White Paper: Sisense
To capitalize on the value of their information, many companies today are taking an embedded approach to analytics and delivering insights into the everyday workflow of their users through embedded analytics and business intelligence (BI).
However, in order to successfully expose analytics to customers and partners, companies are faced with three many challenges such as manage complex data quickly, sharing data and insights securely.
This guide includes a general overview of BI & Embedded analytics, the different approaches to embedding BI and analytics, and the benefits and challenges of the most popular BI solution technologies that offer OEM partnerships.
Key takeaways form this white paper:
An overview on embedded business intelligence & analytics
How to Make Analytics Your Competitive Differentiator
Top Approaches to Embedding Analytics
Comparing Embedded Analytics Partners
Unique Technical Benefits of Sisense OEM Solution
Organizations need a business intelligence solution that combines both back-end and front-end functionality addresses all the requirements and goes beyond front-end only data visualization products, to allow your enterprise to make the most of the current and future business intelligence possibilities. Many organizations lack the tools to transform gold mine of data into business results since they only look at “business intelligence” label on a solution at face value that focus only on data visualization. This white paper about “Full-Stack vs. Front-End-Only BI Software” explores the differences in the two approaches of singlestack BI vs. data visualization while highlighting the challenges in performing important BI tasks. Some of them are as below: Preparing data Joining data sources Analyzing data Scaling Collaboration
Business intelligence (BI) application is increasingly cited as the way to get actionable insights out of the data growing every day, to improve business performance and results. If your enterprise is like most others, and struggling to get valuable insights from data you want to make smart business strategies and take good business decisions. Also, you probably already possess or have access to data that can help you in both areas. However, it may not be so obvious to decide how to handle that data, and which approach or tool will be the most effective. Is business intelligence the right solution? Read this white paper that explains how to evaluate your situation to see if a business intelligence solution makes sense for you and how you can decide for your own enterprise. Key takeaways from this white paper on business intelligence: Warning signs that information needs are not being met. Four steps you must take to generate useful BI dashboards and reports. Alternate business intelligence approaches for complex data. Determining the type of business intelligence solution that is most appropriate for your needs.
What is Business Intelligence ?
Business intelligence is a technology-driven process in which variety of software applications are used to analyze organization’s raw data and presenting the information in actionable format so executives and business leads can make better decisions looking at them. Although business intelligence has some common functions, it includes three basic functions: data mining, data analyzing and data processing.
What is Business ?
By definition a business is an organization or economic system with consistent and typical exchange of produced goods and offered services for one another or for money to fulfill human needs. Types of businesses, Non-Profit business: This is a type of business with charitable or educational goal rather than earning money from its services.
What is Business Intelligence System ?
The technology, methods, and applications used for the integration and presentation of business information, is known as Business Intelligence System. The business decisions making made by an enterprise is supported by the Business Intelligence System. Through business intelligence, one is enabled to have a more tactical and meaningful business decision. In other words, it is also the process of transforming raw data into meaningful information to make an informed business decision that helps in