweak your strategy for the better. With this high performance dashboard software, you can gain real-value insights that are both meaningful and actionable. InetSoft's Style Scope is an easy-to-use, interactive dashboard software that includes real-time reporting capabilities. It gives the user the ability to collaborate the afforementioned data block technology with BI visualization..

analytics product demo
Click this screenshot to view a two-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.

Business Intelligence vs. Business Analytics - What is the difference between business intelligence and business analytics? Since the two words are often incorrectly used interchangeably, the distinction can be confusing...

Case Study About Using Analytics to Perform Better - The next case study about using analytics to perform better is about a racing team. I’d like to ask all of you what does winning the race mean to you. This racing team is literally using data to win races. They are taking in over 30,000 bits of information per second during a formula one race. They have the guys in the pit looking at the information and can know exactly when a driver needs to stop at the pit to change the tire up to the sub second, and they can do all preventative maintenance at that moment. The driver receives real time information to better perform and win the race and knows exactly what their competitors are doing. He knows exactly when they’re breaking, exactly when they’re pushing the gas and what he needs to do to win that race. What is most interesting about this is not the fact that they’re using data to win the race, not the fact that they’re doing preventative maintenance, but the fact that they are then using this information to improve the quality of the car’s features, so they can minimize pit time and improve the driver’s performance in the future. So this is taking data and becoming a Big Data company. They could -- they are literally, this is their differentiation to win that race. And the last point that I like to hone in on although I have so many I want to share and that are so profound I love to share something like this and I had so many around this but how do you actually change the world and change healthcare you know in the future...

Case Study of Event Marketing Analytics - Let me give you an example of event marketing analytics. When you’re planning big conferences you want to understand how many people are registered from what industry and what type of programs. Do you have content to meet all of their needs? So you have a data scientist or a data analyst bring together this information with a BI tool. It’s a massive amount of data from many sources, and you bring it together, data from registrations, from Twitter about what’s the sentiment of the event, historical information on past events to understand what was successful in the past. You mash it together. The questions that your CMO asks are very different than the questions of the event planner who was setting up the event. The operations people also use that data, but they ask very different questions, and they manipulate that data in very different visualizations. And that’s what I’m talking about. That needs to happen in the future, because the reality is not only do people get involved in data more than they ever have before, but also people’s needs in terms of what they do with data has changed...

analytics product demo
Click this screenshot to view a two-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.

Central BI and Analytics Team - The central BI and analytics team has a lot of visibility into the different data sets people are using and how they are building their worksheets or dashboards because they are able to see what's popular, what's not, what maybe is coming from sanctioned sources versus we call more unsanctioned sources. They can keep a good eye on things. So it's enabling people to continue to explore their data in an unfettered manner, but also helps people to be able to get really good visibility into what data is being used to make decisions and standardizing data definitions and those things. And yeah that was the use case I wanted to highlight. We've have some other really fantastic partners playing in the space because it's one that's very hot right now. Holly: Well, it does speak to helping with self-service and both the agility of the pipeline that the metadata and helping people learn what's available and how to get at it. It speaks to increasing the agility of the pipeline. It really helps with that, and it's the same with the balance between the governance and self-service...

Compress the Time Between Analytics Question and Answer - Right, well suffice to say it certainly sounds like you've been able to compress the time between analytics question and answer. This isn't a long term batch issue, and that allows investigation to take place where one answer to a question leads to the next question, and you can't get there rapidly without that process. So tell me a little bit about speed, not just speed of data but speed of investigation. How is your data science solution supporting that? Jim: So one of the most difficult things to do it in investigation is if you imagine a dataset of a billion services, and that's a pretty good number of services. What I mean by service is when you go to the doctor, and they do a procedure, that's typically called a service, and when you have giant dataset of a billion or more of these services your job is to go figure out today which ten are bad. That's a classic needle on a haystack. So what we've done is provided a risk management framework over the top of that where we have advance sensors in our data science platform that go and look for all these combinations of bad behaviors up in mass, and the analytics will run these things very, very fast, and they supply up all of the services which are highly questionable...

Concept of the Analytical Enterprise - We've spoken a little about the whole concept of the analytical enterprise. This slide tries to reflect that. Analytics in the insurance organization is interconnected. Of course, we can start anywhere on this wheel, but let's start just for the sake of a particular point in the area of risk appetite. The topic of risk tends to underpin the strategy of an insurance company. Risk starts driving issues like underwriting and pricing, and of course, then that's not influencing the whole topic of marketing and distribution because if the insurance company identifies what they want to underwrite and want the price competitively, then that informs the marketing and go to market strategy generally. Once you've identified what they are selling and who they are selling to, there is a whole issue of the servicing topic including claims management. Claims we recognize as being the moment of truth in the insurance value chain. The claim service invaluably involves the use of the supply chain system. Claim settlement is based on supply chain management, and analytics can be a key tool in terms of how we actually deliver that. If supply chain management is poorly done, then that gives rise to operational risk which takes you all the way round again in terms of risk appetite and solvency. It's a complex and interactive model...

Consumerization of BI for More Intuitive Data Analysis - Sure. Well, so I think that that is fundamental to this whole question, right? I mean everybody wants the device that they use or the apps that they use to be intuitive. But the problem is that there isn’t really native intuition when it comes to software; there is just familiarity. And this software behaves similar to what I have been exposed to in the past, and that sort of replaces innate intuition. And so I think that brings the difference between training and education to the forefront. With training, I know what I want to do, I just have to figure out how I do it with this tool. Education is really teaching people what the right things are to do...

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Creating A Hierarchical Olap Overlay - Creating an OLAP overlay is straightforward. The Hierarchy tab of the logical model provides an interface to create the overlay. Entities and attributes are listed in the left pane in a tree structure. To add a dimension to the overlay, simply drag an individual attribute from the ‘Entities’ panel to the ‘Dimensions’ panel. You can also drag an entire entity to the ‘Dimensions’ panel, in which case all attributes of that entity are added as a dimensional hierarchy. The order of dimensions inside each dimensional hierarchy is significant, as this is the order of the drilling hierarchy. When creating dimensions, the Date dimension should be given special attention, since breaking a single date field into individual components can drastically increase usability for the end user. Additionally, mapping date components into business attributes can be a powerful usability enhancement, for example, mapping the month of a date field so that June becomes “calendar month 1,” and so on. To create new date components of this kind, you can define expression attributes in the Model tab. These expression attributes will then be available for use in the hierarchical overlay. For example, to create a new ‘Month’ attribute in which June is “calendar month 1,” you could define a new expression attribute with the formula...

Customer Analytics Software -InetSoft's unique interface consists of reporting options which are flexible and adjustable to the needs of the user. With the user in mind, the software was designed to be easily deployable and to require minimal training. Style Intelligence provides businesses with a software solution that securely collects data from various data sources and efficiently compiles the information to produce high performance dashboards. These dashboards contain interactive graphs, complex charts, and detailed reports that are easy-to-read and ready for analysis...

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View a 2-minute demonstration of InetSoft's easy, agile, and robust BI software.

Dashboard Analytics Provider - Are you looking for a good dashboard analytics provider? Since 1996 InetSoft has been making BI software that is easy to deploy and easy to use. Build self-service oriented dashboards and visual analyses quickly. InetSoft's data mashup engine solves the data access and transformation challenges that other tools cannot. View a 3-minute demo and read customer reviews...

Data Analysis Program - Are you looking for a data analysis program to help you visualize and analyze data, answer business queries, and increase overall project efficiency? Since 1996 InetSoft has been making BI software that is easy to setup and easy to use, allowing users to build self-service oriented dashboards and visual analyses quickly.

Data Analysis Reporting - Official reports complete with data analysis are vital for a business to identify their strengths and weaknesses. Data reporting is the process of collecting data and manipulating it to make it clearer for the audience that is analyzing it. For instance, if a business that baked cookies was trying to show an investor the data involving their sales and which months their sales were the highest, they would have a difficult time just showing them the raw data and trying to explain the correlation between the two...

Data Analysis Software Download - Are you looking download a data analysis application? Since 1996 InetSoft has been making BI software that is easy to set up and easy to use. Build self-service oriented dashboards and visual analyses quickly. View a 3-minute demo and download a free version...

Data Analytics in the Insurance Industry - The first question to ask really is what do we mean by an analytical insurer. Personally we know that data and the use of data is not new in the insurance industry. In fact, we were using data in the form of MI 20 years ago, and we were putting in a spreadsheet and performing manual data analytics on it. We were able to actually use pivot tables. Things have moved on of course in those 20 years, and of course, nowadays we view the analytical insurer as an insurance company using analytics throughout the organization to improve business performance, with emphasis on the word throughout. Of course, many departments within the insurance business use some form of tactical analytics tools, such as for bidding claims or marketing or risk. Often those tactical analysis tools operate in silos, and the ability to exchange information between the different departments seems to be missing somehow. Really, the analytical insurer, by definition, has to have an enterprise wide view of the data and information available to them. Of course, never more has it been critical for an insurer to have an enterprise wide view than the current time. The slide in front of you reminds you that the insurance business really is quite an interconnected red fuse, for lack of a better expression. The issues of distribution, consumers both direct distribution and indirect through third parties and the emerging impact of Blockchain are factors. The customer is much more savvy, much more knowledgeable. The digital customer is becoming the norm, and of course, different customers behave in different ways...

Read the top 10 reasons for selecting InetSoft as your BI partner.

Data Analytics Software - InetSoft Technology provides business intelligence software that is sure to meet the needs of any organization looking to grow. Developed with the customers in mind, our complete business intelligence suite, Style Intelligence, is a simple solution to some of your most difficult problems. InetSoft's software translates large sets of data into clear concise dashboards and/or reports.With Style Intelligence's unique and versatile features, companies can monitor and track their business from adolescence to maturity and beyond...

Data Analytics Software Samples - Searching for the best data analytics software samples? InetSoft provides examples from its highly-rated, easy to use dashboard analytics software...

Data Analyzing Software - Is your company's data too big and complex to understand? InetSoft is your solution. InetSoft is a business analysis software vendor. They sell data analyzing software. With InetSoft's data analyzing software and visualization results regarding internal and external performance can be found that a company would normally not see otherwise...

Data Discovery and Analysis Software - I’m going to focus the rest of this on that top right quadrant which is a big part of what we do. The concept is you connect to data source, and end users do some discovery and exploration and get insights. They see stories. They come to decisions, and then they deliver results to others in the enterprise. It could be that they deliver results out as visual chart in PowerPoint. It could be that they deliver results as a PDF distributed out to a list of 40,000 customers. They may now want to initiate a marketing campaign and send a mailing out, too. There are additional chart types over and above the display types and the reporting kinds of charts. There are charts that are more statistical, and there’s a lot of flexibility with data because in data discovery and analysis, it’s more ad-hoc. We can work with prepared and also unprepared data, excel spreadsheets or hundreds of source systems tables from an Oracle data warehouse...

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Data Mashups vs. OLAP Cubes - It seems to me the whole concept of a mashup is that you really want to enable a very swift and agile world of analysis for your end users, and some of the dashboard products out there are getting a lot easier to use. There are data visualization technologies that are a lot easier to use than they were three-four years ago. So it all seems to be moving in that direction of empowering the end user to mix and match data sets. But it seems to me that ideally the beauty of a mashup environment, if it is done properly, is that you can essentially, I don’t want to say circumvent IT, but you can avoid a lot of the painstaking work required for building specific OLAP cubes. Is that a fair assessment? I think so. I think that it’s certainly enables the end users to act in an agile way. But for me, I also think that situational awareness is also important which is, if I come in the morning, and I have a really good dashboard I can look at my production data landscape and just see very quickly that everything is OK. Or I can look at the previous example of the UN country mashups and just see what’s going on. I don’t necessarily have to act. But if I was to try and gain that knowledge by reading reports, it would take me forever. I really wouldn’t have the time to do it. I wouldn’t be able to get there. So getting situational awareness in a sort of rapid manner that is easy to assimilate, I think is as critical as the ability to act in agile fashion...

Data Mining Software - Data mining software analyzes data from many different angles and compiles it into useful reports. Managers can use the information in these reports to increase their revenue and cut their costs. These applications allow users to examine data from a multidimensional standpoint in order to analyze correlations that are not immediately apparent...

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

Data Mining Tools - Data mining is the process of analyzing data from different perspectives and summarizing it into useful information that can be used to increase revenue and cut costs. Data mining allows users to analyze data from a multidimensional standpoint in order to sort and summarize any relations that are derived. It can be interpreted as the process of finding correlations among a multitude of fields in large relational databases. Companies use data mining to sift through data for market research, report creation, and report analysis. Technology innovation continuously increases capacity for analysis whilst driving down costs. Associations and correlations lead to discovery of information useful to a business. Sales, stock, shipping, and any other number of factors can tell a story and influence managers' decisions. Information attained this way allows for the discovery of historical patterns and trends that can help predict future performance...

Data Sharing and Analysis Between Enterprise Systems - This brings me to the next point. Why is there so much disconnection between enterprise systems from a data sharing and analysis standpoint? I mean given these information silos, is there a way for finance to leverage its investments more effectively? Well, without a doubt, the CFO has the opportunity based upon the knowledge that, if you didn’t have it before today’s webinar, then you hopefully walk away from it with. The ability to integrate and synchronize data to have what you might call one version of the truth is absolutely possible. Now there are challenges and certainly some of these information silos come from the disparate histories or roadmaps of technology acquisition, whether it was through companies being acquired or merged or if you were served by self-sufficient IT. There are a variety of reasons why the data may not be internally integrated, but it is entirely possible to do so, and there are good reasons why this makes good business sense. You can see here in the slide. You can see that I am showing you here in dark blue the users of a well-integrated mobile BI infrastructure, which implies, if you will, this data harmonization and that there are on-users, those who do not actually have this capability at all...

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