Documentation to assist with the sales process of Yellowfin. this includes competitive comparisons, POC guides, sales cycle docs and proposal etc.
The following brochures have been written by Yellowfin to provide more detail on the ways you can use Business Intelligence in your organisation or integrate it into your application.
Case Studies provide insight into the use of Yellowfin for various types of deployments - including direct as well as indirect deployments.
The following white papers have been written by Yellowfin to address the business and technical questions you have on business intelligence.
Marketing collateral and brochures to aid in Yellowfin lead generation and building your Yellowfin brand.
7 things your BI platform is missing8 Apr, 2016
7 things your BI platform is missing
7.1 Release Notes3 Oct, 2014
7.1 Release Notes
Collaborative Business Intelligence15 Mar, 2012
Social and collaborative Business Intelligence will change the way organizations do business. Find out more about the collaborative features of Yellowfin's BI platform.
Comprehensive Partner Program5 Dec, 2012
Comprehensive Partner Program
In-memory Analysis & Fast BI1 Jun, 2010
A brochure that highlights the benefits of in-memory analysis.
Introducing Yellowfin8 Apr, 2016
iPhone App Fact Sheet5 Apr, 2012
Outlines the features and functionality of Yellowfin's new native iPhone application for Mobile BI. The document also explores the philosophy underpinning application development in the context of the proliferation of Mobile BI and enterprise mobility.
ISV Brochure16 Nov, 2015
Yellowfin embedded into your application provides you with a world class reporting and analytics capability. Gain competitive advantage with Yellowfin BI!
Mobile Business Intelligence by Yellowfin20 Apr, 2012
Yellowfin�s native Mobile Business Intelligence (BI) applications for the iPhone, iPad and Android devices provide business professionals with the flexibility and security they require to access business critical information, wherever they are, and whenever they need it.
Storyboard Fact Sheet29 Nov, 2012
Storyboard Fact Sheet
Yellowfin Overview - 8 Pages1 Dec, 2014
General brochure that highlights the functionality of Yellowfin for a direct client sale
Yellowfin is an innovative and flexible solution for reporting and analytics, providing a full range of data access, presentation and information delivery capabilities. For many organisations, the business intelligence (BI) system enables power users and skilled business users to report on and analyse business data so that organisations can reduce costs and increase revenues. Many companies and government agencies routinely use a BI system for strategic and tactical decision making. For BI to reach its true potential within organisations it must become pervasive. BI tools must be easier to use and provide insights into business events as they happen. Yellowfin is achieveing this goal by making Business Intelligence easy.
Agile Business Intelligence22 Dec, 2010
The paper discuses the ability of an Agile Business Intelligence (BI) rollout to respond to changing data analysis and reporting needs, and provide vital insights into an organizations? operational environment in shorter timeframes, with less complexity. The concept of Agile BI is divided into three equally important sections: Technology, Culture and Process
Barry Devlin: BI Data Governance Whitepaper4 Sep, 2017
Barry Devlin: BI Data Governance Whitepaper (March 2017)
Business Intelligence in the Cloud13 Oct, 2010
Utilizing SaaS solutions are an effective way to minimize costs and maximize performance. But, there are many noteworthy benefits of clouding Business Intelligence (BI) and using a BI reporting and analytics tool as a SaaS application.
Yellowfin is Cloud ready. With little effort you can deploy Yellowfin in the Cloud and start building your analytical applications straight away. Scalability: Yellowfin, with its 100 percent browser based interface, offers enhanced scalability with robust clustering administration allowing for far larger and complex deployments. Full functionality: As a SaaS application, Yellowfin provides a full-range of reporting and analytics capabilities to end-users, including personalized dashboards, report scheduling and alerts, OLAP slice and dice, drill-down and drill-through capacity. Yellowfin supports virtualized environments Yellowfin?s multi-tenancy support: Yellowfin supports the complexities of multi-tenancy environments, including the ability to partition data access based on user ID. With Yellowfin, it?s possible to share common content across users, as well as allow users to create their own unique reports. Yellowfin security: Yellowfin?s robust security model is ideal for cloud deployments. You can use role-based security to limit access to application functionality, content security to determine access to reports, and dashboards and data security to limit access to sensitive data at row level.
Dashboard Best Practices Guide9 Aug, 2016
Dashboard Best Practices Guide
Data Culture Guide4 Sep, 2017
Data Culture Guide (February 2017)
Data Driven Marketing Whitepaper1 Sep, 2016
Data Driven Marketing Whitepaper - 2016
Data Driven Solution Brief1 Sep, 2016
Data Driven Solution Brief - 2016
Data Monetization Guide4 Sep, 2017
Data Monetization Guide (December 2016)
Data Visualization Best Practices5 Jul, 2016
Data Visualization Best Practices Whitepaper July 2016
Embedded Location Intelligence26 May, 2010
How to embed location intelligence into 3rd party applications
Our ability to exploit the massive amounts of complex, disparate data will never be resolved by the traditional technology we introduce or the common techniques we attempt to implement. Pie charts and other typical graphics, for example, fall short of supporting better decision making. A pie chart is simply not sufficient to interrogate a large OLAP cube or provide the necessary insight from the data pushed into our dashboards. Innovative visualization technology is necessary to effectively synthesize detailed data into information and present this content in an understandable manner to users. However, for leading business intelligence (BI) environments, this visualization must be based on spatial (geographic) data. Effective BI, therefore, is dependent on its capacity to include spatial data and deliver Location Intelligence. Integrating spatial data with visualization technology delivers accurate, high-impact information content. Solutions like Yellowfin deliver this integration, transforming data into human understanding and actionable insight.
Embedding In-memory Analytics into A Software Solution26 May, 2010
This paper describes the technical and business benefits of embedding in-memory analytics into a software solution.
In-memory analytics is making it even easier to integrate Business Intelligence into your applications and allows for rapid deployment and access to new revenue streams. In today?s environment your customers are demanding more from their technology partners. With in-memory analytics listed by Gartner Business Intelligence group this year as the most important emergent technology in the BI space, it is little wonder that executives are actively looking for applications that offer it seamlessly. It?s for this reason that software vendors need to be fully aware of the in-memory technologies available in today?s market place and what the pros and cons are of each before integrating a BI solution.
Governed Data Discovery Best Practices Whitepaper4 Sep, 2017
Governed Data Discovery Best Practices Whitepaper (March 2017)
In memory analytics27 Apr, 2010
This white paper describes the benefits of and use cases for in-memory analytics as part of your BI solution.
The recent advent of in-memory analysis means that BI expectations have changed forever. Dealing with overly complex software designed for a handful of power users involving long deployment cycles and low project success rates is no longer acceptable. Today, smart companies are striving to spread fact-based decision making throughout the organization, but they know they can?t do it with expensive, hard-to-use tools that require extensive IT hand holding. The pace of business now demands fast access to information and easy analysis; if the tools aren?t fast and easy, Business Intelligence will continue to have modest impact, primarily with experts who have no alternative but to wait for an answer to a slow query. In-memory analysis and reporting delivers rapid access to visually rich, interactive dashboards that anyone can build quickly and modify easily. It enables users to see and know their businesses in new ways and interactively explore data without limits. Now, users can engage their data with blazing speed, resulting in more informed, proactive decisions. For IT departments, it means which far less time spent on query analysis, cube building, aggregate table design, and other time-consuming performance-tuning tasks.
In-memory Analysis Fact Sheet10 Sep, 2010
Yellowfin's in-memory database is a columnar database where the data is stored in memory and not on disk as with traditional database tools. This fact sheets outlines the benefits, use case and sizing requirements to optimize the performance of the Yellowfin in-memory database
One of the key benefits of in-memory analysis is the ability to use it as part of your agile development process. In an agile environment you can use the in-memory database to build rapid proof of concepts, or throw away analytical applications that can be used to solve particular business problems without the need to invest heavily in a full blown data warehouse environment. In this way Yellowfin shortens the development life cycle by remove some key steps from the process. I doing so end users can start to use the data you have provided to rapidly deliver reports and insight into the business.
Location Intelligence White Paper26 May, 2010
Integrating spatial data with visualization technology delivers accurate, high-impact information content. Solutions like Yellowfin foster this integration for BI applications, transforming data into human understanding and actionable insight.
Today?s knowledge workers deal with vast amounts of data in a variety of formats, from spreadsheets and databases, to online content such as statistical data. The recent trend towards mash up solutions in which information and content from multiple sources is combined to create versatile online applications is indicative of the way that business users use highly integrated solutions to make sense of the vast amount of information that is available to them. At the same time, advances in technology have led to the proliferation of geographical services, including online mapping solutions such as Google Maps and Microsoft? Virtual Earth. This technology was once the preserve of geographic information system (GIS) specialists but is now widely available to everyone. These two factors bring new expectations and opportunities for organizations. The ubiquity of geographical services, and the increasing sophistication with which users can consume data means that spatial information is just another component to be incorporated into a Business intelligence solution and used as a basis for making better decisions and providing higher value services.
Measuring data quality for successful Master Data Management14 May, 2010
Business Intelligence systems are designed to help organisations understand their operations, customers, financial situation, product performance, trends and a host of key performance indicators. This information is used to make both tactical as well as strategic decisions. Poor intelligence results in poor decision making. The costs can be enormous. Over the last few years, a serious effort has been made to understand the main cause of poor quality business analytics. The majority of organizations and analysts now agree that one of the main reasons that BI projects fail to deliver is because the operational data feeding the analytical engines is filled with errors, duplications and inconsistencies. If the poor quality reporting is to be fixed, it has to be fixed at its source. This is achieved by addressing poor quality data in the applications that run the business via Master Data Management (MDM). MDM is the glue that ties analytical systems to what is actually happening on the perational side of the business and Yellowfin BI is the perfect tool to analyse and report on that data. This paper will discuss how Yellowfin assists in the MDM process; the importance of data quality, and how reporting on relevant metrics is vital for a successful project.
Business Intelligence systems are designed to help organizations understand their operations, customers, financial situation, product performance, trends and a host of key performance indicators. This information is used to make both tactical as well as strategic decisions. Poor intelligence results in poor decision making. The costs can be enormous. Over the last few years, a serious effort has been made to understand the main cause of poor quality business analytics. The majority of organizations and analysts now agree that one of the main reasons that BI projects fail to deliver is because the operational data feeding the analytical engines is filled with errors, duplications and inconsistencies. If the poor quality reporting is to be fixed, it has to be fixed at its source. This is achieved by addressing poor quality data in the applications that run the business via Master Data Management (MDM). MDM is the glue that ties analytical systems to what is actually happening on the operational side of the business and Yellowfin BI is the perfect tool to analyze and report on that data. This paper will discuss how Yellowfin assists in the MDM process; the importance of data quality, and how reporting on relevant metrics is vital for a successful project.
Mobile BI and Analytics23 Nov, 2011
The convergence of Business Intelligence and mobility, resulting in the capability to deliver data anytime anywhere, has been well underway for some time. Professionals are fast becoming comfortable with the use of smart phones not only for communication purposes but also as a means of keeping up to date on business information. The result of this is that your company?s work force will soon see mobility as the norm rather than a specialised set of applications when they happen to be on the road. The dispersed work force and the end of the commuting to a cubicle era will soon be upon us, and you should build out the IT plan to accommodate mobility as the rule rather than the exception.
With the advent of the mobile phone a fundamental shift occurred in telecommunications. You no longer called a place but you called a person. The internet provides an even greater degree of interconnectivity, and it is these changes which are having a profound impact on businesses and the way in which they manage their people mobile or otherwise and the access that they provide to their data assets. This white paper addresses these changes and discusses the impact it is having on business information delivery. The convergence of Business Intelligence and mobility, resulting in the capability to deliver data anytime anywhere, has been well underway for some time. Professionals are fast becoming comfortable with the use of smart phones not only for communication purposes but also as a means of keeping up to date with business information. The result of this is that your company?s work force will soon see mobility as the norm rather than a specialized set of applications when they happen to be on the road. The dispersed work force and the end of the commuting to a cubicle era will soon be upon us, and you should build out the IT plan to accommodate mobility as the rule rather than the exception.
SAAS integration and deployment1 Jul, 2010
A technical white paper that describes Yellowfin's approach to a SAAS integration and deployment.
Yellowfin is the only BI product that has been designed from the ground up to support SAAS deployments either as a standalone application or embedded into a SAAS solution. You can deploy Yellowing in traditional hosted environments or in the Cloud supporting either multi database or multi-tenancy environments. At Yellowfin we understand the complexities of Multi-tenancy support. You have gone to a lot of trouble to build an application that partitions data based on your client id - well here is a BI tool that lets you continue to do the same.
Social & Collaborative Business Intelligence15 Mar, 2012
Social and Collaborative Business Intelligence (BI), a type of collaborative decision-making (CDM) software, harnesses the functions and philosophies of social networking and Web 2.0 technologies, applying them to reporting and analytics at the enterprise level to facilitate better and faster fact-based decision-making. Discover how to maximize the power of reporting and analytics and achieve unparalleled return on investment with Yellowfin's complete CDM module.
Spreadsheets within a BI environment8 Jul, 2010
How to manage the risks and issues of spreadsheet reporting within a BI environment.
Despite all of the technology advancements, excel spreadsheets are still widely used by business users to create stand alone databases that allow them to merge external and internal data for reporting and analysis purposes. There are many reasons why this occurs, however; fundamentally it is because the business user does not have a viable alternative. They use spreadsheets because they do not have a choice. The lack of access to a BI tool that embraces spreadsheets as a data source and the lack of IT priority to managing the spreadsheet data issue contribute to the continued use of spreadsheets as a reporting tool. In this whitepaper we explore why spreadsheet reporting is pervasive and what the ramifications are, including the risks and issues that it poses to organizations and what steps can be taken to mitigate these. Beyond that, we analyze why Business Intelligence solutions need to accommodate spreadsheet reporting, what technology has to underpin it within an organization, and what is involved in adopting Business Intelligence with spreadsheets as a data source.